Please note, this is a talent pool position, not a live role. If you would like to be considered for any future Data Analyst positions at DEPT®, please submit an application and we will be in touch when a suitable opportunity arises.

WHY DEPT®?

We are a Growth Invention company built to help the world’s most ambitious brands grow faster. Operating at the intersection of technology and marketing, we create what is next by pioneering ideas, acting fast, and moving further because standing still just is not in our DNA.

We are drawn to people who stay curious, move with intent, and never stop inventing. Our culture runs on three values: better together, relentlessly curious, and get sh*t done. It is how we work, how we grow, and how we make things that matter.

At DEPT®, you will find the freedom to explore, the space to collaborate, and the trust to make a real impact for our clients, for each other, and for the world we are helping to build.

THE ROLE:

Ready to move with intent? As a Data Analyst, you own the narrative. You translate complex data into actionable insights that drive real business results. You are a consultant to our clients, helping them navigate their data to make smarter marketing and technology decisions.

WHAT YOU’LL DO:

• Develop and maintain sophisticated dashboards that provide a holistic view of client performance.
• Perform deep-dive analyses to identify trends, audience behaviors, and conversion bottlenecks.
• Translate business requirements into technical data specs for the engineering team.
• Advise clients on data collection best practices and measurement frameworks.
• Mentor Core Analysts, ensuring high standards of "getting sh*t done" across the team.

WHAT YOU BRING:

We’re open to see all different levels of experience.

• Proven experience in a data-centric role, preferably within a digital agency.
• Advanced proficiency in SQL and experience with BI platforms (Looker, Tableau, etc.).
• Familiarity with digital marketing platforms (Google Ads, Meta, GA4) and their data structures.
• The ability to present complex findings to stakeholders in a clear, compelling way.
• Knowledge of basic statistical concepts and A/B testing methodologies.

TAKE INTO ACCOUNT:

• You will have to communicate with your team members abroad, therefore fluency in English and excellent communication skills (both written and verbal) are a must for this role.

WHAT DO WE OFFER?

• We enjoy spending time together, working closely with other local colleagues, and getting to know one another. Our Buenos Aires offices (Villa Crespo or Mar del Plata) are fully equipped with refreshments and great common spaces!
• Premium healthcare through OSDE for the employee and their immediate family members
• Mendel prepaid card with a monthly allowance for grocery purchases
• Monthly reimbursements for Wi-Fi/electricity expenses
• Monthly reimbursements for training/English classes
• 100% covered “Plan Total” membership at Sportclub
• Access to a our benefits platform through Bonda
• A flexible vacation policy

WE SUPPORT YOU BEING YOU: 

DEPT® is an equal opportunity employer (EOE). We believe our work is its best when our people feel safe and free to be themselves. We’re committed to an inclusive and barrier-free recruitment and selection process and workplace, regardless of anyone’s identity, background, beliefs, lifestyle or disabilities. So tell us about any accommodations you need. It’s totally confidential and only used to make sure you feel fully supported at every step. 

DEPT® participates in E-Verify, meaning your Form I-9 information will be sent to the federal government to confirm you are authorized to work in the U.S. 

We are a B Corp-certified company passionate about purpose-driven work.  Our hope is that you can feel good about the contributions DEPT® is making to the world and we always have an open door for your ideas in making the world a better place. 

DEPT® is a Growth Invention company built to help the world’s most ambitious brands grow faster. Operating at the intersection of technology and marketing, our 4,000+ specialists deliver growth invention across Brand & Media, Experience, Commerce, CRM, and Technology & Data. We’re 50|50 tech and marketing, partner-led, and first to move. Clients include Google, Lufthansa, Coach, eBay, and OpenAI.

Learn more about DEPT®

DIVERSITY, EQUITY, & INCLUSION

At DEPT®, we take pride in creating an inclusive workplace where everyone has an equal opportunity to thrive. We actively seek to recruit, develop, nurture, and retain talented individuals from diverse backgrounds, with varying skills and perspectives.

Not sure you meet all qualifications? Apply, and let us decide! Research shows that women and members of underrepresented groups tend not to apply for jobs when they think they may not meet every requirement, when in fact they do. We believe in giving everyone a fair chance to shine. 

We also encourage you  to reach out to us and discuss any reasonable adjustments we can make to support you throughout the recruitment process and your time with us.

Want to know more about our dedication to diversity, equity, and inclusion? Check out our efforts here.

***Proficiency in spoken and written English at an advanced level is required for this role.

A day in the life:

As a Senior Account Director, you’ll be responsible for working with clients in the Healthcare division. You will have a broad and varied background with hands-on experience across many digital marketing channels and tools. This role will work to drive performance through integrated marketing tactics across paid, owned and earned channels. As a seasoned business consultant, the Senior Account Director will guide and counsel clients on how marketing tactics can drive business outcomes. The Senior Account Director will manage direct reports and lead cross-functional account teams of highly-talented marketers by working closely to optimize their efforts and provide strategic guidance. In collaboration with Account Managers, they will spearhead service expansions, manage media, craft testing roadmaps and lead tactical pivots when necessary. Additionally, you will demonstrate exceptional leadership by gaining trust and providing unmatched strategic insight to their cross-functional account teams. Within the Client Services department, the Senior Account Director will also be responsible for leading key initiatives within the team such as talent acquisition, training or product quality. This is an exciting role for a seasoned digital marketer seeking an opportunity to lead innovative, growth-oriented  marketing campaigns.

Responsibilities:

• Client-centric Communication: Establishes a strong relationship with client key decision makers by hosting monthly one-on-one check-ins to review holistic business performance, gauge sentiment, solicit feedback and share additional opportunities to support the business goals
• Marketing Strategy: Leads the cross-functional account teams with a comprehensive strategy across paid, owned and earned channels to meet or exceed client business objectives; Demonstrates proficiency in cross-channel media planning and testing roadmaps, including the connection of a client’s product, audience and media
• Client Performance & Results: Ensures that at least 75% of their client roster is hitting their goals/forecast targets within the partnership.
• Data-driven Insights: Leverages data and analytics, such as first-party data tools like Google Analytics and Looker Studio, to identify strategic opportunities; Translates learnings into clear and concise reporting with actionable next steps
• Measurement Frameworks: Uses overlapping datasets to find the truth and make better marketing decisions; Prioritizes business metrics to guide strategy and budgets; Leverages platform or attribution metrics to inform tactical daily optimizations; Uses incrementality to validate when needed
• Team Coaching and Development: Leads by example and practices servant leadership; Delivers timely, specific feedback to team members to up-level business acumen and connect the marketing objectives to business objectives
• Existing Account Manager Support: Shadows and provides coaching and feedback to new hires within the first 90 days and/or existing Account Managers to ensure high product quality and assist in coaching any skill gaps
• Client Portfolio: Manages a diverse set of clients totaling with specific target monthly recurring revenue
• Client Retention: Leads the contract renewal strategy by following the established client renewal process and timelines.  Takes a proactive approach to the process, beginning at least 90 days in advance of the contract expiration date by preparing the  presentation and proposal development alongside the Account Manager to extend client partnerships.  Reviews and analyzes client contracts on a regular basis to ensure goals are on target
• Service Expansions: Works with the Account Manager and the internal account team to identify additional strategies to improve performance and expand client partnerships. 
• Own the strategic coaching and development of Account Managers and Resource Team leads, ensuring teams can independently connect channel execution to client business outcomes and confidently lead client conversations
• Elevate client-facing excellence across accounts, coaching teams on storytelling, executive presence, and emotional intelligence to deliver clear, polished recommendations
• Scale team capability and consistency, developing AMs as strategic leaders, reinforcing shared expectations across accounts, and balancing client demands with team capacity to drive sustainable performance.
• Department Operations: Plays an active role in supporting key department initiatives such as recruitment, staffing, training, onboarding and more
• Specialty Focus Area: Identifies a focus area within the department that aligns with the individual’s skill set; Creates a roadmap alongside the Account Manager to enhance and optimize that focus area (e.g., Training, Reporting, Talent Acquisition)
• Responsible for other tasks and projects as assigned by Client Services department leadership, as needed
• Employ AI technologies to enhance and optimize business processes

Role Requirements:

• Bachelor's Degree in Marketing, Communication or related discipline
• 10+ years cross-channel digital marketing experience, including: strategic planning, consumer insights, digital integration and client services, ideally in a digital or media agency
• Proven track record of delivering high customer satisfaction scores through NPS or similar retention metrics
• Strong understanding of paid media, particularly Google Ads and Meta Ads
• Working knowledge of SEO, Analytics, and Creative workflows and deliverables
• Experience speaking to business-level metrics such as LTV:CAC, ROAS, etc.
• Proficiency in establishing goals for clients and validating forecast scenarios to show a path to goal
• Campaign leadership skills for end-to-end campaign development including strategy, segmentation, targeting, etc. in a multi-channel environment
• Ability to quickly build rapport and develop relationships with executive-level points of contact
• Desire to work in a role that functions as both a marketing consultant and a business consultant for clients
• Highly dependable individual who thrives in a fast-paced environment and is a self-starter; Emanates high energy and a positive attitude
• Entrepreneurial spirit with a passion for problem-solving, continued learning and personal growth

Key Performance Indicators (KPIs)

• Division ETCR or Expansion to Churn Ratio (as established quarterly)
• Division Team Retention Rate of 90%+
• Client Retention Rate of Book of 96%+
• Deliverable timeliness: 95% on time delivery
• NPS for Account Director Portfolio (8 or above)
• MRR: $100k+ monthly revenue

Most Important Things (MITs)

• Team Coaching and Development
• Marketing Strategy, Development and Execution
• Client Retention and Client Revenue Growth

Benefits & Perks:

• Base salary paid in USD + commission opportunities
• Unlimited Time Off available on day one
• Fully flex work environment: full-remote, in-office, or hybrid
• Healthcare stipend: $50/month to support your healthcare or insurance costs
• National Holidays + 2 Mental Health Recharge Days per year
• Unlimited opportunities for growth & leadership within a rapidly growing firm
• Ongoing employee development programs for personal and professional growth (Hedgehog and Vital 5s)
• Quarterly awards including prize money and recognition for outstanding performance
• Opportunities to be involved in company DEI initiatives

About the Role:

We are looking for a Business Analyst to join our Shipping Operations team and support IPSY’s monthly subscription execution and logistics functions. In this role, you will complete analyses to plan, review, and improve our monthly subscription distribution. You will also work with internal and external partners to enhance our member’s experience, help drive fulfillment strategy execution across our facilities and further develop internal review and reporting processes. This is a highly visible and collaborative role, where you’ll work closely with our warehouse and distribution partners as well as internal teams, such as Product, Marketing, and Operations.

This position reports to the Director of Shipping & International Operations and is a remote role based in Argentina.

What You’ll Be Doing:

• Build, maintain, and communicate detailed reporting and forecasting models to improve our monthly subscriptions distribution programs
• Coordinate with IPSY’s warehouses and distribution partners to ensure service-level consistency across different programs
• Develop and implement processes to support scalability
• Identify operational weaknesses and drive innovation
• Support ad-hoc analyses to drive strategic decisions within Operations
• Coordinate with other cross-functional teams to drive IPSY's business agenda

What We Are Looking For:

• Bachelor’s degree in Business, Computer Science, Mathematics, Economics, or other quantitative field
• 1-3+ years of professional experience performing analysis (ideally at an e-commerce, subscription, retail, or transportation company)
• Excellent SQL and data warehouse skills, and experience writing complex queries on large data sets
• Expertise with Microsoft Excel, Google Sheets, and data visualization and dashboard tools such as Tableau, Looker, or equivalent.
• Excellent attention to detail, problem solving, critical thinking, project management, and communication skills
• Experience creating and optimizing business and operational processes
• Ability to manage time effectively, set priorities, and meet deadlines
• Thrives collaborating on a team and with other stakeholders
• Flexible demeanor and ability to work in a fast-paced, entrepreneurial environment

Bonus if You Have:

• Preference given to candidates with supply chain or distribution experience
• Interest in beauty or subscription box industries

What We Offer:

• Competitive salary (USD)
• Paid time off & work from home flexibility
• Learning & development programs
  
  

LATAM Remote: Remote positions which may be performed in any of the countries where IPSY has established a Business presence: Argentina. (Only Argentina based applicants will be considered at this time)
IPSY is based in the U.S. and we partner with the local agency, Nexton, that assists us with employee recruiting and payroll. 

Please submit CV/Resume in English. 

If you need reasonable accommodation in the application or employment process, please contact us.

IPSY is based in the US and to ensure compliance with country specific employment laws we partner with the local agency, Nexton, that assists us with employee recruiting and payroll. Any personal information that you share with us is subject to our IPSY Policy.

#LI-SB 

#LI-Remote 

Let’s start with the role

In one sentence, this role is responsible for all campaigns and initiatives aimed at new user acquisition, as well as for the strategic management of the budget. The position requires a candidate to thoroughly oversee all work executed by the Performance Marketing team based in Greece. The ideal candidate should possess an end-to-end understanding of the user journey, from the initial digital campaign touchpoint through to successful conversion on Betano.bet.ar.

As a Digital Marketing Manager, you will:

• Be fluent in 'performance language' and demonstrate a deep understanding of the mechanics of each platform (Instagram, Facebook, TikTok, X, etc.). 
• Analyze and optimize fluctuations within the acquisition funnel. 
• Be responsible for the maintenance and expansion of Google PPC, Display, Social Media, Programmatic and SEM campaigns across major search engines and countries of operation. This includes account audits, keyword/ad optimization and mining, ad copy creation, device optimization and audience bidding.
• Implement and track conversion events accurately via pixels and Conversion APIs.
• Monitoring and implementation of creative best practices across all performance marketing channels.
• Collaborate with the local team to plan new user offers and coordinate with the Greek creative teams on asset development and data sharing to drive campaign success.

What you’ll bring:

• Minimum of 5 years of relevant professional experience. 
• A degree in Business Administration, Economics, Engineering Marketing or a related field.
• Advanced experience with Google Analytics 4 (GA4) and Google Tag Manager (GTM).
• Proficiency in data visualization tools such as Looker Studio, Tableau, or Power BI.
• Fluency in English is a must; while native proficiency is not required, the ability to communicate effectively and confidently with the team in Greece is essential. 
• Industry experience is not mandatory; however, it is critical that the candidate brings several years of experience in performance marketing, digital campaigns, user acquisition, and attribution models within B2C environments.
• Effective and creative problem-solving and decision-making skills.

Kaizen Gaming Perks

• 🕑 Hybrid way of working;
• 🏃 A buddy will support you with your onboarding;
• 💸 Competitive pay & bonus scheme;
• ⭐Developmental 360° feedback framework;
• 💰 Monthly meal allowance;
• 👩‍⚕️ Private health insurance for you and your family;
• 📚 Unlimited access to Udemy & continuous training;
• 👨‍👩‍👧‍👦 Family Support.
• #LI-Hybrid

MUST HAVE:

• 5+ years of experience in data engineering within fast-paced, cloud-native environments
• Deep expertise in Python, SQL, Docker, and AWS (S3, Glue, Kinesis, Athena/Presto)
• Experience building and managing scalable ETL pipelines and data lake infrastructure
• Familiarity with distributed systems, Spark, and data quality best practices
• Strong cross-functional collaboration skills to support BI, analytics, and engineering teams

EXPERIENCE: 5+ years of data engineering experience in an AWS-based environment where data powers decision-making across product, marketing, and operations.

YOUR ROLE

Lead scalable data engineering efforts that empower cross-functional teams with reliable, timely, and actionable data, ensuring Launch Potato’s analytics and business intelligence infrastructure fuels strategic growth.

OUTCOMES

• Build and optimize scalable, efficient ETL and data lake processes that proactively catch issues before they impact the business
• Own the ingestion, modeling, and transformation of structured and unstructured data to support reporting and analysis across all business units
• Partner closely with BI and Analytics to deliver clean, query-ready datasets that improve user acquisition, engagement, and revenue growth
• Maintain and enhance database monitoring, anomaly detection, and quality assurance workflows
• Serve as the internal point of contact for reporting infrastructure—delivering ad hoc data analyses and driving consistent data integrity
• Drive adoption and advancement of Looker dashboards by ensuring robust and scalable backend data support
• Contribute to the future of Launch Potato’s data team by mentoring peers and shaping a high-performance, quality-first engineering culture

COMPETENCIES

• Data Engineering Mastery: Demonstrates technical excellence in building data pipelines, troubleshooting distributed systems, and scaling infrastructure using AWS and open-source tools
• Cross-Functional Collaboration: Communicates clearly across technical and non-technical teams, translating business needs into robust data solutions
• Proactive Ownership: Operates with a strong sense of accountability; identifies and solves data issues independently and efficiently
• Quality-Driven Execution: Holds a high bar for data accuracy, auditability, and documentation throughout all systems and workflows
• Strategic Thinking: Anticipates how data infrastructure impacts wider company OKRs and proactively suggests improvements and innovations
• Growth Mindset: Seeks out opportunities to elevate team capabilities, mentor others, and stay ahead of evolving best practices in data engineering

MUST HAVE:

• 5+ years of experience in data engineering within fast-paced, cloud-native environments
• Deep expertise in Python, SQL, Docker, and AWS (S3, Glue, Kinesis, Athena/Presto)
• Experience building and managing scalable ETL pipelines and data lake infrastructure
• Familiarity with distributed systems, Spark, and data quality best practices
• Strong cross-functional collaboration skills to support BI, analytics, and engineering teams

EXPERIENCE: 5+ years of data engineering experience in an AWS-based environment where data powers decision-making across product, marketing, and operations.

YOUR ROLE

Lead scalable data engineering efforts that empower cross-functional teams with reliable, timely, and actionable data, ensuring Launch Potato’s analytics and business intelligence infrastructure fuels strategic growth.

OUTCOMES

• Build and optimize scalable, efficient ETL and data lake processes that proactively catch issues before they impact the business
• Own the ingestion, modeling, and transformation of structured and unstructured data to support reporting and analysis across all business units
• Partner closely with BI and Analytics to deliver clean, query-ready datasets that improve user acquisition, engagement, and revenue growth
• Maintain and enhance database monitoring, anomaly detection, and quality assurance workflows
• Serve as the internal point of contact for reporting infrastructure—delivering ad hoc data analyses and driving consistent data integrity
• Drive adoption and advancement of Looker dashboards by ensuring robust and scalable backend data support
• Contribute to the future of Launch Potato’s data team by mentoring peers and shaping a high-performance, quality-first engineering culture

COMPETENCIES

• Data Engineering Mastery: Demonstrates technical excellence in building data pipelines, troubleshooting distributed systems, and scaling infrastructure using AWS and open-source tools
• Cross-Functional Collaboration: Communicates clearly across technical and non-technical teams, translating business needs into robust data solutions
• Proactive Ownership: Operates with a strong sense of accountability; identifies and solves data issues independently and efficiently
• Quality-Driven Execution: Holds a high bar for data accuracy, auditability, and documentation throughout all systems and workflows
• Strategic Thinking: Anticipates how data infrastructure impacts wider company OKRs and proactively suggests improvements and innovations
• Growth Mindset: Seeks out opportunities to elevate team capabilities, mentor others, and stay ahead of evolving best practices in data engineering

MUST HAVE:

• 5+ years of experience in data engineering within fast-paced, cloud-native environments
• Deep expertise in Python, SQL, Docker, and AWS (S3, Glue, Kinesis, Athena/Presto)
• Experience building and managing scalable ETL pipelines and data lake infrastructure
• Familiarity with distributed systems, Spark, and data quality best practices
• Strong cross-functional collaboration skills to support BI, analytics, and engineering teams

EXPERIENCE: 5+ years of data engineering experience in an AWS-based environment where data powers decision-making across product, marketing, and operations.

YOUR ROLE

Lead scalable data engineering efforts that empower cross-functional teams with reliable, timely, and actionable data, ensuring Launch Potato’s analytics and business intelligence infrastructure fuels strategic growth.

OUTCOMES

• Build and optimize scalable, efficient ETL and data lake processes that proactively catch issues before they impact the business
• Own the ingestion, modeling, and transformation of structured and unstructured data to support reporting and analysis across all business units
• Partner closely with BI and Analytics to deliver clean, query-ready datasets that improve user acquisition, engagement, and revenue growth
• Maintain and enhance database monitoring, anomaly detection, and quality assurance workflows
• Serve as the internal point of contact for reporting infrastructure—delivering ad hoc data analyses and driving consistent data integrity
• Drive adoption and advancement of Looker dashboards by ensuring robust and scalable backend data support
• Contribute to the future of Launch Potato’s data team by mentoring peers and shaping a high-performance, quality-first engineering culture

COMPETENCIES

• Data Engineering Mastery: Demonstrates technical excellence in building data pipelines, troubleshooting distributed systems, and scaling infrastructure using AWS and open-source tools
• Cross-Functional Collaboration: Communicates clearly across technical and non-technical teams, translating business needs into robust data solutions
• Proactive Ownership: Operates with a strong sense of accountability; identifies and solves data issues independently and efficiently
• Quality-Driven Execution: Holds a high bar for data accuracy, auditability, and documentation throughout all systems and workflows
• Strategic Thinking: Anticipates how data infrastructure impacts wider company OKRs and proactively suggests improvements and innovations
• Growth Mindset: Seeks out opportunities to elevate team capabilities, mentor others, and stay ahead of evolving best practices in data engineering

MUST HAVE:

• 5+ years of experience in data engineering within fast-paced, cloud-native environments
• Deep expertise in Python, SQL, Docker, and AWS (S3, Glue, Kinesis, Athena/Presto)
• Experience building and managing scalable ETL pipelines and data lake infrastructure
• Familiarity with distributed systems, Spark, and data quality best practices
• Strong cross-functional collaboration skills to support BI, analytics, and engineering teams

EXPERIENCE: 5+ years of data engineering experience in an AWS-based environment where data powers decision-making across product, marketing, and operations.

YOUR ROLE

Lead scalable data engineering efforts that empower cross-functional teams with reliable, timely, and actionable data, ensuring Launch Potato’s analytics and business intelligence infrastructure fuels strategic growth.

OUTCOMES

• Build and optimize scalable, efficient ETL and data lake processes that proactively catch issues before they impact the business
• Own the ingestion, modeling, and transformation of structured and unstructured data to support reporting and analysis across all business units
• Partner closely with BI and Analytics to deliver clean, query-ready datasets that improve user acquisition, engagement, and revenue growth
• Maintain and enhance database monitoring, anomaly detection, and quality assurance workflows
• Serve as the internal point of contact for reporting infrastructure—delivering ad hoc data analyses and driving consistent data integrity
• Drive adoption and advancement of Looker dashboards by ensuring robust and scalable backend data support
• Contribute to the future of Launch Potato’s data team by mentoring peers and shaping a high-performance, quality-first engineering culture

COMPETENCIES

• Data Engineering Mastery: Demonstrates technical excellence in building data pipelines, troubleshooting distributed systems, and scaling infrastructure using AWS and open-source tools
• Cross-Functional Collaboration: Communicates clearly across technical and non-technical teams, translating business needs into robust data solutions
• Proactive Ownership: Operates with a strong sense of accountability; identifies and solves data issues independently and efficiently
• Quality-Driven Execution: Holds a high bar for data accuracy, auditability, and documentation throughout all systems and workflows
• Strategic Thinking: Anticipates how data infrastructure impacts wider company OKRs and proactively suggests improvements and innovations
• Growth Mindset: Seeks out opportunities to elevate team capabilities, mentor others, and stay ahead of evolving best practices in data engineering

MUST HAVE:

• 5+ years of experience in data engineering within fast-paced, cloud-native environments
• Deep expertise in Python, SQL, Docker, and AWS (S3, Glue, Kinesis, Athena/Presto)
• Experience building and managing scalable ETL pipelines and data lake infrastructure
• Familiarity with distributed systems, Spark, and data quality best practices
• Strong cross-functional collaboration skills to support BI, analytics, and engineering teams

EXPERIENCE: 5+ years of data engineering experience in an AWS-based environment where data powers decision-making across product, marketing, and operations.

YOUR ROLE

Lead scalable data engineering efforts that empower cross-functional teams with reliable, timely, and actionable data, ensuring Launch Potato’s analytics and business intelligence infrastructure fuels strategic growth.

OUTCOMES

• Build and optimize scalable, efficient ETL and data lake processes that proactively catch issues before they impact the business
• Own the ingestion, modeling, and transformation of structured and unstructured data to support reporting and analysis across all business units
• Partner closely with BI and Analytics to deliver clean, query-ready datasets that improve user acquisition, engagement, and revenue growth
• Maintain and enhance database monitoring, anomaly detection, and quality assurance workflows
• Serve as the internal point of contact for reporting infrastructure—delivering ad hoc data analyses and driving consistent data integrity
• Drive adoption and advancement of Looker dashboards by ensuring robust and scalable backend data support
• Contribute to the future of Launch Potato’s data team by mentoring peers and shaping a high-performance, quality-first engineering culture

COMPETENCIES

• Data Engineering Mastery: Demonstrates technical excellence in building data pipelines, troubleshooting distributed systems, and scaling infrastructure using AWS and open-source tools
• Cross-Functional Collaboration: Communicates clearly across technical and non-technical teams, translating business needs into robust data solutions
• Proactive Ownership: Operates with a strong sense of accountability; identifies and solves data issues independently and efficiently
• Quality-Driven Execution: Holds a high bar for data accuracy, auditability, and documentation throughout all systems and workflows
• Strategic Thinking: Anticipates how data infrastructure impacts wider company OKRs and proactively suggests improvements and innovations
• Growth Mindset: Seeks out opportunities to elevate team capabilities, mentor others, and stay ahead of evolving best practices in data engineering

MUST HAVE:

• 5+ years of experience in data engineering within fast-paced, cloud-native environments
• Deep expertise in Python, SQL, Docker, and AWS (S3, Glue, Kinesis, Athena/Presto)
• Experience building and managing scalable ETL pipelines and data lake infrastructure
• Familiarity with distributed systems, Spark, and data quality best practices
• Strong cross-functional collaboration skills to support BI, analytics, and engineering teams

EXPERIENCE: 5+ years of data engineering experience in an AWS-based environment where data powers decision-making across product, marketing, and operations.

YOUR ROLE

Lead scalable data engineering efforts that empower cross-functional teams with reliable, timely, and actionable data, ensuring Launch Potato’s analytics and business intelligence infrastructure fuels strategic growth.

OUTCOMES

• Build and optimize scalable, efficient ETL and data lake processes that proactively catch issues before they impact the business
• Own the ingestion, modeling, and transformation of structured and unstructured data to support reporting and analysis across all business units
• Partner closely with BI and Analytics to deliver clean, query-ready datasets that improve user acquisition, engagement, and revenue growth
• Maintain and enhance database monitoring, anomaly detection, and quality assurance workflows
• Serve as the internal point of contact for reporting infrastructure—delivering ad hoc data analyses and driving consistent data integrity
• Drive adoption and advancement of Looker dashboards by ensuring robust and scalable backend data support
• Contribute to the future of Launch Potato’s data team by mentoring peers and shaping a high-performance, quality-first engineering culture

COMPETENCIES

• Data Engineering Mastery: Demonstrates technical excellence in building data pipelines, troubleshooting distributed systems, and scaling infrastructure using AWS and open-source tools
• Cross-Functional Collaboration: Communicates clearly across technical and non-technical teams, translating business needs into robust data solutions
• Proactive Ownership: Operates with a strong sense of accountability; identifies and solves data issues independently and efficiently
• Quality-Driven Execution: Holds a high bar for data accuracy, auditability, and documentation throughout all systems and workflows
• Strategic Thinking: Anticipates how data infrastructure impacts wider company OKRs and proactively suggests improvements and innovations
• Growth Mindset: Seeks out opportunities to elevate team capabilities, mentor others, and stay ahead of evolving best practices in data engineering

MUST HAVE:

• 5+ years of experience in data engineering within fast-paced, cloud-native environments
• Deep expertise in Python, SQL, Docker, and AWS (S3, Glue, Kinesis, Athena/Presto)
• Experience building and managing scalable ETL pipelines and data lake infrastructure
• Familiarity with distributed systems, Spark, and data quality best practices
• Strong cross-functional collaboration skills to support BI, analytics, and engineering teams

EXPERIENCE: 5+ years of data engineering experience in an AWS-based environment where data powers decision-making across product, marketing, and operations.

YOUR ROLE

Lead scalable data engineering efforts that empower cross-functional teams with reliable, timely, and actionable data, ensuring Launch Potato’s analytics and business intelligence infrastructure fuels strategic growth.

OUTCOMES

• Build and optimize scalable, efficient ETL and data lake processes that proactively catch issues before they impact the business
• Own the ingestion, modeling, and transformation of structured and unstructured data to support reporting and analysis across all business units
• Partner closely with BI and Analytics to deliver clean, query-ready datasets that improve user acquisition, engagement, and revenue growth
• Maintain and enhance database monitoring, anomaly detection, and quality assurance workflows
• Serve as the internal point of contact for reporting infrastructure—delivering ad hoc data analyses and driving consistent data integrity
• Drive adoption and advancement of Looker dashboards by ensuring robust and scalable backend data support
• Contribute to the future of Launch Potato’s data team by mentoring peers and shaping a high-performance, quality-first engineering culture

COMPETENCIES

• Data Engineering Mastery: Demonstrates technical excellence in building data pipelines, troubleshooting distributed systems, and scaling infrastructure using AWS and open-source tools
• Cross-Functional Collaboration: Communicates clearly across technical and non-technical teams, translating business needs into robust data solutions
• Proactive Ownership: Operates with a strong sense of accountability; identifies and solves data issues independently and efficiently
• Quality-Driven Execution: Holds a high bar for data accuracy, auditability, and documentation throughout all systems and workflows
• Strategic Thinking: Anticipates how data infrastructure impacts wider company OKRs and proactively suggests improvements and innovations
• Growth Mindset: Seeks out opportunities to elevate team capabilities, mentor others, and stay ahead of evolving best practices in data engineering

MUST HAVE:

• 5+ years of experience in data engineering within fast-paced, cloud-native environments
• Deep expertise in Python, SQL, Docker, and AWS (S3, Glue, Kinesis, Athena/Presto)
• Experience building and managing scalable ETL pipelines and data lake infrastructure
• Familiarity with distributed systems, Spark, and data quality best practices
• Strong cross-functional collaboration skills to support BI, analytics, and engineering teams

EXPERIENCE: 5+ years of data engineering experience in an AWS-based environment where data powers decision-making across product, marketing, and operations.

YOUR ROLE

Lead scalable data engineering efforts that empower cross-functional teams with reliable, timely, and actionable data, ensuring Launch Potato’s analytics and business intelligence infrastructure fuels strategic growth.

OUTCOMES

• Build and optimize scalable, efficient ETL and data lake processes that proactively catch issues before they impact the business
• Own the ingestion, modeling, and transformation of structured and unstructured data to support reporting and analysis across all business units
• Partner closely with BI and Analytics to deliver clean, query-ready datasets that improve user acquisition, engagement, and revenue growth
• Maintain and enhance database monitoring, anomaly detection, and quality assurance workflows
• Serve as the internal point of contact for reporting infrastructure—delivering ad hoc data analyses and driving consistent data integrity
• Drive adoption and advancement of Looker dashboards by ensuring robust and scalable backend data support
• Contribute to the future of Launch Potato’s data team by mentoring peers and shaping a high-performance, quality-first engineering culture

COMPETENCIES

• Data Engineering Mastery: Demonstrates technical excellence in building data pipelines, troubleshooting distributed systems, and scaling infrastructure using AWS and open-source tools
• Cross-Functional Collaboration: Communicates clearly across technical and non-technical teams, translating business needs into robust data solutions
• Proactive Ownership: Operates with a strong sense of accountability; identifies and solves data issues independently and efficiently
• Quality-Driven Execution: Holds a high bar for data accuracy, auditability, and documentation throughout all systems and workflows
• Strategic Thinking: Anticipates how data infrastructure impacts wider company OKRs and proactively suggests improvements and innovations
• Growth Mindset: Seeks out opportunities to elevate team capabilities, mentor others, and stay ahead of evolving best practices in data engineering

MUST HAVE:

• 5+ years of experience in data engineering within fast-paced, cloud-native environments
• Deep expertise in Python, SQL, Docker, and AWS (S3, Glue, Kinesis, Athena/Presto)
• Experience building and managing scalable ETL pipelines and data lake infrastructure
• Familiarity with distributed systems, Spark, and data quality best practices
• Strong cross-functional collaboration skills to support BI, analytics, and engineering teams

EXPERIENCE: 5+ years of data engineering experience in an AWS-based environment where data powers decision-making across product, marketing, and operations.

YOUR ROLE

Lead scalable data engineering efforts that empower cross-functional teams with reliable, timely, and actionable data, ensuring Launch Potato’s analytics and business intelligence infrastructure fuels strategic growth.

OUTCOMES

• Build and optimize scalable, efficient ETL and data lake processes that proactively catch issues before they impact the business
• Own the ingestion, modeling, and transformation of structured and unstructured data to support reporting and analysis across all business units
• Partner closely with BI and Analytics to deliver clean, query-ready datasets that improve user acquisition, engagement, and revenue growth
• Maintain and enhance database monitoring, anomaly detection, and quality assurance workflows
• Serve as the internal point of contact for reporting infrastructure—delivering ad hoc data analyses and driving consistent data integrity
• Drive adoption and advancement of Looker dashboards by ensuring robust and scalable backend data support
• Contribute to the future of Launch Potato’s data team by mentoring peers and shaping a high-performance, quality-first engineering culture

COMPETENCIES

• Data Engineering Mastery: Demonstrates technical excellence in building data pipelines, troubleshooting distributed systems, and scaling infrastructure using AWS and open-source tools
• Cross-Functional Collaboration: Communicates clearly across technical and non-technical teams, translating business needs into robust data solutions
• Proactive Ownership: Operates with a strong sense of accountability; identifies and solves data issues independently and efficiently
• Quality-Driven Execution: Holds a high bar for data accuracy, auditability, and documentation throughout all systems and workflows
• Strategic Thinking: Anticipates how data infrastructure impacts wider company OKRs and proactively suggests improvements and innovations
• Growth Mindset: Seeks out opportunities to elevate team capabilities, mentor others, and stay ahead of evolving best practices in data engineering

MUST HAVE:

• 5+ years of experience in data engineering within fast-paced, cloud-native environments
• Deep expertise in Python, SQL, Docker, and AWS (S3, Glue, Kinesis, Athena/Presto)
• Experience building and managing scalable ETL pipelines and data lake infrastructure
• Familiarity with distributed systems, Spark, and data quality best practices
• Strong cross-functional collaboration skills to support BI, analytics, and engineering teams

EXPERIENCE: 5+ years of data engineering experience in an AWS-based environment where data powers decision-making across product, marketing, and operations.

YOUR ROLE

Lead scalable data engineering efforts that empower cross-functional teams with reliable, timely, and actionable data, ensuring Launch Potato’s analytics and business intelligence infrastructure fuels strategic growth.

OUTCOMES

• Build and optimize scalable, efficient ETL and data lake processes that proactively catch issues before they impact the business
• Own the ingestion, modeling, and transformation of structured and unstructured data to support reporting and analysis across all business units
• Partner closely with BI and Analytics to deliver clean, query-ready datasets that improve user acquisition, engagement, and revenue growth
• Maintain and enhance database monitoring, anomaly detection, and quality assurance workflows
• Serve as the internal point of contact for reporting infrastructure—delivering ad hoc data analyses and driving consistent data integrity
• Drive adoption and advancement of Looker dashboards by ensuring robust and scalable backend data support
• Contribute to the future of Launch Potato’s data team by mentoring peers and shaping a high-performance, quality-first engineering culture

COMPETENCIES

• Data Engineering Mastery: Demonstrates technical excellence in building data pipelines, troubleshooting distributed systems, and scaling infrastructure using AWS and open-source tools
• Cross-Functional Collaboration: Communicates clearly across technical and non-technical teams, translating business needs into robust data solutions
• Proactive Ownership: Operates with a strong sense of accountability; identifies and solves data issues independently and efficiently
• Quality-Driven Execution: Holds a high bar for data accuracy, auditability, and documentation throughout all systems and workflows
• Strategic Thinking: Anticipates how data infrastructure impacts wider company OKRs and proactively suggests improvements and innovations
• Growth Mindset: Seeks out opportunities to elevate team capabilities, mentor others, and stay ahead of evolving best practices in data engineering

MUST HAVE:

• 5+ years of experience in data engineering within fast-paced, cloud-native environments
• Deep expertise in Python, SQL, Docker, and AWS (S3, Glue, Kinesis, Athena/Presto)
• Experience building and managing scalable ETL pipelines and data lake infrastructure
• Familiarity with distributed systems, Spark, and data quality best practices
• Strong cross-functional collaboration skills to support BI, analytics, and engineering teams

EXPERIENCE: 5+ years of data engineering experience in an AWS-based environment where data powers decision-making across product, marketing, and operations.

YOUR ROLE

Lead scalable data engineering efforts that empower cross-functional teams with reliable, timely, and actionable data, ensuring Launch Potato’s analytics and business intelligence infrastructure fuels strategic growth.

OUTCOMES

• Build and optimize scalable, efficient ETL and data lake processes that proactively catch issues before they impact the business
• Own the ingestion, modeling, and transformation of structured and unstructured data to support reporting and analysis across all business units
• Partner closely with BI and Analytics to deliver clean, query-ready datasets that improve user acquisition, engagement, and revenue growth
• Maintain and enhance database monitoring, anomaly detection, and quality assurance workflows
• Serve as the internal point of contact for reporting infrastructure—delivering ad hoc data analyses and driving consistent data integrity
• Drive adoption and advancement of Looker dashboards by ensuring robust and scalable backend data support
• Contribute to the future of Launch Potato’s data team by mentoring peers and shaping a high-performance, quality-first engineering culture

COMPETENCIES

• Data Engineering Mastery: Demonstrates technical excellence in building data pipelines, troubleshooting distributed systems, and scaling infrastructure using AWS and open-source tools
• Cross-Functional Collaboration: Communicates clearly across technical and non-technical teams, translating business needs into robust data solutions
• Proactive Ownership: Operates with a strong sense of accountability; identifies and solves data issues independently and efficiently
• Quality-Driven Execution: Holds a high bar for data accuracy, auditability, and documentation throughout all systems and workflows
• Strategic Thinking: Anticipates how data infrastructure impacts wider company OKRs and proactively suggests improvements and innovations
• Growth Mindset: Seeks out opportunities to elevate team capabilities, mentor others, and stay ahead of evolving best practices in data engineering

MUST HAVE:

• 5+ years of experience in data engineering within fast-paced, cloud-native environments
• Deep expertise in Python, SQL, Docker, and AWS (S3, Glue, Kinesis, Athena/Presto)
• Experience building and managing scalable ETL pipelines and data lake infrastructure
• Familiarity with distributed systems, Spark, and data quality best practices
• Strong cross-functional collaboration skills to support BI, analytics, and engineering teams

EXPERIENCE: 5+ years of data engineering experience in an AWS-based environment where data powers decision-making across product, marketing, and operations.

YOUR ROLE

Lead scalable data engineering efforts that empower cross-functional teams with reliable, timely, and actionable data, ensuring Launch Potato’s analytics and business intelligence infrastructure fuels strategic growth.

OUTCOMES

• Build and optimize scalable, efficient ETL and data lake processes that proactively catch issues before they impact the business
• Own the ingestion, modeling, and transformation of structured and unstructured data to support reporting and analysis across all business units
• Partner closely with BI and Analytics to deliver clean, query-ready datasets that improve user acquisition, engagement, and revenue growth
• Maintain and enhance database monitoring, anomaly detection, and quality assurance workflows
• Serve as the internal point of contact for reporting infrastructure—delivering ad hoc data analyses and driving consistent data integrity
• Drive adoption and advancement of Looker dashboards by ensuring robust and scalable backend data support
• Contribute to the future of Launch Potato’s data team by mentoring peers and shaping a high-performance, quality-first engineering culture

COMPETENCIES

• Data Engineering Mastery: Demonstrates technical excellence in building data pipelines, troubleshooting distributed systems, and scaling infrastructure using AWS and open-source tools
• Cross-Functional Collaboration: Communicates clearly across technical and non-technical teams, translating business needs into robust data solutions
• Proactive Ownership: Operates with a strong sense of accountability; identifies and solves data issues independently and efficiently
• Quality-Driven Execution: Holds a high bar for data accuracy, auditability, and documentation throughout all systems and workflows
• Strategic Thinking: Anticipates how data infrastructure impacts wider company OKRs and proactively suggests improvements and innovations
• Growth Mindset: Seeks out opportunities to elevate team capabilities, mentor others, and stay ahead of evolving best practices in data engineering

The role

Benefits

product initiatives where leverage is highest.

This is a high-ownership role with real business responsibility, not a feature factory position.

What you’ll own

Smart Fridges (Primary)

• Own the end-to-end product strategy and execution for Smart Fridges (hardware, software, ops, and UX).
  
  
• Define and prioritize the roadmap across:
• Fridge software
• Hardware & IoT flows
• Computer vision, inventory, and ordering logic
• Operational workflows (installations, refills, failures, edge cases)
  
  
• Partner closely with engineering, design, ops, data, and clients.
• Drive outcomes across conversion, retention, reliability, and unit economics.
• Be accountable for shipping, learning, and iterating fast in a real-world, non-perfect environment.

Partnerships & Integrations

• Lead product ownership of strategic integrations (external partners, platforms, APIs).
• Translate partnership agreements into clear product requirements and technical scopes.
• Work with internal teams and external partners to ensure:
• Clean integrations
• Scalable flows
• Clear ownership and SLAs
• Identify opportunities to turn integrations into growth or retention levers, not just technical connections.

Cross-cutting / General Product Support

• Help bring structure to ambiguous or fast-moving initiatives.
• Act as a force multiplier for the product org: unblock, simplify, and push things forward.

What success looks like

• Smart Fridges has a clear backlog, fewer fires, and measurable improvements in key metrics.
• Integrations ship faster, with less ambiguity and fewer surprises.
• External partners feel aligned and confident working with us.
• Teams have clarity on what we’re building, why, and what success means.
• Leadership trusts you with increasingly complex and strategic problem spaces.

What we’re looking for

Must-haves

• 4+ years of experience as a Product Manager.
• Proven experience owning complex systems (multi-team, multi-stakeholder).
• Strong ability to operate in ambiguity and bring structure.
• Excellent written and verbal communication.
• Comfortable working across engineering, design, ops, and external partners.
• Business-minded: you care about outcomes, not just shipping features.

Strong plus

• Passion for the healthcare and food-is-medicine industry.
• Experience with hardware, IoT, marketplaces, or logistics-heavy products.
• Experience with integrations, APIs, or platform products.
• Experience working with partnerships or external vendors.
• Startup or high-growth environment experience.

Why is this role interesting?

• You’ll work on a rare mix of hardware + software + ops + partnerships.
• You’ll have direct exposure to leadership and real influence on product direction.
• You’ll help scale products that exist in the physical world, with real constraints and real impact.
• This role can grow significantly as the product surface area expands.

Benefits

💸 Get paid in USD

🗺 Work remotely: design the life that you want

⛱ Enjoy 15 days of vacation each year from the start date

🎄 16 fully paid Argentinean holidays

🩺 Healthcare Benefit: Monthly stipend to use in your preferred healthcare provider

🗓️ 5- year Sabbatical: After 5 years with CookUnity, you get a 4-week paid sabbatical

🐣 Paid Family leave

🕯 Compassionate Leave: 3-5 days each time the need arises

🧘🏽‍♀️ Flexible benefits, your way: a prepaid card you can use on wellness, learning, food, and more.

🤖 AI-forward workplace: enterprise access to ChatGPT and Claude to help you work smarter and grow faster.

🧑‍🏫 Personalized English coach

Why Valtech? We’re the experience innovation company - a trusted partner to the world’s most recognized brands. To our people we offer growth opportunities, a values-driven culture, international careers and the chance to shape the future of experience. 

The opportunity

At Valtech, you’ll find an environment designed for continuous learning, meaningful impact, and professional growth. Whether you're pioneering new digital solutions, challenging conventional thinking or building the next generation of customer experiences, your work will help transform industries. 

We are proud of: 

• The work we do and the innovation we drive 
• Our values of share, care and dare 
• A workplace culture that fosters creativity, diversity and autonomy 
• Our borderless, global framework, which enables seamless collaboration 

The role  

he Sr Data Analyst is a mid-level practitioner role within Analytics, Intelligence, & Optimization. This role is responsible for leading substantial portions of reporting, dashboarding, and performance analysis workstreams that help teams understand business performance, identify opportunities, and support decision-making. The Sr Data Analyst works independently across recurring and ad hoc analytics needs, translates business questions into analytical approaches, and delivers clear, actionable insights to internal and client stakeholders. At this level, the role is expected to demonstrate strong analytical judgment, reliable execution, and growing leadership in how reporting logic, metric consistency, and insight generation are applied across engagements. 

Role responsibilities

• Lead the development, enhancement, and ongoing management of dashboards, reporting solutions, and recurring performance analysis. 
• Translate business questions into structured analytical approaches, reporting requirements, data needs, and output designs with limited oversight. 
• Analyze structured data to identify trends, anomalies, business drivers, and actionable opportunities. 
• Own lightweight transformation logic and dashboard-ready data modeling needed to support accurate and scalable analytics outputs. 
• Apply and reinforce semantic modeling practices by defining, documenting, and maintaining consistent business logic for metrics, dimensions, and KPIs. 
• Validate data quality, troubleshoot reporting issues, and resolve moderately complex data logic challenges in partnership with adjacent teams where needed. 
• Synthesize analysis into clear findings, implications, and recommendations for internal and client stakeholders. 
• Support stakeholder discussions by clearly explaining performance changes, report logic, assumptions, and recommended actions. 
• Partner with Measurement Implementation Analysts, CRO Analysts, SEO / GEO Specialists, Analytics Engineers, and DEPA teams to ensure analytics outputs align to measurement design, platform realities, and business needs. 
• Improve analytics delivery by identifying opportunities for better reporting structure, cleaner metric definitions, improved documentation, and more scalable analysis workflows. 
• Contribute to governance discipline by following established privacy, measurement, and data-quality standards in day-to-day work. 

Must have qualifications

To be considered for this role, you must meet the following essential qualifications: 

• Strong working knowledge of digital analytics, reporting, dashboarding, and performance measurement. 
• Ability to independently manage recurring analytics workstreams and produce reliable outputs with minimal oversight. 
• Strong understanding of data structures, joins, dimensions, metrics, KPI logic, and dashboard design principles. 
• Ability to turn data into clear, business-relevant insights and recommendations. 
• Strong analytical problem-solving skills, including the ability to investigate anomalies and identify likely drivers of performance. 
• Working knowledge of semantic modeling and the role of consistent business definitions in scalable analytics. 
• Ability to balance technical accuracy with stakeholder usability in reports and dashboards. 
• Strong written and verbal communication skills in English, including the ability to present findings clearly to non-technical audiences. 
• Strong attention to detail with a disciplined approach to validation, QA, and documentation. 
• Ability to work effectively across distributed teams in the Americas and collaborate across functions, time zones, and client contexts. 

Tools / Platforms 

• Analytics & Reporting 
• Google Analytics 4 (GA4) 
• Adobe Analytics 

Other digital analytics platforms as needed 

• Visualization & BI 
• Looker 
• Power BI 
• Tableau 
• Looker Studio 
• Data & Querying 
• SQL 
• BigQuery 
• Snowflake 
• Excel 
• Google Sheets 
• Optimization / Experience / CDP Ecosystem 
• Optimizely 
• Adobe Target 
• Dynamic Yield 
• CDP and optimization tools as relevant to the client environment 

Nice to have qualifications  

• Google Analytics certification or equivalent GA4 learning path 
• Adobe Analytics learning path or platform training 
• Looker, Tableau, or Power BI certification 
• SQL certification or equivalent applied coursework 

If you do not meet all the listed qualifications or have gaps in your experience, we still encourage you to apply. At Valtech, we recognize that talent comes in many forms, and we value diverse perspectives and a willingness to learn. 

Commitment to reaching all kinds of people 

We design experiences that work for all kinds of people - and that starts with our own teams. At Valtech, we’re intentional about building an inclusive culture where everyone feels supported to grow, thrive and achieve their goals. No matter your background, you belong here. Explore our Diversity & Inclusion site to see how we’re creating a more equitable Valtech for all. 

The benefits   

Beyond a competitive compensation package, we offer: 

• Flexibility, with remote and hybrid work options (country-dependent) 
• Career advancement, with international mobility and professional development programs 
• Learning and development, with access to cutting-edge tools, training and industry experts 

Our benefits are tailored to each location. Your Talent Partner will provide full details during the hiring process. 

Your application process

Once you apply, our Talent Acquisition team will review your application. If your skills and experience align with the role, we’ll reach out for next steps. Your CV should cover key information on relevant experiences and expertise. We do not require information such as age, gender, marital status, or a headshot in your application. We review all candidates based on skills, experience, and potential.

⚠️ Beware of recruitment fraud: Only engage with official Valtech email addresses.

We are committed to inclusion and accessibility. If you need reasonable accommodations during the interview process, please either indicate it in your application or let your Talent Partner know. 

About Valtech

Valtech is the experience innovation company that exists to unlock a better way to experience the world. By blending crafts, categories, and cultures, we help brands unlock new value in an increasingly digital world. 

At the intersection of data, AI, creativity, and technology, we drive transformation for leading organizations, including L’Oréal, Mars, Audi, P&G, Volkswagen Dolby, and more. 

At Valtech, we don’t just talk about transformation. We make it happen. Our people are the heart of our success, and we foster a workplace where everyone has the support to thrive, grow and innovate. 

Are you ready to create what’s next? Join us.

Why Valtech? We’re the experience innovation company - a trusted partner to the world’s most recognized brands. To our people we offer growth opportunities, a values-driven culture, international careers and the chance to shape the future of experience. 

The opportunity

At Valtech, you’ll find an environment designed for continuous learning, meaningful impact, and professional growth. Whether you're pioneering new digital solutions, challenging conventional thinking or building the next generation of customer experiences, your work will help transform industries. 

We are proud of: 

• The work we do and the innovation we drive 
• Our values of share, care and dare 
• A workplace culture that fosters creativity, diversity and autonomy 
• Our borderless, global framework, which enables seamless collaboration 

The role  

he Sr Data Analyst is a mid-level practitioner role within Analytics, Intelligence, & Optimization. This role is responsible for leading substantial portions of reporting, dashboarding, and performance analysis workstreams that help teams understand business performance, identify opportunities, and support decision-making. The Sr Data Analyst works independently across recurring and ad hoc analytics needs, translates business questions into analytical approaches, and delivers clear, actionable insights to internal and client stakeholders. At this level, the role is expected to demonstrate strong analytical judgment, reliable execution, and growing leadership in how reporting logic, metric consistency, and insight generation are applied across engagements. 

Role responsibilities

• Lead the development, enhancement, and ongoing management of dashboards, reporting solutions, and recurring performance analysis. 
• Translate business questions into structured analytical approaches, reporting requirements, data needs, and output designs with limited oversight. 
• Analyze structured data to identify trends, anomalies, business drivers, and actionable opportunities. 
• Own lightweight transformation logic and dashboard-ready data modeling needed to support accurate and scalable analytics outputs. 
• Apply and reinforce semantic modeling practices by defining, documenting, and maintaining consistent business logic for metrics, dimensions, and KPIs. 
• Validate data quality, troubleshoot reporting issues, and resolve moderately complex data logic challenges in partnership with adjacent teams where needed. 
• Synthesize analysis into clear findings, implications, and recommendations for internal and client stakeholders. 
• Support stakeholder discussions by clearly explaining performance changes, report logic, assumptions, and recommended actions. 
• Partner with Measurement Implementation Analysts, CRO Analysts, SEO / GEO Specialists, Analytics Engineers, and DEPA teams to ensure analytics outputs align to measurement design, platform realities, and business needs. 
• Improve analytics delivery by identifying opportunities for better reporting structure, cleaner metric definitions, improved documentation, and more scalable analysis workflows. 
• Contribute to governance discipline by following established privacy, measurement, and data-quality standards in day-to-day work. 

Must have qualifications

To be considered for this role, you must meet the following essential qualifications: 

• Strong working knowledge of digital analytics, reporting, dashboarding, and performance measurement. 
• Ability to independently manage recurring analytics workstreams and produce reliable outputs with minimal oversight. 
• Strong understanding of data structures, joins, dimensions, metrics, KPI logic, and dashboard design principles. 
• Ability to turn data into clear, business-relevant insights and recommendations. 
• Strong analytical problem-solving skills, including the ability to investigate anomalies and identify likely drivers of performance. 
• Working knowledge of semantic modeling and the role of consistent business definitions in scalable analytics. 
• Ability to balance technical accuracy with stakeholder usability in reports and dashboards. 
• Strong written and verbal communication skills in English, including the ability to present findings clearly to non-technical audiences. 
• Strong attention to detail with a disciplined approach to validation, QA, and documentation. 
• Ability to work effectively across distributed teams in the Americas and collaborate across functions, time zones, and client contexts. 

Tools / Platforms 

• Analytics & Reporting 
• Google Analytics 4 (GA4) 
• Adobe Analytics 

Other digital analytics platforms as needed 

• Visualization & BI 
• Looker 
• Power BI 
• Tableau 
• Looker Studio 
• Data & Querying 
• SQL 
• BigQuery 
• Snowflake 
• Excel 
• Google Sheets 
• Optimization / Experience / CDP Ecosystem 
• Optimizely 
• Adobe Target 
• Dynamic Yield 
• CDP and optimization tools as relevant to the client environment 

Nice to have qualifications  

• Google Analytics certification or equivalent GA4 learning path 
• Adobe Analytics learning path or platform training 
• Looker, Tableau, or Power BI certification 
• SQL certification or equivalent applied coursework 

If you do not meet all the listed qualifications or have gaps in your experience, we still encourage you to apply. At Valtech, we recognize that talent comes in many forms, and we value diverse perspectives and a willingness to learn. 

Commitment to reaching all kinds of people 

We design experiences that work for all kinds of people - and that starts with our own teams. At Valtech, we’re intentional about building an inclusive culture where everyone feels supported to grow, thrive and achieve their goals. No matter your background, you belong here. Explore our Diversity & Inclusion site to see how we’re creating a more equitable Valtech for all. 

The benefits   

Beyond a competitive compensation package, we offer: 

• Flexibility, with remote and hybrid work options (country-dependent) 
• Career advancement, with international mobility and professional development programs 
• Learning and development, with access to cutting-edge tools, training and industry experts 

Our benefits are tailored to each location. Your Talent Partner will provide full details during the hiring process. 

Your application process

Once you apply, our Talent Acquisition team will review your application. If your skills and experience align with the role, we’ll reach out for next steps. Your CV should cover key information on relevant experiences and expertise. We do not require information such as age, gender, marital status, or a headshot in your application. We review all candidates based on skills, experience, and potential.

⚠️ Beware of recruitment fraud: Only engage with official Valtech email addresses.

We are committed to inclusion and accessibility. If you need reasonable accommodations during the interview process, please either indicate it in your application or let your Talent Partner know. 

About Valtech

Valtech is the experience innovation company that exists to unlock a better way to experience the world. By blending crafts, categories, and cultures, we help brands unlock new value in an increasingly digital world. 

At the intersection of data, AI, creativity, and technology, we drive transformation for leading organizations, including L’Oréal, Mars, Audi, P&G, Volkswagen Dolby, and more. 

At Valtech, we don’t just talk about transformation. We make it happen. Our people are the heart of our success, and we foster a workplace where everyone has the support to thrive, grow and innovate. 

Are you ready to create what’s next? Join us.

Why Valtech? We’re the experience innovation company - a trusted partner to the world’s most recognized brands. To our people we offer growth opportunities, a values-driven culture, international careers and the chance to shape the future of experience. 

The opportunity

At Valtech, you’ll find an environment designed for continuous learning, meaningful impact, and professional growth. Whether you're pioneering new digital solutions, challenging conventional thinking or building the next generation of customer experiences, your work will help transform industries. 

We are proud of: 

• The work we do and the innovation we drive 
• Our values of share, care and dare 
• A workplace culture that fosters creativity, diversity and autonomy 
• Our borderless, global framework, which enables seamless collaboration 

The role  

he Sr Data Analyst is a mid-level practitioner role within Analytics, Intelligence, & Optimization. This role is responsible for leading substantial portions of reporting, dashboarding, and performance analysis workstreams that help teams understand business performance, identify opportunities, and support decision-making. The Sr Data Analyst works independently across recurring and ad hoc analytics needs, translates business questions into analytical approaches, and delivers clear, actionable insights to internal and client stakeholders. At this level, the role is expected to demonstrate strong analytical judgment, reliable execution, and growing leadership in how reporting logic, metric consistency, and insight generation are applied across engagements. 

Role responsibilities

• Lead the development, enhancement, and ongoing management of dashboards, reporting solutions, and recurring performance analysis. 
• Translate business questions into structured analytical approaches, reporting requirements, data needs, and output designs with limited oversight. 
• Analyze structured data to identify trends, anomalies, business drivers, and actionable opportunities. 
• Own lightweight transformation logic and dashboard-ready data modeling needed to support accurate and scalable analytics outputs. 
• Apply and reinforce semantic modeling practices by defining, documenting, and maintaining consistent business logic for metrics, dimensions, and KPIs. 
• Validate data quality, troubleshoot reporting issues, and resolve moderately complex data logic challenges in partnership with adjacent teams where needed. 
• Synthesize analysis into clear findings, implications, and recommendations for internal and client stakeholders. 
• Support stakeholder discussions by clearly explaining performance changes, report logic, assumptions, and recommended actions. 
• Partner with Measurement Implementation Analysts, CRO Analysts, SEO / GEO Specialists, Analytics Engineers, and DEPA teams to ensure analytics outputs align to measurement design, platform realities, and business needs. 
• Improve analytics delivery by identifying opportunities for better reporting structure, cleaner metric definitions, improved documentation, and more scalable analysis workflows. 
• Contribute to governance discipline by following established privacy, measurement, and data-quality standards in day-to-day work. 

Must have qualifications

To be considered for this role, you must meet the following essential qualifications: 

• Strong working knowledge of digital analytics, reporting, dashboarding, and performance measurement. 
• Ability to independently manage recurring analytics workstreams and produce reliable outputs with minimal oversight. 
• Strong understanding of data structures, joins, dimensions, metrics, KPI logic, and dashboard design principles. 
• Ability to turn data into clear, business-relevant insights and recommendations. 
• Strong analytical problem-solving skills, including the ability to investigate anomalies and identify likely drivers of performance. 
• Working knowledge of semantic modeling and the role of consistent business definitions in scalable analytics. 
• Ability to balance technical accuracy with stakeholder usability in reports and dashboards. 
• Strong written and verbal communication skills in English, including the ability to present findings clearly to non-technical audiences. 
• Strong attention to detail with a disciplined approach to validation, QA, and documentation. 
• Ability to work effectively across distributed teams in the Americas and collaborate across functions, time zones, and client contexts. 

Tools / Platforms 

• Analytics & Reporting 
• Google Analytics 4 (GA4) 
• Adobe Analytics 

Other digital analytics platforms as needed 

• Visualization & BI 
• Looker 
• Power BI 
• Tableau 
• Looker Studio 
• Data & Querying 
• SQL 
• BigQuery 
• Snowflake 
• Excel 
• Google Sheets 
• Optimization / Experience / CDP Ecosystem 
• Optimizely 
• Adobe Target 
• Dynamic Yield 
• CDP and optimization tools as relevant to the client environment 

Nice to have qualifications  

• Google Analytics certification or equivalent GA4 learning path 
• Adobe Analytics learning path or platform training 
• Looker, Tableau, or Power BI certification 
• SQL certification or equivalent applied coursework 

If you do not meet all the listed qualifications or have gaps in your experience, we still encourage you to apply. At Valtech, we recognize that talent comes in many forms, and we value diverse perspectives and a willingness to learn. 

Commitment to reaching all kinds of people 

We design experiences that work for all kinds of people - and that starts with our own teams. At Valtech, we’re intentional about building an inclusive culture where everyone feels supported to grow, thrive and achieve their goals. No matter your background, you belong here. Explore our Diversity & Inclusion site to see how we’re creating a more equitable Valtech for all. 

The benefits   

Beyond a competitive compensation package, we offer: 

• Flexibility, with remote and hybrid work options (country-dependent) 
• Career advancement, with international mobility and professional development programs 
• Learning and development, with access to cutting-edge tools, training and industry experts 

Our benefits are tailored to each location. Your Talent Partner will provide full details during the hiring process. 

Your application process

Once you apply, our Talent Acquisition team will review your application. If your skills and experience align with the role, we’ll reach out for next steps. Your CV should cover key information on relevant experiences and expertise. We do not require information such as age, gender, marital status, or a headshot in your application. We review all candidates based on skills, experience, and potential.

⚠️ Beware of recruitment fraud: Only engage with official Valtech email addresses.

We are committed to inclusion and accessibility. If you need reasonable accommodations during the interview process, please either indicate it in your application or let your Talent Partner know. 

About Valtech

Valtech is the experience innovation company that exists to unlock a better way to experience the world. By blending crafts, categories, and cultures, we help brands unlock new value in an increasingly digital world. 

At the intersection of data, AI, creativity, and technology, we drive transformation for leading organizations, including L’Oréal, Mars, Audi, P&G, Volkswagen Dolby, and more. 

At Valtech, we don’t just talk about transformation. We make it happen. Our people are the heart of our success, and we foster a workplace where everyone has the support to thrive, grow and innovate. 

Are you ready to create what’s next? Join us.

Want to help us help others? We’re hiring!

GoFundMe is the world’s most powerful community for good, dedicated to helping people help each other. By uniting individuals and nonprofits in one place, GoFundMe makes it easy and safe for people to ask for help and support causes—for themselves and each other. Together, our community has raised more than $40 billion since 2010.

Join us! The GoFundMe team is searching for our next Senior Staff Data Platform Architect to help design and evolve the modern data platform that powers analytics, product decision-making, experimentation, and AI/ML across GoFundMe.

This is a highly impactful role focused on modernizing our existing data ecosystem into a scalable, cloud-native foundation for real-time insights, experimentation, trust and safety, and AI-driven experiences. You’ll partner closely with engineering, product, analytics, and data science to build systems that are reliable, efficient, and built for long-term growth.

AI is increasingly embedded in how we build, prioritize, and ship across Product and Technology, and this role will help create the data foundation that enables those capabilities to scale responsibly, reliably, and effectively.

This is a hybrid position. Candidates considered for this role will be located in Buenos Aires, Argentina.

The Job

• Modernize and evolve our existing data ecosystem into a scalable, secure, and high-performing cloud-native platform.
• Own end-to-end data platform architecture across ingestion, transformation, modeling, storage, and consumption.
• Design systems that support analytics, real-time reporting, experimentation, trust and safety, and AI/ML use cases.
• Define enterprise-wide standards for data modeling, semantic layers, and trusted datasets used across the business.
• Build practical frameworks for data lineage, quality, privacy, and security, including support for GDPR, CCPA, and other compliance needs.
• Drive reliability, observability, and cost efficiency across the platform to support growth at scale.
• Guide technology decisions across data engineering, analytics, and AI use cases, including evaluation of modern tools and architectural patterns.
• Partner cross-functionally with engineering, product, analytics, and data science teams to translate business needs into scalable technical solutions.
• Stay hands-on in architecture and design decisions, helping solve complex platform problems when needed.
• Mentor engineers and raise the technical bar across the data organization by coaching on best practices and influencing strategic platform decisions.

You

• 10+ years of experience in data architecture, platform engineering, or data engineering, with at least 3+ years in a senior, staff, or architect-level role.
• Proven experience building and evolving data platforms end-to-end, including architecture, data models, and platform standards — not just individual pipelines.
• Hands-on experience with modern cloud-native data platforms such as Snowflake, Databricks, or similar technologies.
• Strong understanding of data modeling, semantic layers, and building trusted datasets for analytics and product use cases.
• Experience designing both batch and real-time data systems, including streaming or event-driven architectures.
• Leverage AI tools such as Claude and agentic workflows to accelerate architectural design, technical documentation, and platform delivery.
• Experience implementing data governance in practice, including lineage, data quality, access controls, and privacy/compliance frameworks.
• Strong communicator who can explain architecture decisions clearly to engineers, product managers, and leadership.
• Demonstrated ability to communicate complex technical concepts clearly and drive alignment across diverse stakeholders.
• Experience influencing technical direction across teams and aligning stakeholders such as AI Platform and other engineers around shared platform decisions.
• Comfort operating in a hands-on technical leadership role, balancing strategy with execution.
• Familiarity with AI-assisted development practices, using tools like Claude or agentic frameworks to accelerate design, documentation, and code review.

Preferred

• Experience at a high-growth consumer tech company, marketplace, fintech, or SaaS platform.
• Experience supporting experimentation, trust and safety, fraud, or ML/AI-driven systems.
• Familiarity with dbt, Looker, or similar semantic modeling and analytics tools.
• Experience with lakehouse technologies such as Delta Lake or Iceberg.

Why you’ll love it here

• Make an Impact: Be part of a mission-driven organization making a positive difference in millions of lives every year.
• Innovative Environment: Work with a diverse, passionate, and talented team in a fast-paced, forward-thinking atmosphere.
• Collaborative Team: Join a fun and collaborative team that works hard and celebrates success together.
• Competitive Benefits: Enjoy competitive pay and comprehensive healthcare benefits.
• Holistic Support: Enjoy financial assistance for things like hybrid work, family planning, along with generous parental leave, flexible time-off policies, and mental health and wellness resources to support your overall well-being.
• Growth Opportunities: Participate in learning, development, and recognition programs to help you thrive and grow.
• Commitment to DEI: Contribute to diversity, equity, and inclusion through ongoing initiatives and employee resource groups.
• Community Engagement: Make a difference through our volunteering program.

We live by our core values: impatient to be great, find a way, earn trust every day, fueled by purpose. Be a part of something bigger with us!

GoFundMe is proud to be an equal opportunity employer that actively pursues candidates of diverse backgrounds and experiences.  We do not discriminate on the basis of race, color, religion, ethnicity, nationality or national origin, sex, sexual orientation, gender, gender identity or expression, pregnancy status, marital status, age, medical condition, mental or physical disability, or military or veteran status.

If you require a reasonable accommodation to complete a job application or a job interview or to otherwise participate in the hiring process, please contact us at accommodationrequests@gofundme.com. 

Global Data Privacy Notice for Job Candidates and Applicants:

Depending on your location, the General Data Protection Regulation (GDPR) or certain US privacy laws may regulate the way we manage the data of job applicants. Our full notice outlining how data will be processed as part of the application procedure for applicable locations is available here. By submitting your application, you are agreeing to our use and processing of your data as required. 

Learn more about GoFundMe:

We’re proud to partner with GoFundMe.org, an independent public charity, to extend the reach and impact of our generous community, while helping drive critical social change. You can learn more about GoFundMe.org’s activities and impact in their FY ‘25 annual report.

Our annual “Year in Help” report reflects our community’s impact in advancing our mission of helping people help each other.

For recent company news and announcements, visit our Newsroom.

Role type: Full-time
Team: Data Analytics
Reporting to: Director, Data Science
Office: BA
Right to work: US / BA

What's the role 

As a Senior Data Analytics Specialist at Brainlabs, you will independently deliver high-quality data analysis, reporting, and dashboards that drive client decision-making. You'll own end-to-end analytics projects, create compelling data narratives, and use advanced SQL, Python, or R to extract insights. This role is perfect for an analytically rigorous professional ready to take ownership of complex data challenges, using the outputs to drive more effective media programs.

What you do

• Independently deliver exploratory and diagnostic analyses with clear acceptance criteria, applying peer-reviewed analytical methods
• Own dashboard and reporting development in Looker, Power BI, or Tableau, creating concise narratives and compelling visualizations that prompt business decisions
• Lead development and delivery of high-impact client-facing analysis deliverables that contribute to scaling media or elevate our status as a strategic partner
• Perform data validation, QA, cleaning, feature engineering, and transformations to ensure data accuracy and reliability
• Utilize advanced SQL, Python, or R techniques for complex data manipulation and analysis
• Apply machine learning and regression analysis techniques, evaluating results and comparing different models through hypothesis testing
• Assist in test design, tracking, and readouts for experimentation initiatives
• Maintain project management hygiene with clear documentation and runbooks
• Progress certifications (including AI-related learning) and share learnings with the team

Who you are

• Has 2+ years of experience in data analytics, business intelligence, or a related field
• Demonstrates strong proficiency in SQL and at least one programming language (Python or R)
• Has hands-on experience with modern BI tools such as Looker, Tableau, or Power BI
• Possesses a solid foundation in statistics and data science methodologies, including regression analysis and ML fundamentals
• Can translate complex analytical findings into clear, actionable insights for both technical and non-technical audiences
• Excels at working independently while collaborating effectively across teams
• Has experience in digital marketing analytics, media measurement, or performance marketing (preferred)
• Is detail-oriented with excellent project management and documentation skills

How you succeed

• You deliver accurate, timely analytics that directly inform client strategy and media optimization decisions
• Your dashboards and reports are highly valued by clients and internal teams for their clarity and actionability
• You consistently achieve high client satisfaction
• You proactively identify opportunities for automation and efficiency improvements
• You actively contribute to team knowledge sharing and continuous learning culture

Some benefits for you: ✨

• This is a full time job (en relación de dependencia).
• Hybrid salary scheme (50% paid in USD).
• 20 working days vacation plus all Argentina public holidays.
• Private healthcare (OSDE 210).
• Adaptive/hybrid working, with 3 days in our amazing Palermo Office (right opposite the Hippodrome!)
• Free breakfast and lunch in the office.
• Quarterly training sessions on wider business skills (pitching, strategy, client servicing)
• Mobility programmes - work from another country for up to 30 days!

#LI-CO1

We’re looking for an HRIS Senior Analyst to join our People team and be responsible for the health of our HRIS systems. You’ll go beyond day-to-day HR support to drive reporting, insights, and process improvements across the full employee lifecycle. You’ll be a key connector between People systems, compensation processes, and executive reporting — helping us make data-informed decisions and run efficiently at scale.

The Impact You’ll Make:

HR Systems & Data Integrity:

• Support the day-to-day administration of SuccessFactor and related HR technologies, ensuring reliable system performance and data accuracy, focusing on the employee central module. 
• Assist with system configuration, maintenance, bulk uploads, and testing activities to ensure HR tools effectively support business processes.
• Create and maintain standard and ad-hoc reports and dashboards, ensuring accurate and timely delivery of HR data and metrics, supporting quarterly reporting and ongoing people data requests for senior leadership.
• Support integrations between Successfactors and other business-critical systems (e.g., payroll, finance) by assisting with testing, monitoring, and issue resolution.
• Stay current with industry trends and emerging technologies in data analytics and operational systems management to drive innovation within the team.

Total Rewards:

• Support execution of compensation reviews (data prep, manager guides, audit)
• Maintain salary structures, career ladders, competencies, and variable pay programs, ensuring compensation structures are competitive, compliant, and clearly communicated
• Conduct internal compensation and equity benchmarking analyses
• Evaluate market trends and benchmarks to ensure the competitiveness and cost-effectiveness of compensation and benefits programs.
• Partner with Talent Acquisition to create competitive, market-aligned offers and internal mobility strategies..

Compliance and Documentation:

• Be a guardian of internal policies, ensuring compliance and clarity across the organization.
• Stay current with best practices, regulatory changes, and market trends to maintain a proactive approach.

People Support:

• Collaborate cross-functionally on initiatives spanning performance management, engagement, DEI, and internal communications—infusing each with a data-informed mindset.
• Participate in cross-functional projects with Legal, Finance, and IT (e.g., audits, new tools)
• Collaborate with the HRBP, TA, and L&D teams to document and improve people processes

What You’ll Bring to Us:

• +4 years in People Operations, HR Analytics, or a similar HR function
• • Experience with SAP SuccessFactors will be highly valued
• Strong analytical skills — experience with Excel/Google Sheets and HR dashboards (e.g., Looker, Tableau, or HRIS-native reporting)
• Excellent communication skills, including experience presenting to or preparing content for senior leadership
• Advanced English Skills
• Ability to work with confidential data responsibly
• Comfortable navigating ambiguity and building from scratch
• Familiarity with HRIS platforms, and multiple HR Systems (ATS, PS, Analytics, etc)
• Startup/scaling company experience - is a plus
• Knowledge of comp and equity plans  - is a plus
• Process mapping or automation tools  - is a plus

What We’ll Offer You:

• Unlimited Vacations
• Monthly Inflation updates
• Lunch Credit
• OSDE 410 as medical assurance 
• English lessons
• Gym coverage
• Internet coverage
• 1 extra paid month for primary & secondary birthing caregivers
• Learning & Development - Tools and Training 
• Hybrid & flexible working model - nice offices in Parque Chas with endless snacks & beverages
• High visibility roles with a tremendous amount of growth potential 
• Global team and cross-company collaboration unlike anywhere else!

The role

Benefits

🩺 Health Insurance coverage (Canada Life)

⛱ Flexible Paid Time Off

🗓️ 5- year Sabbatical: After 5 years with CookUnity, you get a 4-week paid sabbatical

🐣 Paid Family leave.

🕯 Compassionate Leave: 3-5 days each time the need arises

🥘 A generous amount of CookUnity credits to enjoy our amazing meals, added to your account, monthly.

🧘🏽‍♀️ Wellness perks: fitness subsidies to build a healthy lifestyle

👩🏾‍🏫 Personalized Spanish coach

🚀 Awesome opportunity to join a company that is looking to change how we eat and how chefs work!

About the Team:

Our Data Team is a highly dynamic and innovative group that excels in solving complex business challenges and propelling the growth of an enterprise through our analytical expertise. We provide crucial insights that empower individuals across the company to make better decisions, ultimately increasing efficiency. If you have a passion for shaping the future of an organization with your analytical skills, this role offers an exciting opportunity to fulfill your aspirations.

The role:

Analytics Engineers at CookUnity are data product owners who sit in a single team on a mission to minimize time spent by analysts and data scientists discovering, understanding and preparing data before launching into their work. Each analytics engineer has ownership and autonomy over a set of entities / tables in a domain, collaborating on a single data design from first principles that the team owns together. As their products mature they merchandise them as Tableau Connections, extracts into sheets or any other end point needed to achieve their mission.

Some analytics engineers have an interest in data infrastructure and integrations, others in bringing their data to life through interactive visualizations but all have the skills to work with unruly raw data, design analytics friendly data products (incl entities and flat tables) and build them to a production standard that the whole company can rely on. Everyone in data at CookUnity comes with a high agency mindset, a passion for collaborating with others, a pattern of achievement and a sincere interest in investing in their own development.

Everyone in data at CookUnity comes with a high agency mindset, a passion for collaborating with others, a pattern of achievement and a sincere interest in investing in their own development.

Responsibilities:

• Own Core Data Products

  Design, build, and maintain dbt models in Snowflake that reflect key business logic and serve as reliable sources of truth. Define clear ownership, usage expectations, and roadmaps for your data products.

• Build Trustworthy, Scalable Models

  Develop models that are easy to use, tested, documented, and serve a wide range of stakeholders. Measure success through usage metrics, reduced support needs, and SLA coverage.

• Ensure Reliability and Observability

  Monitor pipelines, track schema changes, and implement testing and alerting to ensure consistent data quality and uptime.

• Drive Iteration Through Feedback

  Collect and act on feedback from users. Use metrics, interviews, and usage logs to continuously improve your data products and documentation.

• Advance AI Adoption in Analytics

  Champion the use of agentic and AI-assisted tools in data workflows. Lead pilots, measure impact, and scale successful practices across the team.

• Collaborate Cross-Functionally

  Work with Engineering, Product, and Ops to align on metrics, instrumentation, experimentation, and data needs.

• Mentor and Raise the Bar

  Review code, guide design decisions, and share knowledge to elevate the craft of Analytics Engineering within the team.

Qualifications:

• 4+ years of experience in Analytics Engineering, Data Engineering, or a similar role working with modern data stacks (dbt, Fivetran/Airbyte, Airflow, Snowflake/BigQuery, etc.)
• Deep understanding of data modeling principles (e.g. dimensional modeling, ELT best practices, testing strategies, etc.)
• Proficiency in SQL and version control (Git), with experience shipping production-quality data pipelines
• Experience collaborating closely with cross-functional stakeholders (Product, Engineering, Operations, etc.) to translate business needs into data solutions
• Comfort navigating ambiguity in fast-paced environments, with a strong sense of ownership and problem-solving mindset
• Familiarity with BI tools (e.g. Tableau, Hex, Looker) and a passion for enabling self-serve data culture
• Excellent communication skills, with the ability to explain technical concepts to non-technical audiences

Learn More About CookUnity

We believe great leadership starts with alignment on vision, values, and ways of working. To give you deeper insight into who we are and what we’re looking for, we invite you to explore: CookUnity's Leadership Principles – The values and behaviors that guide how we operate, collaborate, and scale.

We hope this provides valuable insight into our culture and product vision. If this excites you, we’d love to connect!

Benefits

💸 Get paid in USD

🗺 Work remotely: design the life that you want

⛱ Enjoy 15 days of vacation each year from the start date

🎄 16 fully paid Argentinean holidays

🩺 Healthcare Benefit: Monthly stipend to use in your preferred healthcare provider

🗓️ 5- year Sabbatical: After 5 years with CookUnity, you get a 4-week paid sabbatical

🐣 Paid Family leave

🕯 Compassionate Leave: 3-5 days each time the need arises

🧘🏽‍♀️ Customize the benefits that suit your needs! Access a range of perks tailored to you, including learning opportunities, wellness memberships, delivery apps, and more through our comprehensive benefit platform

🧑‍🏫 Personalized English coach

About the Team

The Growth Marketing Team leads the company's efforts to acquire new eaters across a variety of channels. This is more than the ambition of expanding audiences, increasing traffic and conversion rate while keeping CAC low. CookUnity has an incredible chef-driven story to tell—and a mind-blowing, must-taste product to introduce to the world. And because of this, the sky's the limit in crafting an alluring proposition and leveraging magnetic content. We have an incredible mission, as a marketing team, to not simply shake up the known Weekly Meal Plans and On-Demand Food Delivery categories, but usher in a new era of the chef-centric marketplace.

About the Role

As a Senior Associate, Paid Social, you’ll play a key role in shaping and executing our paid social strategy across platforms like Meta, YouTube, TikTok, and more. You’ll use data, creative, and audience insights to drive high-ROI acquisition while maintaining CAC efficiency.

As part of CookUnity’s in-house growth team, you’ll contribute to strategy while owning day-to-day campaign execution. You’ll bring strong knowledge of the social landscape to scale channels, optimize performance, and share insights on trends and opportunities.

Reporting to the Growth Marketing Director, you’ll manage campaigns, run tests, and collaborate closely with teams across Creative, CRM, Brand, Product, Tech, and Data to support growth.

Responsibilities

1. Own and Execute Paid Social Growth Strategy

• Develop, implement, and optimize a full-funnel paid social strategy across Meta, TikTok, Snap, Reddit, X, YouTube, and emerging channels.
• Manage and scale multi-million dollar budgets while improving customer acquisition costs (CAC), return on ad spend (ROAS), and lifetime value (LTV).
• Drive incremental customer acquisition while maintaining efficiency, ensuring campaigns are scalable and profitable.
• Drive growth through high-volume creative and campaign launches to combat creative fatigue, and daily hands-on-keyboard optimizations

2. Optimize Campaigns, Budgets & Creative to Maximize Growth

• Continuously analyze performance metrics and translate insights into actionable optimizations.
• Leverage media mix modeling and incrementality testing to understand channel impact.
• Work closely with the Performance Creative team to develop and test high-converting ad creatives across static, video, and UGC formats.
• Conduct audience segmentation and targeting experiments to scale high-LTV cohorts.

3. Build and Execute a Robust Testing Roadmap

• Define a structured A/B testing roadmap for campaign creative, audience strategies, bidding strategies, ad formats, and other key performance drivers.
• Partner with Growth Product and CRO teams to develop and test landing pages that improve conversion rates.
• Explore new automation, AI, and machine learning tools for real-time optimization.

4. Cross-Functional Collaboration for Growth

• Work with Brand, Product, Tech, and Data Science teams to align paid social strategies with the overall growth vision.
• Collaborate with Performance Creative to drive data-driven storytelling that resonates with CookUnity’s target customers.
• Partner with the CRM team to ensure new customers transition seamlessly into the lifecycle journey for retention.

5. Stay Ahead of Industry Trends & Advise Leadership

• Monitor platform updates, policy changes, and new advertising features across Meta, TikTok, Snap, and others.
• Bring innovation into CookUnity’s paid social approach, identifying emerging trends, betas, and AI-driven tools that can drive efficiencies.
• Report key findings and strategic recommendations to senior leadership, ensuring CookUnity remains ahead of competitors.

Qualifications

• 4+ years of experience in Growth Marketing, with an emphasis on paid social within high-growth DTC companies.
• Advanced English level
• Experience with US clients
• A Bachelor’s degree with a strong academic record and/or proven relevant experience in a performance marketing or highly commercial role.
• Collaborative attitude and comfortable working in a fast-paced environment
• Experience with data analytics and visualization platforms such as Tableau, Google Analytics, Looker, and/or Mixpanel.
• A creative-minded person with a strong interest in developing a cohesive brand presence across marketing touchpoints.
• Outstanding degree of understanding in a marketing or tech-related subject (e.g. adtech, data science, engineering, economics, marketing, business).
• Generate solutions from deconstructing problems derived from qualitative (e.g., branding, design, campaign creatives) and quantitative (e.g., performance, attribution, LTV) marketing challenges.
• Experience in managing large marketing budgets at high growth companies and/or performance marketing agencies.

Soft Skills

• Entrepreneurial with a high level of energy, and an unrelenting drive to succeed and win.
• Masters the stretch of strategic, big picture thinking and hands-on, ‘getting things done’ mentality that generates immediate impact.
• Collaborative and results-oriented leader, business partner and change agent who can lead through influence and possesses professional maturity and industry credibility.
• Superior communication, presentation and organizational skills.
• Strong mix of conceptual, data-driven, and analytical capabilities but also a hands-on and agile mentality.
• Ability to define marketing, data and tech requirements based on solid quantitative, technical knowledge and passion

Benefits

💸 Get paid in USD.

🗺 Work remotely: design the life that you want

⛱ Enjoy 15 days of vacation each year from the start date

🎄 16 fully paid Argentinean holidays

🩺 Healthcare Benefit: Monthly stipend to use in your preferred healthcare provider

🗓️ 5- year Sabbatical: After 5 years with CookUnity, you get a 4-week paid sabbatical

🐣 Paid Family leave

🕯 Compassionate Leave: 3-5 days each time the need arises

🧘🏽‍♀️ Customize the benefits that suit your needs! Access a range of perks tailored to you, including learning opportunities, wellness memberships, delivery apps, and more through our comprehensive benefit platform

🧑‍🏫 Personalized English coach

WHY DEPT®?

We are a Growth Invention company built to help the world’s most ambitious brands grow faster. Operating at the intersection of technology and marketing, we create what is next by pioneering ideas, acting fast, and moving further because standing still just is not in our DNA.

We are drawn to people who stay curious, move with intent, and never stop inventing. Our culture runs on three values: better together, relentlessly curious, and get sh*t done. It is how we work, how we grow, and how we make things that matter.

At DEPT®, you will find the freedom to explore, the space to collaborate, and the trust to make a real impact for our clients, for each other, and for the world we are helping to build.

THE ROLE:

We are looking for a Senior Analytics Engineer to join our team and help shape the future of our data strategy. In this role, you will transform raw data into high-quality, self-serve data artifacts, applying a quantitative framework to solve complex business problems. You are someone who bridges the gap between raw engineering and business insights, ensuring our data ecosystem is scalable, trustworthy, and actionable.

Our ideal candidate is excited about data modeling, applied statistics, and building the foundation for a truly data-driven organization. At DEPT® Data & Engineering, we pride ourselves on our pragmatic, engineering approach to making data work for the business.

WHAT YOU'LL BRING:

• Design and build flexible, trustworthy data models using dbt and SQL. You will transform data from multiple sources into reusable, business-friendly datasets.
• Work directly with Product, Marketing, Sales, and Finance to define requirements, realign expectations when scope changes, and deliver technical solutions to business needs.
• Lead discovery on data tools and infrastructure. Participate in the technical design of schemas and pipelines, ensuring best practices for project architecture and QA.
• Build and maintain semantic layers and documentation to enable self-service analytics, helping data consumers find the right datasets to answer questions quickly.
• Proactively identify design flaws in data models and implement fixes. Manage the end-to-end ecosystem, including ETL/ELT, data governance, and performance optimization.
• Research solutions independently and the intuition to know when to ask for help versus when to innovate.
• Translate complex business questions into technical specs and present findings to non-technical stakeholders.
• Participate in system design and offering sound guidance on data risks and dependencies.

WHAT WE ARE LOOKING FOR:

• 4+ years of applied analytics/data engineering experience, preferably within a fast-paced tech company or consulting environment. 
• Expert-level SQL: Ability to write, troubleshoot, and optimize complex scripts for performance and cost.
  • • dbt (Data Build Tool): Proven experience using dbt to manage the transformation layer of the modern data stack.
    • Data Modeling: Strong expertise in industry concepts (Star Schema, Snowflake Schema) and building semantic layers.
• Cloud Warehousing: Familiarity with cloud platforms (GCP, AWS, Azure) and warehouses (Snowflake, BigQuery, or Redshift).
• BI & Visualization: Proficiency in defining data models and measures in tools like Looker or Tableau.

WHAT DO WE OFFER?

• We enjoy spending time together, working closely with other local colleagues, and getting to know one another. Our Buenos Aires offices (Villa Crespo or Mar del Plata) are fully equipped with refreshments and great common spaces!
• Premium healthcare through OSDE for the employee and their immediate family members
• Mendel prepaid card with a monthly allowance for grocery purchases
• Monthly reimbursements for Wi-Fi/electricity expenses
• Monthly reimbursements for training/English classes
• 100% covered “Plan Total” membership at Sportclub
• Access to a our benefits platform through Bonda
• A flexible vacation policy

WE SUPPORT YOU BEING YOU

DEPT® is an equal opportunity employer (EOE). We believe our work is at its best when our people feel safe and free to be themselves. We’re committed to an inclusive and barrier-free recruitment and selection process and workplace, regardless of anyone’s lived experience, race, color, religion, sex, national origin, age, disability, and genetic information. So tell us about any accommodations you need. It’s totally confidential and only used to make sure you feel fully supported at every step.

We are a B Corp-certified company passionate about purpose-driven work. Our hope is that you can feel good about the contributions DEPT® is making to the world, and we always have an open door for your ideas in making the world a better place.

DEPT® is a pioneering technology and marketing services company that creates integrated end-to-end digital experiences for brands such as Google, KFC, Philips, Audi, Twitch, Patagonia, eBay and more. Its team of 2,500+ digital specialists across 30+ locations on 5 continents delivers pioneering work on a global scale with a boutique culture.

Learn more about DEPT®

DIVERSITY, EQUITY, & INCLUSION

At DEPT®, we take pride in creating an inclusive workplace where everyone has an equal opportunity to thrive. We actively seek to recruit, develop, nurture, and retain talented individuals from diverse backgrounds, with varying skills and perspectives.

Not sure you meet all qualifications? Apply, and let us decide! Research shows that women and members of underrepresented groups tend not to apply for jobs when they think they may not meet every requirement, when in fact they do. We believe in giving everyone a fair chance to shine.

We also encourage you to reach out to us and discuss any reasonable adjustments we can make to support you throughout the recruitment process and your time with us.

Want to know more about our dedication to diversity, equity, and inclusion? Check out our efforts here.

Want to help us help others? We’re hiring! 

GoFundMe is the world’s most powerful community for good, dedicated to helping people help each other. By uniting individuals and nonprofits in one place, GoFundMe makes it easy and safe for people to ask for help and support causes—for themselves and each other. Together, our community has raised more than $40 billion since 2010.

Join us! The GoFundMe team is searching for our next Staff Analytics Engineer to join our Data Platform team! 

In this position, you will help define and scale our modern analytics layer—bridging raw data and business insights through trusted, well-modeled, and accessible datasets. This role sits at the intersection of data engineering, analytics, and product, and is critical to enabling high-quality decision-making across the organization. You’ll partner closely with stakeholders to define metrics, model data, and build scalable, self-serve analytics foundations. This, in turn, drives business growth, fostering a worldwide environment of peer-to-peer generosity. 

This is a hybrid position. Candidates considered for this role will be located in Buenos Aires, Argentina.

The Job

• Design, build, and maintain scalable data models that power analytics, reporting, and experimentation
• Develop and manage transformation workflows using DBT (or similar tools) following modern ELT practices
• Define and maintain a metrics layer / semantic layer to ensure consistent, trusted business definitions
• Build curated, analytics-ready datasets from multiple sources (event data, transactional systems, third-party APIs)
• Partner with stakeholders to translate business questions into well-defined metrics and data models
• Ensure data quality through testing, validation, and monitoring frameworks
• Optimize query performance and cost efficiency within Snowflake (or similar warehouse)
• Enable self-service analytics by designing intuitive, well-documented data models
• Support and scale experimentation frameworks, including A/B testing and metric standardization
• Leverage AI tools such as Claude and agentic workflows to accelerate data modeling, metric documentation, and semantic layer development
• Help shape how the team uses AI-assisted analytics — enabling data scientists and business users to query trusted datasets through governed AI interfaces
• Collaborate with data engineers to define upstream data contracts and improve data reliability
• Document data models, metrics, and lineage to improve discoverability and trust
• Contribute to governance practices including naming conventions, versioning, and access controls
• Drive adoption of best practices in analytics engineering across the organization

You 

• 5+ years of experience in analytics engineering, data engineering, or advanced analytics roles
• Strong expertise in SQL (advanced querying, optimization, window functions, etc.)
• Hands-on experience with DBT or similar transformation frameworks
• Experience working with modern data warehouses such as Snowflake, BigQuery, or Redshift
• Strong understanding of data modeling best practices (star schema, dimensional modeling, etc.)
• Hands-on experience with AI-assisted development tools such as Claude or GitHub Copilot to accelerate modeling, documentation, and code review
• Strong understanding of how LLMs and agentic workflows interact with semantic layers and what that means for how analytics data is structured and governed
• Experience defining and managing business metrics and semantic layers
• Familiarity with event-based data models and user behavior tracking
• Experience working with analytics tools such as Looker, Tableau, Sigma, or similar
•  

Preferred

• Experience with experimentation platforms and A/B testing frameworks
• Familiarity with metrics layer tools (e.g., LookML, MetricFlow, Cube, Transform)
• Experience with event tracking tools (GA, Heap, Segment, CDPs)
• Experience with Python for data transformation or analysis
• Knowledge of data orchestration tools (Airflow, Prefect)
• Experience with data governance and cataloging tools
• Familiarity with machine learning data pipelines or feature stores
• Experience with Reverse ETL tools (e.g., Hightouch, Census)

Why you’ll love it here

• Make an Impact: Be part of a mission-driven organization making a positive difference in millions of lives every year.
• Innovative Environment: Work with a diverse, passionate, and talented team in a fast-paced, forward-thinking atmosphere.
• Collaborative Team: Join a fun and collaborative team that works hard and celebrates success together.
• Competitive Benefits: Enjoy competitive pay and comprehensive healthcare benefits.
• Holistic Support: Enjoy financial assistance for things like hybrid work, family planning, along with generous parental leave, flexible time-off policies, and mental health and wellness resources to support your overall well-being.
• Growth Opportunities: Participate in learning, development, and recognition programs to help you thrive and grow.
• Commitment to DEI: Contribute to diversity, equity, and inclusion through ongoing initiatives and employee resource groups.
• Community Engagement: Make a difference through our volunteering program.

We live by our core values: impatient to be great, find a way, earn trust every day, fueled by purpose. Be a part of something bigger with us!

GoFundMe is proud to be an equal opportunity employer that actively pursues candidates of diverse backgrounds and experiences.  We do not discriminate on the basis of race, color, religion, ethnicity, nationality or national origin, sex, sexual orientation, gender, gender identity or expression, pregnancy status, marital status, age, medical condition, mental or physical disability, or military or veteran status.

If you require a reasonable accommodation to complete a job application or a job interview or to otherwise participate in the hiring process, please contact us at accommodationrequests@gofundme.com. 

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Depending on your location, the General Data Protection Regulation (GDPR) or certain US privacy laws may regulate the way we manage the data of job applicants. Our full notice outlining how data will be processed as part of the application procedure for applicable locations is available here. By submitting your application, you are agreeing to our use and processing of your data as required. 

Learn more about GoFundMe:

We’re proud to partner with GoFundMe.org, an independent public charity, to extend the reach and impact of our generous community, while helping drive critical social change. You can learn more about GoFundMe.org’s activities and impact in their FY ‘25 annual report.

Our annual “Year in Help” report reflects our community’s impact in advancing our mission of helping people help each other.

For recent company news and announcements, visit our Newsroom.

SEM Associates at Thomas Marketing Services execute and drive integrated search engine marketing strategies across both SEO and PPC for our B2B clients in the industrial and manufacturing space. This role owns the day-to-day execution and strategic optimization of client SEM programs, ensuring strong performance across organic and paid search channels.

Working alongside a team of SEM professionals, Client Services, and Production leadership, SEM Associates help deliver high-quality keyword research, technical SEO, on-page optimization, paid media campaign execution, and performance reporting. This role requires analytical thinking, comfort with marketing technology platforms, and the ability to manage multiple client programs while delivering actionable recommendations.

What you’ll be doing as our SEM Associate

● Execute integrated SEO and PPC strategies for assigned client accounts
● Conduct keyword research to identify high-opportunity keyword groups and optimization strategies
● Monitor client website technical performance and recommend improvements to support SEO best practices
● Implement on-page optimizations, including metadata updates, schema, and content publishing support
● Build, optimize, and maintain Google Ads and LinkedIn Ads campaigns to drive performance KPIs
● Audit existing paid media accounts and identify optimization opportunities
● Monitor web analytics dashboards and reporting tools; deliver regular insights and recommendations
● Assess user flow and conversion performance across SEO and PPC efforts
● Recommend budget, bidding, targeting, and ad creative optimizations to improve paid media results
● Communicate performance insights and strategic recommendations to internal teams and Client Services
● Occasionally join client calls to support strategic discussions and reinforce recommendations
● Stay up-to-date on SEM industry trends, platform updates, and algorithm changes

What you bring to our team

● 2+ years of experience in search marketing or digital marketing
● Working knowledge of both SEO and PPC best practices
● Experience executing Google Ads campaigns and SEO optimization initiatives
● Proficiency in Google Analytics (GA4), Google Tag Manager, Google Search Console, and Looker Studio; certifications preferred
● Strong analytical and written English communication skills
● Ability to manage multiple accounts and priorities in a fast-paced environment
● Curiosity and motivation to stay current with SEM trends and innovations

Some nice-to-have experience

● B2B and/or industrial/manufacturing industry knowledge
● Agency experience
● Experience with SEM tools such as SEMrush, Ahrefs, Screaming Frog, and more
● Experience with HubSpot and WordPress
● Google Ads and/or Google Analytics certifications

Please submit your resume in English.

#LI-Remote

InvGate is a fast-growing SaaS company that develops products for IT management and service automation, used by clients in over 60 countries across industries such as banking, e-commerce, education, and technology.

As we continue to scale, we are looking for a Program / Transformation Manager to help drive cross-functional initiatives that improve how teams plan, coordinate, and execute work across the organization. This role sits at the intersection of Product, Engineering, and other operational teams, helping structure complex initiatives, improve coordination models, and introduce better visibility and metrics to support decision-making. The focus of the role is not on managing individual teams, but on designing and improving the systems, processes, and practices that enable teams to work more effectively together.

You will work closely with stakeholders across multiple areas to ensure strategic initiatives move forward with greater alignment, predictability, and operational efficiency.

Responsibilities:

Lead cross-functional initiatives

• Lead initiatives that involve multiple teams across Product, Engineering, UX, Data & Cloud, Support, Infrastructure, and other areas.
• Define and drive structured work plans including milestones, dependencies, risks, and success criteria.
• Coordinate stakeholders with different priorities and perspectives to ensure alignment and progress.
• Track initiatives and ensure clear visibility of status, risks, and outcomes across teams.

Improve processes and operating models

• Analyze and document existing workflows and coordination models (AS IS) and propose improved ways of working (TO BE).
• Define and help standardize practices related to:
  • planning and prioritization
  • dependency management
  • cross-team coordination
  • initiative tracking
• Identify opportunities to simplify processes and automate operational workflows.
• Support teams in adopting improved ways of working without taking ownership of their day-to-day operations.

Build metrics and decision-support tools

• Partner with teams to define meaningful metrics and indicators for initiative tracking, operational performance, and outcomes.
• Design and maintain dashboards and reporting frameworks that enable better visibility and reduce manual reporting.
• Ensure metrics and visualizations are clear, actionable, and adapted to different audiences.
• Promote consistent data-driven decision making across initiatives.

Enable visibility and continuous improvement

• Surface progress, blockers, deviations, and risks across initiatives.
• Identify patterns of friction or inefficiencies between teams and workflows.
• Propose improvements based on insights and operational learnings.
• Document agreements, working practices, and coordination guidelines.

Requirements:

• Experience in roles such as Program Manager, Project Manager, PMO, Operations Manager, or Transformation Manager.
• Proven track record leading complex, cross-functional initiatives.
• Experience working closely with both technical and business teams.
• Comfortable operating in dynamic environments with ambiguity and evolving priorities.
• Excellent communication skills, with the ability to work with diverse audiences.
• Experience working in software or technology companies.
• Familiarity with project or ticket management tools such as OpenProject, Redmine, or similar.
• Experience with data visualization tools such as Grafana, Looker, or similar.

Our benefits include career development opportunities, English lessons, in -house and external technical training, extended PTO and paternity leave, premium private health insurance, remote work reimbursement, and a fixed bonus for gastronomy-related purchases.

We're looking for a Data Engineer who can handle both the operational side of data infrastructure keeping pipelines healthy, debugging issues, tuning performance and the architectural side of building event-driven systems for AI-powered products. You'll work across different client projects, from supporting existing data stacks to designing new pipelines for real-time behavioral analytics and machine learning workloads.

What are the main responsibilities of this role?

On some projects, you'll be the person keeping the engine running: monitoring ingestion pipelines, triaging alerts, tuning warehouse performance, and making sure scheduled jobs don't break. On others, you'll be designing and building new data infrastructure from scratch  event-driven architectures, real-time signal processing, and data models that power AI agents and ML pipelines. You'll need to be comfortable switching between these modes depending on what the project needs

You're someone who can operate independently once you understand the context. You know how to read logs, trace data issues, and fix things without panicking. You communicate clearly both with technical teammates and with clients who may not speak data fluently. You're equally comfortable stabilizing a legacy system and designing something new. You ask good questions before diving in.

Which skills and experience do we envision for this role?

• +4 years of experience in data engineering
• Advanced SQL and Python proficiency
• Strong experience with cloud data warehouses (Redshift, Snowflake, BigQuery, or similar)
• Hands-on experience with orchestration tools (Airflow, Dagster, Prefect, or similar)
• Experience with ETL/ELT pipeline development and maintenance
• Familiarity with data ingestion tools (Fivetran, Segment, Stitch, or similar)
• Experience working in AWS environments (S3, Lambda, and general cloud infrastructure)
• Experience with pipeline monitoring, alerting, and incident response
• Ability to debug production data issues under pressure

Nice to have:

• Experience with event-driven architectures (EventBridge, Kafka, or similar)
• Familiarity with real-time data processing and streaming
• Experience with PostgreSQL and Supabase
• Exposure to DynamoDB or other NoSQL databases
• Understanding of data modeling for analytics and machine learning
• Experience supporting ML/AI workloads and feature pipelines
• Exposure to BI tools such as Looker, Metabase, or similar

Join our team and enjoy:

• Access to Rootstrap University,Conferences/Certifications, and a Mentorship Program for your professional growth.
• Learning Bonus 
• Opportunities to organize cross-functional initiatives and receive 360 Feedback to improve your skills continuously.
• The flexibility to work remotely or from our offices in Montevideo, Buenos Aires, and Medellín, with a flexible time schedule and Workation program.
• Gym benefits, psychological counseling, and weekly lunch reimbursements with special foods in the offices.
• An Onboarding kit and access to cutting-edge technologies and tools to make your work easier.
• Referrals program bonuses, After offices, Prizes, and special occasions gifts to celebrate your achievements.
• People Care referent to support your well-being and personal development.

We value your well-being and happiness. We grow together!

How we work:

• We offer a flexible and diverse work environment that fosters multicultural talent
• We value autonomy and creativity, We want people to bring ideas to the table and to think as leaders.
• We put our focus on real human connections
• We have a commitment to excellence

At Rootstrap, we help companies launch, grow, and scale their digital products and services. With over 290 global team members, we’ve built solutions for industry leaders like MasterClass, Universal, and Google, as well as for innovative startups and inspired pioneers. Our team takes pride in making an impact that goes beyond the code, earning regular recognition as a Fastest Growing Company and Best B2B Service Provider.

We embrace an AI-first mindset, continuously exploring how artificial intelligence can enhance the way we build products, solve problems, and deliver value. Across all stages of the development process, we encourage our teams to actively leverage AI to boost productivity and drive innovation.

With offices in Uruguay, Argentina, and Colombia, we offer the flexibility to work remotely. Discover more about life at Rootstrap at https://www.rootstrap.com/careers.

All of our candidate searches are covered under Uruguayan Law 19691 (the purpose of this law is to promote the inclusion of people with disabilities).

As part of our Security and Compliance process, all seniority levels and roles must follow the company’s information security policies and secure development practices, and promptly report any suspected security incidents or vulnerabilities.

Senior Data Engineer

Xometry (NASDAQ: XMTR) powers the industries of today and tomorrow by connecting the people with big ideas to the manufacturers who can bring them to life. Xometry’s digital marketplace gives manufacturers the critical resources they need to grow their business while also making it easy for buyers at Fortune 1000 companies to tap into global manufacturing capacity.

We are looking to add a Senior Data Engineer to our Marketplace Services team. The ideal candidate will have a passion for building and maintaining Xometry’s core data pipelines and models used to understand key business performance.  Additionally, this person will help scale data modeling across all global entities. You will play a crucial role in a rapidly growing part of the Xometry business, and everything you do will matter.

What you will do:

• Close collaboration with data scientists, ML engineers, and product teams to translate requirements into scalable, maintainable data solutions
• Build, document, and maintain robust data pipelines using tools like dbt, Dagster, Snowflake, Estuary, and Airbyte.
• Develop deployment and release of functionality through software integration to support devops and CI/CD pipelines
• Design, build, and operate cloud-based (AWS) data infrastructure, optimizing for scale, performance, and cost efficiency as the size of our data grows
• Build frameworks and internal self-service tooling that helps the data team deliver value faster

Requirements:

• Bachelor’s degree required, or relevant experience  
• 5+ years of prior experience as a software engineer or data engineer in a fast-paced, technical, problem-solving environment
•  Proficiency in cloud data warehouse (e.g., Snowflake) best practices, optimization and usage
• Expert in ETL, data modeling and version control, dbt and GitHub preferred
• Develop and implement robust data models that ensure data integrity, consistency, and understandability for both internal and external consumers 
• Knowledge and understanding of AWS data ecosystem
• Experience with data extraction tools (Estuary, Airbyte, etc.)
• Experience with programming language like Python, JavaScript
• Experience with Business Intelligence tools, Looker preferred
• Familiarity with data streaming technologies
• Demonstrated experience with continuous integration/continuous deployment tools
• Partner closely with business, engineers, product managers, and other stakeholders to translate business needs into technical solutions
• Ability to work in a fast paced environment and shift gears quickly
• Must be able to work core aligned hours to US Eastern Time / GMT-5         

#LI-Remote

We are hiring a Quality Manufacturing Engineer to support our rapid customer growth. Do you thrive on working on the edge? Do you want to transform an industry? This job is for you if your true strength is the ability to prioritize and communicate effectively to get you through even the most demanding of situations.

Work in a dynamic environment in which you’ll use your passion, engineering experience, and strong analytical skills to continuously improve customer and Xometry performance from concept to full implementation. The successful candidate will interact with Customers, DFM Engineering, Manufacturing, Quality Control, Case Management, and our Supply Chain (Partner) Network and must have the ability to effectively communicate in a fast paced, multidisciplinary team environment at all levels.

Day-to-Day Responsibilities:

A typical day will consist of, virtually or onsite, leading a myriad of engineering centric activities for internal and external customers.  Utilize your strengths as an advanced product quality planning engineer to improve our Quality Management System and related processes. Using your experience, you will work cross-functionally with internal and external customers teams to improve customer experience by preventing customer complaints and rejections. This person will work closely with engineering and lead a world class organization effectively managing a proactive system following AS9145/ IATF 16949 (ISO TS 16949) requirements through internal and external resources to ensure quick completion.

Qualifications and Experience:

• Minimum of 5 years’ experience in quality engineering
• Strong analytical & mechanical technical experience
• Effective verbal and written English communicator 
• Effective facilitator of cross functional team meetings
• Good time management / project management capabilities
• Ability to read and interpret 2D drawings/specifications
• Strong experience in Advanced Product Quality Planning (APQP)
• Minimum of 2 years of experience working with Customers and Suppliers
• Full understanding of IATF 16949 Automotive standard (or equivalent)

Preferred Qualifications:

• Familiar with Google Workspace, Looker, Salesforce 
• Familiar with regulatory audits

Please submit your resume in English.

#LI-Remote

We are looking for a strategic, highly analytical Senior Data Analyst to join our team as we transition our advertising model to a pay-for-performance structure. In this dual-impact role, you will serve as the critical bridge between Marketing, Sales, Yield, and Product teams.

You will be responsible for the full lifecycle of advertising data—from tracking how we acquire site traffic to optimizing how we monetize that traffic. Your work will directly influence our marketing spend, pricing strategies, and inventory management to maximize overall revenue and growth.

Key Responsibilities

• Performance & Attribution: Develop sophisticated attribution models and funnel reporting across paid and organic channels to determine ROI based on both short- and long-term outcomes.
• Yield Optimization: Build and maintain campaign management data and reporting to improve monetization effectiveness and ad performance.
• Analytics Engineering: Build and maintain robust data models Snowflake (using dbt, Airflow, or similar) that integrate data from Segment, Salesforce, HubSpot, Iterable, and ad servers.
• Strategic Insights: Analyze website traffic, customer conversion/retention, and inventory supply/demand to provide actionable insights for leadership.
• Testing & Experimentation: Analyze and support experiments and A/B tests for product, marketing campaigns and yield strategies, measuring impact and identifying statistically significant trends.
• Dashboarding: Create and manage comprehensive Looker dashboards that align marketing performance with revenue forecasting and inventory health.

Requirements

• Experience: 5+ years of experience with a proven track record of driving strategy in a marketplace, paid marketing, B2B SaaS, or AdTech environment.
• Education: Bachelor’s degree in a quantitative field (Statistics, Economics, Math, CS, Engineering). Master’s degree preferred.
• Technical Skills: Expert-level SQL and Python; hands-on experience with Snowflake and dbt (or similar data stack); Proficiency in Looker for data visualization.
• Domain Familiarity: Knowledge of lead funnels, marketing attribution, and ROAS; Experience with ad servers and configuration platforms (e.g., Kevel, Placements.io); Familiarity with event tracking (Segment, Google Analytics) and CRM data (Salesforce, HubSpot).
• Soft Skills: Exceptional communication skills with the ability to translate complex data into a narrative for non-technical stakeholders; a self-starter mindset with high attention to detail. Comfort with ambiguity, complexity, and identifying the best path forward with light guidance.

Please submit your resume in English.

#LI-Remote

Xometry is seeking a Senior Data Scientist to join our Generative AI team. The candidate will focus on training and fine-tuning Visual Language Models (VLMs) for multimodal document understanding. The ideal candidate will leverage their expertise in machine learning and computer vision to advance Xometry's capabilities in processing and extracting structured data from complex documents and images. This is a 1-year contract.  

Responsibilities:

• Develop, fine-tune, and evaluate Visual Language Models (VLMs) to enhance document understanding, focusing on multimodal data such as text, images, and technical drawings.
• Design and implement data preparation, cleaning, and augmentation processes tailored to multimodal model training, ensuring high-quality data pipelines for VLMs.
• Leverage transfer learning and pre-trained models to accelerate model development and optimize performance on Xometry’s specific data.
• Use cloud resources (e.g., Amazon Web Services) to scale training and fine-tuning processes for VLMs efficiently.
• Collaborate with data engineering and machine learning operations (MLOps) teams to deploy VLMs into production and monitor their performance.
• Interpret model outputs and improve model accuracy and robustness by applying data analysis and visualization tools (such as Python, Jupyter Notebooks, and SQL).
• Experiment with and implement state-of-the-art model architectures, continuously optimizing VLM performance in a fast-paced, iterative environment.
• Work within a team-oriented setting, participating in peer reviews, sharing insights, and contributing to an environment of continuous learning and improvement.

Qualifications:

• A bachelor’s degree is required; an advanced degree (M.S. or PhD) in computer science, data science, machine learning, or a related field is highly preferred.
• 5+ years of experience in data science and machine learning, with expertise in Visual Language Models or multimodal machine learning.
• Strong experience with machine learning libraries and frameworks such as PyTorch, TensorFlow, or Hugging Face.
• Proficiency in Python, including libraries like pandas, numpy, and scikit-learn.
• Solid understanding of deep learning techniques and experience with transfer learning, fine-tuning, and model evaluation.
• Experience with cloud platforms (e.g., AWS SageMaker) for model training and deployment.
• Familiarity with data processing and visualization tools (SQL, Jupyter Notebooks, Looker, etc.) and basic database knowledge (e.g., Snowflake, MongoDB).
• Excellent analytical and problem-solving skills, with a strong ability to work in an environment that values teamwork, innovation, and continuous learning.
• Familiarity with computer vision tasks and frameworks, as well as experience with multimodal data, is a plus.

#LI-Remote

Xometry is seeking a Senior Data Scientist to join our Data Science team. This person will drive data science initiatives, provide technical guidance when needed, and leverage data to solve complex business challenges. The ideal candidate has a deep understanding of data science methodologies, strong statistical expertise, and proven experience delivering impactful data solutions in a dynamic environment. This is a 1-year contract with the potential for extension.

Responsibilities:

• Use data analysis, visualization, and modeling tools (e.g., Looker, Jupyter Notebooks, Python, Pandas) to drive data-driven business strategies, with a focus on cost prediction for a two-sided marketplace.
• Design and execute data science projects, including hypothesis development, statistical analysis, and experimentation (e.g., A/B testing) to answer key business questions and validate assumptions.
• Collaborate with cross-functional teams to translate business needs into data science solutions and ensure alignment with Xometry’s objectives.
• Analyze existing algorithms for accuracy and performance, provide recommendations for optimization, and update production code as necessary.
• Query and extract data from databases (e.g., Snowflake, MongoDB) to support analysis and model development.
• Implement robust data science methodologies, emphasizing best practices in code reproducibility, version control, and model deployment.
• Continuously iterate and improve solutions within a fast-paced, agile environment, addressing challenges with innovative, data-driven approaches.
• Foster a culture of collaboration, teamwork, and continuous learning, encouraging knowledge sharing and skill development within the team.

Qualifications:

• A bachelor’s degree is required; an advanced degree (M.S. or PhD) in applied math, computer science, data science, engineering, or a related field is highly preferred.
• 5+ years of experience in data science
• Strong expertise in SQL and Python (numpy, scipy, pandas, and scikit-learn preferred) and experience with API integrations using Python.
• Proficient in applied statistics, including knowledge of probability distributions, confidence intervals, statistical tests (e.g., t-tests, ANOVA, Chi-Square), and power analysis.
• Experience with pricing algorithms and technology-driven product development.
• Knowledge of scientific software principles, including version control, code reproducibility, and deployment practices.
• Demonstrated ability to work in a fast-paced, ambiguous environment and manage shifting priorities effectively.
• Must be able to work core hours aligned with US Eastern Time (GMT-5).
• Strong communication and interpersonal skills to collaborate with global teams and articulate complex technical information to non-technical stakeholders.

#LI-Remote