Job Title: Senior Data Analyst

Key Skills: SQL, Snowflake, Data Analysis, Excel, Google Sheets, Tableau, Power BI, Looker, Data Visualization, Data Quality, AI/ML Tools

Experience: +5 YOE.

Location:  Costa Rica

Mode: Remote

We at Coforge are hiring Position (#21027) with the following skill set. 

Key Responsibilities 

• Analyze large and complex datasets to generate actionable business insights.
  
• Develop and optimize advanced SQL queries, joins, and data transformations.
  
• Work with cloud data warehouses such as Snowflake to manage and process data efficiently.
  
• Create dashboards and reports using data visualization tools like Tableau, Power BI, or Looker.
  
• Collaborate with cross-functional teams and stakeholders to understand business requirements and translate them into analytical solutions.
  
• Utilize AI or machine learning tools to enhance data analysis and identify trends or patterns.
  

Required Skills & Qualifications 

• Advanced proficiency in SQL, including complex queries, joins, and data transformations.
• Hands-on experience with Snowflake or similar cloud data warehouse platforms.
• Strong experience with pivot tables and data analysis using Excel or Google Sheets.
• Experience troubleshooting and resolving data quality and integrity issues.
• Knowledge of AI or machine learning tools for large-scale data analysis.
• Proficiency with data visualization tools such as Tableau, Power BI, or Looker.
• Strong analytical thinking and problem-solving skills.
• Excellent communication and presentation skills.
• Bachelor’s degree in Data Analytics, Computer Science, Statistics, or related fields (or equivalent experience).

Preferred Skills: 

• Experience working in Agile environments.
  
• Familiarity with Python or R for data analysis.
  
• Knowledge of ETL/ELT processes and data pipelines.
  
• Experience working with business intelligence and reporting frameworks.
  
• Exposure to cloud platforms such as AWS, Azure, or GCP.

Posted On: 8-May-26 

At Coforge, we hire professionals based solely on their skills and do not discriminate based on age, disability, religion, gender, sexual orientation, socioeconomic status, or nationality.  

***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

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

Who We Are

Konrad is a next-generation digital consultancy. We are dedicated to solving complex business problems for our global clients with creative and forward-thinking solutions. Our employees enjoy a culture built on innovation and a commitment to creating best-in-class digital products in use by hundreds of millions of consumers around the world. We hire exceptionally smart, analytical, and hard-working people who are lifelong learners.

About The Role

As a Data Analyst, you are an early-to-mid career analytics professional with a strong foundation in data analysis and a desire to grow your technical and consulting skill set. You support the delivery of analytics and reporting solutions that help clients better understand their data and make informed decisions. You are comfortable working with structured datasets and are eager to deepen your experience in data modeling, visualization, and business analysis.

You will work closely with senior analysts, data scientists, engineers, and business stakeholders across a variety of client engagements. With guidance and mentorship, you will contribute to analytics initiatives including dashboarding, exploratory analysis, KPI tracking, and data quality validation. You are curious, detail-oriented, and motivated to continuously improve your analytical skills.

What You’ll Do

• Support client and internal teams in understanding business questions and translating them into analytical requirements
• Analyze data to identify trends, patterns, and insights under the guidance of senior team members
  Build and maintain dashboards and recurring reports to track key metrics and performance indicators
• Assist in documenting metrics, definitions, and analytics processes
• Collaborate with data engineers and other analysts to support data modeling and reporting layers
  Communicate insights clearly through visualizations, summaries, and presentations
• Proactively identify opportunities to improve reporting, data quality, and analytical workflows
  
  

Qualifications

• Minimum 2+ years of experience in a data analyst, business intelligence, or analytics-focused role
• Programming experience in Python, Bash scripting, R or related language
• Working proficiency in SQL and experience querying cloud data warehouses (e.g., Snowflake, Databricks, Redshift, BigQuery)
• Experience with Business Intelligence and data visualization tools (e.g., Looker, Tableau, Power BI)
• Foundational understanding of data modeling and analytics best practices
• Experience defining and tracking KPIs and metrics
• A/B testing and causal analysis
• Strong analytical and problem-solving skills with attention to detail
• Clear written and verbal communication skills
  Ability to work collaboratively in cross-functional and consulting-style environments
• Interest in learning about data governance, privacy, and security best practices

Perks and Benefits

• Mentorship Program
• Comprehensive Health & Wellness Benefits Package
• Parental Leave Program
• Flexible Working Hours
• Work from Home Flexibility
• Service Recognition Programs
• Socials, Outings & Retreats
• Culture of Learning & Development

#LI-Hybrid

Kepler executes engineered marketing, where every message and ad delivered helps create a more personalized and productive relationship between brands and their consumers. We do this by acting as clients’ agency of record, as their in-house team, or some hybrid of the two – and by harnessing data and technology across all paid digital media and data-driven CRM channels.

Kepler prides itself on being a great place to work. In fact, we’re proud to share that AdAge recognized Kepler among the Best Place to Work in 2022, validating our investment in our team and our clients.

• We're transparent with our employees. You'll hear updates on company financials, how we're performing against bonus goals, and how we're responding to challenges we face. 
• We're growing. For you, that means unparalleled growth opportunities and a role in shaping the direction of the company. 
• We're fun. You'll work with and learn from the smartest people in the industry and have a blast doing it.  

Summary:

As a Senior Data Strategy & Analytics Analyst, you will play a key role in ensuring high-quality data delivery, improving reporting frameworks, and supporting deeper analysis to inform internal decision-making. This role builds on strong data foundations and introduces more advanced analytical thinking, while maintaining a focus on scalable execution and operational excellence.

You will work closely with internal and cross-functional teams to enhance data processes, support performance analysis, and contribute to more efficient and data-driven decision-making across accounts.

What You Will Do:

• Manage digital media, third party, and client data across multiple clients.
• Lead data ingestion, QA, transformation, and validation processes for complex datasets.
• Design, build, and maintain scalable dashboards and reporting solutions (e.g., Tableau, Datorama, Looker, Power BI) aligned with business needs.
• Identify, troubleshoot, and proactively resolve data discrepancies, tracking issues, and reporting gaps.
• Support the analysis of performance trends, helping internal teams better understand drivers and areas of opportunity.
• Contribute to deeper analyses and structured approaches that inform optimization and decision-making.
• Partner with cross-functional teams to understand data needs and deliver clear, actionable outputs.
• Collaborate closely with US-based leads to gain exposure to client needs, business context, and performance drivers.
  Contribute to automation of reporting and data workflows to improve efficiency and scalability.
• Support improvements in data processes and help identify opportunities to streamline operations.
• Develop an understanding of how data flows across systems and support data integration efforts.
  Collaborate with technical teams to support data-related initiatives and troubleshooting.
• Help standardize data workflows, documentation, and best practices across accounts.
  Gain exposure to more advanced methodologies (e.g., testing approaches, structured analyses) as part of ongoing development.
• Develop strong familiarity with digital marketing platforms, data structures, and internal tools.

Must Have:

• 3+ years of experience in data, analytics, or digital marketing environments.
• Strong analytical and problem-solving skills, with the ability to work through ambiguous or undefined challenges.
• Advanced proficiency in Tableau, SQL and strong Excel or GSheets skills (mandatory).
• Experience working with large datasets and multiple data sources.
• Experience building dashboards or reporting solutions.
• Ability to manage multiple priorities and work independently.
• Strong communication skills in English (B2+/C1 level).
• High attention to detail and strong sense of ownership.
• Exposure to AI tools or a strong willingness to develop skills in AI-driven solutions and automation.
• Ability to work in a fast-paced, team-oriented environment.
• Bachelor Degree in Data Analytics, Computer Science or related fields. 

Nice to Have:

• Experience with other data visualization tools (e.g., Datorama, Looker, Power BI).
• Exposure to digital marketing or media analytics.
• Familiarity with statistical concepts, testing methodologies, or performance analysis frameworks.
• Exposure to scripting or automation tools (e.g., Python).
• Interest in more technical aspects of data (e.g., data pipelines, data architecture).
• Experience supporting cross-functional teams with data-driven insights.

Benefits & Perks

• Competitive health and dental benefits.
• Tuition reimbursement and training stipend.
• Hybrid Office/WFH Schedules: office supplies, internet, and phone stipend.
• “Work from Anywhere” 4 weeks per year.
• Stocked kitchen, and other team outings.
• Collaborative and friendly work space, easily commutable location.
• Volunteering & altruism opportunities.
• Team building lunches and events, and company celebrations: Summer, Halloween, Holidays, and many multicultural holidays recognized/celebrated.
• If something is important to you that’s not listed here, let us know!

Career & Development Focus

• Ongoing learning and development for education opportunities such as webinars, books, classes, relevant conferences and events.
• Opportunities to pursue business related side projects and Hackathons.
• Environment of learning from peers, including 30+ class training program, Kepler University, powered by Center of Excellence and Tiger Team subject matter expert groups.
• Opportunity to work with cutting edge technology and industry thought leaders.
• Kepler Rocket Mentorship Program: beneficial for the development of both mentors and mentees.

**All applications must include a Resume & Cover Letter in English to be considered. 

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ComplyAdvantage is currently hiring for a Digital Customer Success Associate to join our Customer Success team. This position will sit remote out of Costa Rica.

What you will be doing:

You'll be charged with helping retain and grow a large portfolio of customers through a data-driven, tech-led approach. You will function as an executor of one-to-many communications, leveraging AI and automation to drive value at scale, while also stepping in for short, high-impact 1:1 sessions at critical inflection points in the customer’s journey (e.g., unlocking growth potential, mitigating churn risk). You will help our customers get the best results by balancing automated campaigns with precise, targeted human intervention when it matters most. You will work alongside senior CS, CX and CS-Ops leaders to help you master the art of Digital Customer Success.

As a Digital Customer Success Associate, you will:

• Own a large portfolio of customers, managing omni-channel campaigns via Gainsight and Pendo to improve success, adoption metrics, and retention.
• Drive customer retention and growth of your customer portfolio
• Utilise various tools to automate, manage, and track the success of various campaigns
• Monitor, identify and act on specific customer signals (e.g. usage drop, usage growth)  to deliver targeted 1:1 consultations
• Leverage data to find new opportunities to implement and prioritise projects and campaigns which help drive awareness, time to value, and retention
• Collaborate closely with CSMs, CS Ops, Product & Engineering Teams & Commercial Sales Organisation to align on analysing and improving customer health, whilst ensuring the business goals are being met through ongoing campaigns
• Support/drive new feature rollouts to the customer portfolio, including running potential cross-customer webinars 
• Function as the voice of the customer and provide internal feedback on how ComplyAdvantage can better serve our customers
• Develop a deep understanding of ComplyAdvantage’s technology to help deliver training and best practice presentations, webinars and office hours

As a Digital Customer Success Associate, you will have:

• Strong team spirit and able to coordinate across teams and build consensus
• A technical curiosity - you may only be mildly familiar with APIs, and MCPs but you have a desire to learn how these things work
• Strong process and project management skills, won't drop any balls!
• Excellent communication skills with experience in writing and presenting educational content to customers
• A data-first mindset, enabling data-driven decision making, and the ability to uncover insights and trends in customer data
• This position requires a B2 (Upper Intermediate) level of English proficiency as the candidate will interact daily with North American clients and documentation.

Nice to haves:

• Experience in a B2B SaaS or FinTech/RegTech environment.
• Experience using AI to build automations
• Experience with Customer Success Software (e.g. Gainsight, Pendo)
• Experience working with business intelligence platforms (e.g. Tableau, Looker)
• Experience working with APIs and Postman