WPP is the creative transformation company. We use the power of creativity to build better futures for our people, planet, clients and communities. For more information, visit wpp.com.

WPP Media is WPP’s global media collective. In a world where media is everywhere and in everything, we bring the best platform, people, and partners together to create limitless opportunities for growth. For more information, visit wppmedia.com

At WPP Media, we believe in the power of our culture and our people. It’s what elevates us to deliver exceptional experiences for both our clients and each other. In this role it will be critical to embrace WPP & WPP Media’s shared core values:

• Be Extraordinary by Leading Collectively to Inspire transformational Creativity.
• Create an Open environment by Balancing People and Client Experiences by Cultivating Trust.
• Lead Optimistically by Championing Growth and Development to Mobilize the Enterprise.

Role Summary and Impact: 

As part of the Global Operations Centre (GOC), you will work closely with teams across the United States, Europe, and Asia to deliver high-impact solutions in a collaborative, multicultural environment. We are looking for a Manager Performance Anallytics who will:

Key Responsibilities: 

• Execute and continuously advance media measurement, including setup and reporting for campaigns, ROI analysis, forecasting, attribution, and evaluation of campaign effectiveness, adhering to WPP's best practices and methodologies.
• Develop data-driven insights and actions that translate analytics into clear business narratives and recommendations, aligning with client business goals while maintaining WPP's analytical rigor.
• Collaborate closely with internal teams and external partners on measurement projects, custom studies, and KPI development.
• Support the development, automation, and evangelization of data inputs/outputs and dashboards tailored for client needs, leveraging WPP's tooling and expertise where appropriate.
• Stay current on trends in media measurement, analytics tools, and industry best practices, actively bringing new approaches to the team.
• Manage relationships with agencies and vendors as needed, under the guidance of WPP management and in close alignment with business objectives.
• Partner with WPP's Data Engineering for data and dashboard support, and with WPP's Data Science for applying advanced methods to client challenges. This role does not own data pipeline or model development, but facilitates these efforts for the client.

Skills and Experience:

• 3–5 years of experience in media analytics, market research, or related fields, ideally within an agency or consultancy environment.
• Bachelor's degree required; advanced degree a plus.
• Proficiency with data visualization tools (Power BI, Tableau), Excel, and basic coding (SQL, Python preferred).
• Experience with media measurement, campaign analytics, and data storytelling, with a proven ability to translate complex data into actionable client recommendations.
• Strong analytical, problem-solving, storytelling, and communication skills, adaptable to both agency and client environments.
• Ability to work collaboratively, manage multiple projects simultaneously, and operate effectively within WPP team structures while adhering to agency processes.
• Prior usage of major media platforms such as Google, Meta, TikTok, and others, with experience leveraging data from these channels for campaign reporting and optimization for large advertisers.
• Awareness of digital marketing measurement tools (e.g., MMM, Attribution, Brand Health, Lift/Incrementality Testing, Data Clean Rooms).

Searching for a Backend Engineer long-term contractor to work from home in Latam! Please submit your CV/Resumé in English, thank you!

Do you live and breathe backend development, with languages like Python and SQL as your trusty companions? Are you energized by the challenge of architecting robust and scalable systems, seamlessly integrating APIs and crafting elegant solutions? If you find joy in building the backbone of applications that power our digital world, then you have the perfect ingredients to thrive as our exceptional Backend Engineer, shaping the future of our technology stack!

Responsibilities

• Designing and implementing server-side applications using Python
• Writing complex SQL queries using Trino to gather analytics data from multiple sources
• Developing and maintaining microservices for our platform
• Designing and optimizing databases, both relational and non-relational
• Collaborating with cross-functional teams to integrate APIs and ensure smooth functionality
• Writing efficient and reusable code, adhering to best practices and coding standards
• Performing code reviews to ensure high-quality codebase
• Developing comprehensive end-to-end integration tests to ensure systems function as intended
• Troubleshooting and debugging issues in backend systems
• Staying up to date with the latest technologies and industry trends to drive continuous improvement

Qualifications

• English language proficiency required
• BS degree in Computer Science or a similar technical area of study, or equivalent practical experience
• 2-4 years of experience as a software engineer/developer, with a focus on backend development
• Proficiency in Python
• Strong experience with databases, SQL, and database optimization techniques
• Experience working with microservices architecture
• Familiarity with API design principles and RESTful services
• Solid understanding of software development lifecycle and Agile methodologies
• Excellent problem-solving and troubleshooting skills
• Strong collaboration and communication abilities, with the capability to work in cross-functional teams

Nice to Have

• Advanced degree in Computer Science or related field
• Experience/certification with cloud platforms like Amazon Web Services or Google Cloud Platform
• Familiarity with containerization technologies like Docker
• Knowledge of message queues and streaming platforms, such as Apache Kafka
• Understanding of caching mechanisms and performance optimization techniques
• Experience with performance testing and profiling tools
• Familiarity with machine learning concepts and frameworks

You’ll Grow at Linqia

Influencer marketing is chaotic. Linqia brings the calm in the chaos. We’re a leader in the influencer marketing industry. We're a mature and growing tech start-up, having experienced 100% year-over-year growth and break-even. We partner with the world's largest brands including General Motors, Bayer, Kimberly-Clark, Unilever, Albertsons, McDonalds, and Walmart to build compelling and effective influencer marketing campaigns. Our AI-driven platform and team of experts are leading the transformation of influencer marketing and leveraging creator content. We combine the science and accountability of online media with award-winning creativity to deliver the greatest return on investment and results for our clients’ paid, owned, and earned media.

We value intelligence, recognize talent and have instilled a culture that supports career development and growth for our employees. We thrive on innovation and accountability, with a customer first attitude that adds true value to everything we touch. Our team members are smart, hard-working, have integrity and love to have fun as we play to win.

This position description is intended to describe the duties most frequently performed by an individual in this position. Linqia is an equal opportunity employer supporting workforce diversity. We actively encourage women, people with disabilities, veterans, underrepresented minorities, and LGBTQ+ people to apply. We do not discriminate on the basis of race, religion, color, national origin, gender, gender identity or expression, sexual orientation, age, marital status, veteran status, or disability status.

Headhunters and recruitment agencies may not submit resumes or candidates through this Web site or directly to employees. Linqia does not accept unsolicited headhunter and agency resumes and will not pay fees to any third-party agency or company that does not have a signed agreement with us.

Important Information

Experience: +6 years

Job Mode: Full-time

Work Mode: Remote

ID: OPP00051-1

Responsibilities and Duties

• Digest requirement from product team and lead the elaboration of high level design for high availability, performance and scalability features for cloud systems; 
• Raise and discuss trade-offs of different design approaches elaborating detailed design documents; 
• Implement solution from coding to testing to production deployment support; 
• Follow agile processes and participate actively in all development phases.

Essential Skills 

• Experience with Golang (Go) programming language;  
• Extensive experience with modeling, producing and consuming web services based APIs (RESTful or SOAP based); 
• Experience on Cloud Service Orchestration; 
• Experience with Cloud Development; 
• Experience with backend systems development; 
• Proven proficiency with object-oriented software development; 
• Proven experience on complex architectural design for cloud-based applications; 
• Design Patterns; 
• Experience with SQL and NoSQL databases such as PostgreSQL, SQL Server, Oracle, MongoDB, Cassandra. 

Highly Desirable Skills 

• Competent in one or more programming language(s): Go (Golang), Python, Node, C#, C and C++, Java; 
• Knowledge on testing (Unit Test, Feature Test, Integration); 
• Knowledge of cloud platforms and technologies including Google Cloud, Aws, Azure; 
• Experience working with Kubernetes and OpenShift; 
• Exposure to and/or experience with Serverless applications; 
• An understanding of software design patterns, pipeline automation and software testing principles and methodologies; 
• Familiar with designing, coding, deploying and debugging microservices applications; 
• Strong Scripting and automation skills; 
• Passionate about solving problems in code; 
• Is proactive and easily trouble shoots and resolves issues relating to customer service, product, process and tools; 
• Comfortable with Linux Environment and shell scripting.

About Encora

Encora is the preferred digital engineering and modernization partner of some of the world’s leading enterprises and digital native companies. With over 9,000 experts in 47+ offices and innovation labs worldwide, Encora’s technology practices include Product Engineering & Development, Cloud Services, Quality Engineering, DevSecOps, Data & Analytics, Digital Experience, Cybersecurity, and AI & LLM Engineering.

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

Job Summary

The Senior Analyst, Compensation and Analytics is responsible for supporting the design, analysis, and administration of compensation and incentive programs across the organization. This role plays a critical part in ensuring compensation plans are data-driven, competitive, equitable, and aligned with business performance—particularly Annual Recurring Revenue (ARR). The position partners closely with HR, Finance, and Sales to support annual operating planning, compensation forecasting, and performance-based payout analysis, enabling informed decision-making and effective compensation governance.

Roles & Responsibilities

• Perform advanced compensation analyses, including statistical analysis and data mining, to identify trends, risks, and opportunities
• Track, analyze, and report compensation payouts relative to plan performance and ARR attainment
• Develop, maintain, and optimize relational data models to support comprehensive compensation analytics and reporting
• Prepare regular and ad-hoc compensation reports and dashboards using Excel (Power Query, Power Pivot) and Power BI for senior leadership
• Support annual operating planning processes related to sales compensation design and modeling
• Conduct market benchmarking and salary survey analysis to ensure internal compensation remains competitive and market-aligned
• Provide data-driven recommendations on compensation structures, incentive plans, and program enhancements
• Assist in the design, evaluation, and administration of compensation and incentive programs
• Support the development and maintenance of compensation policies, procedures, and governance standards
• Ensure compliance with applicable legal and regulatory requirements and support compensation-related audits
• Partner cross-functionally with HR, Finance, and Sales on budgeting, forecasting, and compensation strategy initiatives
• Develop clear communication materials and support training for managers on compensation programs and changes
• Serve as a subject-matter resource for compensation-related inquiries from employees and managers

Required Qualifications

• Bachelor’s degree in Analytics, Finance, Business Administration, Statistics, or a related field
• Minimum of 3 years of experience in compensation analysis, data analytics, or a related analytical role
• Experience tracking and reporting compensation payouts against performance metrics, including ARR
• Advanced proficiency in Microsoft Excel, including Power Query, Power Pivot, and relational data modeling
• Experience using Power BI or similar visualization tools for executive-level reporting
• Working knowledge of statistical analysis tools (R, Python, SAS) and SQL for large data sets
• Strong understanding of compensation principles, incentive design, and market benchmarking practices
• Ability to analyze complex datasets and translate findings into actionable business recommendations
• Strong organizational skills with the ability to manage multiple priorities and projects simultaneously
• High level of integrity and confidentiality when handling sensitive compensation data

Preferred Qualifications

• Experience supporting sales compensation programs and incentive plan design in a SaaS or ARR-driven environment
• Familiarity with HRIS and compensation management systems
• Exposure to compensation audits, policy development, or regulatory compliance activities
• Demonstrated experience supporting cross-functional initiatives with Finance, HR, and Sales leadership
• Strong presentation and communication skills with experience delivering insights to senior stakeholders
• Demonstrated adaptability and willingness to learn new analytical tools and technologies

Important Information 

Location: Brazil
Job Mode: Full-time 
Work Mode: Work from home

Responsibilities and Duties

• Digest requirement from product team and lead the elaboration of high level design for high availability, performance and scalability features for cloud systems; 
• Raise and discuss trade-offs of different design approaches elaborating detailed design documents; 
• Implement solution from coding to testing to production deployment support; 
• Follow agile processes and participate actively in all development phases.

Essential Skills 

• Experience with Golang (Go) programming language;  
• Extensive experience with modeling, producing and consuming web services based APIs (RESTful or SOAP based); 
• Experience on Cloud Service Orchestration; 
• Experience with Cloud Development; 
• Experience with backend systems development; 
• Proven proficiency with object-oriented software development; 
• Proven experience on complex architectural design for cloud-based applications; 
• Design Patterns; 
• Experience with SQL and NoSQL databases such as PostgreSQL, SQL Server, Oracle, MongoDB, Cassandra. 
  

Highly Desirable Skills 

• Competent in one or more programming language(s): Go (Golang), Python, Node, C#, C and C++, Java; 
• Knowledge on testing (Unit Test, Feature Test, Integration); 
• Knowledge of cloud platforms and technologies including Google Cloud, Aws, Azure; 
• Experience working with Kubernetes and OpenShift; 
• Exposure to and/or experience with Serverless applications; 
• An understanding of software design patterns, pipeline automation and software testing principles and methodologies; 
• Familiar with designing, coding, deploying and debugging microservices applications; 
• Strong Scripting and automation skills; 
• Passionate about solving problems in code; 
• Is proactive and easily trouble shoots and resolves issues relating to customer service, product, process and tools; 
• Comfortable with Linux Environment and shell scripting.

About Encora

Encora is the preferred digital engineering and modernization partner of some of the world’s leading enterprises and digital native companies. With over 9,000 experts in 47+ offices and innovation labs worldwide, Encora’s technology practices include Product Engineering & Development, Cloud Services, Quality Engineering, DevSecOps, Data & Analytics, Digital Experience, Cybersecurity, and AI & LLM Engineering.

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

WPP is the creative transformation company. We use the power of creativity to build better futures for our people, planet, clients and communities. For more information, visit wpp.com.

WPP Media is WPP’s global media collective. In a world where media is everywhere and in everything, we bring the best platform, people, and partners together to create limitless opportunities for growth. For more information, visit wppmedia.com

At WPP Media, we believe in the power of our culture and our people. It’s what elevates us to deliver exceptional experiences for both our clients and each other. In this role it will be critical to embrace WPP & WPP Media’s shared core values:

• Be Extraordinary by Leading Collectively to Inspire transformational Creativity.
• Create an Open environment by Balancing People and Client Experiences by Cultivating Trust.
• Lead Optimistically by Championing Growth and Development to Mobilize the Enterprise.

Role Summary and Impact

As part of the Global Operations Centre (GOC), you will work closely with teams across the United States, Europe, and Asia to deliver high-impact solutions in a collaborative, multicultural environment. We are looking for a Data Engineer Manager who will:

• Collaborate closely with a team of data engineers, developers, and UX designers to create and optimize data pipelines and workflows supporting media performance reporting.
• Manage the design, build, and maintenance phases of client reporting projects.
• Work with Business Intelligence/Data Operations to define and document comprehensive reporting and visualization requirements.
• Ensure high data quality and provide ongoing support and maintenance for existing data workspaces.
• Deploy new client teams to cloud data solutions, offering guidance and support throughout the onboarding process.
• Define clear QA guidelines and automate current QA processes to enhance efficiency.
• With the support of the Associate Director, develop innovative tools, processes, and best practices to achieve workflow efficiencies and drive value for both client teams and clients.
• Act as the subject matter expert for all questions and projects related to data quality, BI tools, and business rules, ensuring that best practices are consistently followed across all initiatives.
• Facilitate effective communication and ensure task progression through regular status meetings and working sessions; proactively identify and resolve project roadblocks and issues.
• Efficiently track and manage a high volume of tasks across multiple stakeholders and projects.
• Build positive and collaborative relationships with internal teams, effectively communicating roles, responsibilities, and expectations.

Skills and Experience

If this opportunity looks right for you, we are looking for candidates who have:

Education & Experience:

• Bachelor's or advanced degree in Statistics, Economics, Business, Mathematics, Computer Science, or a related scientific field is preferred.
• Minimum of 4-6 years of experience in data governance processes within a data warehousing, ETL, and business intelligence environment.
• Experience with the full development life cycle of an application or reporting solution – from design through testing and deployment.
• Experience in a media environment (digital investment, analytics, or ad operations) is preferred; an understanding of the media landscape is beneficial.
• Experience and understanding of processes across multiple media channels (digital, search, social, offline, etc.) and handling diverse datasets (paid media, owned, etc.).

Technical Skills:

• Advanced knowledge of databases and data warehouses is crucial, including SQL (most important), MySQL, PostgreSQL, Redshift, Snowflake, etc.
• Advanced knowledge of one or more programming languages is essential, with Python being highly valued.
• Strong knowledge of cloud platforms such as Microsoft Azure, GCP, or AWS (familiarity with any major cloud provider is key).
• Knowledge of data engineering platforms such as Databricks.
• Familiarity with project/product management tools like Jira, Confluence, Smartsheets, Azure DevOps/VSTS.
• Familiarity with business intelligence tools such as Tableau, PowerBI, etc.
• Experience with advertising campaign management/buying platforms (e.g., Sizmek, GCM, Flashtalking, Moat, DV, IAS, Mediaocean, Media Tools, Nielsen, ComScore, Facebook, Twitter, Pinterest, Snapchat, 4C, Brand Networks, YouTube, Google Ads, Bing, Kenshoo, SA360, DV360, Google Analytics, Adobe Analytics) is highly beneficial.

Soft Skills:

• Demonstrates strong attention to detail.
• Excellent verbal and written communication skills.
• Exceptional organizational skills, multi-tasking capabilities, and detail-oriented approach.
• Ability to foster collaborative relationships with other cross-functional teams.
• Ability to manage and prioritize competing projects and deliverables effectively.
• Proactive in elevating and resolving project roadblocks and issues.

Life at WPP Media & Benefits

Our passion for shaping the next era of media includes investing in our employees to help them do their best work, and we’re just as committed to employee growth as we are to responsible media investment. WPP Media employees can tap into the global WPP Media & WPP networks to pursue their passions, grow their networks, and learn at the cutting edge of marketing and advertising. We have a variety of employee resource groups and host frequent in-office events showcasing team wins, sharing thought leadership, and celebrating holidays and milestone events. Our benefits include access to internal learning platforms, certifications, and training sessions, life insurance, wellness programs, significant paid time off, preferential partner discounts, employee mental health awareness day, and more. 

WPP Media is an equal opportunity employer and considers applicants for all positions without discrimination or regard to particular characteristics. We are committed to fostering a culture of respect in which everyone feels they belong and has the same opportunities to progress in their careers.We believe the best work happens when we're together, fostering creativity, collaboration, and connection. If you require accommodations or flexibility, please discuss this with the hiring team during the interview process.

This position is available in a Remote or Hybrid Work Modality. The candidate must perform their work from any location within Mexico. Only Mexican nationals residing in the country or foreign nationals with a valid work permit may apply. Remote work from abroad is not permitted under any circumstances.

Please read our Privacy Notice (https://www.wppmedia.com/pages/privacy-policy ) for more information on how we process the information you provide.

While we appreciate all applications received, only those candidates selected for an interview will be contacted. 

About WPP Media 

WPP is the creative transformation company. We use the power of creativity to build better futures for our people, planet, clients and communities. For more information, visit wpp.com. 

WPP Media is WPP’s global media collective. In a world where media is everywhere and in everything, we bring the best platform, people, and partners together to create limitless opportunities for growth. For more information, visit wppmedia.com 

At WPP Media, we believe in the power of our culture and our people. It’s what elevates us to deliver exceptional experiences for both our clients and each other. In this role it will be critical to embrace WPP & WPP Media’s shared core values: 

• Be Extraordinary by Leading Collectively to Inspire transformational Creativity. 

• Create an Open environment by Balancing People and Client Experiences by Cultivating Trust. 

• Lead Optimistically by Championing Growth and Development to Mobilize the Enterprise.

Role Context: 

We are looking for a Business Intelligence and Data Visualization specialist who will build assist in the development and maintenance of the reporting infrastructure to help stakeholders gain insights in their advertising campaigns. In this role, he/she will be responsible for retrieving, compiling, and transforming data to create the intelligence layer leading to analysis and optimization of media investments.

Core Responsibilities:

• Manage the QA of data between media platforms and reporting outputs using tools such as Alteryx, SQL, and/or Excel
• Manage and identify data gaps that require manual entry, escalate to investment teams, and collect, QA, and process returned manual data. This includes initiating the data collection process, communicating any data QA issues, and working with teams to resolve those issues.
• Monitor data feeds for gaps or failures and action where necessary to resolve failures
• Build and maintain automated data QA workflows using Alteryx
• Update Tableau dashboards based on new/additional requests
• Build and maintain taxonomy generators and enforcers (via Excel, Google Sheets, and Alteryx) to assist in the adherence of taxonomy across all media channels.
• Setup and maintain automated data feeds/pipelines through API (Adverity), FTP, and/or scheduled email report)
• Troubleshoot any data discrepancies or issues that might occur,
• Fulfill ad hoc data pulls required for client deliverables,
• Manage the QA of data provisioning to MMM vendors or for client data warehouses.

Required Skills / Experience:

• Bachelor’s degree in Marketing, Advertising, Economics, Computer Science, Information Systems, Business Analytics or related field with 1 – 3 years of work experience in data management, data visualization and data analytics preferably in a marketing and/or media agency.
• Experience with building dashboards in Tableau is required; knowledge of visual techniques for data analysis and presentation is a plus,
• Experience with Alteryx for business logic design required
• Experience working in Cloud environment (Azure, GCP),
• Experience working with SQL required, experience with Python a plus,
• Experience working with digital data from ad serving platforms (e.g., Google Campaign Manager, Other ad servers), campaign planning tools (e.g. Prisma, MediaOcean), website analytics software (e.g. Adobe Analytics, Google Analytics), paid search engine marketing data sources (e.g. Adwords, Marin, …) and others is strongly preferred,
• Strong speaking and written professional communication skills,
• Strong analytical, critical thinking, and problem-solving skills,
• The ability to thrive in a fast-paced and deadline-driven environment,
• Strategic Thinker & Doer,
• Curious and excited to learn,
• High sense of accountability and ownership,
• Collaborative with a partnership mindset.

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

Linqia is the leader in the influencer marketing industry. We’re a growing tech start-up, having experienced 100% year-over-year growth and break-even. At Linqia, we partner with the world’s largest brands including Danone, AB InBev, Kimberly-Clark, Unilever, and Walmart to build compelling and effective influencer marketing campaigns. Our AI-driven platform and team of experts are leading the transformation of influencer marketing.

We value intelligence, recognize talent and have instilled a culture that supports career development and growth for our employees. We thrive on innovation and accountability, with a customer first attitude that adds true value to everything we touch. Our team members are smart, hard-working, have integrity and love to have fun as we play to win.

SOFTWARE AND INFRASTRUCTURE DEVOPS ENGINEER

Experience level  3+ YoE supporting production saas in AWS 

Location Anywhere in LATAM preferably in Colombia

Employment type Full‑time contract

ABOUT THE ROLE

Build out  a cloud‑native team that owns the entire software delivery life cycle on Amazon Web Services. You will combine deep Kubernetes expertise with Python and shell scripting to automate, monitor, and continuously improve the Linqia platform while driving FinOps practices to keep our cloud footprint efficient. Work in a GitOps culture where every change is delivered through pull requests and rolled out by automated pipelines.

WHAT YOU WILL DO

• Design, maintain, and evolve our AWS account structure, VPC networking, IAM policies, security boundaries, and cost‑management controls using Terraform and the AWS console
• Maintain secure networking layers with AWS load balancers, ingress controllers, service‑mesh policies, network policies, and zero‑trust principles
• Operate and harden production‑grade Kubernetes clusters on AWS EKS, including upgrades, service mesh, policy management, and multi‑cluster architectures driven by Argo CD
• Build reusable infrastructure‑as‑code modules with Terraform that provision cloud resources in minutes while enforcing tagging standards and least‑privilege access
• Create self‑service CI/CD pipelines in Jenkins and GitHub Actions for fast, safe releases with automated testing and promotion across environments
• Deliver real‑time observability with Datadog, Prometheus, Grafana, CloudWatch, and OpenTelemetry, and use these tools to assist in solving production bugs and issues
• Administer and maintain purpose-built Linux VMs via configuration management tools like Puppet, Ansible, or Chef
• Deploy, scale, and maintain databases on AWS (Aurora, PostgreSQL, MySQL, OpenSearch, etc.), maintaining high database performance/uptime, optimizing tables and datasets, and ensuring disaster recovery protocols are in place.  
• Support developers by maintaining Podman‑based local dev boxes and Kubernetes staging environments that mirror production, ensuring smooth hand‑off from local code to cloud‑native deployments
• Implement FinOps practices: track and forecast AWS spend, enforce cost‑allocation tagging, identify rightsizing opportunities, manage Savings Plans or Reserved Instances, and build cost‑optimisation dashboards for engineering and finance stakeholders
• Write automation utilities and command‑line tools in Python and craft shell scripts that glue components and workflows together
• Champion reliability through incident reviews, capacity planning, game days, chaos testing, and service‑level objective tracking
• Collaborate in Agile rituals, plan sprints, refine backlog tickets, and pair with peers to spread DevOps and FinOps best practices

WHAT YOU BRING

• Bachelor degree in Computer Science or equivalent practical experience
• three plus years working with cloud infrastructure or platform engineering focused on AWS
• Deep hands‑on experience with Kubernetes, preferably EKS, covering upgrades, networking, storage, RBAC, and custom resources
• Proficiency in Python and Bash or Zsh scripting
• Strong understanding of core AWS services EC2, VPC, IAM, ALB, S3, RDS, CloudFormation, and CloudWatch
• Demonstrated experience applying FinOps principles: cost monitoring, forecasting, and optimisation on AWS
• Solid experience with Docker and container runtimes, with emphasis on Podman for local development environments
• Hands‑on practice with configuration‑management tools such as Ansible or Puppet and infrastructure‑as‑code with Terraform
• Proven use of Datadog for metrics, logs, and APM, plus familiarity with Prometheus and Grafana dashboards
• Comfortable with Git‑based workflows, feature branching, and pull‑request reviews
• Strong SQL skills and a deep understanding of relational database internals
• Competent in Linux administration, process troubleshooting, and performance tuning
• Practical knowledge of TCP/IP, HTTP, TLS, DNS, and common networking tools
• Clear communication skills and an ability to translate complex technical topics to diverse audiences
• Familiarity with Scrum or Kanban and a continuous‑improvement mindset

EXTRA CREDIT

• AWS certifications such as Solutions Architect, DevOps Engineer, or FinOps Practitioner
• Experience with AWS security tooling GuardDuty, Security Hub, IAM Access Analyzer, and KMS
• Building data pipelines with Apache Spark, Flink, or similar frameworks
• Implementing event‑driven architectures with Kafka Streams or KSQL
• Applying SRE practices such as error budgets and service‑level dashboards
• Exposure to machine‑learning workflows, ModelOps, or MLOps in production

_{This position description is intended to describe the duties most frequently performed by an individual in this position. Linqia is an equal opportunity employer supporting workforce diversity. We actively encourage women, people with disabilities, veterans, underrepresented minorities, and LGBTQ+ people to apply. We do not discriminate on the basis of race, religion, color, national origin, gender, gender identity or expression, sexual orientation, age, marital status, veteran status, or disability status. Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.}

_{Headhunters and recruitment agencies may not submit resumes or candidates through this Web site or directly to employees. Linqia does not accept unsolicited headhunter and agency resumes and will not pay fees to any third-party agency or company that does not have a signed agreement with us.}

By bringing together next-gen technology and the finest live data available, Genius Sports is enabling a new era of sports for fans worldwide, delivering experiences that are more immersive, interactive and personalised than ever before. Learn more at geniussports.com  

• Proven experience in data analysis
• Proficiency in Python and SQL for data manipulation and automation
• Experience working with databases (experience with Snowflake is a plus)
• Experience with data visualization tools such as Power BI, Tableau, Looker, or Qlik
• Advanced Excel skills
• Strong analytical mindset and attention to detail
• Highly proactive, self-motivated, and able to plan and execute work independently
• Excellent written and spoken English
• Bachelor’s degree in Data Engineering, Computer Engineering, Business, Economics, Marketing, or a related field

• Experience working with dbt for data transformation and modeling
• Experience or knowledge of web analytics and digital marketing tools
• Familiarity with BI and ETL tools
• Knowledge or interest in sports and betting is a plus

We enjoy an ‘office-first’ culture and maximize opportunities to collaborate, connect and learn together. Our hybrid working models differ depending on your role and location. 

As well as a competitive salary and range of benefits, we’re committed to supporting employee wellbeing and helping you grow your skills, experience and career. Learn more about how rewarding life at Genius can be at Reward | Genius Sports. 

One team, being brave, driving change  

We strive to create an inclusive working environment, where everyone feels a sense of belonging and the ability to make a difference. Learn more about our values and culture at Culture | Genius

Let us know when you apply if you need any assistance during the recruiting process due to a disability.

Linqia is the leader in the influencer marketing industry. We’re a growing tech start-up, having experienced 100% year-over-year growth and break-even. At Linqia, we partner with the world’s largest brands including Danone, AB InBev, Kimberly-Clark, Unilever, and Walmart to build compelling and effective influencer marketing campaigns. Our AI-driven platform and team of experts are leading the transformation of influencer marketing.

We value intelligence, recognize talent and have instilled a culture that supports career development and growth for our employees. We thrive on innovation and accountability, with a customer first attitude that adds true value to everything we touch. Our team members are smart, hard-working, have integrity and love to have fun as we play to win.

SOFTWARE AND INFRASTRUCTURE DEVOPS ENGINEER

Experience level  3+ YoE supporting production saas in AWS 

Location Anywhere in LATAM preferably in Colombia

Employment type Full‑time contract

ABOUT THE ROLE

Build out  a cloud‑native team that owns the entire software delivery life cycle on Amazon Web Services. You will combine deep Kubernetes expertise with Python and shell scripting to automate, monitor, and continuously improve the Linqia platform while driving FinOps practices to keep our cloud footprint efficient. Work in a GitOps culture where every change is delivered through pull requests and rolled out by automated pipelines.

WHAT YOU WILL DO

• Design, maintain, and evolve our AWS account structure, VPC networking, IAM policies, security boundaries, and cost‑management controls using Terraform and the AWS console
• Maintain secure networking layers with AWS load balancers, ingress controllers, service‑mesh policies, network policies, and zero‑trust principles
• Operate and harden production‑grade Kubernetes clusters on AWS EKS, including upgrades, service mesh, policy management, and multi‑cluster architectures driven by Argo CD
• Build reusable infrastructure‑as‑code modules with Terraform that provision cloud resources in minutes while enforcing tagging standards and least‑privilege access
• Create self‑service CI/CD pipelines in Jenkins and GitHub Actions for fast, safe releases with automated testing and promotion across environments
• Deliver real‑time observability with Datadog, Prometheus, Grafana, CloudWatch, and OpenTelemetry, and use these tools to assist in solving production bugs and issues
• Administer and maintain purpose-built Linux VMs via configuration management tools like Puppet, Ansible, or Chef
• Deploy, scale, and maintain databases on AWS (Aurora, PostgreSQL, MySQL, OpenSearch, etc.), maintaining high database performance/uptime, optimizing tables and datasets, and ensuring disaster recovery protocols are in place.  
• Support developers by maintaining Podman‑based local dev boxes and Kubernetes staging environments that mirror production, ensuring smooth hand‑off from local code to cloud‑native deployments
• Implement FinOps practices: track and forecast AWS spend, enforce cost‑allocation tagging, identify rightsizing opportunities, manage Savings Plans or Reserved Instances, and build cost‑optimisation dashboards for engineering and finance stakeholders
• Write automation utilities and command‑line tools in Python and craft shell scripts that glue components and workflows together
• Champion reliability through incident reviews, capacity planning, game days, chaos testing, and service‑level objective tracking
• Collaborate in Agile rituals, plan sprints, refine backlog tickets, and pair with peers to spread DevOps and FinOps best practices

WHAT YOU BRING

• Bachelor degree in Computer Science or equivalent practical experience
• three plus years working with cloud infrastructure or platform engineering focused on AWS
• Deep hands‑on experience with Kubernetes, preferably EKS, covering upgrades, networking, storage, RBAC, and custom resources
• Proficiency in Python and Bash or Zsh scripting
• Strong understanding of core AWS services EC2, VPC, IAM, ALB, S3, RDS, CloudFormation, and CloudWatch
• Demonstrated experience applying FinOps principles: cost monitoring, forecasting, and optimisation on AWS
• Solid experience with Docker and container runtimes, with emphasis on Podman for local development environments
• Hands‑on practice with configuration‑management tools such as Ansible or Puppet and infrastructure‑as‑code with Terraform
• Proven use of Datadog for metrics, logs, and APM, plus familiarity with Prometheus and Grafana dashboards
• Comfortable with Git‑based workflows, feature branching, and pull‑request reviews
• Strong SQL skills and a deep understanding of relational database internals
• Competent in Linux administration, process troubleshooting, and performance tuning
• Practical knowledge of TCP/IP, HTTP, TLS, DNS, and common networking tools
• Clear communication skills and an ability to translate complex technical topics to diverse audiences
• Familiarity with Scrum or Kanban and a continuous‑improvement mindset

EXTRA CREDIT

• AWS certifications such as Solutions Architect, DevOps Engineer, or FinOps Practitioner
• Experience with AWS security tooling GuardDuty, Security Hub, IAM Access Analyzer, and KMS
• Building data pipelines with Apache Spark, Flink, or similar frameworks
• Implementing event‑driven architectures with Kafka Streams or KSQL
• Applying SRE practices such as error budgets and service‑level dashboards
• Exposure to machine‑learning workflows, ModelOps, or MLOps in production

_{This position description is intended to describe the duties most frequently performed by an individual in this position. Linqia is an equal opportunity employer supporting workforce diversity. We actively encourage women, people with disabilities, veterans, underrepresented minorities, and LGBTQ+ people to apply. We do not discriminate on the basis of race, religion, color, national origin, gender, gender identity or expression, sexual orientation, age, marital status, veteran status, or disability status. Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.}

_{Headhunters and recruitment agencies may not submit resumes or candidates through this Web site or directly to employees. Linqia does not accept unsolicited headhunter and agency resumes and will not pay fees to any third-party agency or company that does not have a signed agreement with us.}

About WPP Media 

WPP is the creative transformation company. We use the power of creativity to build better futures for our people, planet, clients and communities. For more information, visit wpp.com. 

WPP Media is WPP’s global media collective. In a world where media is everywhere and in everything, we bring the best platform, people, and partners together to create limitless opportunities for growth. For more information, visit wppmedia.com 

At WPP Media, we believe in the power of our culture and our people. It’s what elevates us to deliver exceptional experiences for both our clients and each other. In this role it will be critical to embrace WPP & WPP Media’s shared core values: 

• Be Extraordinary by Leading Collectively to Inspire transformational Creativity. 

• Create an Open environment by Balancing People and Client Experiences by Cultivating Trust. 

• Lead Optimistically by Championing Growth and Development to Mobilize the Enterprise.

Job Summary/Purpose As the Manager of Data Operations, you will hold a critical, high-impact role responsible for the integrity and efficiency of our marketing data infrastructure. You will manage the development and maintenance of our business intelligence tools, data pipelines, and data quality compliance processes. This is a hands-on role where you will act as the crucial intermediary between our BI and Technology teams, translating business needs into technical requirements and solutions. You will be the subject matter expert for our core data systems, driving projects from requirement gathering to completion and ensuring the highest standards of data governance. This position does not have direct reports. 

Key Responsibilities and Functions 

• Execute and continuously advance media measurement for Unilever campaigns, including the setup and reporting for campaigns, ROI analysis, attribution, and evaluation of campaign effectiveness, adhering to WPP's best practices and methodologies.  

• Develop data-driven insights and actions that translate analytics into clear business narratives and recommendations, aligning with Unilever business goals while maintaining WPP's analytical rigor. 

• Collaborate closely with internal WPP Unite teams and external partners on measurement projects, custom studies, and KPI development in support of the Unilever account. 

• Support the development, automation, and evangelization of data inputs/outputs and dashboards tailored for Unilever's needs, leveraging WPP's tooling and expertise where appropriate. 

• Stay current on trends in media measurement, analytics tools, and industry best practices, actively bringing WPP's thought leadership and innovation to Unilever. 

• Manage relationships with agencies and vendors as needed, under the guidance of WPP management and in close alignment with Unilever's objectives. 

• Partners with WPP's Data Engineering for data and dashboard support, and with WPP's Advanced Analytics for applying advanced methods to Unilever's challenges. This role does not own data pipeline or model development, but facilitates these efforts for the client. 

 Job Requirements 

Education and Experience: 

• 3–5 years in media analytics, market research, or related fields, ideally within an agency or consultancy environment. 

• Bachelor’s degree required, advanced degree a plus. 

• Proficiency with data visualization tools (Power BI, Tableau), Excel, and basic coding (SQL, Python preferred). 

• Experience with media measurement, campaign analytics, and data storytelling, with a proven ability to translate complex data into actionable client recommendations. 

• Strong analytical, problem-solving, storytelling, and communication skills, adaptable to both agency and client environments. 

• Ability to work collaboratively, manage multiple projects simultaneously, and operate effectively within WPP team structures while adhering to agency processes. 

• Proven ability to thrive in a dynamic, client-facing account environment, balancing diverse stakeholder needs with WPP's internal policies and strategic objectives. 

• Prior usage of major media platforms such as Google, Meta, TikTok, and others, with experience leveraging data from these channels for campaign reporting and optimization for large advertisers. 

• Awareness of digital marketing measurement tools (e.g., MMM, Attribution, Brand Health, Lift/Incrementality Testing, Data Clean Rooms). 

• Experience with data visualization (Power BI) and basic coding tools (SQL, Python). . 

Medellin, Colombia

Hybrid model (2 days per week at the office)

About the role

We’re hiring a Senior SRE for a Platform Engineering team inside NICE/LiveVox. This is a builder / owner role: you’ll design and evolve the AWS platform foundations that product engineering teams rely on to run services safely and efficiently.

This is not a ticket-queue operations job. We’re looking for someone who enjoys ambiguous problems, makes sound engineering decisions, and builds automation to reduce toil long-term.

What you’ll do (Key Responsibilities)

• Own platform reliability outcomes across AWS: availability, latency, resiliency, and operational readiness.
• Design and implement platform foundations (IAM, networking, compute, deployment patterns, and guardrails) that enable teams to build safely at scale.
• Build infrastructure automation using IaC (Terraform) and CI/CD workflows that improve repeatability and reduce manual work.
• Lead incident response for platform-level issues (detection → mitigation → root cause analysis → permanent fixes) and drive measurable prevention.
• Improve observability and operational maturity (metrics, logs, traces, SLOs, alert design) with a bias toward actionable signals.
• Partner with engineering teams to improve service design, deployment safety, and runtime behavior through pragmatic reviews and mentoring.
• Document and standardize platform patterns, runbooks, and decision records so the system gets easier to operate over time.

What we’re looking for

We’re not looking for a specific background as much as strong ownership and technical judgment. You’ll be successful here if you are comfortable being the person who says:
“Here’s the tradeoff, here’s the decision, here’s how we’ll measure if it worked.”

Minimum qualifications

• 5+ years in SRE / Platform Engineering / Infrastructure Engineering (or similar)
• Strong experience operating services in AWS in production
• Strong Linux fundamentals and troubleshooting skills (used for engineering judgment, not ticket processing)
• Experience building automation with Infrastructure as Code (Terraform strongly preferred)
• Fluency with at least one language used for automation (Python, Go, or similar)
• Clear written and verbal communication (you can explain complex operational topics without drama or vagueness)

Preferred qualifications

• Experience designing multi-account AWS environments, governance controls, and secure-by-default patterns
• Deep familiarity with Kubernetes, ECS/Fargate, or other production orchestration platforms
• Experience with SLO-based reliability, alert tuning, and reducing operational noise
• Experience mentoring engineers or leading reliability efforts across teams

This role is a good fit if you…

• Prefer engineering fixes over repeating manual work
• Can work with incomplete information and still make good decisions
• Enjoy building “paved roads” (platform standards) that teams can use independently
• Are curious, self-directed, and comfortable taking ownership without needing constant direction

This role is probably not a fit if you…

• Want a role primarily focused on helpdesk-style support, routine ticket queues, or “keep the servers patched” operations
• Prefer clearly defined tasks over designing solutions in ambiguous situations
• Avoid cross-team collaboration, tradeoff conversations, or writing down decisions

(That’s not a judgment — it’s just not this job.)

#LI-Hybrid

About WPP Media 

WPP is the creative transformation company. We use the power of creativity to build better futures for our people, planet, clients and communities. For more information, visit wpp.com. 

WPP Media is WPP’s global media collective. In a world where media is everywhere and in everything, we bring the best platform, people, and partners together to create limitless opportunities for growth. For more information, visit wppmedia.com 

At WPP Media, we believe in the power of our culture and our people. It’s what elevates us to deliver exceptional experiences for both our clients and each other. In this role it will be critical to embrace WPP & WPP Media’s shared core values: 

• Be Extraordinary by Leading Collectively to Inspire transformational Creativity. 

• Create an Open environment by Balancing People and Client Experiences by Cultivating Trust. 

• Lead Optimistically by Championing Growth and Development to Mobilize the Enterprise.

Role Summary
Senior Analyst role is expected to support the broader analytics team in measuring and validating the effectiveness of paid media for channels including but not limited to, Linear TV, OTT, Social Activation, and Programmatic Activation, Audio, and OOH The Senior Analyst is expected to demonstrate the following skills/experience: strong grasp of  experimental design, specifically covering A/B testing for Brand Impact (brand lift studies) and performance (conversion lift studies). Hands-on skills in data management and data  visualization, quantitative data analysis, problem solving, statistical modeling, and the ability to  develop/analyze business cases. Strong ability to design, customize, and maintain platforms for contract management, business intelligence, and user access. Excellent oral and written communication skills, client focus and the ability to support and enable teamwork, self-motivated and able to operate independently with limited guidance and direction.

Requirements
• Bachelor's degree in a STEM-focused area such as Economics, Computer Science, Mathematics, Physics; a related field or equivalent professional work experience is 
required.
• 2 - 4 years of relevant work experience in analytics.
• Strong analytical abilities and quantitative skills.
• Advanced Google Sheets skills including pivot tables, VLOOKUP, building charts and graphs, etc.
• An understanding of Python and/or SQL (especially BigQuery/GCP) is helpful but not required.
• Experience with data visualization tools such as Tableau, Looker, or PowerBI is a niceto-have.
• A background in statistical modeling (e.g., linear regression) is highly preferred.
• Experience with Google Analytics, Adobe Analytics, and other web analytics tools is preferred but not mandatory.
• Knowledge of media ad servers such as Google Campaign Manager or Meta CAPI would be preferred.
• Strong understanding of media metrics (e.g., buying models, CPV, VCR, GRP) and quantitative business measures.

About WPP Media 

WPP is the creative transformation company. We use the power of creativity to build better futures for our people, planet, clients and communities. For more information, visit wpp.com. 

WPP Media is WPP’s global media collective. In a world where media is everywhere and in everything, we bring the best platform, people, and partners together to create limitless opportunities for growth. For more information, visit wppmedia.com 

At WPP Media, we believe in the power of our culture and our people. It’s what elevates us to deliver exceptional experiences for both our clients and each other. In this role it will be critical to embrace WPP & WPP Media’s shared core values: 

• Be Extraordinary by Leading Collectively to Inspire transformational Creativity. 

• Create an Open environment by Balancing People and Client Experiences by Cultivating Trust. 

• Lead Optimistically by Championing Growth and Development to Mobilize the Enterprise. 

About the Role

As Senior Analyst, you are accountable for quantifying and measuring the success of our marketing and advertising executions and for delivering quantifiable insights that enable us to innovate the work we deliver at MFG. You will be partnering with Analytics and cross-discipline team members in New York, Chicago, San Francisco and Los Angeles, helping to create continuity between the various teams.

Some of the things we’d like you to do: 

• Everything with marketing data (collection, cleaning, analysis and validation)
• Communicate advertising campaign insights generated by our analysis and share communication best practices internally
• Seek knowledge of other practices in order to understand how to tailor insights and recommendations towards actionability
• Support the wider Analytics team in implementing our measurement tools
• Transform data into visually appealing presentations
• Proactively identify and resolve program & project issues, escalating appropriately
• Stay up to date on our product offerings and how it affects analytics
• Occasional vendor and client communication may be required

A bit about yourself:

• Bachelor's Degree from a top-tier college, 3.0 GPA or equivalent. Degree within Analytics, Technology, Marketing, Advertising or equivalent experience
• At least C1 English language proficiency or equivalent
• 2+ years of experience working in a marketing analytics-based role
• Proficiency in Excel, PowerPoint (Google Workspace a must)
• Exposure to measurement of both Brand and Direct Response marketing campaigns
• Strong project management skills
• Strong verbal and written communication
• Strong attention to detail and ability to manage multiple tasks
• Highly organized and efficient under pressure
• Natural affinity for numbers/data and a passion for playing with data in order to solve problems
• Experience with generative AI tools (Gemini, ChatGPT) a plus
• Experience with programming languages such as R, SQL, and Python a plus

About WPP Media 

WPP is the creative transformation company. We use the power of creativity to build better futures for our people, planet, clients and communities. For more information, visit wpp.com. 

WPP Media is WPP’s global media collective. In a world where media is everywhere and in everything, we bring the best platform, people, and partners together to create limitless opportunities for growth. For more information, visit wppmedia.com 

At WPP Media, we believe in the power of our culture and our people. It’s what elevates us to deliver exceptional experiences for both our clients and each other. In this role it will be critical to embrace WPP & WPP Media’s shared core values: 

• Be Extraordinary by Leading Collectively to Inspire transformational Creativity. 

• Create an Open environment by Balancing People and Client Experiences by Cultivating Trust. 

• Lead Optimistically by Championing Growth and Development to Mobilize the Enterprise.

About WPP Media 

WPP is the creative transformation company. We use the power of creativity to build better futures for our people, planet, clients and communities. For more information, visit wpp.com. 

WPP Media is WPP’s global media collective. In a world where media is everywhere and in everything, we bring the best platform, people, and partners together to create limitless opportunities for growth. For more information, visit wppmedia.com 

At WPP Media, we believe in the power of our culture and our people. It’s what elevates us to deliver exceptional experiences for both our clients and each other. In this role it will be critical to embrace WPP & WPP Media’s shared core values: 

• Be Extraordinary by Leading Collectively to Inspire transformational Creativity. 

• Create an Open environment by Balancing People and Client Experiences by Cultivating Trust. 

• Lead Optimistically by Championing Growth and Development to Mobilize the Enterprise. 

About the Role

As Senior Analyst, you are accountable for quantifying and measuring the success of our marketing and advertising executions and for delivering quantifiable insights that enable us to innovate the work we deliver at MFG. You will be partnering with Analytics and cross-discipline team members in New York, Chicago, San Francisco and Los Angeles, helping to create continuity between the various teams.

Some of the things we’d like you to do: 

• Everything with marketing data (collection, cleaning, analysis and validation)
• Communicate advertising campaign insights generated by our analysis and share communication best practices internally
• Seek knowledge of other practices in order to understand how to tailor insights and recommendations towards actionability
• Support the wider Analytics team in implementing our measurement tools
• Transform data into visually appealing presentations
• Proactively identify and resolve program & project issues, escalating appropriately
• Stay up to date on our product offerings and how it affects analytics
• Occasional vendor and client communication may be required

A bit about yourself:

• Bachelor's Degree from a top-tier college, 3.0 GPA or equivalent. Degree within Analytics, Technology, Marketing, Advertising or equivalent experience
• At least C1 English language proficiency or equivalent
• 2+ years of experience working in a marketing analytics-based role
• Proficiency in Excel, PowerPoint (Google Workspace a bonus)
• Exposure to measurement of both Brand and Direct Response marketing campaigns
• Strong project management skills
• Strong verbal and written communication
• Strong attention to detail and ability to manage multiple tasks
• Highly organized and efficient under pressure
• Natural affinity for numbers/data and a passion for playing with data in order to solve problems
• Experience with generative AI tools (Gemini, ChatGPT) a plus
• Experience with programming languages such as R, SQL, and Python a plus

About WPP Media 

WPP is the creative transformation company. We use the power of creativity to build better futures for our people, planet, clients and communities. For more information, visit wpp.com. 

WPP Media is WPP’s global media collective. In a world where media is everywhere and in everything, we bring the best platform, people, and partners together to create limitless opportunities for growth. For more information, visit wppmedia.com 

At WPP Media, we believe in the power of our culture and our people. It’s what elevates us to deliver exceptional experiences for both our clients and each other. In this role it will be critical to embrace WPP & WPP Media’s shared core values: 

• Be Extraordinary by Leading Collectively to Inspire transformational Creativity. 

• Create an Open environment by Balancing People and Client Experiences by Cultivating Trust. 

• Lead Optimistically by Championing Growth and Development to Mobilize the Enterprise. 

About the role

As the Associate Director of Analytics, you will help the Analytics (North America) team be accountable for quantifying and measuring the success of our executions and for delivering insights that enable us to innovate the work we deliver at MFG to our Google client.

The ideal candidate will have a strong background in media agencies working with brand and direct response campaigns, match market test (MMT) design, and experience working with large cross discipline teams. This role is crucial in driving our agency's data-driven decision-making process and ensuring our clients' success.

Importantly, this candidate will help lead and mentor a high-performing analytics team, fostering a culture of excellence, innovation, and continuous improvement for a new hub in Bogota. You will be partnering with team members in New York, Chicago, San Francisco and Los Angeles, and helping to create continuity between the various teams.

Some of the things we’d like you to do:

• Work closely with the regional analytics team in a global capacity, providing guidance, mentorship, and fostering a culture of learning and improvement
• Work closely with other departments to integrate analytics into all aspects of campaign planning, execution, and evaluation
• Be seen as a trusted advisor by our clients for all things analytics related. Collaborate with clients, understanding their unique needs and delivering tailored analytics solutions
• Recruit, manage and mentor Analytics resources, ensuring the efficient flow of work through the team, the timely delivery of high-quality outputs and their continuing development as professionals
• Successfully collaborate with internal as well as external teams for data integrity, reporting, testing, ad-hoc analysis and more
• Lead the design and measurement of brand and/or direct response campaigns, ensuring they meet client objectives
• Develop and implement match market tests (MMT), analyzing results to provide strategic insights and recommendations
• Present complex data and analytics findings in a clear and actionable manner to clients and internal teams
• Lead the creation of clear, robust and thought-provoking analysis reviews and insights

A bit about yourself:

• Bachelor's Degree from a top-tier college, 3.0 GPA or equivalent. Degree within Analytics, Technology or equivalent experience
• 6+ years of experience working in a data-based role, preferably in a media agency
• Experience managing a team and ability to delegate effectively
• Proficiency with programming languages including R, SQL, and Python
• Proficiency in Excel, PowerPoint (Google docs a bonus)
• Expose to measurement of both Direct Response and Brand Awareness campaigns
• Excellent at presenting data in a visually engaging and insightful manner that cuts through the noise
• Strong organizational and project management skills
• Strong understanding of what data points can be collected and analyzed in a digital campaign, and how each data point should be analyzed
• Established and professional communication, presentation, and motivational skills

• Data Pipeline Development: Support the design, development, and implementation of new data pipelines using GCP services like Data Fusion, Cloud Functions, and Dataproc to ingest data from a variety of sources. 
• SQL-Based Transformations: Author, execute, and optimize complex SQL joins and transformations within GCP BigQuery to clean, reshape, and structure raw data into high-quality, usable assets. 
• Data Modeling Support: Assist the senior engineering and analytics teams with data modeling and schema design, helping to implement the structures that support our BI and analytics use cases. 
• Pipeline Maintenance and Optimization: Monitor, troubleshoot, and enhance existing data pipelines to ensure data quality, reliability, and performance. 
• Collaboration and Implementation: Work as a key member of the engineering team to translate technical requirements into functional code and support the deployment of data solutions. 

• 2-4+ years of hands-on experience in a data engineering or similar role. 
• Strong, demonstrated proficiency in SQL for data manipulation and transformation is essential. 
• Hands-on programming experience with Python for data processing tasks. 
• Experience working within a major cloud environment (GCP is highly preferred; AWS, Azure are also valuable). 
• Experience working with complex, large-scale enterprise media data is a strong plus. 
• Familiarity with ETL/ELT principles and experience with data pipeline orchestration tools (e.g., Airflow, Data Fusion). 
• Understanding of data warehousing concepts and database design. 
• A collaborative mindset with strong problem-solving skills and attention to detail. 
• Bachelor's degree in Computer Science, Engineering, or a related quantitative field, or equivalent practical experience. 

For Mexico: This position is available in a Remote or Hybrid Work Modality. The candidate must perform their work from any location within Mexico. Only Mexican nationals residing in the country or foreign nationals with a valid work permit may apply. Remote work from abroad is not permitted under any circumstances.

For Colombia: This position is in a Remote or Hybrid Work Modality and must be performed within Colombian territory. Only candidates residing in Colombia with a valid work permit may apply. Remote work contracts do not allow employment or relocation abroad.

Fullstack Engineer

Searching for a Fullstack Engineer (long-term contractor) to work from home in the Medellín, Colombia area! Please submit your CV/Resumé in English, thank you!

Do you get fired up about building seamless end-to-end experiences—designing sleek, responsive frontends with Vue.js, TypeScript, and CSS, and powering them with solid, scalable backends in Python and SQL? Do you thrive when you're solving real, complex problems and bringing ambitious ideas to life? We're building modern web apps that go beyond the basics—incorporating AI, machine learning, and video analysis to unlock what’s next. We’re looking for engineers who communicate with clarity, love to collaborate, and aren’t shy about showing their work. If you’re excited to jump in, make an impact, and help shape where we’re headed, we’d love to have you on board.

Responsibilities

• Front-End Excellence
• Implement new user-facing features in the Linqia Platform using Vue.js, Vuex, and TypeScript.
• Translate conceptual ideas (business needs and user goals) into intuitive and engaging experiences.
• Collaborate with product, design, and QA teams to define UI/UX strategy and ensure a smooth user experience.
  
  
• Back-End Mastery
• Architect and implement robust, scalable server-side applications using Python.
• Write complex SQL queries (e.g., with Trino or similar) to gather and analyze data from multiple sources.
• Develop and maintain microservices supporting our platform, ensuring seamless integration with front-end components.
• Design, optimize, and troubleshoot relational and non-relational databases.
• Collaborate with cross-functional teams to integrate RESTful APIs and ensure smooth end-to-end functionality.
  
  
• Code Quality and Collaboration
• Write thoroughly tested features, actively participate in code reviews, and take ownership of the codebase—front to back.
• Develop comprehensive end-to-end integration tests to ensure that systems function as intended.
• Stay up to date with the latest technologies and industry trends to drive continuous improvement.

Qualifications

• Education & Experience
• BS degree in Computer Science or a similar technical area of study (or equivalent practical experience).
• 2–4 years of experience as a software engineer/developer, with exposure to both front-end and back-end development.
• Technical Skills
• Front-End: Proficiency in HTML5, CSS3/SCSS, JavaScript with TypeScript, Vue.js, Vuex/Pinia, and Webpack/Vite.
• Back-End: Proficiency in Python, with a strong grasp of building and integrating APIs using FastAPI.
• Databases & Data: Skilled in SQL and database optimization techniques. Experience with both relational and non-relational databases is a plus.
• Architecture & Tools: Experience working with microservices architecture. Familiarity with Git/GitHub for version control.
• Agile Environment: Front-end or fullstack experience working in an Agile setting.
• Testing & Performance: Strong commitment to code quality, testing, and performance optimization.
• Soft Skills
• English language proficiency required.
• Excellent problem-solving and troubleshooting abilities, with a knack for creative solutions.
• Strong collaboration and communication skills, comfortable working in cross-functional teams.

Nice to Have

• Postgraduate degree in CS or further education/experience in a technical field.
• Experience working in AWS or a similar cloud infrastructure (Google Cloud, Azure).
• Familiarity with containerization technologies like Docker.
• Knowledge of message queues and streaming platforms, such as Apache Kafka.
• Understanding of caching mechanisms and performance optimization techniques.
• Experience with performance testing and profiling tools.
• Familiarity with machine learning concepts and frameworks using LLM.

You’ll Grow at Linqia

Influencer marketing is chaotic. Linqia brings the calm in the chaos. We’re a leader in the influencer marketing industry. We're a mature and growing tech start-up, having experienced 100% year-over-year growth and break-even. We partner with the world's largest brands including General Motors, Bayer, Kimberly-Clark, Unilever, Albertsons, McDonalds, and Walmart to build compelling and effective influencer marketing campaigns. Our AI-driven platform and team of experts are leading the transformation of influencer marketing and leveraging creator content. We combine the science and accountability of online media with award-winning creativity to deliver the greatest return on investment and results for our clients’ paid, owned, and earned media.

We value intelligence, recognize talent and have instilled a culture that supports career development and growth for our employees. We thrive on innovation and accountability, with a customer first attitude that adds true value to everything we touch. Our team members are smart, hard-working, have integrity and love to have fun as we play to win.

This position description is intended to describe the duties most frequently performed by an individual in this position. Linqia is an equal opportunity employer supporting workforce diversity. We actively encourage women, people with disabilities, veterans, underrepresented minorities, and LGBTQ+ people to apply. We do not discriminate on the basis of race, religion, color, national origin, gender, gender identity or expression, sexual orientation, age, marital status, veteran status, or disability status.

Headhunters and recruitment agencies may not submit resumes or candidates through this Web site or directly to employees. Linqia does not accept unsolicited headhunter and agency resumes and will not pay fees to any third-party agency or company that does not have a signed agreement with us.