Manager, Analytics Enablement
Listed on 2026-02-21
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IT/Tech
Data Analyst, Data Science Manager, Business Systems/ Tech Analyst, Data Engineer
RAPP Chicago is looking for a Manager, Analytics Enablement to join our award-winning Marketing Sciences team.
WHO WE AREWe are RAPP – world leaders in activating growth with precision and empathy at scale.
As a global, next-generation precision marketing agency we leverage data, creativity, technology, and empathy to foster client growth. We champion individuality in the marketing solutions we create, and in our workplace. We fight for solutions that adapt to the individual’s needs, beliefs, behaviors, and aspirations.
We foster an inclusive workplace that emphasizes personal well-being.
HOW WE DO ITAt RAPP, our fearless superconnectors help to create value from personal brand experiences by focusing on three key areas: connected data, connected content and connected decisioning.
Our data analysts identify who that person is, our strategists understand what they want, and our award-winning technologists and creatives know how to deliver it – ensuring we’re able to activate authentic customer connections for our clients.
Part of Omnicom’s Precision Marketing Group, RAPP is comprised of 2,000+ creatives, technologists, strategists, and data and marketing scientists across 15+ global markets
YOUR ROLEThe Manager, Analytics Enablement supports the collection and activation of analytics data across RAPP client projects, providing technical solutions to fulfill measurement and reporting goals. This person will architect, document, implement, and maintain tracking architecture, tag management, conventions, and taxonomies, and martech platforms including analytics and digital media. Additionally, the Manager will act as a resident expert on the collection of accurate data through experience in a variety of platforms including ESPs, digital media, web analytics, and tag management systems.
At RAPP, Analytics Enablement exists at the intersection between analytics and technology, as a division of the RAPP Marketing Sciences Center of Excellence.
- Lead discovery and assessment of client marketing, analytics, and data ecosystems, identifying gaps, risks, and opportunities to improve data reliability and analytical maturity
- Manage and mentor a team of Analytics Engineers, providing technical guidance, code review, career development support, and performance feedback
- Partner cross-functionally with stakeholders in Marketing, Product, Engineering, and Client Services to translate business objectives into scalable analytics solutions and roadmaps
- Own and guide requirements for data pipelines, data infrastructure, and analytics tooling to ensure efficient, reliable, and secure data collection, transformation, and delivery
- Oversee the design, implementation, and maintenance of analytics data models and semantic layers that support reporting, self-service analytics, and advanced analysis
- Ensure the delivery of high-quality foundational analytics assets, including dashboards, reporting frameworks, and self-service data products that enable data-driven decision-making
- Establish and enforce best practices for data quality, testing, documentation, and governance; proactively identify and resolve data integrity issues
- Act as a technical and strategic advisor to internal teams and clients, helping shape measurement strategies, analytics standards, and long-term data vision
- 5+ years of experience in analytics engineering, analytics, data engineering, or a related technical analytics role, with 2+ years in a leadership or senior IC capacity
- Strong understanding of modern analytics engineering principles, including:
- ETL / ELT pipelines
- Staging and transformation layers
- Incremental loading patterns
- Slowly Changing Dimensions (SCD)
- Data quality checks and testing
- Business logic abstraction and semantic modeling
- Advanced SQL expertise, with experience designing performant, maintainable transformations and data models across platforms such as Redshift, Postgre
SQL, and MS SQL Server - Proficiency in Python and familiarity with JavaScript and scripting tools for automation, data processing, and workflow orchestration
- Experience working in collaborative, version-controlled environments using Git, including code…
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