Manager, Analytics Enablement

RAPP•Chicago, IL

9h•$99,000 - $108,900•Hybrid

About The Position

RAPP Chicago is looking for a Manager, Analytics Enablement to join our award-winning Marketing Sciences team. WHO WE ARE: We 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 IT: At 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 ROLE: The 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.

Requirements

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, PostgreSQL, 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 reviews and CI/CD best practices
Hands-on experience with cloud data platforms, particularly Amazon Web Services (AWS), and an understanding of cloud-based analytics architectures
Strong knowledge of marketing and digital analytics concepts, including impressions, clicks, sessions, users, conversions, and attribution methodologies
Innovative Problem-Solving & Commitment: Ability to solve complex measurement and business challenges through creativity, while maintaining a commitment to self-driven continuing education to remain current on techniques, vendors, and the wider marketing landscape
Presentation & Public Speaking: Ability to produce client-ready written documents and presentation decks along with strong public speaking skills to facilitate positive in-person client meetings
Personal Traits: Ability to execute inspiring work with minimal supervision; passionate about problem solving in the areas of marketing, data, analytics, and technology; excellent verbal and written communication skills

Responsibilities

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