Manager, Marketing Data & Analytics

Role Overview

The Manager, Marketing Data & Analytics owns the business data architecture and metric definitions behind Marketing’s numbers, leading the team that measures Marketing. The role combines hands-on technical depth with team leadership.

What You Will Do

Design analytical data models, validate them, and lead three to four analysts in marketing, customer, and performance analytics. Accountable for Marketing’s business data architecture, metric definitions, context layer, predictive models, and executive performance reporting.

Why It Might Be a Fit

The ideal candidate has 10+ years of experience in marketing analytics, customer analytics, analytics engineering, or related disciplines, including prior leadership of an analytics team. Demonstrated experience leading and developing an analytics team while remaining hands-on technically.

Requirements

• 10+ years across marketing analytics, customer analytics, analytics engineering, or related disciplines
• prior leadership of an analytics team
• experience leading and developing an analytics team while remaining hands-on technically
• working knowledge of ETL and ELT concepts, transformation pipelines, data dependencies, and data-quality controls
• experience working within layered, dimensional, or medallion data architectures
• experience integrating and analyzing data across CRM, marketing, digital, commerce, and transactional systems
• development and governance of analytical products in an enterprise BI platform
• customer data platform architecture including identity resolution, event schema design, and audience activation
• marketing measurement including attribution, experimentation, incrementality, conversion, CAC and CPA, and ROAS
• experience directing or building predictive and propensity models such as churn or retention
• advanced SQL including complex joins, CTEs, window functions, transformations, data profiling, reconciliation, and validation
• working hands-on experience with Snowflake or another modern cloud data platform
• designing business and analytical data models, and specifying them for engineering teams to build against
• dimensional modeling including facts, dimensions, grain, cardinality, slowly changing dimensions, hierarchies, and conformed dimensions
• metric governance, lineage, and reconciliation across multiple enterprise systems
• strong analytical storytelling and executive communication
• familiarity with semantic layer and context technologies such as Snowflake Semantic Views, Cortex Analyst, Cortex Search, dbt Semantic Layer, or Looker
• digital analytics using an enterprise web analytics platform
• dbt or comparable SQL transformation framework
• Python or R for advanced analysis, automation, or modeling
• Git and version-controlled analytics development
• data testing and observability frameworks
• marketing mix modeling, geo experimentation, conversion lift, causal-inference methods, and machine learning applied to churn, propensity, or lifetime value

Benefits

• an excellent total package, with compensation and benefits based upon your geographic location
• skill development opportunities
• access to a global network
• flexible options to help balance work time and your time
• award and bonus opportunities

Tagged as: Looker, Python, Snowflake, SQL