Responsibilities

• Serve as primary owner and steward of marketing analytics data, including Adobe Analytics, AdBeacon (MTA), Invoca (call/offline attribution), and MMM.
• Own QA of channel and evar assignments; advocate for correct attribution model configuration.
• Lead data validation and cross-platform reconciliation across marketing analytics tools.
• Build and maintain cross-channel performance dashboards in Looker Studio and/or Power BI, designed for channel manager use.
• Translate MTA data into actionable cross-channel recommendations.
• Translate customer intelligence data into key reporting and insights: New vs. Returning segmentation, LTV/RFM analysis, CAC dashboards.
• Lead weekly and seasonal performance analysis to support in-season decision-making.
• Lead the business case development and implementation for Adobe Customer Journey Analytics (CJA).
• Build the business case for Marketing Mix Modeling (MMM) and serve as primary marketing stakeholder through vendor evaluation and implementation.
• Identify opportunities to streamline cross-channel reporting and reduce manual analytics lift for the team.

Requirements

• Minimum of 5 years of experience in marketing/media analytics.
• Retail or e-commerce background (2+ years).
• Enterprise web analytics expertise. Not just functional familiarity, but hands-on experience navigating custom implementations, evar/channel configurations, and data quality issues. Adobe Analytics strongly preferred.
• Working knowledge of multi-touch attribution (MTA) platforms.
• Strong command of reporting and data visualization tools (Looker Studio, Power BI).
• Familiarity with data aggregation and pipeline tools such as Supermetrics (Google Sheets and API Studio) or similar.
• SQL proficiency or equivalent query language; comfortable exploring and QA-ing data independently.
• Demonstrated ability to translate complex data into clear, action-oriented recommendations for non-technical audiences.
• Experience operating in a cross-functional environment with both technical (data/engineering) and non-technical (marketing) partners.

Preferred

• Familiarity with AI-assisted analytics workflows — e.g., using LLMs for insight synthesis, anomaly investigation, or connecting data platforms (such as Supermetrics) to AI tools for accelerated reporting.
• Familiarity with Marketing Mix Modeling (MMM) concepts and vendor landscape.
• Experience with customer segmentation and LTV/RFM modeling.
• CJA experience a plus.
• B2B/Lead Gen experience a plus.
• Experience in enthusiast markets, home improvement, or niche DTC retail.
• Understanding of consent management and downstream analytics implications (CCPA, Google Consent Mode, etc.).
• Comfort working within a matrixed org structure with dotted-line reporting relationships.