Senior Analytics Manager

Role Overview

• Own Data & Analytics Infrastructure
• Centralize and structure data across DTC, retail, marketplace, paid media, subscription, operations, and finance systems
• Partner cross-functionally to consolidate fragmented reporting into a scalable data warehouse and/or data lake environment
• Build robust data models supporting contribution margin, cohort analysis, and channel-level performance visibility
• Establish and document standardized KPI definitions across departments
• Reduce reliance on manual spreadsheets and ad hoc reporting
• Build Decision-Driving Dashboards & KPI Frameworks
• Design and maintain executive-level dashboards in BI tools, especially Looker
• Own the company-wide KPI framework, including:
• Blended and channel CAC
• Contribution margin by channel, product, and customer
• Cohort-based LTV and payback
• Marketplace and retail profitability
• Inventory productivity and working capital visibility
• Produce clear weekly and monthly executive summaries
• Monitor leading vs. lagging indicators and proactively surface risks and opportunities
• Drive Cross-Functional Performance Insights
• Partner with Growth to evaluate acquisition efficiency, creative performance, and media mix effectiveness
• Support Finance with revenue modeling, margin expansion analysis, and investment evaluation
• Partner with Retail and Marketplace teams to assess trade spend effectiveness and promotional ROI
• Analyze syndicated retail data to identify share trends, velocity shifts, distribution changes, and competitive insights
• Deliver actionable recommendations that inform capital allocation and strategic trade-offs
• Forecasting, Modeling & Advanced Analytics
• Build and enhance financial and operational models grounded in strong business economics and unit economics principles
• Support scenario planning and long-range forecasting
• Develop predictive analyses such as LTV modeling, churn analysis, demand forecasting, and margin simulations
• Leverage AI tools to improve forecasting accuracy, automate insight generation, and detect anomalies
• Continuously elevate the analytical sophistication of the organization

Requirements

We’re Looking For Someone Who Brings

• 6–10+ years of experience in analytics, business intelligence, or performance analytics
• Experience in CPG, Food & Beverage, subscription businesses, DTC, retail, or multi-channel consumer brands
• Strong understanding of business economics, unit economics, and contribution margin drivers
• Strong SQL skills and experience working with large, complex datasets
• Experience building dashboards in Looker or similar BI tools
• Advanced Excel / Google Sheets proficiency
• Experience building or improving data warehouse or data lake environments
• Ability to synthesize raw data into clear business implications and executive-ready insights
• Comfort operating as a hands-on individual contributor in a fast-paced environment
• Strong communication skills and an ownership mindset

Tech Stack

• SQL

Benefits

• Competitive salary
• Monthly wellness stipend
• Health insurance
• Helper (child/elder care) stipend
• Free Everyday Dose
• Generous PTO