DescriptionManager or
Sr. Manager of Digital Analytics to support the digital measurement approach for Pet eCommerce. Our brands, including Kaytee, Nylabone, Adams, Comfort Zone, Aqueon, Farnam, and K&H, sell online across Amazon, Chewy, Walmart, Target, Tractor Supply, and emerging marketplaces. This role will help turn our reporting foundation into an analytical decision engine. The right candidate will build data ingestion pipelines as comfortably as they build the narrative, will treat reports and analysis as versioned products with release cycles, and can explain how they know an AI-assisted answer is correct.
You will report to the VP of eCommerce, Pet, and manage a Sr. Digital Media Analyst. Expect roughly a 60/40 split between building and partnering. You will be in SQL, DAX, PowerBI, and the semantic models daily, and you will also with business units that challenges your metrics. This role is 40% data engineering-focused, 30% AI-focused, and 30% analysis
This position will be based in Schaumburg, IL corporate office. We operate in a hybrid work environment that balances in-person collaboration with workplace flexibility. Employees work from the office four (4) days per week, with one remote day, to support greater collaboration, learning, and team connection.
KEY RESPONSIBILITIES - Own our digital measurement baseline: one definition set for sales, share, traffic, conversion, and media efficiency across Amazon 1P and 3P, Chewy, Walmart, and emerging marketplaces, reconciled before rollup. When a number is disputed, fix the methodology.
- Engineer the data pipelines across retailer portals, retail media platforms, syndicated POS, product data systems, and internal ERP, on a modern architecture, replacing manual assembly with monitored, tested workstreams.
- Publish the reporting layer as a product: governed PowerBI semantic models with documented measures, versioned releases, and a retirement path for whatever each release replaces.
- Deliver reads that change decisions: digital category and item performance, promotional effectiveness, media efficiency and incrementality, share movement, fulfillment and cut-order exposure.
- Apply AI to the analytics work itself: automate recurring analysis and executive summaries, and build evals and reconciliation checks to guarantee the output.
- Build and maintain scorecards that grades ourselves and our agency partners across content quality, AI retrieval share, and media incrementality among other emerging KPIs.
- Manage and grow a Sr Digital Media Analyst and provide analytic support and direction to commercial analysts embedded across the organization.
What Success Looks Like - One number: sales, share, and media figures match across joint business plan materials, business unit planning, and finance reporting.
- Our operating reporting cycle runs on engineered pipelines, with the hours returned measured and reinvested in analysis.
- The reporting layer is consolidated, versioned, and adopted, and what it replaced is retired.
- AI-assisted ingestion and analysis workflows in production with evals.
QUALIFICATIONS - 5+ years in analytics, data engineering, or commercial analysis, including at least 1 year directing work others depend on.
- Strong SQL and working Python, with ownership of a production data pipeline end to end: API ingestion, transformation, testing, reconciliation, monitoring.
- PowerBI with build competency: semantic model design, Power Query, DAX beyond basic measures, incremental refresh, row level security, deployment discipline.
- Practical, validated use of large language models in analytical work and judgment to validate output.
- Retail, CPG, or eCommerce fluency with direct exposure to how commercial decisions get made.
Preferred Qualifications - Amazon Vendor Central, Seller Central, Brand Analytics, Search Query Performance, or Amazon Marketing Cloud reporting.
- Pacvue or comparable campaign management tooling; Stackline or comparable syndicated sources.
- A modern data platform migration (Databricks, Fabric, Snowflake) as a contributor.
- Salsify or comparable PIM exposure.
- Bachelor's degree in a quantitative or business discipline.
WORK ENVIRONMENT- Travel approximately 10%-15%: primarily for business reviews, retailer meetings and team sessions.
POSITION INFORMATION - This position pays$145,000 - $160,000 per year depending on experience and geographic location of Schaumburg, IL. This position is also eligible for a management incentive bonus based on individual and company performance.
BENEFITS PACKAGE & EMPLOYEE PROGRAMS - Comprehensive Medical, Dental, and Vision Insurance
- Free Life and Disability Insurance
- Health and Dependent Care Flexible Spending Accounts
- 401k with 3% company match and annual employer discretionary contribution
- Paid vacation, holidays and sick time
- Employee Assistance Program
- Access to thousands of free online courses
- Discounts on cell phones, movie tickets, gym memberships, and more!
- Education Assistance (both college degrees and professional certifications)
- Referral Program with cash bonus
- Access to on-demand pay
- Paid parental leave
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