Healthcare Analytics Manager

Description:

Chewy is growing! We are looking for a Healthcare Analytics Manager to join our Healthcare Analytics Team. In this role, you will own end-to-end analytics projects for Chewy’s Pharmacy, Compounding, and Equine/Farm/Exotics businesses. As a Healthcare Analytics Manager, you will leverage all available data sources (orders, financials, catalog, clickstream, operations, customer feedback) to deliver self-service analytics tooling and deep-dive analyses that drive actions yielding positive impact on the customer experience and financial P&L. You will partner with business General Managers, Finance, Data Engineers and other cross-functional teams to define and execute an analytics roadmap that helps these businesses continue to scale.

The ideal candidate is technically proficient – able to analyze large, diverse data sets, build self-service analytics tools and visualizations, and conduct deep analysis with actionable insights. Additionally, this individual is a highly effective collaborator across technology and business domains, a clear written and verbal communicator, and brings a demonstrated track record of delivering high-quality impactful results. Lastly, this individual brings experience with AI and its applications for analytics.

What You'll Do
 

• Lead insights generation by delivering analyses that use data to tell a story and offer recommendations to improve business performance.
• Define and develop new KPIs and analytics frameworks to measure success and monitor progress against strategic business goals.
• Build user-friendly reporting and dashboards for both internal and external customers.
• Assess the data needs of the business and partner with technical teams to deliver proof of concepts and conduct QA/UAT on new data sources.
• Create and continuously improve documentation and training materials.
   

What You'll Need
 

• 4+ years of experience in analytics, business intelligence, data science or similar role.
• Demonstrable experience building and delivering self-service analytics tooling and in-depth analyses with quantifiable business impact.
• Technical proficiency in SQL, Tableau (or equivalent BI tool), and Excel. Python experience is a bonus.
• Experience with e-commerce, omni-channel, or retail data (catalog, promotions, clickstream, fulfillment, customer feedback, etc.) and thorough understanding of business performance indicators and financial P&L.
• Experience applying advanced analytics concepts (experiment design, A/B testing, statistics, etc.) to evaluate and improve business performance.
• Demonstrated cross-functional collaboration and communication across an organization.
• Ability to travel up to 10% of the time.