Sr. Analytics Manager, Operations

You Will:

• Manage, mentor, and build a high performance team of analysts that are able to gather and synthesize data quickly and accurately
• Build for scale: proactively identify, codify, and implement core platform for data-driven decision-making across multiple business lines, modalities, and treatment types
• Think through complex problems, determine proper analytical processes and procedures, independently derive conclusions, and present results to the organization
• Measure impact of throughput through the creation of KPIs to help measure against business outcomes
• Lead the team by identifying growth optimization opportunities; collaborating cross functionally to structure, measure, and execute tests; driving adoption and knowledge at all levels of the organization
• Challenge status quo: initiate and debate key strategic topics and opportunities from your team’s work, and drive bold high-impact decisions 
• Leverage internal and external data to identify growth opportunities, providing data-driven recommendations for business expansion
• Collaborate with cross-functional partners in data engineering, operations and finance to define and build data-informed business strategy and roadmaps
• Deliver high quality insights & dashboards for executive level consumption

You Have:

• Superb written and verbal communication skills; experience presenting to senior, cross-functional stakeholders
• Ability to contextualize data and insights within the business context, collaborating with, communicating findings to, technical and non-technical teammates
• Ability to thrive and adapt in a fast-paced, high-growth and rapidly changing environment
• 7+ years experience in a fulfillment focused role in areas such as data engineering, business intelligence, operations, or analytics
• 4+ years of experience hiring, managing, and developing high performing teams
• Experience managing and collaborating with international teams
• Exceptional SQL skills / Intermediate to advanced R or Python experience
• Hands-on experience working with a modern analytics tech stack (Looker, Google BigQuery, DBT, Python, etc.)
• Advanced-to-expert data analysis proficiency: ability to design and complete complex analysis projects
• Advanced degree (MS) in mathematics, statistics, data analytics or a related field