Staff Data Analyst

The job overview for this position is that Stellar Health is seeking a Staff Data Analyst to join their BI Team and lead analytics innovation. The role will primarily focus on Product and Customer Success, with the opportunity to advance the quality of healthcare in the United States. The successful candidate will have extensive experience in data visualization, SQL, designing and implementing KPIs, and working with healthcare Big Data. They should also have experience in applied statistics or experimentation in an industry setting, as well as strong communication and presentation skills.

• Deliver strategic impact through analytics
• Partner with product managers to create hypotheses, define quantitative goals, and design experiments for roadmap projects
• Conduct exploratory data analysis to discover patterns and insights to inform future strategy
• Summarize and evangelize findings across the company
• Define and implement new KPIs
• Define and implement new scoring mechanisms to measure Customer Health
• Analyze Stellar's unique SVU award system to define better allocation algorithms
• Keep documentation up-to-date in Notion, Docs, and other knowledge bases
• Keep the team and others up-to-date on plans and progress with Asana and related status meters
• Develop code that establishes the benchmark for best practices in a high-scale data environment
• Work with team members to review and approve code and other software artifacts

• Degree in a quantitative field such as Analytics, Statistics, Economics, Computer Science, Applied Math, or equivalent
• 8+ Years Data Visualization & Data Storytelling
• 8+ Years of Expert SQL including various join types, CTEs, partitioning, pivoting, and aggregates
• 4+ Years designing and implementing "C-Suite" level KPIs to drive business strategy
• 2+ Years developing product experiments, running A/B tests, designing control/sample approach
• 4+ Years Tableau Data Visualization
• 2+ Years experience in applied statistics (e.g. hypothesis testing, regressions, predictive modelings) or experimentation (e.g. A/B testing) in an industry setting
• Understands ETL, data warehousing & Business Intelligence concepts
• Deep experience as an Analyst in one of the following industries: Enterprise Software, SaaS, or Gaming/Monetization, Healthtech or Medtech industries
• Experience working with at least 2 of the following business domains: Marketing, Customer Success, Product, Sales
• Logical, analytical thinker with business acumen
• Strong communication and presentation skills
• Nice to have: Clustering, Segmentation, Data Quality, Snowflake, Salesforce, Gainsight

• Medical, Dental, and Vision Benefits
• Unlimited PTO
• Universal Paid Family Leave
• Company sponsored One Medical memberships and Citibike memberships
• Medical Travel Benefits
• Monthly wellness stipend
• Stock Options and 401k matching program
• Career development opportunities
• Company sponsored social events
• Equal opportunity employer
• Inclusive working environment