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The Commercial Business Analyst at Big Health develops a deep understanding of program, clinical, and commercial performance to answer key questions about the health and impact of our digital therapeutics. This role translates complex healthcare and commercial data into clear stories, insights, and recommendations that drive revenue growth, customer retention, and measurable clinical and economic value. This individual partners closely with Big Health teams to build internal and external reporting, define and track healthcare KPIs, and support development of executive-level external (e.g. QBRs) and internal (e.g.: ELT, BoD) reporting. The role leverages modern analytics tools and eventually large language models (LLMs) to accelerate insights and enable the commercial team.
Job Responsibility:
Define and maintain KPIs and metrics across the customer and patient lifecycle
Use BI tools (e.g., Snowflake, Looker, Salesforce) to build and maintain internal and external reporting, such as OKR dashboards, scorecards, and healthcare program performance
Work closely with Engineering and Product (Studio) teams on underlying data models, metric definitions, and data pipelines to ensure consistency across the organization
Support development of QBRs, executive business reports, and Board materials by assembling data, generating insights, building visualizations, and crafting clear narratives for clinical, operational, and financial KPIs
Design. launch, and operationalize LLM-enabled workflows and AI-powered assistants that turn raw data into usable narratives and insights (e.g., summarizing account performance, drafting QBR materials, synthesizing qualitative feedback), in close partnership with Studio
Evaluate emerging LLM/AI capabilities to automate or augment commercial reporting and decision-making (e.g., automated account health digests, opportunity risk flags, pipeline and utilization summaries)
Analyze data to identify trends, leading indicators, and risk signals related to program health, customer satisfaction, renewals, and expansion opportunities
Requirements:
3-6 years of experience in healthcare analytics, healthcare business analysis, or data science (e.g., digital health, payer, provider, health tech)
Bachelor’s degree in a quantitative field (e.g., Statistics, Data Science, Health Informatics) or equivalent practical experience
Experience working with healthcare datasets (e.g., claims, EMR/EHR, digital engagement data)
Strong analytical skills and experience with data modeling and performance measurement in a healthcare context
Proficiency in SQL and experience with at least one analytics language (e.g., Python) for querying, transforming, and analyzing datasets
Experience building reports and dashboards in modern BI tools (e.g., Looker, Tableau, Power BI) to support data-driven decision-making
Familiarity with CRM and commercial reporting (ideally Salesforce), including connecting accounts, pipeline, and revenue metrics to program performance and outcomes
Demonstrated experience using or enabling LLM-based tools to accelerate analysis, insight generation, or content creation, and contributing to the design of AI-powered assistants or automated workflows
A track record of using data to deliver actionable insights and performance improvements in a fast-paced, high-growth environment
Nice to have:
more advanced experience with agentic workflows is a plus
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