The Commercial Business Analyst translates complex data into insights for revenue growth and retention, develops KPIs, and builds reporting tools. They work with teams to ensure data consistency and leverage analytics to drive performance and quicken insight generation.
Our Mission
At Big Health, our mission is to help millions back to good mental health by providing fully digital, non-drug options for the most common mental health conditions. Our FDA-clear digital therapeutics—SleepioRx for insomnia and DaylightRx for anxiety—guide patients through first-line recommended, evidence-based cognitive and behavioral therapy anytime, anywhere. Our digital program, Spark Direct, helps to reduce the impact of persistent depressive symptoms.
In pursuit of our mission, we’ve pioneered the first at-scale digital therapeutic business model in partnership with some of the most prominent global healthcare organizations, including leading Fortune 500 healthcare companies and Scotland’s NHS. Through product innovation, robust clinical evaluation, and a commitment to equity at scale, we are designing the next generation of medicine and the future of mental health care.
Our Vision
Over the next 5-10 years, we believe digital therapeutics will transform the delivery of healthcare worldwide by providing access to safe and effective evidence-based treatments. Big Health is positioned to take the lead in this transformation.
Big Health is a remote-first company, and this role can be based anywhere in the US.
Join Us
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.
Key Responsibilities
- 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.
Required Qualifications
- 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; more advanced experience with agentic workflows is a plus
- A track record of using data to deliver actionable insights and performance improvements in a fast-paced, high-growth environment
Background and Life at Big Health
- Backed by leading venture capital firms.
- Big Health’s products are used by large multinational employers and major health plans to help improve sleep and mental health. Our digital therapeutics are available to more than 62 million Medicare beneficiaries.
- Surround yourself with the smartest, most enthusiastic, and most dedicated people you'll ever meet—people who listen well, learn from their mistakes, and when things go wrong, generously pull together to help each other out. Having a bigger heart and a small ego are central to our values.
- Enjoy benefits including a generous vacation policy, professional development fund, flexible working arrangements, and more.
- Competitive salary packages including stock options.
We at Big Health are on a mission to bring millions back to good mental health, in order to do so, we need to reflect the diversity of those we intend to serve. We’re an equal opportunity employer dedicated to building a culturally and experientially diverse team that leads with empathy and respect. Additionally, we will consider for employment qualified applicants with criminal histories in a manner consistent with the requirements of the San Francisco Fair Chance Ordinance.
Top Skills
Looker
Power BI
Python
Salesforce
Snowflake
SQL
Tableau
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