Commercial Business Analyst

Big HealthUnited States56 years ago

dataFull-TimeMid Level$125k–$150k USD

Apply on Company Website

Job Overview

Job Title

Commercial Business Analyst

Company

Big Health

Location

United States

Job Type

Full-Time

Experience

Mid Level

Salary

$125k–$150k USD

salescommercialbusiness-analysishealthcare-analyticscommercial-analytics

About This Role

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;