Business Analyst, Commercial

Noom Growth
New York, New York, United States$101k – $129kPosted 25 March 2026

Job Description

Noom is on a mission to help people live better, longer. We’re a consumer-led digital health company, connecting people to content, coaching, community, and clinicians, to build lasting habits and live healthier lives. We’re a high-growth organization powered by science, technology, and world-class talent. When you join Noom, on any team, you’ll see the impact of your work on the world. Our B2B Team Noom’s B2B team partners with employers, health plans, and organizations to deliver scalable, data-driven health solutions that improve outcomes and drive measurable value. By combining behavioral science with robust analytics, this team ensures our partners have the insights and tools needed to support their populations and make confident, informed decisions. About the Role As we continue to grow, we’re seeking a Business Analyst, Commercial to deliver high-quality analytics, reporting, and insights that power client success and commercial decision-making. In this highly cross-functional role, you’ll partner with Client Success, Sales, Product, Data/Analytics Engineering, and Operations to ensure our enterprise clients have accurate, actionable data. Your work will span dashboard development, ad-hoc analysis, and data quality improvements—enabling stakeholders to self-serve insights without compromising accuracy or compliance. You Will Own client-facing reporting and analytics delivery for QBRs, renewals, and expansion efforts, including engagement, outcomes, utilization, and program performance insights Deliver high-impact ad-hoc analyses for Sales, Client Success, and leadership, translating ambiguous questions into clear metrics, queries, and actionable outputs Build, maintain, and enhance Looker dashboards and explores, improving usability through standardized definitions, intuitive design, and clear documentation Ensure data accuracy and consistency by proactively validating dashboards, managing changes in upstream data, and performing regression checks Investigate and resolve data discrepancies in partnership with Data/Analytics Engineering, identifying root causes and clearly communicating outcomes to stakeholders Support operational analytics across billing, eligibility, and partner reporting requirements, while driving scalability through standardization, automation, and documentation About You If you’re interested in shaping the future of health by delivering trusted, scalable analytics that empower enterprise partners, this role may be for you! You Have Bachelor’s degree in Business, Economics, Statistics, Mathematics, Computer Science, or a related field (or equivalent practical experience) 3+ years of experience in business or data analytics, ideally in healthcare, benefits, or B2B SaaS environments Strong proficiency in SQL, including joins, aggregations, window functions, and debugging complex datasets Hands-on experience with Looker or similar BI tools, building dashboards and stakeholder-facing reports Proven ability to translate complex, ambiguous questions into clear analyses and actionable insights Excellent communication skills, with the ability to explain methodologies and findings to both technical and non-technical audiences Experience with healthcare data (e.g., eligibility, enrollment, outcomes, or claims concepts) is a plus Familiarity with modern data stacks (e.g., dbt, Snowflake, Databricks, BigQuery) and data quality practices Experience supporting Client Success or Sales workflows (e.g., QBRs, renewals, expansion analytics) preferred Comfort working in a fast-paced, ticketed environment (e.g., Jira) with shifting priorities What Makes This Job Amazing You’ll help millions of people live healthier lives while supporting enterprise partners at scale You’ll work on high-impact analytics that directly influence renewals, expansion, and client trust You’ll partner with a strong cross-functional group spanning Client Success, Sales, Product, and Data You’ll grow quickly in a tr ... (truncated, view full listing at source)
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