Senior Data Analyst

Camber
New York, NYPosted 21 February 2026

Job Description

About Us:Camber builds software to improve the quality and accessibility of healthcare. We streamline and replace manual work so clinicians can focus on what they do best: providing great care. For more details on our thesis, check out our write-up: What is Camber?We’ve raised $50M in funding from phenomenal supporters at a16z, Craft Ventures, YCombinator, Manresa, and many others who are committed to improving the accessibility of care. For more information, take a look at: Announcing CamberAbout our Culture:Our mission to change behavioral health starts with us and how we operate. We don’t want to just change behavioral health, we want to change the way startups operate. Here are a few tactical examples:1) Improving accessibility and quality of healthcare is something we live and breathe. Everyone on Camber’s team cares deeply about helping clinicians and patients.2) We have to have a sense of humor. Healthcare is so broken, it's depressing if you don't laugh with us.About the role:Our team is growing rapidly, and we’re looking for mission-driven, customer-focused data folks who care about creating positive impact, love working directly with users to solve challenging problems, and who will thrive in the fast-paced start-up life. This person will work with both technical and non-technical teammates to design and drive investigations into complex business problems, and to propose data-informed solutions. What you'll do:Partner directly with clinics and internal stakeholders to understand needs and define reporting requirements for areas such as financial performance (e.g., billing, collections, revenue) and operational efficiency (e.g., authorization, task workflows).Design, build, and maintain high-quality dashboards and reports that surface actionable insights for both clinics and internal teams.Uphold trust in data by ensuring accuracy, consistency, and quality across reporting pipelines.Translate business questions into clear analytical approaches, and present findings in compelling ways to both technical and non-technical audiences.Help shape the future of reporting at Camber by identifying opportunities for new metrics, improved workflows, and scalable analytics practices.What we're looking for: 5+ years of experience in a data analyst or similar role.Strong SQL skills with experience working with large, complex datasets.Exceptional analytical problem-solving and business modeling skills.Excellent communication and storytelling abilities — able to distill complex analyses into clear insights and recommendations.Strong ability to handle ambiguity and operate independently, manage multiple priorities, and drive projects from 0 to 1.Nice to have:Experience with report builder tools (e.g., Hex, Sigma, Tableau, Holistics, React.js).Experience with visualization libraries (e.g. MatplotLib, Plotly, Chart.js, D3.js).Familiarity with ETL and data transformation tools (e.g., Python, Spark, dbt).Experience working with healthcare or health insurance data.Perks & Benefits at Camber:Comprehensive Health Coverage: Medical, dental, and vision plans with nationwide coverage, including 24/7 virtual urgent care.Mental Health Support: Weekly therapy reimbursement up to $100, so you can prioritize the care that works best for you.Paid Parental Leave: Up to 12 weeks of fully paid time off for new parents (birth, adoption, or foster care).Financial Wellness: 401K (traditional & Roth), HSA & FSA options, and monthly commuter benefits for NYC employees.Time Off That Counts: 18 PTO days per year (plus rollover), plus office closures for holidays, monthly team events, company off-sites, and daily, in-office lunches for our team.Fitness Stipend: $100/month to use on fitness however you choose.Hybrid Flexibility: In NYC? We work in the office 3–5x/week, with flexibility when life happens. Fridays are remote-friendly.Camber is based in New York City, and we prioritize in-person and hybrid candidates. Please refer to the top of this page for this po ... (truncated, view full listing at source)
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