Senior Data Analyst
Listed on 2026-06-25
-
IT/Tech
Data Analyst, Business Systems/ Tech Analyst, Data Engineering, Data Science Manager
Vouch is the insurance broker that powers ambition.
We’re a tech-enabled insurance advisory and brokerage purpose-built for growing companies in technology, life sciences, and professional services. Our clients are ambitious leaders building complex businesses, and we help them manage risk with tailored advice, smart coverage, and responsive service.
Backed by over $200M from world-class investors, Vouch combines deep industry expertise with AI-powered tools to deliver a better insurance experience. Our digital workflows reduce friction, speed up decisions, and give our clients the confidence to move faster.
Why should you join our team and Vouch?Not only is this an exciting and growing team where you can drive a real impact on our operational scalability, but Vouch is also the preferred insurance provider to customers of Y Combinator, Brex, Carta, and WeWork. We’re a quickly growing startup that believes in transparency and acknowledgment with our team members and cultivating a values-driven company. Our values are "Be Client Obsessed", "Own it together", "Act with integrity and empathy", "Stay Curious and Grow", and "Empower People."
Whatdoes a work environment look like at Vouch?
Vouch has employees located across the U.S., with offices in San Francisco, Chicago, and New York City. While this role has hybrid work flexibility, we require team members to be in the office at least three days per week (Tuesday, Wednesday and Thursday) to foster close collaboration and team building.
Role ResponsibilitiesAt Vouch, we believe risk management should unlock big bets, not block them – and data is how we keep getting better Senior Data Analyst for our GTM team, you’ll be the analytical engine that helps us win: turning data into the insight that sharpens how we advise, broker and grow. And when our team wins, our clients win – getting the expertise, clarity, and confidence to focus on building what’s next.
You’ll own that work end-to-end, from the first business question to the dashboards the team relies on every day.
- Provide analytical leverage to Horizon leadership
- Develop an advanced understanding of Vouch's business model and its drivers, with deep focus on the Horizon business unit
- Act as the analytical right hand to Horizon leadership, surfacing the insights they need to optimize their sales motion, improve conversion rates, and accelerate pipeline, etc.
- Build and maintain the dashboards leadership relies on for financial and operational tracking (e.g., progress to financial targets, progress to quota, pipeline health, etc.) so the team always knows where it stands
- Perform analyses (e.g., funnel analytics, multi-touch attribution, conversion, segmentation, etc.) to pinpoint where deals stall, which channels and touches drive wins, and where the motion can be improved
- Tie analyses and recommendations back to core business metrics (e.g., revenue, conversion rates, retention, etc.)
- Define the metrics and partner to build the right data foundation
- Conduct discovery with stakeholders across GTM, Finance, Rev Ops, and leadership to identify the data and metrics they need to answer their business questions
- Propose standardized metric definitions and drive buy-in across stakeholders
- Translate business questions into clear data and instrumentation requirements, and partner closely with Engineering to get the right event tracking and data models built and maintained
- Build the analysis layer on top (e.g., analytical frameworks, dashboards, and self-serve reporting in Salesforce and Mode, etc.), and document metric definitions and logic clearly for scalability and reuse
- Lead data projects from discovery to activation and post-launch, in collaboration with a cross-functional team across GTM, Finance, Product, Engineering
- 3–6 years in a data analyst, GTM data analyst, Rev Ops data analyst, Sales Ops data analyst, consultant or equivalent quantitative analytical role
- Bachelor's or advanced degree in statistics, math, economics, computer science, finance, or equivalent practical experience
- Eager to learn new tools and continually sharpen your technical skill set
(If this job is in fact in your jurisdiction, then you may be using a Proxy or VPN to access this site, and to progress further, you should change your connectivity to another mobile device or PC).