AI Underwriting Vendor Data Analyst
About the position NEXT's mission is to help entrepreneurs thrive. We're doing that by building the only technology-led, full-stack provider of small business insurance in the industry, taking on the entire value chain and transforming the customer experience. Simply put, wherever you find small businesses, you'll find NEXT. Since 2016, we've helped hundreds of thousands of small business customers across the United States get fast, customized and affordable coverage. We're backed by industry leaders in insurance and tech, and we still have room to grow - that's where you come in. Join our AI Underwriting team as a Vendor Data Analyst and play a key role in shaping how external data powers underwriting decisions. This role combines vendor coordination, project management, and hands-on data analysis. You'll research vendors, manage Proofs of Concept, monitor data usage, and triage issues-helping NEXT get the most value from its external data partnerships. Responsibilities • Research potential new data vendors and prepare supporting materials. • Track and project manage Proofs of Concept, ensuring milestones are met and results are captured. • Retrieve PoC data, perform initial analysis, and summarize findings for review. • Support the contracting process for vendors, coordinating with legal, finance, and vendors for POCs, new contracts, and renewals. • Triage vendor issues as the first point of contact; escalate unresolved problems as needed. • Monitor usage dashboards for fill rates, spend, and anomalies; prepare reports comparing usage to budget. • Own and update vendor documentation, including information from contracts, product catalogs, and performance notes. • Work with internal Product Managers to provide sample queries; run data analysis using SQL and Python. Requirements • Vendor Support: Strong organizational skills to manage intake, track PoCs, and coordinate across multiple vendor projects. • Data Skills: Ability to work with SQL or Python for data retrieval and analysis; comfort interpreting vendor datasets. • API Familiarity: Understanding of APIs and ability to interpret responses; willingness to learn Postman or similar tools. • Communication: Clear written and verbal skills for summarizing results and coordinating with stakeholders. • Problem-Solving: Ability to triage vendor issues and follow through to resolution. • Documentation: Attention to detail in maintaining accurate vendor records and data usage documentation. Nice-to-haves • Experience with vendor coordination, procurement workflows, or data operations. • Prior exposure to insurance, fintech, or other regulated industries. • Familiarity with collaboration/documentation tools such as Confluence. Apply tot his job