Technical Business Analyst

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🔥 0 minutes ago

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Logo of Get Covered

Get Covered

51 - 200 employees

💸 Finance

🛡️ Insurance

🏠 Real Estate

Finance • Insurance • Real Estate

Get Covered is a company that offers comprehensive insurance solutions, specializing in residential, commercial, and pet insurance products. They facilitate rent reporting and credit monitoring, benefiting both property managers and residents. Their platform integrates with the lease signing process to offer customizable insurance options and third-party verification. Get Covered also offers a fully automated software solution for agencies, and supports property managers by minimizing risk and compliance needs. By acting as an intermediary between carriers, agencies, property managers, and distribution partners, they provide seamless customer acquisition technology. With a strong API, Get Covered allows for quick integration and efficient operation in the insurance space.

📋 Description

• Understand and document current platform workflows, exception paths, rules, and undocumented behavior • Build and maintain accurate reference material for AI tooling and engineers • Review tickets and specifications against product reality before development • Define acceptance criteria, edge cases, failure behavior, and explicit non-goals • Answer product questions using SQL against real data • Quantify shipped work and measure outcomes • Build and maintain recurring reporting for cross-functional pods • Surface anomalies, outliers, distribution issues, and unreconciled metrics • Build rough working prototypes using AI tooling • Create screens, scripts, query tools, data views, and small internal tools • Communicate product intent clearly to engineers

🎯 Requirements

• 3+ years as a business analyst, technical analyst, product analyst, data analyst, or in product operations working closely with engineers • Strong SQL skills, including writing queries against real schemas and understanding join effects on row counts • Ability to read database schemas and infer product behavior • Daily practical use of AI tools, including structuring context, iterating prompts, and detecting confidently wrong outputs • Ability to build rough working prototypes with AI assistance • Clear, precise writing • Analytical honesty: quantify findings, state assumptions, and investigate unreconciled numbers • Comfort operating without process scaffolding • Ability to prioritize and decline work when necessary • Bonus: B2B SaaS experience with enterprise customers • Bonus: Experience with compliance- or workflow-heavy products • Bonus: Python for analysis • Bonus: Experience maintaining documentation used by AI tooling

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