Remote Tech Business Analyst: AI-Driven Data & Prototypes

Get Covered Insurance; United States; Remote; USD 80,000 - 100,000; Full time

Job summary

Revyse is seeking a data-centric analyst to shape how our onboarding, verification, and vendor-support platform is built. You will ensure AI tickets are well-contexted, analyze usage and workflow metrics with real data, and rapidly prototype ideas to guide engineers.

The role emphasizes clear written communication, AI literacy, and hands-on product analysis. You’ll work closely with engineers to translate business rules into reliable AI-driven outputs, documenting edge cases and acceptance

Qualifications

• 3+ years as a business analyst, technical analyst, product analyst, data analyst, or in product operations, working closely with engineers.
• Strong SQL. You write your own queries against a real schema, you understand what a join is doing to your row count, and you sanity-check your results before presenting them.
• You can read a database schema and work out how a product behaves from it.
• You already work with AI as a daily tool, not an experiment. You know how to structure context so output is reliable, iterate on prompts, and you know when a model is confidently wrong and you check.
• You can build a rough working thing with AI assistance. Not production code. A prototype good enough that people can react to it instead of imagining it.
• You write clearly. In our setup, clarity is essential.
• Analytical honesty. You quantify, name assumptions, and investigate when numbers don’t reconcile.
• Comfort operating without process scaffolding, and saying not this week with justification when multiple people want the same hour.
• Bonus: B2B SaaS with enterprise customers, compliance- or workflow-heavy products, Python for analysis, or experience maintaining documentation that AI tooling depends on.

Responsibilities

• Context & Documentation: optimize AI ticket context quality, document how platform behaves today, maintain reference material, review tickets against reality, capture acceptance criteria and edge cases.
• Product Data & Analysis: answer product questions with SQL against real data, quantify shipped work, build recurring reports, surface anomalies.
• Prototyping to Communicate: build working prototypes with AI, create screens or scripts to convey ideas, hand intent to engineers clearly.

Skills

SQL

Analytical thinking

AI tooling

Prototype with AI

Clear communication

Tools

Python

Job description

Revyse is seeking a data-centric analyst to shape how our onboarding, verification, and vendor-support platform is built. You will ensure AI tickets are well-contexted, analyze usage and workflow metrics with real data, and rapidly prototype ideas to guide engineers.

The role emphasizes clear written communication, AI literacy, and hands-on product analysis. You’ll work closely with engineers to translate business rules into reliable AI-driven outputs, documenting edge cases and acceptance