Business Intelligence Analyst

Overview

Fetch is looking for a Business Intelligence Analyst to provide support for several business channels, regulatory reporting, and AI enablement. You will build and maintain the SSAS Tabular models, dashboards, and analyses that track partner and sales performance, including compensation programs for our shelter, breeder, and sales channels. You will help develop our enterprise data models, support regulatory reporting, and handle ad hoc requests. You will also help drive BI-led AI initiatives and support AI enablement across the company. Other responsibilities include data quality, performance tuning, data governance, and automation. You will partner with the AVP of Business Intelligence, data engineering, compliance, and various business partners to deliver reliable data and scalable solutions.

Key Responsibilities

• Own and maintain shelter, breeder, and sales reporting, including dashboards and analyses tracking channel performance
• Build and maintain compensation models for shelter, breeder, and sales programs, and provide ongoing analytical support to these teams
• Support Bordereaux, MCAS, and NAPHIA reporting, including recurring submissions, related analyses, and ad hoc requests
• Identify opportunities to streamline semantic codebase, recurring reporting, and to improve data quality and availability
• Field and deliver ad hoc analytics requests from cross-functional partners

Qualifications

Required:

• 1–3 years of experience in a business intelligence, data analytics, or data engineering role
• Proficiency in SQL with building procedures and views, scheduling jobs, querying, and manipulating data
• Experience building dashboards/reports in a BI tool such as Power BI or Tableau
• Strong Excel skills
• Excellent written and verbal communication skills

Preferred:

• Experience in the insurance industry and/or working with enterprise data
• Experience leveraging AI tools as a work acceleration tool (e.g., Claude, Cursor, Gemini)
• Experience building and maintaining SSAS Tabular models
• Bachelor’s degree in a quantitative or technical field (e.g., computer science, data science) or equivalent experience