Business Analyst

About Us: EvolutionIQ’s mission is to deliver state of the art technology that helps insurance claims teams make claims handling more accurate, fair, and efficient, so that more people impacted by injury or illness can continue their lives with dignity and stability. We are currently experiencing massive growth and to accomplish our goals, we are hiring world-class talent who want to help build and scale internally, and transform the insurance space. Our team is our #1 priority, and we have been named one of Inc.’s Best Workplaces 3 years in a row and Built In’s Best Places to work in 2025 and 2026!

As a Senior Business Analyst on the Data Science & Insights team you will translate complex data into clear, actionable insights that drive operational change and measurable client outcomes. You will serve as a primary thought partner for Client Strategy in brainstorming new analytical opportunities, defining KPIs, and developing robust, scalable, and trustworthy reporting to inform business strategy.  

You will lead technical development across the Data Science & Insights portfolio, from writing SQL queries to developing reusable Python tools to creating Looker dashboards. You will drive the development of scalable client analytics, from automated reporting and self-service QBRs to high-impact ROI storytelling, while acting as a trusted analytical advisor across Product, Client Services, Sales, and Data Science. The quality of your insights will directly influence product direction, client retention, and how the business evaluates and prioritizes opportunities.

Key Responsibilities:

• Technical Leadership: Scale and automate recurring deliverables, while ensuring data is trustworthy. Provide mentorship to junior team members and encourage best practices for using tools like Python, SQL, and dbt. 
• Analytical Ownership: Owns delivery of end-to-end analytical project lifecycles. Comfortable operating autonomously and driving clarity to define success criteria when initial requirements are ambiguous. Ensure data pipelines are robust and trustworthy, and clearly define project goals and success criteria. 
• Data Storytelling: Create high-impact visualizations and business cases that demonstrate the ROI of AI integration to our B2B clients.
• Stakeholder Synthesis: Collaborate with clients and executive leadership to translate complex business questions into actionable insights. Probe beyond the initial question to uncover the underlying business problems that need solving.
• Driving Clarity: Challenge assumptions not just in your own data and analysis, but in those of your stakeholders. Ensure all team members are aligned on approach and vision.