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Business Analyst

🏢 Evolutioniq · 📍 New York, New York
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Position Summary & Responsibilities

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 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 work with leaders across DS&I and Client Strategy to identify KPIs and develop robust, scalable, and trustworthy reporting to both track historical metrics and inform resulting business strategy.  

You will support technical development across the Data Science & Insights portfolio, from writing SQL queries to developing reusable Python tools to creating Looker dashboards. You will help drive the evolution 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:

  • Report Quality: Review data artifacts to ensure that data transformations are accurate and reporting correctly communicates the metrics in question. 
  • Scale Reporting Infrastructure: Build out tooling to scale and automate client reporting, while ensuring data is trustworthy. Support contribution to team's github code repositories with strong Python and SQL skills, with a willingness to learn additional tools like dbt
  • Data Storytelling: Create high-impact visualizations and business cases that demonstrate the ROI of AI integration to our B2B clients.
  • Stakeholder Syn
🎯 Candidate Preparation Guide For Evolutioniq Applicants

Key Role Competencies & Evaluation Highlights

Key Role Focus:

Ability to apply complex machine learning and data science to legacy insurance workflows to drive measurable claims optimization.

📋 Preparation Priorities (Key Areas to Clarify):
  • 1. Proposing 'AI magic' without understanding the strict regulatory and actuarial constraints of insurance
  • 2. Focusing purely on model accuracy rather than business adoption and ROI metrics
  • 3. Inability to explain complex technical concepts to non-technical insurance executives
✨ Recommended Role Alignment Hook:

I build predictive models that don't just sit in notebooks, but integrate seamlessly into adjuster workflows to drastically reduce claim duration.

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