Strategic Data Analyst, Growth & Placement

Role Overview

A Strategic Data Analyst will work directly alongside a small, high-visibility team that serves Acrisure’s most senior executive stakeholders, translating complex data assets into decisions that drive revenue and operational performance.

What You Will Do

The role involves translating complex, multi-source datasets into concise executive narratives, developing and maintaining analytical deliverables, and contributing to the analytics engineering layer that underpins the work.

Why It Might Be a Fit

The ideal candidate will have 4–6 years of professional experience in data analytics, a strong command of SQL, and hands-on experience with dbt or Palantir for data modeling.

Requirements

• 4–6 years of professional experience in data analytics, analytics engineering, business intelligence, or a strategy-adjacent analytics role.
• Strong command of SQL you are comfortable writing complex queries involving window functions, CTEs, and multi-table joins, and you can read and debug queries you didn’t write.
• Hands-on experience with dbt or Palantir for data modeling — you understand the mechanics of models, tests, documentation, and incremental materialization strategies — or equivalent data modeling experience in another modern data warehouse environment.
• Comfort working with a modern cloud data warehouse.
• A demonstrable ability to communicate analytical findings to non-technical executive audiences — in writing, in decks, and in conversation.
• The intellectual honesty to say ‘the data doesn’t fully answer this question, and here’s why’ and to make that observation useful rather than deflating.
• Experience with a BI or visualization tool (Tableau, Power BI).
• A genuine interest in learning Palantir Foundry and the intellectual openness to develop deep expertise as part of your growth on the team.
• Comfort operating in ambiguity with a small, fast-moving team where the scope of your role will evolve as the function matures.
• A skeptic’s relationship with AI tools — you use them, you benefit from them, but you verify their outputs rather than accepting them at face value.
• A bachelor’s degree in a quantitative or analytical field, or equivalent professional experience.

Benefits

• Competitive compensation
• Generous vacation policy, paid holidays, and paid sick time
• Medical Insurance, Dental Insurance, and Vision Insurance (employee-paid)
• Company-paid Short-Term and Long-Term Disability Insurance
• Company-paid Group Life insurance
• Company-paid Employee Assistance Program (EAP) and Calm App subscription
• Employee-paid Pet Insurance and optional supplemental insurance coverage
• Vested 401(k) with company match and financial wellness programs
• Flexible Spending Account (FSA), Health Savings Account (HSA) and commuter benefits options
• Paid maternity leave, paid paternity leave, and fertility benefits
• Career growth and learning opportunities

Tagged as: Data Analysis