Senior Strategic Data Analyst, Growth & Placement

Location: Austin, TX (Onsite 4 days per week). Full‑time role. No C2C, C2H, or visa sponsorship.

About Acrisure

Acrisure is a global fintech leader empowering millions of ambitious businesses and individuals with solutions across insurance, reinsurance, payroll, benefits, cybersecurity, mortgage services, and more. Over the past twelve years the company has grown from $38 million in revenue to nearly $5 billion and employs over 19,000 colleagues in more than 20 countries.

Responsibilities

• Own the analytical framing of the most strategically important and ambiguous questions facing North America Insurance leadership, from problem definition through executive‑ready recommendation.
• Design and deliver enterprise‑scale analytical products end‑to‑end—including metric definition, data modeling, and self‑service delivery—for multiple audiences across leadership, operating teams, and downstream analytics.
• Engage senior executive stakeholders proactively to shape the analytical agenda and translate vague business questions into structured, defensible answers.
• Lead multi‑quarter analytical initiatives that require sustained investigation, cross‑functional insight integration, and pattern recognition across large, multi‑source datasets.
• Set the standard for analytical rigor, establishing patterns for problem framing, communicating data limitations, and building analytical trust with executive audiences.
• Write and optimize expert‑level SQL in Palantir Foundry; architect data models and pipelines; extend dbt models and Palantir Ontology objects as needed.
• Architect and productionize AI‑augmented analytical workflows (e.g., generative‑AI classification pipelines) while defining and enforcing trustworthy verification standards.
• Champion intellectual honesty about data limitations, ensuring the team knows when “we don’t know yet” and how to act on that insight.

Requirements

• 5–8 years of professional experience in data analytics, analytics engineering, business intelligence, or a strategy‑adjacent analytics role, with a clear trajectory of increasing scope and autonomy.
• Expert command of SQL, including complex queries with window functions, CTEs, multi‑table joins, and performance optimization.
• Proven track record of owning end‑to‑end analytical products that serve broad stakeholder populations, from metric definition through self‑service delivery.
• Deep experience with a modern cloud data warehouse and hands‑on data modeling using dbt or an equivalent transformation framework.
• Ability to independently frame ambiguous business problems, structure analytical approaches, and drive multi‑quarter initiatives with minimal oversight.
• Executive‑grade communication skills—comfortable presenting to C‑suite audiences, setting discussion terms, and defending analytical positions in real time.
• Intellectual honesty to acknowledge data gaps and make those observations productive.
• Experience integrating AI or ML into production‑quality analytical workflows (e.g., generative‑AI classification pipelines, prompt‑engineered automation, LLM‑integrated products).
• Proficiency with a BI or visualization tool (Tableau, Power BI) and a history of delivering to multiple audiences from a single data foundation.
• Interest in developing deep expertise in Palantir Foundry and becoming a team authority on the platform.
• Bachelor’s degree in a quantitative or analytical field, or equivalent professional experience. Advanced degrees are welcomed but not required.

Preferred Qualifications

• Hands‑on experience with Palantir Foundry, including Ontology modeling or Workshop application development.
• Python proficiency for analytical automation, data transformation, or ML/AI pipeline development.
• Background in insurance, financial services, or other complex B2B commercial environments.
• Direct experience presenting findings to C‑suite audiences and defending recommendations in executive forums.
• Experience establishing analytical standards, playbooks, or reusable patterns adopted by broader analytics teams.
• Familiarity with agile development practices, Git‑based workflows, and project‑tracking tools such as Jira.

Benefits

• Competitive compensation.
• Generous vacation policy, paid holidays, and paid sick time.
• Medical, dental, and vision insurance (employee‑paid).
• Company‑paid short‑term and long‑term disability insurance.
• Company‑paid group life insurance and employee assistance program (EAP) with Calm app subscription.
• Employee‑paid pet insurance and optional supplemental coverage.
• Vested 401(k) with company match, plus 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.
• Physical, mental, financial, and family wellness resources, including wellness subscriptions and legal plan options.