Apply

Ready to go for it?

AI Apply speeds things up—apply directly if you prefer.

FREE ACCESS
5,000–10,000 jobs/day
Scoutfield Logo

See all jobs on Scoutfield

Search thousands of fresh jobs every day.

Discover
  • Fresh listings
  • Fast filters
  • No subscription required
Create a free account and start exploring right away.
Acrisure

Senior Strategic Data Analyst, Growth & Placement

Acrisure

. Own the analytical framing of strategically important and ambiguous questions facing North America Insurance leadership .

Posted 9/24/2026full-timeAustin • Texas • United StatesSeniorWebsite

Core Competencies

Role fit
Core Competencies

Use this summary to align your resume positioning with the role.

Demonstrates expertise in data analytics and analytics engineering, with a strong focus on SQL, data modeling, and AI-augmented analytical workflows. Proven ability to lead multi-quarter initiatives and engage with senior executives to deliver actionable insights.

Highest-signal resume keywords
Expert SQL CommandData Modeling with dbtAI-Augmented Analytical WorkflowsExecutive-Grade CommunicationEnd-to-End Analytical Product Ownership

ATS Keywords

Tailor your resume
Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills
SQLData ModelingAnalytics EngineeringMetric DefinitionQuery OptimizationAI IntegrationData Logic ArchitectureAnalytical StandardsGenerative AI ClassificationMulti-Table Joins
Soft Skills
Problem FramingIntellectual HonestyCollaborationTeam LeadershipCross-Functional Partnership
Tools & Technologies
Palantir FoundryTableauPower BIDbtCloud Data WarehouseGitJira
Industry Keywords
InsuranceFinancial ServicesC-Suite PresentationAgile PracticesAnalytical Playbooks

Tech Stack

Tools & technologies
CloudPythonSQLTableau

About the role

Key responsibilities & impact
  • Own the analytical framing of strategically important and ambiguous questions facing North America Insurance leadership
  • Define analytical approaches and drive work from problem definition through executive-ready recommendations
  • Design and deliver enterprise-scale analytical products from metric definition and data modeling through self-service delivery
  • Engage senior executive stakeholders to shape the analytical agenda and translate ambiguous business questions into defensible answers
  • Lead multi-quarter analytical initiatives across large, multi-source datasets
  • Establish standards for analytical rigor, problem framing, communication of data limitations, and executive trust
  • Write and optimize expert-level SQL against Palantir Foundry
  • Architect data models and pipelines; extend dbt models and Palantir Ontology objects
  • Architect and productionize AI-augmented analytical workflows, including Generative AI classification pipelines
  • Define trustworthy standards for AI-supported analytical workflows
  • Champion intellectual honesty about data limitations and make uncertainty actionable
  • Support collaboration, team leadership, and cross-functional partnership through on-site presence

Requirements

What you’ll need
  • 5–8 years of professional experience in data analytics, analytics engineering, business intelligence, or a strategy-adjacent analytics role
  • Expert command of SQL, including window functions, CTEs, multi-table joins, query optimization, and data logic architecture
  • Track record of owning end-to-end analytical products, from metric definition and data modeling through self-service delivery
  • Deep experience with a modern cloud data warehouse and hands-on data modeling with dbt or an equivalent transformation framework
  • Ability to independently frame ambiguous business problems and drive multi-quarter initiatives with minimal oversight
  • Executive-grade written and verbal communication
  • Experience integrating AI or ML into production-quality analytical workflows
  • Experience with Tableau or Power BI
  • Genuine interest in developing expertise in Palantir Foundry
  • Rigorous validation of AI outputs before business or production use
  • Bachelor's degree in a quantitative or analytical field, or equivalent professional experience
  • Advanced degrees are welcomed but not required
  • Comfortable with an on-site presence
  • Nice to have: Palantir Foundry, Ontology modeling, Workshop application development, Python, insurance or financial services experience, C-suite presentation experience, analytical standards/playbooks, agile practices, Git, and Jira
  • Not able to sponsor visas for this position
  • Final candidates must complete post-offer verification processes

Benefits

Comp & perks
  • 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
  • Wellness resources
  • Employee discount programs
  • Legal plan options