Strategic Data Analyst, Growth & Placement

Acrisure

Strategic Data Analyst role providing data-driven insights for C-suite in a fintech company. Engage with multiple sources and communicate findings clearly for business strategies.

Posted 7/17/2026full-timeAustin • Missouri, Texas • 🇺🇸 United StatesMid-LevelSeniorWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in data analytics and analytics engineering, with a strong command of SQL and experience in data modeling using dbt and Palantir. Capable of translating complex datasets into actionable insights for executive stakeholders while maintaining data quality and integrity.

Highest-signal resume keywords

SQL Query DevelopmentData Modeling with dbtPalantir Foundry ExperienceBusiness Intelligence Tools (Tableau, Power BI)Data Quality Validation

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

SQLData AnalyticsAnalytics EngineeringData ModelingComplex Query WritingData TransformationData ValidationData Pipeline DevelopmentExecutive Presentation DevelopmentInsight Memo Writing

Soft Skills

CommunicationCritical EvaluationIntellectual HonestyStakeholder PartnershipProblem-Solving

Tools & Technologies

DbtPalantirTableauPower BICloud Data Warehouse

Industry Keywords

Data AnalyticsBusiness IntelligenceExecutive NarrativesData Quality Best PracticesVersion Control (Git)

Tech Stack

Tools & technologies

CloudSQLTableau

About the role

Key responsibilities & impact

Translate complex, multi-source datasets into concise executive narratives that communicate not just findings but implications and data limitations.
Develop and maintain analytical deliverables including executive-facing presentations, insight memos, and self-service dashboards.
Write sophisticated queries against Palantir Foundry Ontology to extract, transform, and validate data from core operational tables and dbt models.
Contribute to the analytics engineering layer that underpins your work: extend dbt models where needed, help stand up new data pipelines.
Partner with senior stakeholders, including the Chief Strategy Officer, Head of Revenue, and other executive leads to understand their data questions.
Uphold data modeling best practices in the work you touch: clear documentation, version control via Git, incremental build strategies, and data quality validation.
Identify gaps and inconsistencies in data and proactively surface them rather than papering over them.
Leverage AI tools to accelerate both analytical and engineering work while applying rigorous critical evaluation to any AI-generated output.

Requirements

What you’ll need

4–6 years of professional experience in data analytics, analytics engineering, business intelligence, or a strategy-adjacent analytics role.
Strong command of SQL, comfortable writing complex queries involving window functions, CTEs, and multi-table joins.
Hands-on experience with dbt or Palantir for data modeling.
Comfort working with a modern cloud data warehouse.
A demonstrable ability to communicate analytical findings to non-technical executive audiences.
The intellectual honesty to say 'the data doesn't fully answer this question, and here's why'.
Experience with a BI or visualization tool (Tableau, Power BI).
A bachelor's degree in a quantitative or analytical field, or equivalent professional experience.

Benefits

Comp & perks

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
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
FSA, HSA, and commuter benefits options
Paid maternity leave, paid paternity leave, and fertility benefits
Career growth and learning opportunities