Senior Data Analyst - Finance
Role Overview
Senior Data Analyst turning complex data into actionable insights for financial and operational outcomes.
Develops scalable analytics assets for finance and revenue cycle management, connecting operational activity to financial performance.
Works independently with executive stakeholders on high-impact data problems, building reliable data products and recommendations.
Primary tools include Databricks, SQL, R, Power BI, and related Microsoft Fabric capabilities.
Key Skills for This Role
Full Job Posting
Role overview
Senior Data Analyst turning complex data into actionable insights for financial and operational outcomes.
Develops scalable analytics assets for finance and revenue cycle management, connecting operational activity to financial performance.
Works independently with executive stakeholders on high-impact data problems, building reliable data products and recommendations.
Primary tools include Databricks, SQL, R, Power BI, and related Microsoft Fabric capabilities.
Responsibilities
- Lead analytics initiatives from problem framing through delivery; quantify value, design analyses, and communicate recommendations.
- Partner with finance and revenue cycle management stakeholders to develop self-service reporting tools.
- Develop organizational KPIs and present business performance to senior stakeholders.
- Build analytics products using Databricks, dbt, custom scripting, and BI tools.
- Use scalable scripts and Databricks workflows for modeling, automation, and repeatable analysis.
- Build performant Databricks notebooks, jobs, and SQL Warehouses to process large datasets and automate recurring analyses.
- Partner with Data Engineering on scalable data solutions, upstream requirements, and reliable data foundations.
- Ensure analysis quality through validation, study design, sensitivity checks, reproducibility, versioning, and documentation.
- Define and monitor KPIs aligned with business objectives; champion BI standards and stay current with analytics technologies.
- Define problem statements and success metrics, iterate with feedback, and support adoption of analytics products.
Required skills and experience
- 4–8 years in analytics, including at least 2 years leading cross-functional stakeholder projects.
- At least 2 years writing data directly to a data warehouse and 2 years partnering with finance, strategy and operations, FP&A, or revenue cycle leaders.
- Proven analytics impact in complex environments with measurable business outcomes.
- Statistical and financial analytics expertise, including analysis design, interpretation, and business case development.
- Expert production SQL, including query optimization over large, partitioned tables; proficiency in R for reproducible workflows, testing, and basic models.
- Knowledge of AI-assisted analytics development and tools; Git-based workflows, disciplined documentation, and peer review.
- Comfort with at least one BI platform, such as Power BI, Hex, or Tableau.
- Ability to communicate complex analyses clearly, influence cross-functional partners, drive alignment, and maintain trust.
Remote work and onboarding
- Remote hires must travel to the company’s Ankeny, Iowa headquarters for the first few days for orientation, training, and onboarding; travel is company-paid.
Compensation
- Salary range is $101,700–$113,000, plus a 10% bonus.
Benefits
- Benefits include PTO, holiday pay, a holiday of choice, 401(k) match, life insurance, short-term disability, health, dental and vision insurance, parental leave, and health savings and flexible spending accounts.
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