Senior Data Analyst - Finance

The Senior Data Analyst turns complex data into clear, actionable insights that drive financial and operational outcomes. In this role, you will develop scalable analytics assets for finance and revenue cycle management, connect operational activity to financial performance, and partner independently with executive stakeholders on high-impact data problems. You will build reliable data products, conduct exploratory analysis, and translate findings into recommendations that create measurable business value.

Do you enjoy building systems you can take pride in, discovering insights that create measurable value, and working in a role that is both business-facing and technical? If you want to grow your data career with mentorship, resources, and meaningful ownership, this could be a great role for you.

The primary tools used in this role are Databricks, SQL, R, Power BI, and related Microsoft Fabric capabilities.

Remote hires will be required to travel to our headquarters in Ankeny, IA (company paid) their first few days for new hire orientation, training, and onboarding.

At this time, we are NOT considering applicants that require immigration sponsorship (additional work authorization or permanent work authorization) now or in the future to work in the United States. This includes, but IS NOT LIMITED TO: F1-OPT, F1-CPT, H-1B, TN, L-1, J-1, etc.

Salary range: $,000 plus 10% bonus

Benefits

Our employees enjoy a generous package of benefits that we are thrilled to provide, and feel is part of what makes us different as an employer. We value our team members, and this is one way we can show it.

Benefits include:

• PTO, holiday pay and holiday of choice
• 401(k) match
• Life insurance
• Short-term disability
• Health, dental and vision insurance
• Maternity/paternity leave
• Health savings account (HSA)
• Flex spending accounts (FSA) – health and dependent

• Support high-impact analytics initiatives from problem framing through delivery; quantify value, design robust analyses, and communicate recommendations to business partners and executives
• Partner with finance and revenue cycle management stakeholders to develop new self-service reporting tools and capacities
• Develop core organizational KPIs and directly present on the success and health of our business to senior stakeholders
• Develop analytics products and solutions using Databricks, dbt, custom scripting, and BI tools
• Implement advanced analytics where applicable, using scalable scripts and Databricks workflows to support modeling, automation, and repeatable analysis
• Build performant Databricks workflows (notebooks, jobs, SQL Warehouses) to wrangle large datasets, engineer features, and automate recurring analyses
• Partner with Data Engineering to design scalable data solutions, clarify upstream data requirements, and ensure analytics assets are built on reliable data foundations
• Own analysis quality through data validation, experiment and study design, sensitivity checks, reproducibility, versioning, and documentation
• Define and monitor KPIs tying operational reporting directly to business objectives
• Adopt and champion BI development standards across the organization, including naming conventions, documentation expectations, quality checks, and release practices
• Stay current with emerging analytics methodologies, technologies, and capabilities

• 4-8 years in analytics roles, including 2+ years leading projects with cross-functional business stakeholders
• 2+ years writing data directly to a data warehouse
• 2+ years partnering directly with finance, strategy and ops, FP&A, or revenue cycle management leaders
• Proven impact delivering analytics in complex environments (messy data, ambiguous scope) with…