Senior Data Analyst - Finance

Overview

This Senior Data Analyst role turns complex data into clear, actionable insights that drive financial and operational outcomes. The position involves developing scalable analytics assets for finance and revenue cycle management, connecting operational activity to financial performance, and partnering 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.

Primary tools include Databricks, SQL, R, Power BI, and related Microsoft Fabric capabilities.

Remote hires must travel to headquarters in Ankeny, IA for new hire orientation, training, and onboarding (company paid) during the first few days.

At this time, the employer is 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, including (but not limited to) F1-OPT, F1-CPT, H-1B, TN, L-1, J-1.

Responsibilities

• 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 capabilities
• Develop core organizational KPIs and present on the success and health of the 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

Required Skills and Experience

• 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 measurable business outcomes
• Statistical and financial analytics expertise, including analysis design, interpretation of results, and business case development
• Expert proficiency in writing production-level SQL with query optimization over large, partitioned tables
• Knowledge of AI-assisted analytics development and AI-assisted analytics tools
• Versioning and reproducibility using Git-based workflows; disciplined documentation and peer review
• Comfort in at least one BI platform such as Power BI, Hex, Tableau, etc.
• Proficiency in R to create reproducible workflows, conduct statistical testing, and develop basic models
• Executive storytelling: translate complex analyses into clear narratives, recommended actions, and solutions that support decision-making
• Stakeholder partnership: influence cross-functional partners, set expectations, drive alignment, and maintain trust through clear communication
• Product mindset: understand and define problem statements, success metrics, and iterate with feedback to drive adoption of analytics products and solutions

Preferred Qualifications

• Certifications in Databricks, dbt, Power BI, or cloud platforms (Azure preferred)
• Familiarity with data governance tools and compliance standards
• Product management training or analytics product delivery experience

Compensation & Benefits

Salary range: $101,700–$113,000 plus 10% bonus

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

Location

Remote (with required travel to headquarters in Ankeny, IA for new hire orientation, training, and onboarding during the first few days, company paid).