Senior Data Analyst - Finance

Mom's Meals•Ankeny, IA

2d•Remote

About The Position

The Senior Data Analyst turns complex data into clear, actionable insights that drive financial and operational outcomes. The role develops scalable analytics assets for finance and revenue cycle management, connects operational activity to financial performance, and partners independently with executive stakeholders on high-impact data problems. It involves building reliable data products, conducting exploratory analysis, and translating 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 the company headquarters in Ankeny, Iowa, for the first few days for new-hire orientation, training, and onboarding; the company pays for this travel. The salary range is $101,700–$113,000, plus a 10% bonus. Applicants who require immigration sponsorship or additional work authorization now or in the future are not being considered.

Requirements

4–8 years in analytics roles, including at least 2 years leading projects with cross-functional business stakeholders.
At least 2 years writing data directly to a data warehouse.
At least 2 years partnering directly with finance, strategy and operations, FP&A, or revenue cycle management leaders.
Proven impact delivering analytics in complex environments with messy data or ambiguous scope, with measurable business outcomes.
Expertise in statistical and financial analytics, including analysis design, interpretation of results, and business case development.
Expert proficiency writing production-level SQL and optimizing queries over large, partitioned tables.
Knowledge of AI-assisted analytics development and AI-assisted analytics tools.
Experience with Git-based workflows, disciplined documentation, and peer review for versioning and reproducibility.
Comfort with at least one BI platform, such as Power BI, Hex, or Tableau.
Proficiency in R for creating reproducible workflows, conducting statistical testing, and developing basic models.
Ability to translate complex analyses into clear executive narratives, recommended actions, and solutions that support decision-making.
Ability to influence cross-functional partners, set expectations, drive alignment, and maintain trust through clear communication.
Product mindset, including defining problem statements and success metrics and iterating with feedback to drive adoption of analytics products and solutions.

Nice To Haves

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

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 self-service reporting tools and capabilities.
Develop core organizational KPIs and present the success and health of the business to senior stakeholders.
Develop analytics products and solutions using Databricks, dbt, custom scripting, and BI tools.
Use advanced analytics, scalable scripts, and Databricks workflows to support modeling, automation, and repeatable analysis.
Build performant Databricks workflows—including notebooks, jobs, and 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 use reliable data foundations.
Own analysis quality through data validation, experiment and study design, sensitivity checks, reproducibility, versioning, and documentation.
Define and monitor KPIs that tie 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.

Benefits

Paid time off (PTO), holiday pay, and a holiday of choice.
401(k) match.
Life insurance.
Short-term disability.
Health, dental, and vision insurance.
Maternity and paternity leave.
Health savings account (HSA).
Flexible spending accounts (FSA) for health and dependent care.
10% bonus.
Company-paid travel to headquarters for remote hires' initial orientation, training, and onboarding.