Senior Data Analyst - Finance

Mom's Meals • Ankeny, IA

8d • $101,700 - $113,000 • 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 independently partners with executive stakeholders on high-impact data problems. The analyst builds reliable data products, conducts exploratory analysis, and translates findings into recommendations that create measurable business value.

The position is both business-facing and technical, with mentorship, resources, and meaningful ownership. 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. Applicants who require immigration sponsorship or additional or permanent work authorization now or in the future are not being considered.

The salary range is $101,700–$113,000, plus a 10% bonus.

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.
• Demonstrated impact delivering analytics in complex environments with messy data and ambiguous scope, producing 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 to create reproducible workflows, conduct statistical testing, and develop basic models.
• Ability to translate complex analyses into clear narratives, recommended actions, and solutions that support executive decision-making.
• Ability to influence cross-functional partners, set expectations, drive alignment, and maintain trust through clear communication.
• Product mindset: ability to understand and define problem statements and success metrics, iterate with feedback, and 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.
• Implement advanced analytics where applicable, using scalable scripts and Databricks workflows for 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 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 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

• PTO, holiday pay, and 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’ new-hire orientation, training, and onboarding.

What This Job Offers

• Job Type: Full-time
• Career Level: Senior
• Education Level: No Education Listed