> Markdown version of [/jobs/ext/3851790-senior-data-analyst-finance](https://www.wearedevelopers.com/jobs/ext/3851790-senior-data-analyst-finance). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Senior Data Analyst - Finance - **Company:** Mom's Meals - **Location:** Ankeny, IA, United States (Remote available) - **Experience:** Expert - **Salary:** $101,700.0 - $113,000.0 - **Contract:** Permanent contract - **Skills:** Business Analytics Applications, Microsoft Azure, Business Intelligence Development, Big Data, Data Validation, Information Engineering, Data Warehousing, Query Optimization, Power BI, SQL Databases, Tableau (Software), Management of Software Versions, Git Flow, Collibra, Data Analytics, Databricks - **Published:** October 21, 2026 - **Apply:** https://www.nexxt.com/job.asp?id=3462150232&tx=ZT1716TYT&pt=1&aff=0B19D771-A501-4A5E-8338-2A822B784D54&utm_source=Job%20Feed&utm_medium=textkernel&utm_campaign=DE&utm_term=0B19D771-A501-4A5E-8338-2A822B784D54 ## About the Role * 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: Git-based workflows; disciplined documentation, and peer review * Comfort in at least one BI platform like 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 - drives adoption of analytics products and solutions Preferred Skills and Experience * 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 Physical Requirements * Repetitive motions that include the wrists, hands and/or fingers * Sedentary work that primarily involves sitting, remaining in a stationary position for prolonged periods * Visual perception to perform job including peripheral vision, depth perception, and the ability to adjust focus ## Description * 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