Senior Data Analyst - Finance

Mom's Meals | A Purfoods Company; Ankeny (IA); A distancia; USD 102.000 - 113.000; Jornada completa

Ventajas ofrecidas por este puesto de trabajo

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

Descripción de la vacante

Mom's Meals | A Purfoods Company is seeking a Senior Data Analyst to transform complex data into actionable insights that improve financial and operational outcomes. You will build scalable analytics assets for finance and revenue cycle management, partner with executives, and deliver data products and dashboards using Databricks, SQL, R, and Power BI.

Remote-friendly role requiring occasional travel to headquarters in Ankeny, IA; immigration sponsorship is not available.

Formación

• 4-8 years in analytics roles with cross-functional collaboration
• 2+ years writing data to a data warehouse
• 2+ years partnering with finance, strategy, ops, FP&A, or revenue cycle management
• Proven impact delivering analytics in complex environments with measurable business outcomes
• Statistical and financial analytics expertise including analysis design and business case development
• Proficiency in producing production-level SQL over large, partitioned tables
• Knowledge of AI-assisted analytics development and tools
• Versioning and reproducibility using Git-based workflows and disciplined documentation
• Comfort with at least one BI platform (Power BI, Hex, Tableau)
• Proficiency in R for reproducible workflows and statistical testing
• Executive storytelling to translate analyses into clear actions
• Stakeholder partnership to influence cross-functional teams
• Product mindset to define problems, success metrics, and drive adoption of analytics products

Responsabilidades

• 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
• Develop core organizational KPIs and present health of the business to senior stakeholders
• Develop analytics products using Databricks, dbt, scripting, and BI tools
• Implement advanced analytics with scalable scripts and Databricks workflows for modeling and automation
• Build performant Databricks workflows to wrangle large datasets, engineer features, and automate analyses
• Collaborate with Data Engineering to design scalable data solutions built on reliable data foundations
• Own analysis quality through validation, experiment design, sensitivity checks, reproducibility, and documentation
• Define and monitor KPIs tying reporting to business objectives
• Adopt BI development standards across the organization (naming, docs, quality checks, release practices)
• Stay current with analytics methodologies, technologies, and capabilities

Conocimientos

Databricks

SQL

R

Power BI

Executive storytelling

Cross-functional collaboration

Data validation

Analytical modeling

AI-assisted analytics

Git-based workflows

Herramientas

dbt

Git

Power BI

Descripción del empleo

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: $101,700-113,000 plus 10% bonus

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

Position Responsibilities may include, but not limited to

• 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

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: 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