Momsmeals6mo ago

Principal Data Analyst

United States·AnkenyRemoteFull-Time, Remotelead

Data ScienceData AnalystDataData & AI

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Quick Summary

Overview

The Principal Data Analyst is a senior, hands-on analytics leader who turns complex, cross‑functional data into clear, actionable insights that drive business outcomes as a consultative partner.

Technical Tools

azurepower-bipythonsqlagiledatabase-designmachine-learningmentoringperformance-optimizationsql-optimization

The Principal Data Analyst is a senior, hands-on analytics leader who turns complex, cross‑functional data into clear, actionable insights that drive business outcomes as a consultative partner. This role sets the bar for analytical rigor, designs enterprise‑grade BI assets, mentors analysts, and partners with business, engineering, and governance to improve decision quality and operational performance. Work emphasizes advanced analytics using Databricks, SQL, R, Power BI, Python, and the Azure data stack.

Salary range: $100,003-120,000 plus 10% bonus

Remote hires will be required to travel to our headquarters in Ankeny, IA (company paid) on their first day for orientation.

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.

Benefits

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

Lead high‑impact analytics initiatives from problem framing through delivery; quantify value, design robust analyses, and communicate recommendations to business partners and executives

Partner with business leaders to identify analytics opportunities and deliver actionable insights. Present findings and recommendations to partners and executive leadership in clear, compelling formats

Develop analytics products and solutions using Databricks, modern Business and Artificial Intelligence tools and Agile principles

Implement advanced analytics where applicable, leveraging Python for advanced analytics, automation, and integration with Databricks workflows

Architect and publish trusted Power BI datasets and dashboards (DAX, Power Query, semantic models), establishing standards for usability and adoption

Build performant Databricks workflows (notebooks, jobs, SQL Warehouses) to wrangle large datasets, engineer features, and automate recurring analyses

Develop Python scripts for automation, data wrangling, and integration with Databricks and Azure services

Partner with Data Engineering on Azure data stack components (Data Factory, ADLS, Synapse/Fabric pipelines) for scalable data solutions

Own analysis quality: data validation, experiment/study design, sensitivity checks, and reproducibility (versioning, documentation)

Define and monitor KPIs; create executive scorecards and operational reporting that tie directly to business objectives

Coach/mentor analysts and BI developers; uplift storytelling, statistical thinking, and visualization craftsmanship across the team

Collaborate with Data Governance and Compliance to ensure appropriate use of PHI and adherence to privacy/security controls

Facilitate data stewardship and literacy across the business

Drive adoption of data products to scale data value

Stay current with emerging technologies and recommend enhancements to the analytics stack

Bachelor’s degree in Data Science, Computer Science, Statistics, Economics or related field

8–10+ years in analytics roles, including 3+ years leading projects

Proven impact delivering analytics in complex environments (multi‑source data, ambiguous scope) with measurable business outcomes

Experience operating in healthcare data environments (or demonstrated ability to quickly adapt to such contexts)

Demonstrated ability to mentor junior analytics professionals

Statistical and financial analytics expertise with deep understanding of appropriate study design and analysis techniques and business case development

Azure Data Stack: Data Factory, ADLS, Synapse/Fabric pipelines; familiarity with security and governance features

Databricks: Spark/SQL, notebooks & jobs, performance tuning, SQL Warehouses

SQL: Strong proficiency (ANSI/T‑SQL); query optimization over large, partitioned tables

R: Applied analytics using tidyverse/ggplot2; reproducible workflows; statistical testing and modeling fundamentals

Python: Data wrangling, automation, integration with Databricks and Azure services

Fabric and Power BI: Data modeling, DAX, Power Query (M), calculation groups, row‑level security, deployment pipelines

Versioning & Reproducibility: Git‑based workflows; disciplined documentation and peer review

Executive storytelling: distill and translate complex analyses into clear narratives and recommended actions or analytics solutions

Stakeholder partnership: influence cross‑functional partners; set expectations and drive alignment

Demonstrated ability to deliver projects with undefined, large and/or complex scope

Agile delivery

Mentorship: develop analysts’ craft (methodology, viz/design, communication)

Product mindset: define problem statements, success metrics, and iterate with feedback – drives adoption of analytics products and solutions

Ownership & judgment: operate independently, make sound trade‑offs, and uphold high quality standards

Master’s degree in Economics, Statistics, Data Science, Computer Science or related field

Certifications in Databricks, Power BI, or cloud platforms (Azure preferred)

Experience with machine learning frameworks and MLOps practices

Familiarity with data governance tools and compliance standards

Knowledge of advanced BI features (Power BI Copilot, AI-driven analytics)

Familiarity with healthcare risk adjustment models such as HCC and CDPS

Familiarity with claims groupers such as Milliman’s HCG

Product management training or analytics product delivery experience

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

Location & Eligibility

Where is the job

Ankeny, United States

Remote within one country

Who can apply

Listed under

United States

Listing Details

Posted: January 8, 2026
First seen: April 13, 2026
Last seen: July 3, 2026

Posting Health

Days active: 86
Repost count: 0
Trust Level: 39%
Scored at: July 9, 2026

Signal breakdown

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Apply for this position

Momsmeals

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Mom's Meals is a leading national provider of home-delivered, medically tailored meals designed to support the nutritional needs of individuals managing chronic health conditions or seeking convenient, healthy meal solutions.

Employees

3k+

Founded

1999

Domain

Jobs

External application · ~5 min on Momsmeals's site

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