1

Python Data Analysis Jobs in Iowa (NOW HIRING)

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 ...

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 ...

The contractor will contribute to endtoend imaging and analytics from microscopy microspore ... Solutions will be developed primarily in Python, integrated with our repositories and workflow ...

Python Developer

West Des Moines, IA · On-site

$49.25 - $68/hr

... Data analysis, engineering and solutioning • Strong hands-on experience in solutioning using AWS services • Experience in AWS architecture development using Python - boto3 and cloud formation ...

... data analysis and visualization. Your work directly contributes to refining intelligent systems ... JavaScript, TypeScript, Python, C, C#, C++, React, Go, Java, or Swift. Excellent writing and ...

... data analysis and visualization. Your work directly contributes to refining intelligent systems ... JavaScript, TypeScript, Python, C, C#, C++, React, Go, Java, or Swift.Excellent writing and grammar ...

Experience with SQL, Python or R (Alteryx strongly preferred); predictive modeling; statistical analysis; and data integration. * Familiarity with cloud-based data environments, AI/ML concepts, and ...

New

next page

Showing results 1-20

Python Data Analysis information

See Iowa salary details

$12

$55

$81

How much do python data analysis jobs pay per hour?

As of May 30, 2026, the average hourly pay for python data analysis in Iowa is $55.06, according to ZipRecruiter salary data. Most workers in this role earn between $45.38 and $62.55 per hour, depending on experience, location, and employer.

What is a Python Data Analysis job?

A Python Data Analysis job involves using Python programming to collect, clean, analyze, and visualize data for insights and decision-making. Professionals in this role use libraries like Pandas, NumPy, and Matplotlib to manipulate datasets and perform statistical analysis. They may work in various industries, solving business problems, identifying trends, and supporting data-driven strategies. Strong programming skills, data wrangling expertise, and knowledge of analytical techniques are essential for success in this field.

What are the key skills and qualifications needed to thrive in the Python Data Analysis position, and why are they important?

To thrive in a Python Data Analysis role, you need strong proficiency in Python programming, statistical analysis, and data wrangling, often backed by a degree in computer science, mathematics, or a related field. Familiarity with tools such as Pandas, NumPy, Jupyter Notebook, and visualization libraries like Matplotlib or Seaborn, along with potential certifications in data analysis or Python, is highly valuable. Analytical thinking, attention to detail, and effective communication help translate complex data findings into actionable insights for stakeholders. These capabilities are crucial for transforming raw data into meaningful information that supports business decision-making.

What are the typical responsibilities of someone working in Python Data Analysis?

Professionals in Python Data Analysis are usually responsible for collecting, cleaning, and analyzing datasets to uncover trends and inform business strategies. Their daily tasks often include writing Python scripts, visualizing data, conducting statistical analyses, and preparing reports that summarize their findings for both technical and non-technical audiences. Collaboration with data engineers, business analysts, and project managers is common, ensuring that data solutions align with organizational goals. This role offers opportunities to build expertise in specialized areas, such as machine learning or business intelligence, and can lead to career advancement in data science or analytics leadership positions.
What are the most commonly searched types of Python Data Analysis jobs in Iowa? The most popular types of Python Data Analysis jobs in Iowa are:
What are popular job titles related to Python Data Analysis jobs in Iowa? For Python Data Analysis jobs in Iowa, the most frequently searched job titles are:
Infographic showing various Python Data Analysis job openings in Iowa as of May 2026, with employment types broken down into 1% Internship, 1% As Needed, 87% Full Time, 6% Part Time, 1% Temporary, and 4% Contract. Highlights an 93% Physical, 1% Hybrid, and 6% Remote job distribution, with an average salary of $114,527 per year, or $55.1 per hour.
Principal Data Analyst

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 19 days ago


Mom's Meals rating

6.5

Company rating: 6.5 out of 10

Based on 38 frontline employees who took The Breakroom Quiz

10th of 22 rated food delivery companies


Job description

Position Summary
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
Position Responsibilities may include, but not limited to
  • 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
Required Skills and Experience
  • 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
Preferred Skills and Experience
  • 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
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

What Mom's Meals employees say

Pay

Benefits

Hours and flexibility

Workplace

Get the full story on Breakroom