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Freelance Python Data Analysis Jobs in Grand Rapids, MI

BDO

Power BI Lead Developer

Grand Rapids, MI · On-site

Data Analytics, Business Intelligence, Machine Learning, Power BI, Azure, DAX, API, RLS, Row Level Security, Application Programming Interface, Data Analysis Expression, Power Automate, Python ...

BDO USA

Power BI Lead Developer

Grand Rapids, MI · On-site

Data Analytics, Business Intelligence, Machine Learning, Power BI, Azure, DAX, API, RLS, Row Level Security, Application Programming Interface, Data Analysis Expression, Power Automate, Python ...

twenty80.io

Imaging Systems Engineer

Zeeland, MI · On-site

$95K - $105K/yr

Collect, analyze, and interpret image data using both quantitative metrics and visual assessments ... Strong programming or scripting experience using Python and/or MATLAB. * Experience working with ...

FocusKPI

Marketing Operations Analyst

Allendale, MI · On-site

Proficiency in SQL for data manipulation and analysis. Comfortable with Python. * Experience working within data platforms like Databricks/Snowflake, and analytics modeling platforms such as Tableau

FocusKPI

Marketing Operations Analyst

Allendale, MI

Proficiency in SQL for data manipulation and analysis. Comfortable with Python. * Experience working within data platforms like Databricks/Snowflake, and analytics modeling platforms such as Tableau

FocusKPI

Marketing Operations Analyst

Grand Rapids, MI · On-site

Proficiency in SQL for data manipulation and analysis. Comfortable with Python. * Experience working within data platforms like Databricks/Snowflake, and analytics modeling platforms such as Tableau

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How much do freelance python data analysis jobs pay per hour?

As of Aug 7, 2026, the average hourly pay for freelance python data analysis in Grand Rapids, MI is $56.30, according to ZipRecruiter salary data. Most workers in this role earn between $46.39 and $63.94 per hour, depending on experience, location, and employer.

What is freelance Python data analysis?

Freelance Python data analysis involves using the Python programming language to analyze and interpret data for clients on a project or contract basis. Freelancers in this field typically work with datasets to extract insights, visualize results, and help businesses make data-driven decisions. They often use libraries such as pandas, NumPy, and matplotlib, and may work across industries like finance, marketing, healthcare, and technology. Freelancers enjoy flexibility in choosing their projects and clients, and often work remotely.

What are the key skills and qualifications needed to thrive as a freelance Python data analyst?

To thrive as a Freelance Python Data Analyst, you need strong analytical skills, proficiency in Python programming, and a solid understanding of statistics and data manipulation, often backed by a relevant degree or proven portfolio. Experience with tools such as Pandas, NumPy, Jupyter Notebooks, and data visualization libraries like Matplotlib or Seaborn is typically required. Excellent problem-solving abilities, communication skills, and the ability to manage projects independently distinguish top performers in this role. These skills enable analysts to deliver actionable insights, meet client expectations, and maintain a successful freelance business.

What freelance jobs can I do with Python?

Freelance Python data analysts can find jobs in data cleaning, visualization, statistical analysis, and machine learning projects. They often work with tools like Pandas, NumPy, and Jupyter Notebooks, and may need to have skills in SQL and data storytelling. These roles typically require strong programming skills and the ability to interpret complex data for clients.

What are some common challenges freelance Python data analysts face when working with clients remotely?

Freelance Python data analysts often encounter challenges such as clarifying project requirements, managing client expectations about deliverables, and ensuring timely communication across different time zones. Working remotely can also mean troubleshooting data access or security issues, especially if clients have strict data privacy policies. Building trust through regular updates and transparent reporting is key to successful collaborations in this role.
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Infographic showing various Freelance Python Data Analysis job openings in Grand Rapids, MI as of June 2026, with employment types broken down into 91% Full Time, 8% Part Time, and 1% Contract. Highlights an 86% Physical, 4% Hybrid, and 10% Remote job distribution, with an average salary of $117,106 per year, or $56.3 per hour.

Pricing and Promotion Strategy Analyst

Meijer, Inc.

Grand Rapids, MI • On-site

Full-time

This job post has expired today. Applications are no longer accepted.

Meijer rating

6.2

Company rating: 6.2 out of 10

Based on 1,634 frontline employees who took The Breakroom Quiz

20th of 39 rated national retailers

Job description

As a family company, we serve people and communities. When you work at Meijer, you're provided with career and community opportunities centered around leadership, personal growth and development. Consider joining our family - take care of your career and your community!
Meijer Rewards
  • Weekly pay
  • Scheduling flexibility
  • Paid parental leave
  • Paid education assistance
  • Team member discount
  • Development programs for advancement and career growth

Please review the job profile below and apply today!
The Pricing & Promotion Strategy Analyst is the analytical engine that enables the Pricing & Promotional Strategy Partner team to execute Meijer's Elevate strategy at the category level. This role owns the data assembly, integration, and analytical outputs that Strategy Partners depend on to lead category deep dives, develop Golden Rules, co-own promotional calendars, and influence merchant decisions across Fresh, Grocery, HBC, and Hardlines/Softlines.
The role maintains the Price Architecture framework, tracking AUR performance against tier and profile targets, and supports promotional effectiveness analysis. Success requires data proficiency, the ability to work with high-volume multi-source retail data, and a consistent commitment to data accuracy and timeliness-so Strategy Partners can action on data insight.
What You'll Be Doing:
  • Own the deep dive data framework: assemble, merge, and clean item-level pricing history, promotional events, competitive observations, basket penetration, and vendor funding by SKU for assigned category waves.
  • Maintain structured data that Strategy Partners use to enter each deep dive, ensuring inputs are current, validated, and item-level before analysis begins.
  • Identify and resolve upstream quality issues-mismatched SKU mappings, missing competitive observations, duplicate promotional records-before they surface in merchant-facing outputs.
  • Maintain data pipelines across multiple parallel category waves at different stages of the deep dive process.
  • Synthesize item-level pricing, promotional history, competitive positioning, basket penetration, and vendor funding into a complete category picture before any recommendation is made.
  • Own and maintain the Price Architecture Framework (Product Tier × Profile × Lever) for assigned categories as the single source of truth feeding pricing and promo systems, keeping assignments current through annual review and flagging material shifts to Strategy Partners.
  • Support KVI list expansion and ongoing tier/lever decisions with data analysis on basket penetration, competitive overlap, and price elasticity.
  • Partner with Strategy Partners to design, run, and interpret tests validating Elevate assumptions on Archetype IV categories, reporting recommendations to merchant teams.
  • Partner with Pricing Execution to monitor actual AUR against Balance Matrix Profile/Tier targets, advise on adjustments, and feed results into the annual Balance Matrix review.
  • Deliver timely, validated analysis and scenario models for Strategy Partners' merchant meetings, pricing events, and AUR gap escalations, quantifying financial impact of promo, base price, or vendor funding changes.
  • Build and maintain reusable analytical templates (category workbooks, AUR dashboards, promo summaries) to speed up each new category wave.

What You'll Bring With You:
  • Bachelor's degree in Business, Economics, Finance, Statistics, Mathematics, or a related quantitative field.
  • 2-4 years of experience in pricing analytics, promotional analytics, retail data analysis, or a related role; experience within a retail pricing, category management, or merchandising analytics function preferred.
  • Proficiency in SQL for querying large transactional datasets; advanced Excel; experience with BI or visualization tools such as Power BI or Tableau.
  • Ability to work with high-volume, multi-source retail data-identifying quality issues, building reproducible data pipelines, and delivering clean outputs on recurring schedules.
  • Working knowledge of retail pricing concepts such as AUR, promotional lift, elasticity, and margin, and how data connects to pricing and promotional decisions.
  • Ability to structure and communicate analytical outputs clearly for Strategy Partner and merchant audiences.
  • Proficient in statistical analysis software (e.g., SAS, SPSS, Stata, R, Python) required.
  • Experience working directly alongside pricing strategists, category managers, or merchant/buying teams in a retail environment.
  • Exposure to ML/AI-enabled promotional effectiveness modeling or price elasticity modeling; experience preparing input datasets for data science teams.
  • Experience with competitive intelligence data sources (e.g., Nielsen, IRI, competitive web data, or equivalent) and integrating external competitive pricing feeds into internal tracking.

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