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Freelance Python Data Analysis Jobs in Lansing, MI

Programmer Analyst 6

Lansing, MI · On-site

$58 - $63/hr

... data analysis within large-scale environments. · 3+ years of experience in AI Data engineering with AWS platforms. · 3+ years of experience in python, PySpark and Advanced Data Structures. · 3+ ...

Project - Data Engineer II

Lansing, MI · On-site

$116K - $139K/yr

As an experienced Data Engineer - Project Delivery Senior Analyst, you will have the ability to ... Build reusable Python components for ingestion, validation, and transformations; apply standards ...

Digital Analyst Internships

Lansing, MI · On-site

$99K - $118K/yr

Familiarity with data analysis platforms and tools, comfortable extracting and interpreting complex ... Basic programming or scripting experience in Python, SQL, or JavaScript * Experience with Sitecore ...

Digital Analyst Internships

Lansing, MI

$99K - $118K/yr

Familiarity with data analysis platforms and tools, comfortable extracting and interpreting complex ... Basic programming or scripting experience in Python, SQL, or JavaScript * Experience with Sitecore ...

... as Python Jupyter Notebooks, develop appropriate visualizations of data, curate and prepare data ... Analytics, Health Informatics, or related field preferred, and three years of experience working ...

Data Scientist

Okemos, MI · On-site

$110 - $140/hr

... as Python Jupyter Notebooks, develop appropriate visualizations of data, curate and prepare data ... Analytics, Health Informatics, or related field preferred, and three years of experience working ...

New

... as Python Jupyter Notebooks, develop appropriate visualizations of data, curate and prepare data ... Analytics, Health Informatics, or related field preferred, and three years of experience working ...

Use Python and XML to automate processes, perform data transformations, and integrate automation ... Collaborate with data architects, analysts, DBAs, and business users to ensure successful and ...

Data Architect

East Lansing, MI · On-site

$96K - $130K/yr

Develop canonical and semantic data models to support analytics, reporting, and operational use ... Proficiency in Python for data engineering and automation. * Strong SQL skills and experience with ...

Implement and manage Elastic Search engines for efficient data retrieval and analysis. * Write clean, maintainable, and efficient code in Python and Scala. * Support modernization efforts of the ...

Data Engineer

Okemos, MI · On-site

$103K - $124K/yr

Participates in the analysis and development of technical specifications, programming, and testing ... PL/SQL, Python, T-SQL, StreamSets, Snowflake Cloud Data Platform, and Informatica PowerCenter ...

Data Engineer

Okemos, MI · On-site

$103K - $124K/yr

The ideal candidate should have a minimum of 3 years of experience with excellent analytical ... PL/SQL, Python, T-SQL, StreamSets, Snowflake Cloud Data Platform, and Informatica PowerCenter ...

Use Python and XML to automate processes, perform data transformations, and integrate automation ... Collaborate with data architects, analysts, DBAs, and business users to ensure successful and ...

Conduct ad-hoc analysis and present results clearly at multiple-levels of stakeholders through ... Experience with common data science toolkits, such as R, Python, TensorFlow, SQL, Scikit-learn ...

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Freelance Python Data Analysis information

See Lansing, MI salary details

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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 Lansing, MI is $59.46, according to ZipRecruiter salary data. Most workers in this role earn between $48.99 and $67.55 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.
What are the most commonly searched types of Python Data Analysis jobs in Lansing, MI? The most popular types of Python Data Analysis jobs in Lansing, MI are:
What are popular job titles related to Freelance Python Data Analysis jobs in Lansing, MI? For Freelance Python Data Analysis jobs in Lansing, MI, the most frequently searched job titles are:
What job categories do people searching Freelance Python Data Analysis jobs in Lansing, MI look for? The top searched job categories for Freelance Python Data Analysis jobs in Lansing, MI are:
What cities near Lansing, MI are hiring for Freelance Python Data Analysis jobs? Cities near Lansing, MI with the most Freelance Python Data Analysis job openings:
Infographic showing various Freelance Python Data Analysis job openings in Lansing, MI as of August 2026, with employment types broken down into 1% As Needed, 80% Full Time, 16% Part Time, and 3% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $123,672 per year, or $59.5 per hour.

Programmer Analyst 6

Staffactory

Lansing, MI • On-site

$58 - $63/hr

Full-time

Re-posted 13 days ago


Job description

Position: Programmer Analyst 6
Location: Lansing, MI 48933
Minimum Education Level: Bachelor's Degree
 
 
 
We are looking for a Programmer Analyst 6.
 
Top Skills & Years of Experience: 
·         Bachelor’s degree in computer science, Information Systems, Data Analytics, or related field.
·         3+ years of experience in report development and data analysis within large-scale environments.
·         3+ years of experience in AI Data engineering with AWS platforms.
·         3+ years of experience in python, PySpark and Advanced Data Structures.
·         3+ years of experience in Teradata Data Warehouse and ETL utilities.
·         Experience in AWS cloud and AI platform.
·         Proficiency in SQL, Hummingbird BI/Query, SAP Business Objects, Tableau, and Power BI.
·         Strong experience with dashboard development and data visualization best practices.
·         Solid understanding of relational databases and data warehouse concepts, preferably Teradata.
·         Excellent analytical, problem-solving, and communication skills.
 
Will close submissions on: 3/3 at 10am EST
Interview Process: MS Teams Video Interviews
Duration: 1 year with possible extension
Hybrid: Resource will be working a hybrid schedule. NO REMOTE ONLY OPTION. Will need to be onsite from day 1, two days a week (Wed/Thur ONSITE). 
Open to local and non local. Non-local candidates must be willing to relocate starting Day 1. Please ensure you confirm prior to submitting. 
 

Job Summary

We are seeking an experienced Senior Report Developer to serve as a Data Analyst and Dashboard Developer within the MDHHS Analytics and Visualization Division. This role focuses on analyzing complex datasets, generating actionable insights, and developing interactive dashboards using Power BI, SAP BusinessObjects, Crystal Reports, and BI Query. In addition, the position will involve designing and optimizing cloud-native data and AI platforms leveraging Amazon Web Services (AWS) to support advanced analytics, machine learning, and real-time data processing initiatives. The ideal candidate will have strong analytical skills, proficiency in reporting tools, and the ability to translate business requirements into effective data visualizations and scalable data solutions.


Key Responsibilities

  • Analyze large and complex datasets to identify trends, patterns, and actionable insights for business stakeholders.
  • Design, develop, and maintain interactive dashboards and reports using Power BI, SAP BusinessObjects, and Crystal Reports.
  • Develop and optimize SQL queries and scripts for data extraction and transformation.
  • Create and optimize queries in Hummingbird BI Query to support business intelligence and data analysis requirements.
  • Architect and implement end-to-end data pipelines using AWS services such as Amazon S3, Glue, Lambda, EMR, Redshift, Kinesis, and SageMaker.
  • Design, build, and optimize scalable cloud-native data and AI platforms leveraging AWS to support advanced analytics and machine learning initiatives.
  • Develop robust ETL/ELT workflows, ensuring data quality, governance, security, and compliance across distributed systems.
  • Collaborate with business units to gather requirements and translate them into technical specifications for reporting and data solutions.
  • Partner with cross-functional teams, including data architects, business analysts, and application developers, to ensure alignment of reporting and data solutions with organizational goals.
  • Ensure data accuracy, integrity, and compliance with MDHHS standards and policies.
  • Provide technical expertise in reporting tools and assist in troubleshooting and performance tuning of dashboards and reports.
  • Document processes, data flows, and reporting standards for ongoing maintenance and knowledge sharing.

Required Qualifications

·         Bachelor’s degree in computer science, Information Systems, Data Analytics, or related field.

·         3+ years of experience in report development and data analysis within large-scale environments.

·         3+ years of experience in AI Data engineering with AWS platforms.

·         3+ years of experience in python, PySpark and Advanced Data Structures.

·         3+ years of experience in Teradata Data Warehouse and ETL utilities.

·         Experience in AWS cloud and AI platform.

·         Proficiency in SQL, Hummingbird BI/Query, SAP Business Objects, Tableau, and Power BI.

·         Strong experience with dashboard development and data visualization best practices.

·         Solid understanding of relational databases and data warehouse concepts, preferably Teradata.

·         Excellent analytical, problem-solving, and communication skills.


Preferred Qualifications

  • Experience with Medicaid or healthcare-related reporting.
  • Familiarity with performance optimization techniques for BI tools.
  • Experience in cloud data platforms (AWS, Azure, GCP) and integration with Teradata.
  • Ability to design and implement modern data architectures supporting advanced analytics and machine learning.
  • Familiarity with BI/reporting tools.
  • Exposure to Agile / DevOps methodologies.
  • Knowledge of data governance and compliance standards.
  • Bachelor's degree in computer science, software engineering or relevant field required.

Soft Skills

  • Strong interpersonal skills with the ability to collaborate effectively across teams and communicate technical concepts to non-technical stakeholders.
  • Excellent time management and organizational skills to handle multiple priorities and meet deadlines.
  • Adaptability and flexibility to work in a dynamic environment with evolving business needs.
  • Critical thinking and attention to detail to ensure accuracy and quality in reporting and analysis.
  • Proactive problem-solving approach and willingness to take initiative in improving processes and solutions.
  • Ability to foster a positive team environment and contribute to shared goals.