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Data Visualization Analyst Jobs in Michigan (NOW HIRING)

Programmer Analyst 6

Lansing, MI · On-site

$58 - $63/hr

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 ...

Product Data Analyst

Three Rivers, MI · Hybrid

$72K - $94K/yr

Summarize results and support interpretation of causal impacts Data Visualization & Communication ... Document analyses and findings in a clear, stakeholder-friendly format Qualifications * Bachelor ...

Product Data Analyst

Three Rivers, MI · Hybrid

$72K - $94K/yr

Summarize results and support interpretation of causal impacts Data Visualization & Communication ... Document analyses and findings in a clear, stakeholder-friendly format Qualifications * Bachelor ...

Visualization tools: Power BI, Tableau * Engineering data tools: SQL, SAS, Minitab, JMP, MS Excel, Six Sigma * In depth knowledge of advanced analytics techniques. * Strong verbal and written ...

New

Role: Data Analyst Location: Warren, MI (Hybrid) Duration: Long term Rate: Market Key ... Proficient in Power BI and SQL for data modeling, transformation, and visualization * Experience ...

Top Skills: • Power BI • Advanced Excel • Data Analytics • Dashboard Development • KPI Reporting • Data Visualization • Executive Reporting • Data Mining & Trend Analysis • SQL ...

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Data Visualization Analyst information

See Michigan salary details

$29.6K

$72K

$118.5K

How much do data visualization analyst jobs pay per year?

As of Jul 15, 2026, the average yearly pay for data visualization analyst in Michigan is $72,029.00, according to ZipRecruiter salary data. Most workers in this role earn between $54,500.00 and $84,500.00 per year, depending on experience, location, and employer.

What is a Data Visualization Analyst job?

A Data Visualization Analyst is responsible for transforming complex data sets into clear, engaging visual representations that help stakeholders make data-driven decisions. They use tools like Tableau, Power BI, or Python libraries (Matplotlib, Seaborn) to create charts, graphs, and dashboards. Their role combines data analysis, storytelling, and design principles to present insights effectively. They collaborate with data scientists, business analysts, and decision-makers to ensure data is accurately represented and actionable.

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

To thrive as a Data Visualization Analyst, you need strong analytical skills, experience in data interpretation, and a relevant degree in fields such as statistics, computer science, or information systems. Proficiency with visualization tools like Tableau, Power BI, or D3.js, as well as knowledge of SQL and Excel, is highly valued, and certifications in these platforms can enhance your qualifications. Excellent communication, attention to detail, and a collaborative mindset help you translate complex data into meaningful visual stories for stakeholders. These abilities are essential to ensure data-driven decisions are clearly understood and actionable across various departments.

What are the typical daily responsibilities of a Data Visualization Analyst?

As a Data Visualization Analyst, your day typically involves collecting, cleaning, and organizing data from various sources, followed by designing and creating dashboards or reports that convey insights to both technical and non-technical stakeholders. You’ll collaborate closely with data engineers, business analysts, and department leaders to understand their needs and tailor visualizations accordingly. Regularly, you will review and update dashboards to ensure data accuracy and relevancy, and may also provide training or support to colleagues on interpreting and using visual tools. This role offers a dynamic work environment where problem-solving and creativity are key to turning complex datasets into clear, actionable information.

What are the most commonly searched types of Data Visualization Analyst jobs in Michigan? The most popular types of Data Visualization Analyst jobs in Michigan are:
What are popular job titles related to Data Visualization Analyst jobs in Michigan? For Data Visualization Analyst jobs in Michigan, the most frequently searched job titles are:
What job categories do people searching Data Visualization Analyst jobs in Michigan look for? The top searched job categories for Data Visualization Analyst jobs in Michigan are:
What cities in Michigan are hiring for Data Visualization Analyst jobs? Cities in Michigan with the most Data Visualization Analyst job openings:
Infographic showing various Data Visualization Analyst job openings in Michigan as of July 2026, with employment types broken down into 1% Locum Tenens, 1% Internship, 84% Full Time, 8% Part Time, 1% Temporary, and 5% Contract. Highlights an 82% Physical, 5% Hybrid, and 13% Remote job distribution, with an average salary of $72,029 per year, or $34.6 per hour.
Programmer Analyst 6

Programmer Analyst 6

Staffactory

Lansing, MI • On-site

$58 - $63/hr

Full-time

Re-posted 19 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.