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Visualization Jobs in Michigan (NOW HIRING)

Corporate Services

Lead Data Scientist

Detroit, MI · On-site

Experience working with data visualization tools or Data Visualization Designers in Power BI. * Also, experience with data visualization for analytic models in Rshiny, GGPlot, Qlik, Alteryx, Flask ...

Corporate Services

Lead Data Scientist

Detroit, MI

Experience working with data visualization tools or Data Visualization Designers in Power BI. * Also, experience with data visualization for analytic models in Rshiny, GGPlot, Qlik, Alteryx, Flask ...

Corporate Services

Epidemiologist I

Detroit, MI · On-site

SAS, R, Python, Data visualization, Data curation/transformation, Spatial epidemiologic analysis, Geocoding and GIS mapping, epidemiological research-based computational modeling and simulation ...

IGI

Audio Visual Technician III

Commerce, MI · On-site

$29 - $39/hr

Company Description IGI provides large scale, high-resolution audio-visual systems for advanced visualization applications and world-class corporate AV solutions to top companies across the USA. All ...

Samprasoft

Azure Data Engineer

Detroit, MI · On-site

$104K - $125K/yr

Experience with data visualization tools like Power BI Experience with Data blending tools like Alteryx Develop Data reconciliation and audit solutions

IGI

Audio Visual Technician III

Walled Lake, MI · On-site

$29 - $39/hr

Company Description IGI provides large scale, high-resolution audio-visual systems for advanced visualization applications and world-class corporate AV solutions to top companies across the USA. All ...

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All JobsVisualization JobsVisualization Jobs in Michigan

Visualization information

See Michigan salary details

$47.1K

$95.4K

$140.8K

How much do visualization jobs pay per year?

As of Jul 7, 2026, the average yearly pay for visualization in Michigan is $95,397.00, according to ZipRecruiter salary data. Most workers in this role earn between $78,400.00 and $107,200.00 per year, depending on experience, location, and employer.

Is data visualization a good career?

Data visualization is a valuable career in data analysis and business intelligence, involving creating visual representations of data using tools like Tableau, Power BI, or Python. It requires strong analytical skills, attention to detail, and the ability to communicate complex information clearly, making it a growing field with demand across many industries.

What jobs are good for visual perception?

Jobs that require strong visual perception include roles such as graphic designers, architects, industrial designers, and visual artists. These positions often demand skills in spatial awareness, attention to detail, and proficiency with design tools like Adobe Creative Suite or CAD software.

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

To excel in a Visualization role, you need strong analytical skills, a solid grasp of data interpretation, and often a background in fields such as computer science, design, or statistics. Familiarity with tools like Tableau, Power BI, Python (with data visualization libraries), or D3.js, and possibly certifications in data visualization or analytics, are highly valued. Exceptional attention to detail, creativity, and strong communication skills set top candidates apart. These competencies enable you to present complex information in clear, impactful ways, supporting effective decision-making across the organization.

What is a Visualization job?

A Visualization job involves creating graphical or interactive representations of data to help communicate insights effectively. Professionals in this field use tools like Tableau, Power BI, D3.js, or Python libraries to transform raw data into meaningful visuals. They work across industries to enhance decision-making by making complex information more accessible. Strong analytical skills and an understanding of design principles are essential for success in this role.

What jobs can I get with a visualization degree?

A visualization degree can lead to roles such as data visualization specialist, graphic designer, user interface designer, or multimedia artist. These jobs often require skills in design software like Adobe Creative Suite or Tableau and may involve working in tech, marketing, or media environments.

How much does a data visualizer earn?

Data visualizers typically earn between $50,000 and $100,000 annually, depending on experience, location, and industry. Advanced skills in tools like Tableau, Power BI, or D3.js can lead to higher salaries, especially in tech or finance sectors.

What are the typical daily tasks and responsibilities of a Visualization professional?

Visualization professionals are often responsible for transforming raw data into visually compelling and easily understandable charts, dashboards, and reports. Daily tasks may include meeting with stakeholders to gather requirements, analyzing datasets, selecting appropriate visualization methods, and iterating designs based on feedback. They work closely with data analysts, business intelligence teams, and sometimes software engineers to ensure the accuracy and clarity of visualizations. This collaborative approach ensures that stakeholders can easily gain insights and make informed decisions based on the presented data.

What are the most commonly searched types of Visualization jobs in Michigan? The most popular types of Visualization jobs in Michigan are:
What are popular job titles related to Visualization jobs in Michigan? For Visualization jobs in Michigan, the most frequently searched job titles are:
What job categories do people searching Visualization jobs in Michigan look for? The top searched job categories for Visualization jobs in Michigan are:
What cities in Michigan are hiring for Visualization jobs? Cities in Michigan with the most Visualization job openings:
Visualization jobs near you
Lead Data Scientist

Lead Data Scientist

Corporate Services

Detroit, MI • On-site

Other

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

Job description

GENERAL SUMMARY: 

Lead Data Scientist, Healthcare Analytics works with system leaders, business stake holders and business data analysts to fully understand their needs for data science solutions. Lead Data Scientist architects, defines, and design the data science solution, and works with Data Scientist, Associate Data Scientist, and other business analysts to implement the data science solution. Works/collaborates with various teams to build the solution and implement the solution in operations. Lead Data Scientist, Healthcare Analytics develops cutting edge solutions to resolve complex business problems. Skilled in using statistical techniques and good at solution architecting, design and implementing the solution. Hands on in using a variety of common analytical and AI tools. Will present findings in a compelling manner to system leaders, technical and non-technical audience. The position requires a team lead mindset who is ready to lead and deliver the projects using agile methodology. 

EDUCATION/EXPERIENCE REQUIRED: 

  • Must have an undergraduate (BS) degree in Statistics, Mathematics, Econometrics, Operations Research, Public Health, and Epidemiology or another related field. 
  • Master's degree or PhD degree is preferred. 
  • Five plus (5+) years of professional work experience. 
  • Three plus (3+) years of experience with predictive, forecasting, and optimization problem solving using data analytics tools like Python, R or SAS. Two plus (2+) years of experience involving quantitative data analyses for problem solving in US Healthcare industry. 
  • One plus (1+) year experience working with cloud Big Data Stack to orchestrate data gathering, cleansing, preparation and modelling preferred. Advanced SQL skills working with RDBMSs such as SQL Server, Oracle etc. 
  • Exceptionally skilled in machine learning, data analytics, pattern recognition and predictive modelling. 
  • Experience working with data visualization tools or Data Visualization Designers in Power BI. 
  • Also, experience with data visualization for analytic models in Rshiny, GGPlot, Qlik, Alteryx, Flask, D3, etc. used to tell the data story to business users to foster adoption of analytic outputs created preferred. Strong communication and presentation skills. 
  • Effective communication and storytelling skills. 
  • Passion for continuous learning and contributing to hands on development. 
  • A true team player. Collaborative mindset for effective communication across teams.
Additional Information
  • Organization: Corporate Services
  • Department: Digital Enablement-A3
  • Shift: Day Job
  • Union Code: Not Applicable

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