ZipRecruiter

Log In

1

Data Visualization Developer Jobs in Michigan (NOW HIRING)

BDO USA

IT Lead Data Engineer

Grand Rapids, MI · On-site

Eight (8) or more years working with PowerBI, Tableau or similar data visualization products ... Three (3) or more years using version control tools (Azure DevOps, GitHub), required * Demonstrable ...

BDO

IT Lead Data Engineer

Grand Rapids, MI · On-site

Eight (8) or more years working with PowerBI, Tableau or similar data visualization products ... Three (3) or more years using version control tools (Azure DevOps, GitHub), required * Demonstrable ...

Staffactory

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 ...

KODE Labs

Data Analyst

Detroit, MI

Data Analyst We are seeking a skilled Data Analyst to join our Mission Control/Engineering team. As ... Proven experience with data visualization tools such as Tableau, Power BI, or Google Data Studio

Ford Motor Company

Data Engineer

Dearborn, MI · On-site

$138.49K - $164.49K/yr

... visualization, formatting analytics data, and presenting data to senior engineers. 7. GitHub, Jenkins, and Apache Airflow. 8. Implementing data processing jobs using PySpark on GCP Data Proc for ...

SynergisticIT

Junior MERN Stack Developer

Detroit, MI

$61.30K - $79.60K/yr

... data visualization tools Candidates lacking technical skills can research our other programs which can assist in landing a Job If you get emails from our Job Placement team and are not interested ...

next page

Showing results 1-20

People also search for

All JobsData Visualization Developer JobsData Visualization Developer Jobs in Michigan

Data Visualization Developer information

See Michigan salary details

$47.1K

$95.4K

$140.8K

How much do data visualization developer jobs pay per year?

As of Jun 2, 2026, the average yearly pay for data visualization developer 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.

What Is a Data Visualization Developer?

Data visualization pertains to any visual representation used to explain the significance of data. A data visualization developer is someone who creates these graphic representations. Their primary responsibilities are to produce visual depictions of text-based data that reveals the patterns, trends, or correlations between different points. Duties include using software to create dashboards to showcase information, performing data analysis and data modeling, and reporting on various data points. A data visualization developer may need to create a wide variety of graphics to display information, such as infographics, charts, graphs, data maps, or interactive data interfaces.

What are the key skills and qualifications needed to thrive as a Data Visualization Developer, and why are they important?

To thrive as a Data Visualization Developer, you need strong analytical skills, proficiency in data analysis, and expertise in visual design, typically supported by a degree in computer science, statistics, or a related field. Familiarity with tools such as Tableau, Power BI, D3.js, and programming languages like JavaScript or Python is essential, and certifications in these platforms can be advantageous. Attention to detail, creativity, and effective communication are crucial soft skills for transforming complex data into clear, actionable visual insights. These skills ensure that stakeholders can easily interpret and leverage data for informed decision-making.

How does a Data Visualization Developer typically collaborate with data analysts and business stakeholders on projects?

Data Visualization Developers often work closely with data analysts to understand the underlying data and identify key insights that need to be communicated. They also engage with business stakeholders to clarify requirements and ensure the visualizations support decision-making processes. Regular meetings and iterative feedback cycles are common, helping to fine-tune dashboards and reports for clarity and usability. This collaborative environment encourages learning from different perspectives and fosters a team-oriented approach to solving business challenges.

What is the difference between Data Visualization Developer vs Data Analyst?

AspectData Visualization DeveloperData Analyst
Required SkillsData visualization tools, programming (JavaScript, Python), UI/UX designData analysis, statistical skills, Excel, SQL
Work EnvironmentDesigning dashboards, front-end visualization, interactive reportsData cleaning, querying databases, interpreting data trends
Common UsageCreating visual representations for insights and dashboardsAnalyzing data to inform business decisions

While both roles involve working with data, Data Visualization Developers focus on creating visual tools and dashboards to present data effectively, often requiring programming skills. Data Analysts interpret data and generate insights, emphasizing statistical analysis and data querying. Both roles are essential in data-driven organizations but serve different functions in the data workflow.

More about Data Visualization Developer jobs
What are popular job titles related to Data Visualization Developer jobs in Michigan? For Data Visualization Developer jobs in Michigan, the most frequently searched job titles are:
What job categories do people searching Data Visualization Developer jobs in Michigan look for? The top searched job categories for Data Visualization Developer jobs in Michigan are:
What are popular job titles related to Data Visualization Developer jobs in MI? For Data Visualization Developer jobs in MI, the most frequently searched job titles are:
Data Visualization Developer jobs near you
Infographic showing various Data Visualization Developer job openings in Michigan as of May 2026, with employment types broken down into 10% As Needed, 72% Full Time, 15% Part Time, and 3% Contract. Highlights an 80% Physical, 5% Hybrid, and 15% Remote job distribution, with an average salary of $95,397 per year, or $45.9 per hour.
Data Scientist - Commercial Analytics

Data Scientist - Commercial Analytics

Stellantis

Auburn Hills, MI • On-site

Full-time

Posted 27 days ago

Stellantis rating

7.4

Company rating: 7.4 out of 10

Based on 123 frontline employees who took The Breakroom Quiz

17th of 44 rated automakers

Job description

The Commercial Analytics team is looking for a Data Scientist to join our team. Your mission is to build and scale trusted data science products that power commercial performance measurement and growth while promoting data science best practices, actionable recommendations and a high bar for model quality and reliability.
Data scientists work closely with data engineers, analysts, and business teams to design analytics solutions, implement advanced algorithms and evaluate the performance of use cases. Ideal candidates are self-motivated, inquisitive and creative, with a strong desire to solve real-world problems using data.
In this role, you will:
  • Collaborate with business stakeholders to identify high-impact opportunities for statistical and machine learning use cases.
  • Develop defensible, well-documented methodologies that stand up to executive scrutiny and support strategic decision-making.
  • Communicate complex results clearly to both technical and non-technical audiences.
  • Partner with data engineers to define and source relevant data features for modeling as well as drive adoption and a deep understanding of proper data usage.
  • Develop and validate predictive models using techniques such as regression, random forests, gradient boosting, causal modeling and neural networks.
  • Communicate findings and recommendations to non-technical audiences through clear visualizations and storytelling.
  • Contribute to the maintenance of models in production environments, ensuring scalability and performance.
  • Conduct peer code reviews and support best practices in model development and deployment.
  • Collaborate with both external and internal resources to support business requirements and key KPI measurement

Basic Qualifications:
  • Bachelor's degree in a quantitative discipline (e.g., Statistics, Economics, Computer Science or other quantitative field)
  • Minimum of 3 years of experience in data science, econometrics or a related field
  • Proficiency in Python and SQL
  • Hands-on experience with big data and cloud platforms such as Databricks, Snowflake or Spark
  • Exposure to MLOps best practices, including model versioning, monitoring, and deployment pipelines
  • Strong grasp of machine learning algorithms like:
    • Regression (linear, logistic)
    • Causal Inference Models (Difference-in Difference, Regression Discontinuity Design)
    • Tree-based models (Random Forest, XGBoost, LightGBM)
    • Neural networks
    • Clustering and dimensionality reduction (e.g., LDA, PCA, Dynamic Time Warping)
  • Ability to translate complex data into actionable insights for business stakeholders

Preferred Qualifications:
  • Master's degree in a quantitative discipline (e.g., Statistics, Economics, Computer Science or other quantitative field)
  • Automotive experience
  • 2+ years of experience working with commercial data
  • Experience using PySpark for distributed data processing and feature engineering
  • Strong communication and storytelling skills with the ability to influence decision-makers
  • Understanding of CI/CD workflows for automating model testing and deployment
  • Experience working with real-time data pipelines and event-driven architectures
  • Experience with experimental design, and statistical inference
  • Exposure to feature stores and model registries in MLOps environments
  • Experience with Power BI or similar tools for data visualization and dashboarding

What Stellantis employees say

Pay

Benefits

Hours and flexibility

Workplace

Get the full story on Breakroom

Apply