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Data Visualization Engineer Jobs in Detroit, MI (NOW HIRING)

Engineering Data Analytics Specialist - Powertrain Programs. The Engineering Data Analytics ... Visualization Reporting Automation Quantitative Analysis Data Integrity Management Business ...

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Engineering Data Analytics Specialist - Powertrain Programs. The Engineering Data Analytics ... Visualization Reporting Automation Quantitative Analysis Data Integrity Management Business ...

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Experience using PySpark for distributed data processing and feature engineering * Experience with Power BI or similar tools for data visualization and dashboarding * 2+ years of experience working ...

Sr. Data Analyst

Ypsilanti, MI · On-site

$77K - $98K/yr

Sr. Data Analyst Hyundai America Technical Center, Inc. (HATCI) is looking for a Senior Engineer to ... Proven experience with data visualization tools, like Tableau, and analytic platforms, such as ...

Collaborate closely with stakeholders and other engineers to develop new and unique data-driven solutions using Big Data platforms, creative analytical methods, and data visualization techniques ...

Collaborate closely with stakeholders and other engineers to develop new and unique data-driven solutions using Big Data platforms, creative analytical methods, and data visualization techniques ...

Partner with architects, project managers, data engineers, software engineers, and fellow data ... Data Visualization and Analytics Dashboards * Statistical Modeling * Predictive Analytics * Power ...

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Data Visualization Engineer information

See Detroit, MI salary details

$40.7K

$118.7K

$162.4K

How much do data visualization engineer jobs pay per year?

As of Jul 14, 2026, the average yearly pay for data visualization engineer in Detroit, MI is $118,689.00, according to ZipRecruiter salary data. Most workers in this role earn between $104,800.00 and $125,800.00 per year, depending on experience, location, and employer.

What is a Data Visualization Engineer job?

A Data Visualization Engineer is responsible for designing, developing, and implementing visual representations of data to help stakeholders understand complex information. They use tools like Tableau, D3.js, Power BI, and Python libraries (e.g., Matplotlib, Seaborn) to create interactive dashboards and reports. Their role involves working with large datasets, ensuring data accuracy, optimizing performance, and collaborating with analysts and developers to enhance decision-making. Strong programming, data analysis, and UX/UI design skills are essential for success in this role.

What are some common challenges faced by Data Visualization Engineers, and how can they overcome them?

Data Visualization Engineers often encounter challenges such as translating complex data into clear, actionable visuals for non-technical stakeholders and ensuring that graphics remain both accurate and engaging. Balancing the needs of different departments, adhering to fluctuating project requirements, and managing large or messy datasets can also be demanding. Successful engineers address these issues by working closely with data analysts, business users, and designers, using feedback to iterate on their work, and staying current with the latest visualization best practices. Proactive communication and strong organization skills further help in meeting deadlines and maintaining quality standards.

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

To thrive as a Data Visualization Engineer, you need a strong grasp of data analysis, visual storytelling, and programming, often supported by a degree in computer science, data science, or a related field. Familiarity with tools like Tableau, Power BI, D3.js, and proficiency in languages such as Python or JavaScript are commonly required, along with experience in databases and dashboard development. Strong communication, problem-solving, and collaboration skills help you effectively transform and present complex data to diverse audiences. These abilities are crucial for creating impactful, user-friendly visualizations that drive informed business decisions.

What are popular job titles related to Data Visualization Engineer jobs in Detroit, MI? For Data Visualization Engineer jobs in Detroit, MI, the most frequently searched job titles are:
What job categories do people searching Data Visualization Engineer jobs in Detroit, MI look for? The top searched job categories for Data Visualization Engineer jobs in Detroit, MI are:
Infographic showing various Data Visualization Engineer job openings in Detroit, MI as of July 2026, with employment types broken down into 1% As Needed, 83% Full Time, 13% Part Time, and 3% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $118,689 per year, or $57.1 per hour.
Data Management Specialist

Data Management Specialist

Optimal Inc.

Dearborn, MI • Hybrid

Contractor

Posted 4 days ago

New


Job description

Job Title
Data Management Specialist

Position Description:
Engineering Data Analytics Specialist - Powertrain Programs. The Engineering Data Analytics Specialist supports Technical Value Management (TVM) initiatives across powertrain engineering organizations by providing data analysis, reporting, dashboard development, and project tracking support. The role enables engineering teams to achieve cost-reduction objectives through actionable insights derived from engineering and cost-related data. This position requires strong Power BI expertise, advanced analytical skills, and the ability to transform large datasets into executive-level reporting and business intelligence tools. The individual will work closely with engineering, manufacturing, product development, and program teams to monitor cost-saving initiatives, track implementation progress, and improve reporting efficiency.

Key responsibilities include:
Analyzing engineering and cost-related datasets.
Performing data mining and trend analysis.
Developing and maintaining Power BI dashboards.
Creating executive-level visualizations and reports.
Automating reporting processes.
Tracking cost-saving initiatives and project milestones.
Supporting engineering review meetings and status reporting.
Improving reporting methodologies and data visibility.
Developing standardized metrics and KPI reporting systems.
Maintaining data integrity and validating data accuracy.

Skills Required:
Data Analytics & Reporting
Power BI (Required)
Advanced Microsoft Excel
Data Analysis
Data Mining
Dashboard Development
KPI Reporting
Trend Analysis
Data Modeling
Data Cleansing
Data Validation
Executive Reporting Program & Project Support
Meeting Coordination
Action Item Tracking
Workplan Management
Milestone Tracking
Project Tracking
Cross-Functional Communication Business Intelligence
Data Visualization
Reporting Automation
Quantitative Analysis
Data Integrity Management
Business Insights Development

Skills Preferred:
SQL
Power Query
DAX
SharePoint
Power Automate
AI-Based Reporting Tools
AI Analytics Platforms
Cost Reduction Program Support
Automotive Industry Experience
Powertrain Engineering Support Experience

Experience Required:
3+ years of experience in: Data Analysis, Reporting, Engineering Analytics
Experience supporting: Engineering organizations or Manufacturing organizations or Automotive organizations or Product Development organizations
Experience managing large datasets.
Experience creating executive-level reports and dashboards.
Experience developing reporting metrics and analytics tools.
Experience supporting cross-functional teams and project activities.

Experience Preferred:
Automotive industry experience.
Powertrain engineering support experience.
Experience supporting Technical Value Management (TVM) initiatives.
Experience supporting cost-reduction programs.
Experience with advanced Power BI development.
Experience using Power Query and DAX.
Experience with workflow automation tools.
Experience utilizing AI-driven reporting and analytics solutions.

Education Required:
Bachelor's Degree in Engineering Data Analytics, Information Systems, Computer Science, Industrial Engineering or Related Technical Field

Education Preferred:
Master's degree in Data Analytics, Engineering, Information Systems, Business Analytics, or related field.

Additional Information :
WORK STATUS: HYBRID
Key Success Factors: Strong Power BI dashboard development expertise. Ability to analyze large, complex datasets and present findings to leadership. Strong reporting automation and business intelligence capabilities. Experience supporting engineering and manufacturing organizations. Ability to track multiple projects and cost-saving initiatives simultaneously. Strong communication and organizational skills