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

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 ...

Senior Data Analyst - Product

Detroit, MI · On-site

$85K - $107K/yr

Support the team's transition to Sigma as our primary reporting and visualization platform * Stay ... Conceptual knowledge of software programming fundamentals Preferred Qualifications * Domain ...

Deliver insights through clear reporting and data visualization using Tableau and Power BI ... Bachelor's or Master's degree in Computer Science, Applied Mathematics, Statistics, Engineering, or ...

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Data Visualization Engineer information

See Detroit, MI salary details

$44.1K

$128.4K

$175.7K

How much do data visualization engineer jobs pay per year?

As of Aug 20, 2026, the average yearly pay for data visualization engineer in Detroit, MI is $128,415.00, according to ZipRecruiter salary data. Most workers in this role earn between $113,400.00 and $136,100.00 per year, depending on experience, location, and employer.

What is a data visualization engineer?

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 as a data visualization engineer, 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 August 2026, with employment types broken down into 1% As Needed, 84% Full Time, 12% Part Time, and 3% Contract. Highlights an 86% Physical, 4% Hybrid, and 10% Remote job distribution, with an average salary of $128,415 per year, or $61.7 per hour.

Sr. Business Analyst - Data Analytics, Visualization & AI Solutions

General Motors

Warren, MI

Full-time

Posted 2 days ago

New


General Motors rating

8.2

Company rating: 8.2 out of 10

General Motors

Based on 306 frontline employees who took The Breakroom Quiz

7.4

Company rating compared to similar companies: 7.4 out of 10

Automakers average

Based on 6,290 frontline employees who took The Breakroom Quiz


Job description

Job Description

The Role

The Propulsion Business Analyst will serve as a strategic partner to business leaders by transforming complex data into actionable insights, interactive visualizations, and intelligent automation solutions. This role combines expertise in business analytics, dashboard development, AI agent creation, and data visualization across Microsoft and Google platforms to drive operational efficiency, decision-making, and business performance.


The ideal candidate will possess strong analytical skills, experience designing enterprise reporting solutions, and the ability to leverage artificial intelligence technologies to automate workflows and improve business processes.

What You'll Do

Business Analytics & Insights

  • Analyze large and complex datasets to identify trends, risks, opportunities, and performance drivers.
  • Develop data models and analytical frameworks to support business strategy and operational excellence.
  • Translate business challenges into actionable data-driven recommendations.
  • Define, track, and monitor key business performance indicators.
  • Utilize advanced analytics techniques to identify optimization opportunities and business risks.


Dashboard Development & Data Visualization

  • Design, develop, and maintain interactive dashboards and reporting solutions using:
  • Microsoft Power BI
  • Google Looker Studio
  • Google Analytics
  • Tableau
  • Create executive-level visualizations that simplify complex business information
  • Develop scalable reporting solutions that automate data refreshes and improve data accessibility.
  • Ensure reporting governance, metric consistency, and data quality standards.


AI Agent Development & Automation

  • Design, build, and deploy AI agents using platforms such as:
  • Microsoft Copilot Studio
  • Google Vertex AI
  • Google Gemini
  • Azure AI Services
  • Google Agent Builder
  • Power Platform
  • Develop AI-powered assistants that enhance employee productivity and decision-making.
  • Identify opportunities to automate business processes using AI and workflow automation tools.
  • Integrate AI solutions with enterprise data sources and business applications.


Data Management & Engineering Support

  • Extract, transform, and analyze data from ERP, CRM, manufacturing, supply chain, and financial systems.
  • Utilize tools such as:
    • SQL
    • Python
    • Power Query
    • Google BigQuery
    • Microsoft Fabric
  • Partner with IT and data engineering teams to establish scalable data pipelines and architectures.
  • Support data governance, master data management, and data quality initiatives.

Stakeholder Engagement

  • Gather business requirements and translate them into scalable analytics and automation solutions.
  • Present findings and recommendations to executive leadership and operational stakeholders.
  • Train users on dashboards, AI tools, and self-service analytics capabilities.
  • Serve as a trusted advisor for data-driven decision-making and digital transformation initiatives.

Your Skills & Abilities (Required Qualifications)

  • Bachelor's degree in Business Analytics, Data Science, Information Systems, Engineering, Computer Science, or related field.
  • 5+ years of experience in business analytics, business intelligence, data visualization, or digital transformation.
  • Advanced proficiency in one or more visualization platforms:
  • Power BI
  • Looker Studio
  • Tableau
  • Experience with Google Cloud Platform (GCP) and/or Microsoft Azure environments.
  • Experience developing AI agents, copilots, chatbots, or workflow automations.
  • Strong SQL and data modeling capabilities.
  • Experience with Google BigQuery or enterprise data warehouses
  • Strong communication, project management, and stakeholder engagement skills.

What Will Give You a Competitive Edge (Preferred Qualifications)

  • Experience with:
  • Google Vertex AI
  • Gemini AI
  • Agent Builder
  • Looker
  • Google Analytics 4 (GA4)
  • Microsoft Fabric
  • Power Automate
  • Azure AI Services
  • Python, R, or machine learning experience.
  • Knowledge of predictive analytics and generative AI technologies.
  • Experience in automotive, manufacturing, supply chain, purchasing, logistics, or operations environments.
  • Professional certifications in:
  • Google Cloud Professional Data Analytics
  • Google Cloud Professional Machine Learning Engineer
  • Microsoft Power BI Data Analyst Associate
  • Microsoft AI Engineer Associate
GM does not provide immigration-related sponsorship for this role. Do not apply for this role if you will need GM immigration sponsorship now or in the future. This includes direct company sponsorship, entry of GM as the immigration employer of record on a government form, and any work authorization requiring a written submission or other immigration support from the company (e.g., H1-B, OPT, STEM OPT, CPT, TN, J-1, etc). This role is categorized as hybrid. This means the selected candidate is expected to report to a specific location at least 3 times a week {or other frequency dictated by their manager}. This job may be eligible for relocation benefits.

About GM

Our vision is a world with Zero Crashes, Zero Emissions and Zero Congestion and we embrace the responsibility to lead the change that will make our world better, safer and more equitable for all.

Why Join Us

We believe we all must make a choice every day - individually and collectively - to drive meaningful change through our words, our deeds and our culture. Every day, we want every employee to feel they belong to one General Motors team.

Benefits Overview

From day one, we're looking out for your well-being-at work and at home-so you can focus on realizing your ambitions. Learn how GM supports a rewarding career that rewards you personally by visiting Total Rewards resources.

Non-Discrimination and Equal Employment Opportunities (U.S.)

General Motors is committed to being a workplace that is not only free of unlawful discrimination, but one that genuinely fosters inclusion and belonging. We strongly believe that providing an inclusive workplace creates an environment in which our employees can thrive and develop better products for our customers.

All employment decisions are made on a non-discriminatory basis without regard to sex, race, color, national origin, citizenship status, religion, age, disability, pregnancy or maternity status, sexual orientation, gender identity, status as a veteran or protected veteran, or any other similarly protected status in accordance with federal, state and local laws.

We encourage interested candidates to review the key responsibilities and qualifications for each role and apply for any positions that match their skills and capabilities. Applicants in the recruitment process may be required, where applicable, to successfully complete a role-related assessment(s) and/or a pre-employment screening prior to beginning employment. To learn more, visit How we Hire.

Accommodations

General Motors offers opportunities to all job seekers including individuals with disabilities. If you need a reasonable accommodation to assist with your job search or application for employment, email us or call us at 1-800-865-7580. In your email, please include a description of the specific accommodation you are requesting as well as the job title and requisition number of the position for which you are applying.


Working at General Motors


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About General Motors

Sourced by ZipRecruiter

General Motors is a company with global scale and capabilities, headquartered in Detroit, Michigan, with employees around the world. The company employs over 165,000 people, serves six continents, operates across 22 time zones, and has a diverse workforce speaking 75 languages1. GM’s vision is to drive the world forward by pioneering innovations that move and connect people to what matters. The company is working towards an all-electric future with its new Ultium Platform and is pushing transportation options beyond our wildest imaginations with autonomous vehicles. GM is also committed to becoming the most inclusive company in the world.

Industry

Transportation equipment manufacturing

Company size

10,000+ Employees

Headquarters location

Detroit, MI, US

Year founded

1908