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Data Visualization Specialist Jobs in Michigan (NOW HIRING)

Maddisoft

AI Specialist

Rochester, MI · On-site

AI Specialist Job Location: Rochester, MI- Onsite We are seeking an experienced AI Specialist to ... Experience working with data visualization tools such as Tableau or Power BI. Strong analytical ...

Saanvi Technologies

Senior Data Product Manager

Dearborn, MI · On-site

$116K - $153K/yr

Familiarity with SQL, Python, data visualization tools, and modern data architectures. * Experience ... Specialist Exp.: 10+ yrs in IT; 4+ yrs in concentration Education Required: Bachelor's Degree ...

FastTek

Business Intelligence Specialist

Dearborn, MI · On-site

... data visualization tools etc. Key Responsibilities: * Own assigned backlog items for Power BI ... Specialist Exp: 3+ experience in relevant field Experience Preferred: * Hands-on Power BI report ...

Infinitice, LLC

AI Speciailist

Pontiac, MI · On-site

The AI Specialist will lead the design, development, and launch of an enterprise AI innovation ... Exposure to data visualization, reporting, and executive-level storytelling. * Experience working ...

FastTek

AI Specialist

Pontiac, MI · On-site

... data visualization tools (Tableau, PowerBI) Additional Info: At FastTek Global, Our Purpose is Our People and Our Planet . We come to work each day and are reminded we are helping people find their ...

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All JobsData Visualization Specialist JobsData Visualization Specialist Jobs in Michigan

Data Visualization Specialist information

See Michigan salary details

$24.4K

$63.6K

$76.7K

How much do data visualization specialist jobs pay per year?

As of Aug 10, 2026, the average yearly pay for data visualization specialist in Michigan is $63,580.00, according to ZipRecruiter salary data. Most workers in this role earn between $45,300.00 and $75,800.00 per year, depending on experience, location, and employer.

What skills and qualifications are needed to be a data visualization specialist?

To thrive as a Data Visualization Specialist, you need strong analytical skills, proficiency in data analysis, and a solid understanding of visual design principles—often supported by a degree in data science, statistics, or a related field. Expertise in tools such as Tableau, Power BI, D3.js, as well as familiarity with SQL and Python, is commonly required and certification in these platforms can be advantageous. Excellent communication, problem-solving abilities, and attention to detail are key soft skills for interpreting complex data and collaborating with stakeholders. These competencies are crucial for transforming raw data into clear, actionable visual insights that drive informed decision-making.

What is a data visualization specialist?

A Data Visualization Specialist is responsible for transforming complex data into clear, engaging visual representations such as charts, graphs, and dashboards. They use tools like Tableau, Power BI, or Python libraries (e.g., Matplotlib, Seaborn) to present data insights effectively. Their role involves collaborating with analysts, designers, and stakeholders to ensure data-driven decision-making. Strong analytical skills, design knowledge, and proficiency in data storytelling are essential for success in this role.

Is data visualization a good career?

Data visualization is a valuable career for those interested in analyzing and presenting data visually using tools like Tableau, Power BI, or Python. It offers opportunities across industries such as finance, healthcare, and technology, with demand driven by the need for clear data communication and decision-making. Success in this field often requires strong analytical skills, knowledge of data tools, and the ability to interpret complex information effectively.

Does data visualization specialist pay well?

Data visualization specialists typically earn competitive salaries that vary based on experience, location, and industry. Professionals skilled in tools like Tableau, Power BI, or D3.js with strong analytical abilities tend to have higher earning potential, especially in tech and finance sectors.

How much do data visualization specialists make?

Data visualization specialists in the US typically earn between $60,000 and $110,000 annually, depending on experience, location, and industry. Senior roles or those with advanced skills in tools like Tableau or Power BI may earn higher salaries, often exceeding $120,000.

What does a data visualization specialist do?

A typical day for a Data Visualization Specialist often involves collaborating with data analysts and business stakeholders to understand reporting needs, gathering and cleaning datasets, and designing dashboards or visual reports using tools like Tableau or Power BI. You’ll spend time translating business requirements into effective visualizations, iterating on designs based on feedback, and ensuring data accuracy and clarity in all outputs. The role is a mix of independent technical work and collaborative meetings, and you'll frequently need to explain your visualizations and insights to non-technical team members. This dynamic environment allows you to apply both your technical abilities and creative skills to impact business decisions.

What are popular job titles related to Data Visualization Specialist jobs in Michigan? For Data Visualization Specialist jobs in Michigan, the most frequently searched job titles are:
What job categories do people searching Data Visualization Specialist jobs in Michigan look for? The top searched job categories for Data Visualization Specialist jobs in Michigan are:
Data Visualization Specialist jobs near you
Infographic showing various Data Visualization Specialist job openings in Michigan as of August 2026, with employment types broken down into 1% As Needed, 80% Full Time, 15% Part Time, and 4% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $63,580 per year, or $30.6 per hour.

AI Specialist

Maddisoft

Rochester, MI • On-site

Full-time

Posted 21 days ago

Job description

Overview:
Maddisoft has the following immediate opportunity, let us know if you or someone you know would be interested. Send in your resume ASAP. - U.S. Citizens and those authorized to work in the U.S. are encouraged to apply. Send in resume along with LinkedIn profile without which applications will not be considered. Call us NOW! ***Visa sponsorship is available for this position.
Job Title: AI Specialist
Job Location: Rochester, MI- Onsite
We are seeking an experienced AI Specialist to lead the design, development, and implementation of AI-driven initiatives that foster innovation and deliver measurable business value. This role focuses on establishing AI innovation programs, assessing organizational readiness, and driving cultural change while collaborating with cross-functional teams to identify, develop, and deploy AI solutions. The ideal candidate will possess a strong background in machine learning, data science, AI frameworks, and cloud technologies, along with the ability to translate business challenges into scalable AI solutions.
Key Responsibilities
Lead the design, development, and launch of enterprise AI innovation initiatives and programs.
Assess organizational readiness, innovation maturity, and AI adoption opportunities across business functions.
Establish AI operating models, governance frameworks, success metrics, and best practices aligned with organizational technology standards.
Collaborate with business leaders, technical teams, and stakeholders to identify high-value AI use cases and business opportunities.
Gather, analyze, and document business and technical requirements for AI solutions.
Design, develop, train, validate, and deploy machine learning and AI models to improve business processes and decision-making.
Develop AI roadmaps and prioritize innovation initiatives based on business impact and strategic objectives.
Promote cross-functional collaboration, knowledge sharing, and adoption of AI technologies throughout the organization.
Evaluate emerging AI technologies, research, tools, and industry trends to recommend innovative solutions.
Monitor AI solution performance and continuously improve models, workflows, and deployment strategies.
Ensure AI solutions follow security, governance, compliance, and ethical AI best practices.
Prepare technical documentation, presentations, and executive updates on AI initiatives and outcomes.
Support organizational change management efforts to encourage AI adoption and innovation culture.
Required Qualifications
Bachelor's degree in Computer Science, Artificial Intelligence, Data Science, Information Technology, or a related field (Master's degree preferred).
5+ years of experience designing, developing, and implementing AI, machine learning, or data science solutions.
Strong experience developing machine learning models using Python or R.
Hands-on experience with AI and machine learning frameworks such as TensorFlow, PyTorch, Keras, and Scikit-learn.
Experience with big data technologies including Apache Spark and Databricks.
Experience developing AI solutions using cloud platforms such as AWS (SageMaker, EC2, S3) and/or Microsoft Azure (Machine Learning Studio, Databricks).
Strong knowledge of SQL, NoSQL databases, and data engineering concepts.
Experience working with data visualization tools such as Tableau or Power BI.
Strong analytical, problem-solving, and communication skills.
Experience working in Agile software development environments.
Ability to collaborate effectively with technical and non-technical stakeholders.
Preferred Qualifications
Experience leading AI innovation programs or enterprise AI adoption initiatives.
Experience developing AI governance frameworks and responsible AI practices.
Knowledge of Generative AI, Large Language Models (LLMs), prompt engineering, or AI automation platforms.
Experience with MLOps, CI/CD pipelines, and AI model lifecycle management.
Familiarity with change management methodologies and organizational transformation initiatives.
AI, Cloud, or Data Science certifications are a plus.
Technical Environment
Programming: Python, R
AI/ML Frameworks: TensorFlow, PyTorch, Keras, Scikit-learn
Big Data: Apache Spark, Databricks
Cloud Platforms: AWS (SageMaker, EC2, S3), Microsoft Azure (Machine Learning Studio, Databricks)
Databases: SQL, NoSQL
Analytics & Visualization: Tableau, Power BI
Development Tools: Jupyter Notebooks
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Skills:
AI programs,AI solutions

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