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Data Analyst Tableau Jobs in Michigan (NOW HIRING)

Proficiency with data visualization and Business Intelligence (BI) tools like Power BI, Tableau, or QlikView. SAP Analytics cloud experience will be a big plus * Exposure working in a landscape with ...

Proficiency with data visualization and Business Intelligence (BI) tools like Power BI, Tableau, or QlikView. SAP Analytics cloud experience will be a big plus * Exposure working in a landscape with ...

Insights Analyst #1060286

Troy, MI · On-site

$55.10 - $82.66/hr

... data analysis and manipulation - hard requirement. * Hands‑on Tableau experience building ... dashboards for real stakeholders - hard requirement. * Experience with GitHub for version control ...

Data Analysis Tutor

Ann Arbor, MI · Remote

$18 - $40/hr

Adapts instruction using Excel, Google Sheets, SQL platforms, and visualization tools like Tableau ... data analysis capabilities. * Effective Teaching Methods: Ability to identify concepts students ...

Data Analysis Tutor

Detroit, MI · Remote

$18 - $40/hr

Adapts instruction using Excel, Google Sheets, SQL platforms, and visualization tools like Tableau ... data analysis capabilities. * Effective Teaching Methods: Ability to identify concepts students ...

Showing results 41-60

Data Analyst Tableau information

See Michigan salary details

$29.6K

$72K

$118.5K

How much do data analyst tableau jobs pay per year?

As of Sep 5, 2026, the average yearly pay for data analyst tableau in Michigan is $72,029.00, according to ZipRecruiter salary data. Most workers in this role earn between $54,500.00 and $84,500.00 per year, depending on experience, location, and employer.

What does a data analyst Tableau do?

A Data Analyst Tableau specializes in analyzing and interpreting data using Tableau, a powerful data visualization tool. They gather, clean, and organize large datasets, then create interactive dashboards and reports to help organizations make informed, data-driven decisions. Their work often involves collaborating with stakeholders to understand business needs and translating complex data into actionable insights. Strong proficiency in Tableau, analytical thinking, and communication skills are essential for success in this role.

What are the key skills and qualifications needed to thrive as a data analyst Tableau, and why are they important?

To thrive as a Data Analyst specializing in Tableau, you need strong analytical skills, proficiency in data visualization, and a solid background in statistics or a related field, often supported by a relevant degree. Mastery of Tableau, SQL databases, Excel, and sometimes certifications like Tableau Desktop Specialist are typically required. Attention to detail, problem-solving, and effective communication are critical soft skills for translating complex data into actionable insights. These competencies enable clear, data-driven decision-making and ensure that stakeholders can easily understand and act on analytical findings.

How does a data analyst specializing in Tableau typically collaborate with other departments to drive data-driven decisions?

Data Analysts who specialize in Tableau often work closely with departments such as marketing, finance, operations, and product teams to understand their data needs and transform raw data into actionable insights. They gather requirements from stakeholders, build interactive dashboards, and present findings in a visually compelling manner to support decision-making. Regular collaboration includes participating in cross-functional meetings, training team members on dashboard usage, and iterating on reports based on feedback. This collaborative approach ensures that analytical solutions are aligned with business objectives and are easily understood by non-technical audiences.

What is the difference between Data Analyst Tableau vs Data Analyst Power BI?

AspectData Analyst TableauData Analyst Power BI
CertificationsTableau Desktop Specialist, Certified Data AnalystMicrosoft Certified Data Analyst Associate
Work EnvironmentPrimarily uses Tableau for data visualization and reportingPrimarily uses Power BI for data visualization and reporting
Industry UsagePopular in finance, healthcare, and consulting firmsCommon in corporate, retail, and technology sectors
Skills RequiredData visualization, SQL, data analysis, Tableau dashboardsData modeling, DAX, Power BI dashboards, SQL

Both Data Analyst Tableau and Data Analyst Power BI roles focus on data visualization and reporting. The main difference lies in the tools used: Tableau versus Power BI. Your choice depends on employer preferences, existing tech stacks, and your certification goals.

What job categories do people searching Data Analyst Tableau jobs in Michigan look for?

The top searched job categories for Data Analyst Tableau jobs in Michigan are:

Infographic showing various Data Analyst Tableau job openings in Michigan as of August 2026, with employment types broken down into 1% As Needed, 78% Full Time, 19% Part Time, and 2% Contract. Highlights an 84% Physical, 4% Hybrid, and 12% Remote job distribution, with an average salary of $72,029 per year, or $34.6 per hour.

Project Manager - Data Analytics

Apetan Consulting llc

Royal Oak, MI • On-site

$50 - $55/hr

Contractor

Re-posted 16 days ago


Job description

 Role: Project Manager – Data Analytics

Location: Royal Oak MI Hybrid

 

Job Summary

We are seeking an experienced Project Manager – Data Analytics to lead enterprise-scale analytics initiatives. The ideal candidate will have a strong understanding of Data Analytics, Data Lakes, Data Pipelines, ETL processes, and modern cloud-based analytics platforms, along with proven experience managing cross-functional technical teams and delivering data-driven projects.

Required Skills

  • 8+ years of IT experience with 3+ years as a Project Manager.
  • Strong experience managing Data Analytics and Data Engineering projects.
  • Hands-on understanding of:
    • Data Lakes (Azure Data Lake, AWS S3, Databricks, Snowflake, etc.)
    • Data Pipelines
    • ETL/ELT processes
    • Data Warehousing
    • Data Integration
  • Experience with cloud platforms such as Azure, AWS, or GCP.
  • Familiarity with SQL and analytics/reporting tools like Power BI, Tableau, or Looker.
  • Experience working with Agile/Scrum methodologies.
  • Strong stakeholder management and communication skills.

Preferred Skills

  • Experience with Databricks, Snowflake, Azure Data Factory, Apache Spark, Kafka, Airflow, or similar technologies.
  • Knowledge of data governance, data quality, and metadata management.
  • PMP, Scrum Master, or Agile certification.

Responsibilities

Lead end-to-end delivery of Data Analytics and Data Engineering projects.

Coordinate with business stakeholders, architects, data engineers, and analytics teams.

Manage project scope, timelines, budgets, risks, and dependencies.

Oversee implementation of data lakes, data pipelines, and analytics solutions.

Ensure project delivery aligns with business objectives and quality standards.

Drive Agile ceremonies and provide regular status updates to leadership.

                Identify and mitigate project risks while ensuring timely delivery