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Data Intelligence Jobs in Michigan (NOW HIRING)

Data Analyst

Detroit, MI ยท On-site

$45/hr

Work with business and vendor partners, and project delivery leads to determine business data intelligence needs. Interpret and document the data needs for the business. * Analyze program needs and ...

SAP BTP Lead

Troy, MI ยท On-site

Ensure integration solutions are designed to meet business requirements for real-time data processing, business intelligence, and operational efficiency. * Utilize middleware tools and technologies ...

Ensure integration solutions are designed to meet business requirements for real-time data processing, business intelligence, and operational efficiency. * Utilize middleware tools and technologies ...

3DX PLM Architect

Dearborn, MI ยท On-site

$58 - $76.50/hr

Data Intelligence, Business Resilience, and Digital Experience. Founded in , the company is headquartered in Morristown, New Jersey, US, , with a team of 501-1000 employees. The company is currently ...

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Showing results 1-20

Data Intelligence information

See Michigan salary details

$69.3K

$115.7K

$155.6K

How much do data intelligence jobs pay per year?

As of Jul 11, 2026, the average yearly pay for data intelligence in Michigan is $115,672.00, according to ZipRecruiter salary data. Most workers in this role earn between $105,900.00 and $127,700.00 per year, depending on experience, location, and employer.

Is 40 too old to become a data analyst?

Age is not a barrier to becoming a data analyst; many professionals transition into this field later in life. Success depends on acquiring relevant skills such as data visualization, SQL, and statistical analysis, often through online courses or certifications. Employers value experience and analytical ability regardless of age.

Will AI replace a data analyst?

AI tools can automate routine data processing and analysis tasks, but data analysts are essential for interpreting complex insights, making strategic decisions, and communicating findings. The role of a data analyst evolves with technology, emphasizing skills in data storytelling, domain knowledge, and tool proficiency like SQL and visualization software. AI complements rather than replaces the human element in data analysis roles.

What is a Data Intelligence job?

A Data Intelligence job involves collecting, analyzing, and interpreting data to support decision-making and business strategy. Professionals in this field use various tools and techniques, including data mining, machine learning, and visualization, to uncover insights and trends. They work closely with stakeholders to translate data into actionable recommendations, improving efficiency and innovation. Roles may vary from data analysts to data scientists, depending on the organization's needs and complexity.

What does data intelligence do?

Data intelligence involves analyzing large volumes of data to extract meaningful insights that support decision-making. Professionals in this field use tools like data visualization, statistical analysis, and machine learning to identify patterns, trends, and opportunities within data sets. They often work with data management platforms and require skills in programming, data analysis, and critical thinking.

What is the highest paying job in data analytics?

The highest paying roles in data analytics typically include Data Science Managers, Data Architects, and Chief Data Officers, with salaries often exceeding six figures. These positions require advanced skills in machine learning, data modeling, and leadership, and they usually involve overseeing large data teams and strategic initiatives.

What are the typical daily responsibilities of a Data Intelligence professional?

A Data Intelligence professional typically spends their workday collecting, processing, and analyzing large datasets to uncover trends and actionable insights. They often collaborate with cross-functional teams, such as business analysts, product managers, or IT professionals, to define data requirements and support ongoing projects. Additional responsibilities may include creating dashboards or reports, ensuring data accuracy and integrity, and communicating findings to both technical and non-technical stakeholders. Frequent problem-solving, adapting to shifting priorities, and keeping up with the latest analytical tools are also common aspects of the role.

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

To thrive in Data Intelligence, you need strong analytical skills, a solid understanding of data science principles, and a background in fields such as statistics, computer science, or information systems. Familiarity with tools like SQL, Python, Tableau, and experience with data warehousing and business intelligence platforms are highly valuable, as are certifications such as Certified Analytics Professional (CAP) or related credentials. Excellent problem-solving abilities, effective communication, and a collaborative mindset help drive actionable insights from complex datasets. These skills are essential for translating raw data into meaningful intelligence that guides business strategy and decision-making.

Infographic showing various Data Intelligence job openings in Michigan as of July 2026, with employment types broken down into 1% As Needed, 84% Full Time, 12% Part Time, and 3% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $115,672 per year, or $55.6 per hour.
Data Analyst

Data Analyst

R3 Tek

Detroit, MI โ€ข On-site

$45/hr

Contractor

Posted 22 days ago


Job description

Greetings,

Position:Data Analyst Location:Detroit,MI Duration:Long Term OVERVIEW
  • The Data Analyst must be able to lead discussions with internal and external customers.
  • Must be able to take charge and drive results on projects.
  • Advanced ability to analyze, critically review a data warehouse, advanced SQL, and data flow is essential.
  • Aptitude, creativity, forward thinking and approach are key.
  • Healthcare industry knowledge is highly preferred, insurance industry experience is also valued.
  • Informatica experience is a plus.

WHAT YOU WILL BE DOING

  • Develop medium to highly complex logical database designs, logical data models and relational data definitions in support of corporate and customer information systems requirements.ร‚
  • Work closely with customers, vendors, business analysts and application development project teams to resolve information flow and content issues.
  • Work on enterprise-wide complex projects/issues/enhancements as a team member or lead.
  • Work with IT teams to ensure compliance.ร‚
  • Work with business and vendor partners, and project delivery leads to determine business data intelligence needs. Interpret and document the data needs for the business.ร‚
  • Analyze program needs and translate them into data warehousing and data mart requirements.
  • Work in partnership with data architects to design the common customer view of information.ร‚
  • Define, document, and maintain all data definitions, manage data dictionary, data sources, business meaning and usage of information.ร‚
  • Recognize and resolve conflicts between models, ensuring that data models are consistent with the enterprise model (e.g., entity names, relationships and definitions).ร‚
  • Perform regular audits of data, develop single source data strategy.
  • Develop solutions and recommendations for improving data integrity issues, establish data profiling and preventative procedures to improve data quality.ร‚
  • Assist in the coaching and training of customers in the use of business intelligence tools to enhance business decision-making capability.ร‚
  • Provide leadership, coaching and mentoring to team members. Provide performance feedback to managers, as needed.ร‚

EDUCATION AND/OR EXPERIENCE

  • Bachelor's degree in related field preferred.
  • Experience in Healthcare domain is highly preferred.
  • Analytical thinking; accuracy and attention to detail skills.
  • Must have a solid understanding of logical database design principles.
  • Experience data quality assurance and/or data management required.
  • Expertise with data quality tools for data profiling, cleansing and standardization preferred.
  • Experience in implementing solutions and processes for master data and hierarchy synchronizations preferred.
  • Understand the methodologies and technologies that depict the flow of data within and between technology systems and business functions/operations.
  • Excellent written and verbal communication skills; interpersonal skills.
  • Ability to speak effectively before groups of customers or employees of the organization.

CORE COMPETENCIES

YEARS

  • Healthcare or
  • Insurance Domain

ร‚

Analytical thinking; accuracy and attention to detail skills

ร‚

Solid understanding of logical database design principles

ร‚

  • Quality assurance
  • Data management

ร‚

Data quality tools for data profiling, cleansing and standardization

ร‚

Implementing solutions and processes for master data and hierarchy synchronizations

ร‚

Understand methodologies and technologies that depict the flow of data within and between technology systems and business functions/operations

ร‚

Excellent written and verbal communication skills; interpersonal skills

ร‚

Establish and maintain effective working relationships with team members

ร‚

Create, read, and interprets documents including process, procedure, and technical manuals

ร‚

Write routine reports and correspondence

ร‚

Speak effectively before groups of customers or employees of the organization

ร‚

ร‚

Warm Regards, Rahul

R3 Technology Inc.,

324 Courtyard Drive, Suite A

Hillsborough, New Jersey,ร‚08844

Direct:7328373458

Website: www.r3tek.com


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About R3TEK

Sourced by ZipRecruiter

Industry

It services

Company size

51 - 200 Employees

Headquarters location

Hillsborough, NJ, US

Year founded

2006