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Entry Level Health Data Analyst Jobs in Michigan

OpTech LLC

Business System Analyst/PM

Detroit, MI · On-site

Detroit, Michigan Business Analyst Contract We are looking for a Business/IT Data Analyst with PM experience for a healthcare payer company. This is hybrid in metro Detroit MI. Engagement Description ...

ArcelorMittal

Data Analytics Co-Op

Detroit, MI · On-site

Data Analytics Co-Op Location: Detroit, MI Who Are We? Are you ready to be part of a dynamic and ... our planet's health. By making cars lighter, our innovations help reduce carbon emissions. It ...

ArcelorMittal

Data Analytics Co-Op

Detroit, MI · On-site

Data Analytics Co-Op Location: Detroit, MI Who Are We? Are you ready to be part of a dynamic and ... health. By making cars lighter, our innovations help reduce carbon emissions. It's more than work ...

IBM

Associate Data Engineer 2027 - AI & Analytics

Lansing, MI · On-site

$59K - $60K/yr

No two projects are exactly alike-you could support healthcare, financial services, public sector ... entry-level positions. You'll receive a status update email for each application, so be sure to ...

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Entry Level Health Data Analyst information

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How much do entry level health data analyst jobs pay per hour?

As of Aug 21, 2026, the average hourly pay for entry level health data analyst in Michigan is $28.70, according to ZipRecruiter salary data. Most workers in this role earn between $18.46 and $32.07 per hour, depending on experience, location, and employer.

What does an entry level health data analyst do?

As an entry-level health data analyst, your responsibilities are to gather medical records, billing records, and other health data and analyze them for a hospital or healthcare company. Your goal as a health data analyst is to identify trends in the data and suggest ways to improve treatment while lowering the cost of service provision within the healthcare company or medical care facility. Your specific duties include pulling medical records, researching medical databases, analyzing electronic health records, and developing reports from your analysis. Since this is an entry-level position, you may assist a more experienced analyst until you gain the necessary skills.

What are the key skills and qualifications needed to thrive as an entry level health data analyst, and why are they important?

To thrive as an Entry Level Health Data Analyst, you need a solid grasp of statistics, data analysis, and healthcare terminology, typically supported by a bachelor's degree in health informatics, statistics, or a related field. Familiarity with data analysis tools such as Excel, SQL, and statistical software like SAS or R, as well as experience with electronic health records (EHR) systems, is highly valued. Strong attention to detail, problem-solving abilities, and effective communication skills help you interpret and present data insights clearly to diverse stakeholders. These competencies are crucial for transforming raw health data into actionable information that supports evidence-based decisions in healthcare organizations.

What are some typical challenges faced by entry level health data analysts and how can they overcome them?

Entry-level health data analysts often encounter challenges such as working with incomplete or inconsistent healthcare data, learning complex data management systems, and adapting to strict privacy regulations like HIPAA. To overcome these, new analysts should focus on developing strong data cleaning skills, seek mentorship from experienced colleagues, and stay updated with industry best practices. Effective communication with healthcare professionals and IT teams is also crucial for clarifying data requirements and ensuring accurate analysis.

What is the difference between Entry Level Health Data Analyst vs Health Data Specialist?

AspectEntry Level Health Data AnalystHealth Data Specialist
Required CredentialsBachelor's in health informatics, data science, or related field; basic knowledge of data analysis toolsBachelor's or associate degree; familiarity with health data systems and compliance standards
Work EnvironmentHealthcare organizations, clinics, or health IT companies; entry-level roles with supervisionHospitals, clinics, or health agencies; often involves managing health data systems
Employer & Industry UsageCommonly used in healthcare analytics teams, research, and reportingUsed in health information management, data entry, and system maintenance

In summary, Entry Level Health Data Analysts focus on analyzing healthcare data to support decision-making, while Health Data Specialists often handle data management and system operations. Both roles require familiarity with health data standards but differ in their primary responsibilities and skill sets.

More about Entry Level Health Data Analyst jobs

What are the most commonly searched types of Health Data Analyst jobs in Michigan?

The most popular types of Health Data Analyst jobs in Michigan are:

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Entry Level Health Data Analyst jobs near you
Infographic showing various Entry Level Health Data Analyst job openings in Michigan as of August 2026, with employment types broken down into 100% Full Time. Highlights an 50% In-person, and 50% Remote job distribution, with an average salary of $59,693 per year, or $28.7 per hour.

Data Governance Analyst

Renaissance Partners

Dearborn, MI • On-site

Contractor

Re-posted 8 days ago

Job description

Company Description
Renaissance Partners is a NYC based recruiting firm and trusted adviser to leading companies in the financial services, technology, retail and healthcare industries.
Job Description
As a Data Governance Analyst with a leading design and manufacturing company you will work across all areas of the company to ensure data quality, data management, data policies and risk management. In addition you will ensure data is profiled to identify data attributes for security, understand content and opportunities to improve it with standards. You will also work with various stakeholders to make recommendations to improve data quality, data standardization and data transformation.
Responsibilities:
  • Data usage/data management/data protection including.
  • Perform data profiling of sources to assess data quality and work on mitigation strategies and cleansing solutions.
  • Populate Metadata content and associate terms in the Business Glossary to develop the Informatica Enterprise Data Catalog.
  • Resolve data issues in the appropriate forums and work cross functionally to develop solutions.
  • Collaborate with Data, Analytics and IT teams and guide them on data standards and the use of Informatica tools.
  • Identify relationships in data to assist in providing insights.
  • Establish repeatable, sustainable processes to maintain data and metadata.
  • Understand company and regulatory guidelines regarding data privacy, usage and retention (PII, GDPR, SPII).
  • Deliver training and communications for new Informatica capability and Data Governance processes.
  • Automate solutions to enable data protection for inter-related systems data.
  • Utilize skills in Informatica Software: Data Quality, Profiling and Data. Management tools, SQL and Data discovery techniques.

Qualifications
Required:
  • 8 + years of progressive responsibilities in Data Integration/Data Management
  • Informatica experience including: Analyzer, MDM, EIC, EDL, EDC, BDM, IDQ, PowerCenter
  • Skills in Java, NoSQL, HADOOP, IBM Data Stage/Quality Stage.
  • Data Management tools, SQL and Data discovery techniques.
  • Bachelor's Degree in Computer Science, Statistics, Finance or a related technical field.

Preferred:
  • Knowledge of Application Development Lifecycle.
  • Strong collaboration and communications skills, ability to engage with others.
  • Ability to resolve complex problems and break them down to create and implement an action plan.
  • Ability to lead data related project activities.
  • Self-Starter who can work in ambiguous situations and drive to a solution.
  • Strong organizational skills and ability to advance multiple work streams concurrently.
  • Ability to work within analytical frameworks in a Big Data environment (Data Lake, EDW, Data Warehouse architectures.

Additional Information
This is a contract position.

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