1

Healthcare Data Analytics Jobs in Rochester, MI (NOW HIRING)

Lead Data Scientist, Healthcare Analytics works with system leaders, business stake holders and business data analysts to fully understand their needs for data science solutions. Lead Data Scientist ...

Data Analyst Location:Detroit,MI Duration:Long Term OVERVIEW * The Data Analyst must be able to ... Aptitude, creativity, forward thinking and approach are key. * Healthcare industry knowledge is ...

Assess revenue quality, payer mix, reimbursement exposure, and contract dynamics within healthcare ... Analyze financial & key performance indicator deal data for trends and outliers * Directly advise ...

Who holds consulting experience in US Healthcare Payer market! Who holds 2+ years' experience in US Payer operations & US Payer system implementations! Who is experienced in systems and processes ...

... legal analysis, and client communication • Provide proactive compliance guidance and business-focused solutions to healthcare clients navigating regulatory challenges • Represent healthcare ...

... data warehouse build, data mart build, or similar) is required Qualifications Prior experience ... Excellent analytical, organizational, verbal and written communication skills. Additional ...

Help plan training schedule and train new Data Analysts in all aspects of case-finding, case ... As a health system, we advocate for equity as we care for our patients, our communities, and each ...

New

Showing results 21-40

Healthcare Data Analytics information

See Rochester, MI salary details

$22

$50

$86

How much do healthcare data analytics jobs pay per hour?

As of Jul 24, 2026, the average hourly pay for healthcare data analytics in Rochester, MI is $50.39, according to ZipRecruiter salary data. Most workers in this role earn between $40.48 and $57.07 per hour, depending on experience, location, and employer.

What healthcare jobs pay over $100k per year?

Healthcare data analysts, health informatics managers, and healthcare executives often earn over $100,000 annually. These roles typically require strong analytical skills, proficiency with data tools, and relevant certifications or advanced degrees. Salaries vary based on experience, location, and organization size.

Will healthcare data analyst be replaced by AI?

Healthcare data analysts play a crucial role in interpreting complex health data, and while AI tools can automate routine tasks like data collection and basic analysis, they are unlikely to fully replace analysts. Human expertise is essential for contextual understanding, decision-making, and ensuring data accuracy in healthcare environments.

What does a data analyst do in healthcare?

A healthcare data analyst collects, processes, and interprets medical and operational data to improve patient outcomes, optimize workflows, and support decision-making. They use tools like Excel, SQL, and data visualization software to identify trends and generate reports for healthcare providers and administrators.

What are some typical challenges faced in a Healthcare Data Analytics role?

Healthcare Data Analytics professionals often encounter challenges such as dealing with incomplete or inconsistent data, ensuring compliance with strict data privacy regulations like HIPAA, and integrating data from multiple sources. Maintaining data integrity while extracting meaningful insights requires analytical rigor and a thorough understanding of both healthcare workflows and data management best practices. Additionally, translating complex findings into actionable recommendations for clinical or administrative teams can be demanding but is key to driving improvements. Effective communication and a proactive approach to problem-solving help address these challenges and ensure impactful results.

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

To thrive in Healthcare Data Analytics, you need a strong background in statistics, data analysis, and healthcare systems, often supported by a degree in health informatics, data science, or a related field. Experience with tools like SQL, Python/R, Tableau, and electronic health record (EHR) systems, as well as certifications such as Certified Health Data Analyst (CHDA), is highly valuable. Problem-solving abilities, attention to detail, and effective communication skills help you interpret complex data and present insights to non-technical stakeholders. These competencies are crucial for successfully leveraging data to improve patient outcomes and drive operational efficiencies in healthcare organizations.

What is a Healthcare Data Analytics job?

A Healthcare Data Analytics job involves collecting, processing, and analyzing healthcare data to improve patient outcomes, operational efficiency, and decision-making. Professionals in this role use statistical models, machine learning, and data visualization tools to identify trends and insights. They work with electronic health records (EHRs), claims data, and other medical datasets to support healthcare providers, insurers, and policymakers. This role requires knowledge of data analysis techniques, healthcare regulations (such as HIPAA), and industry-specific software.

Is healthcare data analytics a good career?

Healthcare data analytics is a growing field that involves analyzing medical data to improve patient outcomes and operational efficiency. It typically requires skills in data management, statistical analysis, and familiarity with healthcare systems and tools like SQL, Python, or R. The profession offers strong job prospects, competitive salaries, and opportunities for specialization and advancement.
What job categories do people searching Healthcare Data Analytics jobs in Rochester, MI look for? The top searched job categories for Healthcare Data Analytics jobs in Rochester, MI are:
What cities near Rochester, MI are hiring for Healthcare Data Analytics jobs? Cities near Rochester, MI with the most Healthcare Data Analytics job openings:
Infographic showing various Healthcare Data Analytics job openings in Rochester, MI as of July 2026, with employment types broken down into 91% Full Time, 6% Part Time, and 3% Contract. Highlights an 83% Physical, 5% Hybrid, and 12% Remote job distribution, with an average salary of $104,815 per year, or $50.4 per hour.
Lead Data Scientist

Lead Data Scientist

Corporate Services

Detroit, MI • On-site

Other

Posted 14 days ago


Job description

GENERAL SUMMARY: 

Lead Data Scientist, Healthcare Analytics works with system leaders, business stake holders and business data analysts to fully understand their needs for data science solutions. Lead Data Scientist architects, defines, and design the data science solution, and works with Data Scientist, Associate Data Scientist, and other business analysts to implement the data science solution. Works/collaborates with various teams to build the solution and implement the solution in operations. Lead Data Scientist, Healthcare Analytics develops cutting edge solutions to resolve complex business problems. Skilled in using statistical techniques and good at solution architecting, design and implementing the solution. Hands on in using a variety of common analytical and AI tools. Will present findings in a compelling manner to system leaders, technical and non-technical audience. The position requires a team lead mindset who is ready to lead and deliver the projects using agile methodology. 

EDUCATION/EXPERIENCE REQUIRED: 

  • Must have an undergraduate (BS) degree in Statistics, Mathematics, Econometrics, Operations Research, Public Health, and Epidemiology or another related field. 
  • Master's degree or PhD degree is preferred. 
  • Five plus (5+) years of professional work experience. 
  • Three plus (3+) years of experience with predictive, forecasting, and optimization problem solving using data analytics tools like Python, R or SAS. Two plus (2+) years of experience involving quantitative data analyses for problem solving in US Healthcare industry. 
  • One plus (1+) year experience working with cloud Big Data Stack to orchestrate data gathering, cleansing, preparation and modelling preferred. Advanced SQL skills working with RDBMSs such as SQL Server, Oracle etc. 
  • Exceptionally skilled in machine learning, data analytics, pattern recognition and predictive modelling. 
  • 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, D3, etc. used to tell the data story to business users to foster adoption of analytic outputs created preferred. Strong communication and presentation skills. 
  • Effective communication and storytelling skills. 
  • Passion for continuous learning and contributing to hands on development. 
  • A true team player. Collaborative mindset for effective communication across teams.
Additional Information
  • Organization: Corporate Services
  • Department: Digital Enablement-A3
  • Shift: Day Job
  • Union Code: Not Applicable