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Healthcare Data Analytics Jobs in Minnesota (NOW HIRING)

HealthPartners

Value Based Care Data Analyst

Bloomington, MN · On-site

$36.37 - $54.55/hr

... Care analytics team, offering opportunities to make a meaningful impact on improving health ... The Value Based Care Data Analyst leverages data to improve patient and member experiences, enhance ...

3B Staffing LLC

Sr. Business Data Analyst

Hopkins, MN · On-site

Minnetonka, MN Duration: Long Term Description: ***must have healthcare data experience, strong SQL experience, and good data analysis skills*** • Overall 10+ years of experience • Lead ...

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3B Staffing LLC

Sr. Business Data Analyst

Hopkins, MN · On-site

Minnetonka, MN Duration: Long Term Description: ***must have healthcare data experience, strong SQL experience, and good data analysis skills*** • Overall 10+ years of experience • Lead ...

New

Coloplast

Data & Analytics, Manager

Minneapolis, MN · On-site

Establish and maintain data security, compliance, and governance practices aligned with HIPAA and healthcare regulations Analytics Delivery & Execution * Drive end-to-end analytics outcomes through ...

Randstad Digital

Manager Data Analytics

Eden Prairie, MN · On-site

$27.50 - $37.50/hr

Enterprise Healthcare client has an immediate opening for a highly motivated Manager Data Analytics to join their dynamic and growing team. All qualified candidates are encouraged to apply! location:

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Healthcare Data Analytics information

See Minnesota salary details

$24

$53

$92

How much do healthcare data analytics jobs pay per hour?

As of Aug 13, 2026, the average hourly pay for healthcare data analytics in Minnesota is $53.62, according to ZipRecruiter salary data. Most workers in this role earn between $43.08 and $60.72 per hour, depending on experience, location, and employer.

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 healthcare data analytics?

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?

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.

How can I become a healthcare data analyst?

To become a healthcare data analyst, you typically need a bachelor's degree in health informatics, statistics, or a related field. Developing skills in data analysis tools like Excel, SQL, and statistical software, along with understanding healthcare systems and data privacy regulations, is essential. Gaining relevant experience through internships or certifications can also improve job prospects.

What does a healthcare data analyst do in healthcare?

A healthcare data analyst collects, analyzes, and interprets healthcare data to improve patient outcomes, optimize operations, 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.

Is healthcare data analytics a good career?

Healthcare data analytics is a growing field that involves analyzing health data to improve patient outcomes and operational efficiency. It typically requires skills in data management, statistical analysis, and familiarity with tools like SQL and Python, making it a promising career with increasing demand and job opportunities.
What are popular job titles related to Healthcare Data Analytics jobs in Minnesota? For Healthcare Data Analytics jobs in Minnesota, the most frequently searched job titles are:
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What cities in Minnesota are hiring for Healthcare Data Analytics jobs? Cities in Minnesota with the most Healthcare Data Analytics job openings:
Healthcare Data Analytics jobs near you
Infographic showing various Healthcare Data Analytics job openings in Minnesota as of August 2026, with employment types broken down into 89% Full Time, and 11% Part Time. Highlights an 89% In-person, and 11% Remote job distribution, with an average salary of $111,529 per year, or $53.6 per hour.

Healthcare Data Analytics

3B Staffing LLC

Minneapolis, MN • On-site

Full-time

This job post has expired 1 day ago. Applications are no longer accepted.

Job description

Job Description Position background: o This position will be part of our Data Science Solutions and Strategy (DS3) Team within the United Healthcare Controllership. The role will be involved multiple technology projects throughout the year to help our organization ensure data quality while assisting with analysis, metric, and report creations. They will have the ability to research and apply various data mining and data science methods in these processes and will be a key resource for major project deliverables. What does this position accomplish for the business? o This position will support various Financial Data Management teams with data testing and data quality assessment. Please describe the team the candidate will be working with (number of team members break- down of the teams skill sets team culture etc.). o The DS3 team is approximately 35 members with the direct team being 5-7 individuals. The team is extremely skilled in various big data technologies (Hive, Hadoop, Teradata) and has a variety of programming skills (SAS, SQL, Python, R) etc. What are the top 5-10 responsibilities for this position (please be detailed as to what the candidate is expected to do or complete on a daily basis)? o Assist various groups in the transition of Financial Systems data flows to various ETL or data warehouse platforms. o Create programs and automated processes for reporting and dashboarding on various data quality measures. o Research and development on various metrics and analytical methods to help with data quality, automated testing, and validation processes. o Develop sophisticated methods for anomaly detection, pattern analysis, change point detection, threshold measuring and other approaches for measure data changes. o Exploratory data analysis and research to determine data baselines and thresholds for summary analysis. What does the ideal candidate background look like (ex: healthcare specific background specific industry experience etc.)? o Healthcare data experience not required but helpful. o 4-year degree in Data Science, Analytics, Mathematics, Statistics, or Computer Science. o 4+ years of experience as a data analyst, data scientist or data engineer. What skills/attributes are required (please be detailed as to number of years of experience for each skill)? o Ability to build complex SQL queries o Ability to confidently communicate findings and help implement change o Professional experience with various data platforms like Microsoft SQL Server, SAS Fusion Hadoop, Teradata, Hive, AWS, Azure, etc.) o Professional experience with various data business intelligence software tools like Power BI, Tableau, iDashboards etc. What skills/attributes are preferred (what will set a candidate apart)? o Aptitude for telling stories with data. o Experience with presenting to Senior Management or Executive Leadership. o SAS Certification, Teradata Vantage Certification, Microsoft Certified Professional o Advanced degree in Data Science or Analytics. o Experience with Github, Agile Methodology. Does this position require a professional license or certification? If so please list. o No What is the dress code (ex: business casual scrubs etc.)? o Business Casual How would you prefer to interview? (Video phone or in person? How many rounds?) • 2 rounds of interviews (MS Teams). o 1hr panel session. o 30min with hiring manager.

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