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Data Analysis Manager Jobs in High Point, NC (NOW HIRING)

Industry/Sector Not Applicable Specialism Data, Analytics & AI Management Level Manager & Summary The Opportunity As an AI & GenAI Data Scientist - Manager, you will play a pivotal role in ...

Financial Analyst III

Greensboro, NC · On-site +1

$80K - $100K/yr

This position reports to the FP&A Manager and will work closely with the Director of Finance and ... Work cross-functionally with various departments and executives to analyze data that drives action ...

Financial Analyst III

Greensboro, NC · On-site +1

$80K - $100K/yr

This position reports to the FP&A Manager and will work closely with the Director of Finance and ... · Maintain data integrity across ERP and reporting systems to ensure accuracy of financial ...

Financial Analyst III

Greensboro, NC · On-site

$80K - $100K/yr

This position reports to the FP&A Manager and will work closely with the Director of Finance and ... • Maintain data integrity across ERP and reporting systems to ensure accuracy of financial ...

Collaborate with other teams including search and data engineering, web and marketing analysts, data analyst, project managers, system team and other contractors/consultants. Write code in Python/R ...

Collaborate with other teams including search and data engineering, web and marketing analysts, data analyst, project managers, system team and other contractors/consultants. Write code in Python/R ...

Collaborate with other teams including search and data engineering, web and marketing analysts, data analyst, project managers, system team and other contractors/consultants. Write code in Python/R ...

Showing results 21-40

Data Analysis Manager information

See High Point, NC salary details

$20.1K

$79.1K

$128.5K

How much do data analysis manager jobs pay per year?

As of Sep 7, 2026, the average yearly pay for data analysis manager in High Point, NC is $79,105.00, according to ZipRecruiter salary data. Most workers in this role earn between $58,900.00 and $96,800.00 per year, depending on experience, location, and employer.

What does a data analysis manager do?

A Data Analysis Manager oversees teams that collect, process, and interpret data to help organizations make informed business decisions. They are responsible for managing data projects, ensuring data quality, and translating complex data findings into actionable insights for stakeholders. Additionally, they often coordinate with other departments, set analytical strategies, and mentor data analysts. Their role is crucial for driving data-driven decision-making in a company.

What are the key skills and qualifications needed to thrive as a data analysis manager?

To thrive as a Data Analysis Manager, you need advanced analytical skills, a strong background in statistics or data science, and relevant experience often backed by a degree in mathematics, computer science, or a related field. Expertise in tools such as SQL, Python, R, and business intelligence platforms, along with proficiency in data visualization software like Tableau or Power BI, is typically required. Leadership, effective communication, and problem-solving abilities are crucial soft skills for managing teams and translating complex data insights into actionable business strategies. These skills and qualities are essential for driving data-informed decision-making and ensuring the success of analytics initiatives within an organization.

How does a data analysis manager typically collaborate with other departments within an organization?

A Data Analysis Manager regularly partners with teams such as marketing, finance, operations, and IT to identify data needs and translate business questions into actionable analysis. They facilitate communication between data analysts and stakeholders, ensuring that data insights are aligned with organizational goals. By leading cross-functional meetings and presenting findings to non-technical audiences, they help drive data-informed decision-making across the company. This collaborative approach not only enhances the impact of analytics but also fosters a culture of data literacy throughout the organization.

What is the difference between Data Analysis Manager vs Data Analyst?

AspectData Analysis ManagerData Analyst
ResponsibilitiesOversees data analysis projects, manages teams, develops strategiesPerforms data collection, cleaning, and analysis to support business decisions
Required SkillsLeadership, project management, advanced analyticsStatistical analysis, data visualization, technical skills
QualificationsBachelor's or master's in data science, statistics, or related field; experience in managementBachelor's in data science, statistics, or related field; technical proficiency
Work EnvironmentTypically in corporate offices, leading teamsOften in office or remote, focused on individual analysis tasks

The main difference between a Data Analysis Manager and a Data Analyst lies in scope and responsibilities. The manager oversees teams and strategic projects, while the analyst focuses on executing data analysis tasks. Both roles require strong analytical skills and relevant qualifications, but the manager's role emphasizes leadership and project management.

What are the most commonly searched types of Data Analysis jobs in High Point, NC?

The most popular types of Data Analysis jobs in High Point, NC are:

What are popular job titles related to Data Analysis Manager jobs in High Point, NC?

For Data Analysis Manager jobs in High Point, NC, the most frequently searched job titles are:

What job categories do people searching Data Analysis Manager jobs in High Point, NC look for?

The top searched job categories for Data Analysis Manager jobs in High Point, NC are:

What cities near High Point, NC are hiring for Data Analysis Manager jobs?

Cities near High Point, NC with the most Data Analysis Manager job openings:

Infographic showing various Data Analysis Manager job openings in High Point, NC as of August 2026, with employment types broken down into 83% Full Time, 16% Part Time, and 1% Contract. Highlights an 81% Physical, 2% Hybrid, and 17% Remote job distribution, with an average salary of $79,105 per year, or $38 per hour.

Summer 2027 Internship - RWE Data Scientist - Virtual

Stryker

Greensboro, NC • On-site

$35/hr

Other

Posted 5 days ago


Key responsibilities

  • Support the design and execution of observational studies using claims and other real-world data sources.

  • Assist in data extraction, cleaning, and analysis of structured and unstructured healthcare data, including applying NLP techniques.

  • Build and refine statistical models such as propensity matching and survival analysis under mentorship.


Stryker rating

8.2

Company rating: 8.2 out of 10

Based on 112 frontline employees who took The Breakroom Quiz

136th of 499 rated machine equipment manufacturers


Job description

What You Get Out of the Internship

At Stryker, we believe that developing the next generation of talent is just as important as developing life-changing medical technologies. As an intern, you won’t just observe — you’ll contribute to meaningful projects, gain exposure to leaders who will mentor you, and experience a culture of innovation and teamwork that is shaping the future of healthcare. As an intern, you will:

  • Apply classroom knowledge and gain experience in a fast-paced and growing industry setting
  • Implement new ideas, be constantly challenged, and develop your skills
  • Network with key/high-level stakeholders and leaders of the business
  • Be a part of an innovative team and culture
  • Experience documenting complex processes and presenting them in a clear format

Who We Want

Challengers. People who seek out the hard projects and work to find just the right solutions.

Teammates. Partners who listen to ideas, share thoughts and work together to move the business forward.

Charismatic networkers. Relationship-savvy people who intentionally make connections with both internal partners and external contacts.

Strategic thinkers. Interns who propose innovative ideas and consistently exceed their performance objectives.

Customer-oriented achievers. Individuals with an unparalleled work ethic and customer-focused attitude who bring value to their partnerships.

Game changers. Persistent interns who will stop at nothing to live out Stryker’s mission to make healthcare better.

Opportunities Available

As a Real-World Evidence Data Science intern at Stryker, you will:

  • Work cross functionally with different departments including Clinical Affairs, Health Economics & Outcomes Research (HEOR), Regulatory Affairs, and Marketing to support real-world evidence generation programs
  • Assist in the design and execution of observational studies using claims (e.g., Premier PINC AI, NIS) and other real-world data sources
  • Support data extraction, cleaning, and analysis of structured and unstructured healthcare data, including applying NLP techniques to unstructured billing/clinical data
  • Prepare literature review summaries and evidence syntheses to support publication and regulatory submission efforts
  • Build and refine statistical models (e.g., propensity matching, survival analysis) under the mentorship of the RWE Research team
  • Shadow cross-functional team meetings to gain exposure to how RWE informs regulatory, reimbursement, and commercial strategy

What You Need

Required:

  • Currently pursuing a Master’s degree in Biostatistics, Epidemiology, Health Services Research, Health Economics and Outcomes Research (HEOR), Health/Biomedical Informatics, Data Science, or a related quantitative field; must remain enrolled in a degree-seeking program after the internship
  • Cumulative 3.0 GPA or above (verified at time of hire)
  • Must be legally authorized to work in the U.S. and not require employment-based sponsorship now or in the future
  • Proficiency in SQL and at least one statistical/analytical programming language (Python or R)
  • Coursework or applied project experience with observational/real-world data (claims, EHR, or registry data)
  • Strong written and verbal communication skills, with proven ability to collaborate and build relationships
  • Demonstrated leadership, problem-solving, and organizational skills with the ability to manage multiple priorities
  • Proficiency in Microsoft Office (Excel, Word, PowerPoint) and eagerness to learn in a dynamic environment

Preferred:

  • Prior exposure to claims databases (Medicare, MarketScan, Premier PINC AI, Optum) or EHR data structures
  • Familiarity with causal inference methods (propensity score matching, instrumental variables) and/or survival analysis
  • Experience with NLP applied to unstructured healthcare text
  • Prior coursework, thesis, or practicum work in a medtech, pharma, or payer setting

$20 min hourly wage – $35 max hourly wage, sign-on bonus, 11 paid holidays annually, and either paid corporate housing or a living stipend, dependent upon hiring location

Stryker is a global leader in medical technologies and, together with its customers, is driven to make healthcare better. The company offers innovative products and services in MedSurg, Neurotechnology, Orthopaedics and Spine that help improve patient and healthcare outcomes. Alongside its customers around the world, Stryker impacts more than 150 million patients annually.


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