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Remote Social Work Data Analyst Jobs in Jackson, MS

... work. With convenient access to specialists nationwide, Lantern means quality care is within ... This is a remote-first role with occasional (~1x month) travel. Responsibilities and Duties:

Open to remote work. In this role, you will conduct conflict searches using internal systems and ... Enter, review, analyze, and maintain conflict and new matter data in accordance with firm policies ...

You will assist with sales data analysis, contract renewal engagement, revenue retention support ... Ability to work independently and take initiative * Attention to detail and follow-through are ...

DemandFactor is a data-driven B2B growth and demand-generation company helping brands find, engage ... Manage marketing KPIs, analytics, attribution, and budget * Build and grow the marketing team What ...

Showing results 21-40

Remote Social Work Data Analyst information

See Jackson, MS salary details

$29.6K

$72K

$118.5K

How much do remote social work data analyst jobs pay per year?

As of Sep 4, 2026, the average yearly pay for remote social work data analyst in Jackson, MS is $72,015.00, according to ZipRecruiter salary data. Most workers in this role earn between $54,500.00 and $84,500.00 per year, depending on experience, location, and employer.

What is a remote social work data analyst?

A Remote Social Work Data Analyst is a professional who collects, analyzes, and interprets data related to social work programs and services, while working from a remote location. They use statistical tools and software to evaluate the effectiveness of social programs, identify trends, and help organizations make data-driven decisions to improve outcomes for clients. Their work supports social workers and agencies in measuring the impact of interventions and in securing funding or resources. Remote data analysts collaborate with teams via digital platforms and must ensure data confidentiality and ethical standards are maintained.

What are the key skills and qualifications needed to thrive as a remote social work data analyst?

A Remote Social Work Data Analyst requires strong analytical skills, knowledge of social work principles, and a relevant degree such as social work, statistics, or data science. Familiarity with data analysis tools like Excel, SPSS, or Tableau and experience with case management or social services databases are typically expected. Attention to detail, effective communication, and the ability to work independently are standout soft skills for this role. These competencies are essential to accurately interpret data, inform better decision-making, and support impactful social work interventions from a remote setting.

What are some typical challenges faced by remote social work data analysts and how can they be addressed?

Remote Social Work Data Analysts often face challenges such as coordinating with multidisciplinary teams across different locations, ensuring data privacy and security, and interpreting complex social work datasets accurately. To address these, it’s important to establish clear communication channels, stay updated on data compliance regulations, and regularly participate in virtual team meetings. Utilizing collaborative data platforms and project management tools can also enhance workflow efficiency and foster team cohesion, even when working remotely.

What is the difference between Remote Social Work Data Analyst vs Remote Social Worker?

AspectRemote Social Work Data AnalystRemote Social Worker
Required CredentialsBachelor's or Master's in Social Work, Data Analysis certificationsBachelor's or Master's in Social Work, State licensure
Work EnvironmentData-focused, analytical tasks, remote settingsClient interaction, counseling, case management, remote or in-person
Employer & IndustryHealthcare, government, research organizationsNonprofits, healthcare, government agencies
Search & Comparison IntentUnderstanding data analysis roles in social workProviding direct client support and services

The main difference is that Remote Social Work Data Analysts focus on analyzing social work data to inform decisions, while Remote Social Workers provide direct client services. Both roles may be remote but serve different functions within the social services industry.

What are popular job titles related to Remote Social Work Data Analyst jobs in Jackson, MS?

For Remote Social Work Data Analyst jobs in Jackson, MS, the most frequently searched job titles are:

What job categories do people searching Remote Social Work Data Analyst jobs in Jackson, MS look for?

The top searched job categories for Remote Social Work Data Analyst jobs in Jackson, MS are:

What cities near Jackson, MS are hiring for Remote Social Work Data Analyst jobs?

Cities near Jackson, MS with the most Remote Social Work Data Analyst job openings:

Infographic showing various Remote Social Work Data Analyst job openings in Jackson, MS as of August 2026, with employment types broken down into 96% Full Time, and 4% Contract. Highlights an 100% Remote job distribution, with an average salary of $72,015 per year, or $34.6 per hour.

Summer 2027 Internship - RWE Data Scientist - Virtual

Stryker

Jackson, MS • On-site, Remote

$35/hr

Temporary, Internship

Posted 2 days ago

New


Stryker rating

8.2

Company rating: 8.2 out of 10

Based on 112 frontline employees who took The Breakroom Quiz

133rd of 496 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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