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Remote Health Data Analyst Jobs in Jackson, MS (NOW HIRING)

Noblesoft Technologies

SME Azure Data Engineer

Jackson, MS · Remote

$117K - $140K/yr

Jackson, MS 39211 - Remote Duration: 5 years Bachelor's degree required Position Description: Design, build, and maintain Azure-based data pipelines using Synapse Analytics to support MSIS and ...

TSMG

AI/ML Data Contributor

Jackson, MS · Remote

Participate in remote assignments or attend on-site sessions when required * Follow project ... reviewing applications, analyzing resumes, or assessing responses and identifying potential ...

TSMG

AI/ML Data Contributor

Jackson, MS · Remote

Participate in remote assignments or attend on-site sessions when required * Follow project ... reviewing applications, analyzing resumes, or assessing responses and identifying potential ...

DataAnnotation

Treasury Analyst - AI Trainer

Jackson, MS · Remote

$50 - $100/hr

Enjoy the flexibility of remote work and the freedom to set your own schedule. This is an ... Proficient in financial analysis, financial modeling, data analysis, and other reasoning exercises ...

micro1 AI

Cheminformatics Specialist - Remote

Jackson, MS · On-site +1

$90 - $120/hr

Analyze and annotate complex biological data sets, focusing on applications relevant to medicinal chemistry. * Provide feedback and domain-specific insights to improve AI models in computational ...

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Remote Health Data Analyst information

See Jackson, MS salary details

$29.6K

$72K

$118.5K

How much do remote health data analyst jobs pay per year?

As of Aug 22, 2026, the average yearly pay for remote health 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 health data analyst?

A Remote Health Data Analyst is a professional who works primarily from a remote location to collect, process, and analyze healthcare data. They use statistical tools and software to interpret data from medical records, insurance claims, patient surveys, and other health information sources. Their insights help healthcare organizations improve patient care, optimize operations, and ensure regulatory compliance. Remote Health Data Analysts often collaborate with medical staff, IT teams, and administrators using digital communication tools. This role requires strong analytical skills, attention to detail, and proficiency in data management systems.

What does a remote health data analyst do?

The job duties of a remote health data analyst include performing analysis on datasets related to the healthcare industry. In this career, you may work from home to gather relevant data from different sources, such as medical records, operational logs, and billing databases. The responsibilities of a health data analyst include using data to define healthcare trends, seek out areas for cost reduction, and analyze the cost and effectiveness of treatments. As a telecommute worker, you send reports to healthcare management personnel electronically, and you may have to communicate with them to answer questions after report submission.

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

To thrive as a Remote Health Data Analyst, you need strong analytical skills, knowledge of healthcare data standards, and at least a bachelor's degree in health informatics, statistics, or a related field. Proficiency with data analysis tools such as SQL, Python, R, and experience with electronic health record (EHR) systems and data visualization platforms like Tableau or Power BI are typically required. Attention to detail, problem-solving abilities, and effective communication are vital soft skills for interpreting data and collaborating remotely with teams. These skills ensure accurate data insights, enable informed decision-making, and support the delivery of efficient healthcare services from a remote environment.

How does a remote health data analyst typically collaborate with healthcare teams while working offsite?

Remote Health Data Analysts frequently collaborate with clinicians, IT professionals, and data scientists through digital communication tools such as video conferencing, secure messaging, and shared data platforms. Regular virtual meetings are common to discuss project progress, clarify data requirements, and ensure alignment on healthcare outcomes. While working remotely offers flexibility, it also requires proactive communication and strong organizational skills to manage multiple projects and maintain data security standards. Building trust and maintaining clear documentation are essential for effective remote teamwork in this role.
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Remote Health Data Analyst jobs near you
Infographic showing various Remote Health Data Analyst job openings in Jackson, MS as of August 2026, with employment types broken down into 2% As Needed, 74% Full Time, 19% Part Time, and 5% Contract. Highlights an 93% Physical, 1% Hybrid, and 6% Remote job distribution, with an average salary of $72,015 per year, or $34.6 per hour.

Lead Data Specialist with Child Welfare systems experience

Software People, Inc.

Jackson, MS • Remote

Contractor

Re-posted 19 days ago

Job description

Phone/Skype Hire. Remote

Location: Remote

Duration: 12+ months

Seeks an experienced professional to participate in planning and execution of data cleansing and data migration initiatives and concurrently participate in development of data models, data stack architecture, technical implementation and other critical functions of data management that will enable evidence-based Child Welfare Practice.

The near-term scope of this team and this position includes participating in data related migration and design activities on the replacement of legacy case management system with the new CCWIS Cloud-Based hosted solution, and additional to that, planning and implementation of cloud-based data stack to enable robust and actionable analytics capabilities. This individual will be reporting to the lead architect on DMT.

Responsibilities

  • Support and participation in the Identification and management of data-related issues/risks and gaps
  • Understanding, conceiving, and documenting source and target-state data architectures for applications and cloud-based data analytic platforms
  • Data Pipeline Design and Implementation
  • Development of subject matter expertise in business drivers, business semantic meaning and business practice when
  • providing data management services.
  • Design and Development of ETL architecture and technical work packages
  • Deliver on measurable improvements of data quality metrics
  • Entity Relationship Diagramming, Business Vocabulary, Data Dictionary, Multi-Dimensional Models, Semantic Models
  • Data mapping specifications for migration from a large legacy database to a new case management application, entity
  • relationship diagrams, database schema, data dictionary, transformation lineage, business vocabulary/semantic models.
  • Data Set Catalogue Planning and Implementation.
  • Provisioning and managing metadata in the data stack
  • Identifying business rules for complex business metrics and coding calculations for those metrics.
  • Semantic model design and development with time series, hierarchical/drill down views for child welfare metrics

Skills Needed

  • Eight (8) years of experience with Multidimensional Model Database Design, ETL design, and development.
  • Eight (8) years of experience with data quality and master data management integration.
  • Eight (8) years of experience with ERD's, business vocabulary, data dictionary and database schema mapping.
  • Eight (8) years of data analytic implementation projects.
  • Three (3) years of experience with cloud-based data stack tool and platforms.
  • Experience in Child Welfare data modeling, case management and analytics.
  • Experience with data quality and data exchange components of federal requirements for Child Welfare management systems.
  • Prior CCWIS experience.
  • Ability to communicate effectively.
  • Ability to build a positive, productive rapport with team members.