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Remote Data Analyst Jobs in Ridgeland, 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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All JobsData Analyst JobsRemote Data Analyst JobsRemote Data Analyst Jobs in Ridgeland, MS

Remote Data Analyst information

See Ridgeland, MS salary details

$29.5K

$71.8K

$118.1K

How much do remote data analyst jobs pay per year?

As of Aug 26, 2026, the average yearly pay for remote data analyst in Ridgeland, MS is $71,766.00, according to ZipRecruiter salary data. Most workers in this role earn between $54,300.00 and $84,200.00 per year, depending on experience, location, and employer.

What does a remote data analyst do?

A Remote Data Analyst is responsible for collecting, processing, and analyzing data to help organizations make informed business decisions, all while working from a location outside of a traditional office. They use statistical tools and software to interpret complex datasets, identify trends, and generate reports. Remote Data Analysts collaborate with team members via digital communication platforms and often present their findings to stakeholders to guide strategy and operations. Their work is essential in industries such as finance, healthcare, marketing, and technology, where data-driven decisions are crucial.

What does a remote data analyst do?

Remote data analysts use a range of methods to chart, examine, and analyze data for their clients. Unlike in-house data analysts, remote data analysts, work from home or a different location outside of the office. As a remote data analyst, your job is to evaluate a company’s data using a combination of mathematical inspection, transformation, and modeling techniques to simplify and condense it. Once the analysis is complete, you create reports for management to use to make critical decisions; this is why remote data analysts need to confirm the accuracy of the data. You may also need to present your reports to stakeholders.

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

To thrive as a Remote Data Analyst, you need strong analytical skills, proficiency in statistics, and a degree in a quantitative field such as mathematics, statistics, or computer science. Familiarity with data analysis tools like SQL, Excel, Python or R, and visualization platforms such as Tableau or Power BI is typically required. Excellent communication, self-motivation, and time management are crucial soft skills for collaborating remotely and presenting insights effectively. These skills ensure accurate data-driven decision-making and effective remote teamwork in a digital work environment.

How do remote data analysts typically collaborate with team members and stakeholders given the virtual work environment?

Remote Data Analysts often rely on digital communication tools such as Slack, Microsoft Teams, and Zoom to stay connected with colleagues and stakeholders. They participate in regular virtual meetings, share dashboards or reports via cloud-based platforms, and provide data-driven insights to support decision-making. Successful remote analysts proactively communicate their findings, clarify requirements, and coordinate with cross-functional teams such as IT, marketing, or finance to ensure alignment on project goals and deliverables.

What is the difference between Remote Data Analyst vs Remote Data Scientist?

AspectRemote Data AnalystRemote Data Scientist
Required CredentialsBachelor's in Data, Statistics, or related field; often certifications in Excel, SQL, or TableauBachelor's or Master's in Data Science, Computer Science, or related; certifications in Python, R, machine learning
Work EnvironmentPrimarily office-based or remote, focusing on data analysis and reportingPrimarily remote, involving complex data modeling and predictive analytics
Employer & Industry UsageUsed across finance, marketing, healthcare, and retail sectorsCommon in tech, finance, and research industries

Remote Data Analysts focus on interpreting data, creating reports, and supporting decision-making, while Remote Data Scientists develop models, perform advanced analytics, and work on predictive insights. Both roles require strong analytical skills, but Data Scientists typically have more technical expertise in programming and machine learning.

Are remote data analyst jobs still in demand?

Remote data analyst jobs remain in high demand due to the increasing reliance on data-driven decision making across industries. Skills in data visualization, SQL, and statistical analysis are particularly valuable, and many companies continue to expand their remote analytics teams to access a broader talent pool.

Can I get remote jobs as a remote data analyst?

Remote data analyst positions are widely available and often require skills in data analysis tools like Excel, SQL, and Python. Many companies offer remote roles with flexible schedules, and candidates typically need a strong analytical background and good communication skills.

Can you work remotely as a remote data analyst?

Remote data analysts can often work from home or other locations, depending on the employer’s policies. Many companies offer remote positions that require skills in data analysis tools like Excel, SQL, or Python, and a reliable internet connection. Availability of remote work varies by organization and role requirements.
More about Remote Data Analyst jobs

What are the most commonly searched types of Data Analyst jobs in Ridgeland, MS?

The most popular types of Data Analyst jobs in Ridgeland, MS are:

What are popular job titles related to Remote Data Analyst jobs in Ridgeland, MS?

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

What cities near Ridgeland, MS are hiring for Remote Data Analyst jobs?

Cities near Ridgeland, MS with the most Remote Data Analyst job openings:

Remote Data Analyst jobs near you
Infographic showing various Remote Data Analyst job openings in Ridgeland, MS as of August 2026, with employment types broken down into 1% As Needed, 83% Full Time, 14% Part Time, and 2% Contract. Highlights an 84% Physical, 4% Hybrid, and 12% Remote job distribution, with an average salary of $68,854 per year, or $33.1 per hour.

Lead Data Specialist with Child Welfare systems experience

Jackson, MS • Remote

Software People, Inc.
IT Services • 1 - 10 employees
Learn more about Software People, Inc.external

Contractor

Re-posted 23 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.