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Data Analyst Intern Remote Jobs in Atlanta, GA (NOW HIRING)

Reserv, Inc.

Sr. Data Analyst

Atlanta, GA · On-site +1

$82K - $104K/yr

For this role, we are seeking data analysts with strong Python and SQL skills, a curiosity for how claims work and how our systems work them, the ability to communicate with technical and non ...

Team Velocity

Marketing Data Analyst II

Atlanta, GA · Remote

$83K - $103K/yr

This is a full-time, salaried, remote position. Employee must be located within the Continental U.S ... and data collection issues * Conduct ad hoc analyses and deep dives to support product and ...

New

KPI Solutions

Supply Chain Data Analyst

Atlanta, GA · On-site +1

Data Engineering * Applied AI & Analytics * Supply Chain Automation * Solution Design You will work closely with solution architects, engineering teams, and business stakeholders to transform RFPs ...

Reserv, Inc.

Sr. Data Analyst - Transport

Atlanta, GA · On-site +1

$82K - $104K/yr

For this role, we are seeking data analysts with strong Python, SQL, and Excel skills. You should be curious about how claims work and how our systems process them. You'll also need the ability to ...

JLL

Data Analytics, Technical Director

Atlanta, GA · Remote

This is a remote position with up to 25% domestic travel. This role leads team management and ... The Data Analytics Team Lead will be responsible for the oversight of the Data Analytics team and ...

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Data Analyst Intern Remote information

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How much do data analyst intern remote jobs pay per hour?

As of Sep 7, 2026, the average hourly pay for data analyst intern remote in Atlanta, GA is $21.64, according to ZipRecruiter salary data. Most workers in this role earn between $16.63 and $23.56 per hour, depending on experience, location, and employer.

What does a data analyst intern do?

A Data Analyst Intern working remotely is responsible for assisting in the collection, cleaning, and analysis of data to help organizations make informed decisions. They often work with tools like Excel, SQL, or Python to organize data, generate reports, and visualize trends. Remote interns collaborate with teams through online platforms, attend virtual meetings, and may present findings to supervisors. The role is ideal for building practical experience in data analytics while working from any location.

What skills and qualifications are needed to be a data analyst intern?

To thrive as a Data Analyst Intern (Remote), you generally need a strong foundation in statistics, data interpretation, and proficiency with spreadsheet and database tools, often supported by coursework in data analysis or related fields. Familiarity with technical tools such as Microsoft Excel, SQL, and data visualization platforms like Tableau or Power BI is typically expected. Attention to detail, problem-solving abilities, and clear communication skills are crucial soft skills for collaborating remotely and presenting findings. These capabilities enable interns to extract meaningful insights from data and contribute effectively to team objectives in a virtual environment.

What challenges do data analyst interns face when working remotely, and how can they overcome them?

Data Analyst Interns working remotely often face challenges such as limited access to immediate team support, managing their time effectively, and ensuring data security. To overcome these, it's important to establish regular check-ins with team members, use collaboration tools like Slack or Microsoft Teams, and follow best practices for handling sensitive data. Proactively communicating progress and asking questions helps interns stay engaged and ensures they receive the guidance needed to succeed in their projects.

What is the difference between Data Analyst Intern Remote vs Data Analyst Intern On-site?

AspectData Analyst Intern RemoteData Analyst Intern On-site
Work EnvironmentRemote, virtual work setupOn-site, in-office setting
Required CredentialsTypically pursuing or completed a related degree; basic data skillsSimilar credentials; focus on data analysis skills
Employer & Industry UsageUsed across industries with remote work policiesTraditional in-office roles in various industries
Search & Comparison IntentPeople comparing remote vs on-site internships in data analysisPeople seeking in-person internship opportunities

The main difference between Data Analyst Intern Remote and Data Analyst Intern On-site lies in the work environment. Remote internships allow for virtual work, offering flexibility and the ability to work from anywhere, while on-site internships require physical presence at the company's location. Both roles typically require similar educational backgrounds and data skills, but the choice depends on your preference for remote work versus in-person experience.

What cities near Atlanta, GA are hiring for Data Analyst Intern Remote jobs?

Cities near Atlanta, GA with the most Data Analyst Intern Remote job openings:

Infographic showing various Data Analyst Intern Remote job openings in Atlanta, GA as of August 2026, with employment types broken down into 1% As Needed, 84% Full Time, 11% Part Time, and 4% Contract. Highlights an 86% Physical, 4% Hybrid, and 10% Remote job distribution, with an average salary of $45,014 per year, or $21.6 per hour.

Senior Healthcare Data Analyst

Imagine Staffing Technology

Atlanta, GA • Remote

$150K - $160K/yr

Full-time

Re-posted 21 days ago

Key responsibilities

  • Analyze large-scale healthcare datasets to identify trends, risks, opportunities, and performance drivers

  • Design, develop, and operationalize predictive analytics solutions and build statistical models for healthcare risks and opportunities

  • Write advanced SQL queries and utilize analytical tools to extract, transform, and analyze healthcare data

Job description

Job Title: Senior Medical Economics Analyst
Location: Remote (Atlanta, GA preferred)
Hire Type: Direct Hire
Pay Range: $150,000 - $160,000 Base Salary + 10% Bonus + Equity Participation
Work Model: Remote Preferred | Atlanta-Based Candidates Preferred
Schedule: Monday – Friday, Standard Business Hours
Recruiter Contact: Samantha Marranca | 716-256-1271 | smarranca@imaginestaffing.net
 
Nature & Scope:
Positional Overview
Our client is seeking a highly analytical and business-minded Senior Medical Economics Analyst to support the continued evolution of its healthcare analytics and predictive insights capabilities.
This is a newly created position reporting into senior leadership and will play a critical role in helping the organization transition from retrospective healthcare reporting toward forward-looking predictive analytics and strategic healthcare insights. The successful candidate will leverage healthcare economics expertise, advanced analytics, statistical methodologies, and consultative problem-solving to support executive leadership, client-facing teams, provider organizations, and value-based healthcare initiatives.
 
The ideal candidate will possess deep experience working with healthcare claims and population health data, demonstrate strong predictive modeling capabilities, and have the ability to transform complex healthcare data into actionable business recommendations.
 
This role offers the opportunity to directly influence organizational strategy, support executive decision-making, and contribute to innovative healthcare solutions focused on improving patient outcomes while reducing healthcare costs.
 
Role & Responsibility:
Tasks That Will Lead To Your Success
  • Analyze large-scale healthcare datasets to identify trends, risks, opportunities, and performance drivers 
  • Evaluate provider performance, utilization patterns, referral behaviors, quality outcomes, and healthcare costs 
  • Conduct healthcare economics analyses including: 
    • PMPM (Per Member Per Month) analysis 
    • Utilization trend analysis 
    • Cost decomposition analysis 
    • Medical cost economics evaluations 
    • Quality and performance measurement 
  • Perform risk-adjusted financial and utilization analyses across Commercial, Medicare Advantage, and Medicaid populations 
  • Analyze longitudinal healthcare performance across multiple reporting periods 
Predictive Analytics & Statistical Modeling
  • Design, develop, and operationalize predictive analytics solutions 
  • Build and maintain statistical models to identify future healthcare risks and opportunities 
  • Develop probability-based models supporting: 
    • Population health initiatives 
    • Patient risk stratification 
    • Utilization forecasting 
    • Cost prediction 
    • Quality outcome measurement 
  • Apply methodologies such as: 
    • Logistic regression 
    • Risk adjustment 
    • Difference-in-differences analysis 
    • Credibility weighting 
    • Benchmarking methodologies 
    • Performance normalization techniques 
  • Support the organization's transition toward proactive, forward-looking healthcare insights 
Data Management & Technical Analysis
  • Write advanced SQL queries to extract, transform, and analyze healthcare data 
  • Create episode-level, provider-level, and member-level datasets 
  • Leverage healthcare claims, enrollment, provider, and risk-adjustment data sources 
  • Utilize SQL, Tableau, Excel, and Python to develop analytical solutions 
  • Normalize healthcare data to account for demographic, reimbursement, geographic, and population changes 
  • Ensure analytical methodologies produce accurate, meaningful, and actionable results 
Strategic Consulting & Business Partnership
  • Partner with executive leadership, client success teams, sales leadership, providers, and customers to address complex business questions 
  • Translate analytical findings into clear business recommendations 
  • Serve as a consultative resource by identifying additional insights beyond the original request 
  • Present findings to technical and non-technical audiences 
  • Help stakeholders understand both the "what" and the "why" behind healthcare performance trends 
  • Recommend strategic actions based on analytical findings 
Value-Based Care & Program Evaluation
  • Support evaluation and optimization of value-based care programs 
  • Analyze episode-of-care performance and specialty care utilization 
  • Assist with pricing validation and reconciliation methodologies 
  • Support network optimization and care management initiatives 
  • Evaluate financial and quality outcomes across multiple healthcare populations 
  • Develop frameworks supporting value-based pricing and performance measurement
 
Skills & Experience
Qualifications That Will Help You Thrive
Required Experience
  • Bachelor’s Degree in Healthcare Analytics, Statistics, Mathematics, Economics, Actuarial Science, Data Science, Computer Science, Public Health, or related STEM discipline 
  • 5+ years of healthcare analytics, medical economics, population health, healthcare consulting, payer, or health plan experience