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Remote Data Management Jobs in Cumming, GA (NOW HIRING)

Annotate data, interpret findings, and perform fact-checking to ensure high-quality content ... management consulting, corporate strategy, business transformation, or operations. * Experience ...

Data Engineer - GCP

Atlanta, GA · Remote

$117K - $140K/yr

Manage data lifecycle policies and archiving processes. Data Transformation and Processing ... Flexible work environment and remote work options. Join us and be part of a team building ...

Data Engineer - GCP

Atlanta, GA · On-site +1

$110K - $132K/yr

Manage data lifecycle policies and archiving processes. Data Transformation and Processing ... Flexible work environment and remote work options. Join us and be part of a team building ...

Data Engineer (Fully Remote)

Atlanta, GA · Remote

$150K - $165K/yr

The role combines building new pipelines and data models with providing real coverage on critical ... Airbyte management: Configuring or troubleshooting Airbyte connections wherever managed sync is the ...

Data Engineer (Fully Remote)

Atlanta, GA · Remote

$150K - $165K/yr

The role combines building new pipelines and data models with providing real coverage on critical ... Airbyte management: Configuring or troubleshooting Airbyte connections wherever managed sync is the ...

Power BI Publisher

Atlanta, GA · Remote

$49.25 - $67.25/hr

Atlanta, GA 30308 - Remote Duration: Long Term Local candidates preferred but 100% remote is ... Knowledge of current and emerging data management and analytics technologies. * Ability to handle ...

Be Seen First

... data management and reporting. 10. Be capable of working independently, managing tasks, and meeting deadlines with minimal supervision. Company Description MD1, Inc. has over nine years of experience ...

Data Engineer (Fully Remote)

Atlanta, GA · On-site +1

$150K - $165K/yr

The role combines building new pipelines and data models with providing real coverage on critical ... Airbyte management: Configuring or troubleshooting Airbyte connections wherever managed sync is the ...

Data Architect

Atlanta, GA · On-site +1

$61.25 - $78.75/hr

These platforms manage massive collections of economic time-series data, historical revisions ... No * Current remote employees will not be guaranteed to keep their remote status with their ...

Showing results 21-40

Remote Data Management information

What is remote data management?

Remote Data Management refers to the practice of organizing, storing, securing, and analyzing data from a location outside of an organization's physical premises. Professionals in this field use cloud-based tools and remote access software to manage databases, ensure data integrity, and facilitate data sharing among distributed teams. This approach enables businesses to maintain their data infrastructure efficiently while supporting remote work and global collaboration. It also involves implementing protocols to ensure data security and compliance with relevant regulations.

What are remote jobs in data management?

Various types of remote data management jobs are available in healthcare and insurance, with titles like clinical data manager, analyst, and auditor. In these jobs, you manage a database and provide analysis of information related to clinical trials, medical payments, operational activities, and more. Your duties and responsibilities include generating reports, database administration, and providing support for coworkers throughout your organization, but your responsibilities can vary based on what kinds of data you store. Additionally, you work with your company’s leadership to address issues affecting the availability and use of data and proactively suggest strategies for improving efficiency and accuracy. In some roles, you also participate in project planning, resource allocation, and budgeting.

What are the key skills and qualifications needed to thrive in remote data management?

To thrive in Remote Data Management, you need strong analytical skills, attention to detail, and a solid understanding of database concepts, often supported by a degree in information systems or a related field. Proficiency with data management tools such as SQL, Microsoft Excel, and cloud-based platforms like AWS or Google Cloud, as well as knowledge of data privacy regulations, is typically required. Excellent communication, self-motivation, and time management are important soft skills for collaborating with distributed teams and managing tasks independently. These skills ensure accurate, secure, and efficient handling of data assets while maintaining productivity and compliance in a remote work environment.

What are some common challenges faced in remote data management, and how can they be addressed?

One common challenge in remote data management is ensuring data security and integrity while working outside a traditional office environment. Remote team members must follow strict protocols for data access and regularly update security measures to protect sensitive information. Additionally, effective communication and collaboration with cross-functional teams can be more difficult remotely, so utilizing project management and communication tools is vital. Establishing clear workflows and regular check-ins helps maintain data consistency and team alignment.

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

AspectRemote Data ManagementData Analyst
CredentialsTypically requires a degree in IT, Computer Science, or related fields; certifications like Microsoft Certified Data Analyst or AWS Data AnalyticsRequires a degree in Statistics, Mathematics, or related fields; certifications like Microsoft Certified Data Analyst Associate or Tableau Desktop Specialist
Work EnvironmentPrimarily remote, working with databases, data warehouses, and cloud platformsRemote or on-site, analyzing data sets, creating reports, and visualizations
Industry UsageUsed across IT, finance, healthcare, and e-commerce sectorsCommon in finance, marketing, healthcare, and consulting industries

Remote Data Management and Data Analysts share overlapping skills in data handling and analytics, but differ mainly in focus. Remote Data Management emphasizes database administration and cloud platforms, while Data Analysts focus on interpreting data and creating insights. Both roles are vital in data-driven organizations and often collaborate to optimize data use.

What are the most commonly searched types of Data Management jobs in Cumming, GA?

The most popular types of Data Management jobs in Cumming, GA are:

What are popular job titles related to Remote Data Management jobs in Cumming, GA?

For Remote Data Management jobs in Cumming, GA, the most frequently searched job titles are:

What job categories do people searching Remote Data Management jobs in Cumming, GA look for?

The top searched job categories for Remote Data Management jobs in Cumming, GA are:

What cities near Cumming, GA are hiring for Remote Data Management jobs?

Cities near Cumming, GA with the most Remote Data Management job openings:

Infographic showing various Remote Data Management job openings in Cumming, GA as of August 2026, with employment types broken down into 83% Full Time, 11% Part Time, and 6% Contract. Highlights an 100% Remote job distribution.

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