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Research Data Manager Jobs in Villa Rica, GA (NOW HIRING)

Kaizen Analytix, LLC.

VP of Data Science

Atlanta, GA · On-site

$140 - $180/hr

Ph.D. in Operations Research, Data Science, Business Analytics, Industrial Engineering ... Through understanding of Agile project management methodology. * Ability to travel as dictated by ...

Kaizen Analytix LLC

VP of Data Science

Atlanta, GA · On-site

Ph.D. in Operations Research, Data Science, Business Analytics, Industrial Engineering ... Through understanding of Agile project management methodology * Ability to travel as dictated by ...

Dolby

Sr. Data Researcher Engineer

Atlanta, GA · On-site

Research in the areas of data platforms, data science and analytics at Dolby Laboratories focuses ... Investigate heterogenous data management techniques and polystore systems, including the ...

Omnicell, Inc.

Data Governance Manager

Atlanta, GA · On-site

$97 - $179/hr

... and research. This role turns governance requirements into practical, adoptable processes and ... What You'll Do (Key Responsibilities) As a Manager, Data Governance, you will: * Primary Impact ...

Yamaha

Market Research Manager

Kennesaw, GA · On-site

This role performs professional-level market research and data analysis to develop insights ... The position independently manages defined research activities and recurring reporting processes ...

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Showing results 21-40

All JobsResearch Data JobsResearch Data Manager JobsResearch Data Manager Jobs in Villa Rica, GA

Research Data Manager information

See Villa Rica, GA salary details

$27.1K

$84.8K

$150.1K

How much do research data manager jobs pay per year?

As of Aug 22, 2026, the average yearly pay for research data manager in Villa Rica, GA is $84,794.00, according to ZipRecruiter salary data. Most workers in this role earn between $57,600.00 and $109,500.00 per year, depending on experience, location, and employer.

What is a research data manager?

Research Data Managers are professionals responsible for overseeing the collection, organization, storage, and sharing of research data throughout the lifecycle of a research project. They ensure data integrity, security, and compliance with relevant legal, ethical, and institutional requirements. Their work enables researchers to manage data efficiently, promote data sharing, and support reproducibility and transparency in research.

What are the key skills and qualifications needed to thrive as a research data manager?

To thrive as a Research Data Manager, you need expertise in data management, database design, and knowledge of regulatory compliance, often supported by a degree in information science or a related field. Familiarity with data management systems (such as REDCap or SQL databases), data security protocols, and relevant certifications like Certified Research Data Manager (CRDM) is typically required. Strong organizational skills, attention to detail, and effective communication are vital soft skills for coordinating with research teams and ensuring data integrity. These abilities ensure that research data is accurate, secure, and accessible, supporting the success and credibility of scientific projects.

What are some common challenges faced by research data managers, and how can they be addressed in day-to-day work?

Research Data Managers often encounter challenges such as ensuring data integrity, managing large volumes of diverse data, and complying with data privacy regulations. To address these issues, they implement robust data management plans, maintain clear documentation, and regularly conduct data audits. Effective collaboration with researchers and IT staff is also essential to streamline workflows and troubleshoot data-related issues, ensuring the research process remains efficient and compliant.

What is the difference between Research Data Manager vs Data Analyst?

AspectResearch Data ManagerData Analyst
Required CredentialsBachelor's or Master's in Data Science, Information Management, or related fieldsBachelor's or Master's in Statistics, Data Science, or related fields
Work EnvironmentResearch institutions, universities, clinical trials, or research labsBusiness, finance, marketing, or healthcare organizations
Employer & Industry UsagePrimarily in research settings managing data collection, storage, and complianceAnalyzing data to inform business decisions across various industries

Research Data Managers focus on organizing, maintaining, and ensuring the integrity of research data within academic or clinical research environments. Data Analysts interpret and analyze data to generate insights for business or research purposes. While both roles require strong data skills, Research Data Managers emphasize data management and compliance, whereas Data Analysts focus on data interpretation and reporting.

What cities near Villa Rica, GA are hiring for Research Data Manager jobs?

Cities near Villa Rica, GA with the most Research Data Manager job openings:

Research Data Manager jobs near you
Infographic showing various Research Data Manager job openings in Villa Rica, GA as of August 2026, with employment types broken down into 82% Full Time, 17% Part Time, and 1% Contract. Highlights an 81% Physical, 2% Hybrid, and 17% Remote job distribution, with an average salary of $84,794 per year, or $40.8 per hour.

Data Scientist, Global Quantitative Research

Intercontinental Exchange Holdings, Inc.

Atlanta, GA • On-site

$95 - $130/hr

Other

Posted 23 days ago

Job description

Overview

Job Purpose

The Data Scientist will join the Quant Group which designs, implements, and supports enterprise quantitative models and systems. The primary role of this position will be to support the design and development of financial data models and provide data support for the Quant and Risk divisions. The role will use a variety of data science, analytics and engineering tools and techniques to solve diverse, data focused problems across the business. The candidate for this job must have the ability to work in a fast-paced environment, formulate and articulate solutions, defend assumptions and be highly detail oriented. This role requires frequent interaction with Quant Research, Risk Managers, Developers and Senior Management.

Responsibilities

  • Perform data exploration and statistical analysis for quantitative research purposes
  • Data preparation, validation, and visualization of various data sets such as time series of financial derivatives
  • Build production quality, data driven software solutions to support data management and analysis
  • Develop ETL applications to support core quant and risk team data requirements
  • Diagnose and profile data issues and recommend ways to improve data reliability, efficiency, and quality
  • Coordinate with quantitative research and business experts to develop and refine data management best practices, policies, and procedures
  • Provide documentations and/or presentations to illustrate methods, techniques, and findings for individuals with diverse professional backgrounds
  • Manage large data sets and interpret diverse database architecture across various platforms such as Oracle, Postgres, Snowflake, etc.
  • Serve as a liaison between technology, operations, product management and the Financial Engineering teams
  • Engage in innovative research tasks in the quantitative finance and data science field

Knowledge and Experience

  • Master's degree in Data Science, Engineering, Mathematics, Statistics or similar field
  • Statistical programming experience required, with strong preference for Python. Experience with R, MATLAB, C/C++ or Java is also valued
  • Working knowledge of SQL and experience working with relational databases preferred
  • Ability to work in a high-performance, high-velocity environment
  • Strong analytical and organizational skills with acute attention to detail
  • Strong communication skills
  • Customer focused and results oriented
  • Advanced Statistics knowledge related to Time Series preferred
  • Experience with code versioning tools such as Git preferred
  • Experience in Quantitative Finance and/or Financial Derivatives

Intercontinental Exchange, Inc. is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to legally protected characteristics.

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