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Research Data Manager Jobs in Cold Spring, MN (NOW HIRING)

Data Analyst

Sartell, MN · On-site

$50K - $60K/yr

... management, and data quality oversight. This role develops and maintains performance reporting ... Research data integrity issues, troubleshoot discrepancies, and ensure the accuracy and reliability ...

... management, and data quality oversight. This role develops and maintains performance reporting ... Research data integrity issues, troubleshoot discrepancies, and ensure the accuracy and reliability ...

Data Analyst

Sartell, MN · On-site

$50K - $60K/yr

... management, and data quality oversight. This role develops and maintains performance reporting ... Research data integrity issues, troubleshoot discrepancies, and ensure the accuracy and reliability ...

UK Data Analyst

Sartell, MN · On-site

$45K - $55K/yr

This role supports UK inventory management through placement and recall processes, skip tracing ... Research data integrity issues, troubleshoot discrepancies, and ensure the accuracy and reliability ...

UK Data Analyst

Sartell, MN · On-site

$45K - $55K/yr

This role supports UK inventory management through placement and recall processes, skip tracing ... Research data integrity issues, troubleshoot discrepancies, and ensure the accuracy and reliability ...

Analyst

Saint Cloud, MN · On-site

$112K/yr

Each Cornerstone Research office has a Staffing & Development Manager, a dedicated professional who ... We prefer students who have completed at least one internship in business, economics, data analysis ...

Analyst

Saint Cloud, MN · On-site

$112K/yr

Each Cornerstone Research office has a Staffing & Development Manager, a dedicated professional who ... We prefer students who have completed at least one internship in business, economics, data analysis ...

As a Product Management Intern at Danaher, you'll join a collaborative team working across R&D, ... Strong analytical and problem-solving skills with the ability to interpret complex data

As a Product Management Intern at Danaher, you'll join a collaborative team working across R&D, ... Strong analytical and problem-solving skills with the ability to interpret complex data

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Showing results 1-20

Research Data Manager information

See Cold Spring, MN salary details

$30.2K

$94.6K

$167.5K

How much do research data manager jobs pay per year?

As of Sep 8, 2026, the average yearly pay for research data manager in Cold Spring, MN is $94,583.00, according to ZipRecruiter salary data. Most workers in this role earn between $64,300.00 and $122,200.00 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 Cold Spring, MN are hiring for Research Data Manager jobs?

Cities near Cold Spring, MN with the most Research Data Manager job openings:

Infographic showing various Research Data Manager job openings in Cold Spring, MN as of August 2026, with employment types broken down into 83% Full Time, 16% Part Time, and 1% Contract. Highlights an 81% Physical, 2% Hybrid, and 17% Remote job distribution, with an average salary of $94,583 per year, or $45.5 per hour.

$50K - $60K/yr

Full-time

Posted 28 days ago


Job description

JOB SUMMARY
The Data Analyst is responsible for supporting business operations through reporting, analytics, process management, and data quality oversight. This role develops and maintains performance reporting, executes recurring data processes, performs data validation and analysis, and partners with stakeholders to identify opportunities for improved efficiency and decision making. Success in this role requires strong analytical thinking, attention to detail, problem-solving ability, and a passion for leveraging data to drive business outcomes.
ROLES & RESPONSIBILITIES
  • Work with executives and other business leaders to identify opportunities for process improvement and data-driven decision making.
  • Complete recurring data processing activities, including file creation, validation, quality control reviews, report generation, and distribution.
  • Develop, maintain, and enhance performance reporting used by internal stakeholders to monitor key business metrics and trends.
  • Analyze large datasets to identify patterns, trends, anomalies, and opportunities for operational improvement.
  • Support analytical projects by gathering requirements, preparing data, conducting analysis, and communicating findings.
  • Define, document, and improve business processes that enhance the value and usability of internal and external data.
  • Collaborate with cross-functional teams to implement analytical solutions that improve efficiency, reporting, and business outcomes.
  • Validate process changes and business initiatives to measure effectiveness and quantify operational impact.
  • Research data integrity issues, troubleshoot discrepancies, and ensure the accuracy and reliability of reports and datasets.
  • Create and maintain process documentation, data definitions, validation procedures, and reporting methodologies.
REQUIREMENTS
  • Bachelor's degree in a quantitative field such as Mathematics, Statistics, Economics, Finance, Data Analytics, MIS, or Computer Science; equivalent experience will also be considered.
  • Proficiency in Excel; experience with SAS, SQL, or relational databases is highly desired.
  • Strong analytical, problem-solving, and critical-thinking skills.
  • Strong attention to detail, communication skills, and the ability to manage multiple priorities in a fast-paced environment.
  • Self-motivated and able to work independently while also contributing effectively within a team environment.