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Data Validation Jobs in Minnesota (NOW HIRING)

Collect RJG data and establish validated process windows. * Prepare and update PODs, FW redlines, and OQ/PQ documentation. * Define mold validation scope and validation approach. * Coordinate with ...

Collect RJG data and establish validated process windows. * Prepare and update PODs, FW redlines, and OQ/PQ documentation. * Define mold validation scope and validation approach. * Coordinate with ...

Capture and analyze RJG process data to establish validated process windows. * Prepare and update PODs, FW redlines, and OQ/PQ validation documentation . * Define mold validation scope, validation ...

Showing results 41-60

Data Validation information

See Minnesota salary details

$22

$50

$76

How much do data validation jobs pay per hour?

As of Aug 7, 2026, the average hourly pay for data validation in Minnesota is $50.93, according to ZipRecruiter salary data. Most workers in this role earn between $38.61 and $61.92 per hour, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive in data validation, and why are they important?

To thrive in Data Validation, a strong attention to detail, analytical thinking, and experience with data management or quality assurance processes are essential, often supported by a degree in information technology, statistics, or a related field. Familiarity with database software (such as SQL), spreadsheet tools (like Excel), and data validation or ETL (Extract, Transform, Load) systems, along with relevant certifications, is highly beneficial. Strong problem-solving skills, effective communication, and the ability to work both independently and collaboratively help individuals excel in this role. These skills ensure the accuracy and integrity of organizational data, supporting informed decision-making and operational efficiency.

What is a data validation?

A Data Validation job involves reviewing, cleaning, and verifying data to ensure accuracy, consistency, and reliability. Professionals in this role check for errors, inconsistencies, and missing information using automated tools and manual techniques. They work with databases, spreadsheets, and software applications to maintain data integrity, often collaborating with analysts and engineers. Their work is critical for making informed business decisions and maintaining regulatory compliance.

What does a data validation do?

A Data Validation professional typically spends their day reviewing large datasets, identifying inconsistencies or errors, and ensuring that all data meets established quality standards. This may involve developing and running automated scripts, maintaining data validation rules, and collaborating with data engineers or analysts to resolve data-related issues. The role often requires documenting validation processes and findings to support transparency and future audits. You can expect to work both independently and as part of a larger data or QA team, making your contributions vital to maintaining reliable business information.

What is the work of data validation?

Data validation is a key responsibility in data validation jobs, involving checking data for accuracy, completeness, and consistency to ensure it meets specified standards. It often requires attention to detail, knowledge of data quality tools, and understanding of data formats to prevent errors in data processing and analysis.
What are popular job titles related to Data Validation jobs in Minnesota? For Data Validation jobs in Minnesota, the most frequently searched job titles are:
What job categories do people searching Data Validation jobs in Minnesota look for? The top searched job categories for Data Validation jobs in Minnesota are:
Infographic showing various Data Validation job openings in Minnesota as of August 2026, with employment types broken down into 5% Internship, 71% Full Time, and 24% Contract. Highlights an 81% In-person, 5% Hybrid, and 14% Remote job distribution, with an average salary of $105,926 per year, or $50.9 per hour.

Entry Level Business Analyst/Data Analyst

National Software Management

Minneapolis, MN โ€ข On-site, Remote

Full-time

Re-posted 9 days ago


Job description

Company Description

National Software Managment an software Development company of USA is focused on developing a comprehensive workplace that utilizes the unique expertise and viewpoints of our worldwide staff. We appreciate the exclusive qualifications, expertise and ability of each worker and accept variations which include gender, kind, faith, incapability, nationality, age group, physical inclination, ethnic background and exclusive style. Being a multinational firm, we know, treasure and regard the distinctiveness of our staff and promote a collaborative work setting with equal potential for all staff members.

Job Description

Job Title: Entry-Level Business Analyst / Data Analyst

Location: United States (Remote / Hybrid options available)
Employment Type: Full-Time

About the Role

We are looking for motivated, detail-oriented individuals who are eager to launch or relaunch their careers in Business Analysis and Data Analysis. This opportunity is ideal for recent graduates, professionals returning to the workforce after a career break, or individuals looking to transition into analytics-driven roles.

You'll work closely with cross-functional teams to gather insights, analyze data, and support business decisions. No extensive prior experience is required-just a strong willingness to learn, adapt, and grow.

Work Authorization:
Applicants must be authorized to work in the U.S. We welcome candidates with:

Responsibilities

  • Gather, document, and analyze business requirements
  • Interpret data and generate actionable insights
  • Create reports, dashboards, and visualizations
  • Collaborate with stakeholders to improve processes
  • Assist in data validation, quality checks, and reporting
  • Translate business needs into functional specifications
Qualifications
  • Bachelor's degree (or equivalent experience)
  • Strong analytical and problem-solving skills
  • Basic knowledge of Excel, SQL, or data tools (training provided if needed)
  • Good communication and documentation skills
  • Eagerness to learn new tools and technologies
  • Candidates with career gaps looking to restart their careers
  • Professionals seeking hands-on experience in analytics
Additional Information

All your information will be kept confidential according to EEO guidelines.