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Data Quality Analyst Jobs in Minnesota (NOW HIRING)

Are you passionate about improving data quality and readiness to unlock the full potential of AI ... The AI Data Analyst partners with data engineering, AI, and governance teams to assess data ...

Senior Data Analyst

Chanhassen, MN

$87K - $110K/yr

The Senior Data Analyst is responsible for the operational integrity of IWCO Direct's reporting ... Triage and resolve data quality issues, report failures, and performance problems across the ...

Senior Data Analyst

Chanhassen, MN · On-site

$100K - $125K/yr

The Senior Data Analyst is responsible for the operational integrity of IWCO Direct's reporting ... Triage and resolve data quality issues, report failures, and performance problems across the ...

Senior Data Analyst

Chanhassen, MN · On-site

$87K - $110K/yr

The Senior Data Analyst is responsible for the operational integrity of IWCO Direct's reporting ... Triage and resolve data quality issues, report failures, and performance problems across the ...

Data Analyst

Sartell, MN · On-site

$50K - $60K/yr

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 ...

New

Data Analyst

Sartell, MN · On-site

$50K - $60K/yr

JOB SUMMARYThe Data Analyst is responsible for supporting business operations through reporting, analytics, process management, and data quality oversight. This role develops and maintains ...

Posted today

Showing results 21-40

Data Quality Analyst information

See Minnesota salary details

$20

$47

$69

How much do data quality analyst jobs pay per hour?

As of Aug 12, 2026, the average hourly pay for data quality analyst in Minnesota is $47.44, according to ZipRecruiter salary data. Most workers in this role earn between $33.89 and $59.09 per hour, depending on experience, location, and employer.

What are some common challenges data quality analysts face when handling large datasets, and how can they be addressed?

Data Quality Analysts often encounter challenges such as inconsistent data formats, missing values, and duplicate records when working with large datasets. Addressing these issues requires a combination of automated data profiling tools, well-defined data governance procedures, and close collaboration with data engineers and business stakeholders. Regular communication and clear documentation help ensure data standards are maintained and issues are quickly identified and resolved, ultimately supporting more reliable business decision-making.

What are the key skills and qualifications needed to thrive as a data quality analyst, and why are they important?

A Data Quality Analyst requires strong analytical skills, attention to detail, and a background in data management or statistics, often supported by a relevant degree. Familiarity with data profiling tools, SQL, Excel, and data quality management systems, as well as certifications like CDMP, are typically needed. Excellent problem-solving abilities, communication skills, and a proactive mindset help analysts identify and resolve data issues effectively. These competencies ensure organizational data is accurate, reliable, and actionable, which is critical for informed decision-making.

What is the difference between Data Quality Analyst vs Data Analyst?

AspectData Quality AnalystData Analyst
Primary FocusEnsuring data accuracy, completeness, and reliabilityAnalyzing data to identify trends and support decision-making
Skills & CertificationsData quality tools, SQL, data governance certificationsData visualization, statistical analysis, SQL
Work EnvironmentData governance teams, IT departmentsBusiness units, analytics teams
Industry UsageFinance, healthcare, retail, where data integrity is criticalMarketing, finance, operations, for insights and reporting

While both roles work with data, Data Quality Analysts focus on maintaining data integrity and quality standards, whereas Data Analysts interpret data to generate insights. Both roles often collaborate but serve different core functions within organizations.

What is a data quality analyst?

Data Quality Analysts are professionals responsible for ensuring the accuracy, consistency, and reliability of data within an organization. They analyze data sets to identify errors, inconsistencies, or gaps and develop processes for improving data quality. Their work often involves monitoring data flows, creating data quality reports, and collaborating with teams to implement data governance standards. By maintaining high-quality data, they help organizations make informed decisions and meet regulatory requirements.
What are the most commonly searched types of Data Quality Analyst jobs in Minnesota? The most popular types of Data Quality Analyst jobs in Minnesota are:
What job categories do people searching Data Quality Analyst jobs in Minnesota look for? The top searched job categories for Data Quality Analyst jobs in Minnesota are:
What cities in Minnesota are hiring for Data Quality Analyst jobs? Cities in Minnesota with the most Data Quality Analyst job openings:
What are popular job titles related to Data Quality Analyst jobs in MN? For Data Quality Analyst jobs in MN, the most frequently searched job titles are:
Infographic showing various Data Quality Analyst job openings in Minnesota as of August 2026, with employment types broken down into 1% As Needed, 80% Full Time, 14% Part Time, 4% Contract, and 1% Nights. Highlights an 90% Physical, 1% Hybrid, and 9% Remote job distribution, with an average salary of $98,666 per year, or $47.4 per hour.

Associate Data Analyst

Banner Engineering

Minneapolis, MN • On-site

$56K - $77K/hr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 26 days ago


Banner Engineering rating

8.4

Company rating: 8.4 out of 10

Based on 6 frontline employees who took The Breakroom Quiz

97th of 487 rated machine equipment manufacturers


Job description

Why Work at Banner?

For over 50 years, Banner Engineering has been at the forefront of industrial automation. We offer products and solutions including award-winning sensors, wireless solutions, machine safety, indication and LED lighting. With engineers employed in nearly every major department, engineering is in our DNA.

Banner is a rapidly growing company that offers many personal development opportunities, an excellent benefits package, and a collaborative team of employees who are passionate about what they do.

Position Summary

The Associate Data Analyst is a member of Banner Engineering's Data Team, supporting the organization's business intelligence, analytics, and enterprise data management initiatives. This role develops analytical solutions that improve decision-making, strengthen data quality, and help ensure business data is accurate, accessible, and trusted across the organization.

What You’ll Be Doing

This is an excellent opportunity for someone who enjoys solving complex business problems, working collaboratively across teams, and using data to drive better business decisions. The Associate Data Analyst will work on a variety of business intelligence, analytics, and enterprise data management initiatives while partnering with stakeholders throughout the organization to develop meaningful, data-driven solutions.

Key Responsibilities

Business Intelligence & Analytics

  • Design, develop, and maintain business intelligence applications and dashboards using Qlik to support data-driven decision-making across the organization.
  • Partner with business stakeholders to understand business processes, gather requirements, and translate business needs into analytical solutions.
  • Develop and maintain data models, visualizations, and reporting solutions that improve the accessibility and usability of enterprise data.

Enterprise Data Management

  • Develop and enhance automated data quality processes that improve the accuracy, consistency, and reliability of enterprise data.
  • Investigate data issues, perform root cause analysis, and collaborate with business stakeholders and IT to implement long-term solutions.
  • Support data governance initiatives through documentation, business glossaries, data definitions, and enterprise data standards.

Enterprise Data Support

  • Support Banner's ePlan data portal, including user support, issue resolution, and ongoing enhancements.
  • Develop SQL queries to support ad hoc reporting, data validation, troubleshooting, and business requests.

Continuous Improvement

  • Identify opportunities to improve reporting, analytics, business processes, and data management practices across the organization.
  • Contribute to a collaborative Data Team environment by sharing knowledge, documenting processes, and supporting team initiatives.

Pay and Benefits

Banner Engineering is committed to offering competitive pay and benefits, including, but not limited to:

  • 401(k) with match
  • Student Loan 401(k) match program
  • Medical, Dental, and Vision Insurance Plans
  • HSA (Health Savings Account) with company contribution
  • Paid Time Off (PTO)
  • Sales and Profit Sharing Eligibility
  • Flexible work hours
  • Life Insurance
  • Paid Parental Leave
  • Pet Insurance
  • Tuition Reimbursement

Base Pay Range: $56,419 - $77,575

The estimated range is the budgeted amount for this position. Final offers are based on various factors, including skill set, experience, location, qualifications and other job-related reasons.

What You Bring to the Table

To perform this job successfully, you must be able to perform each essential duty satisfactorily, and regular attendance is required. The requirements listed below are representative of the knowledge, skill, and/or ability required to perform this job.

Required

  • Bachelor’s degree in Computer Science, Management Information Systems (MIS), Business Analytics, Data Analytics, or a related field, or an equivalent combination of education and relevant experience.
  • 1–3 years of experience in business intelligence, data analytics, data quality, data management, or a related field, including relevant internship or co-op experience.
  • Strong analytical and problem-solving skills with the ability to investigate issues, identify root causes, and develop effective solutions.
  • Basic experience writing SQL queries and working with relational databases.
  • Demonstrated ability and desire to learn new technologies, understand business processes, explore data, and continuously learn new technologies and analytical techniques
  • Strong written and verbal communication skills, with the ability to work effectively with both technical and non-technical stakeholders.

Preferred

  • Experience developing business intelligence applications or dashboards using Qlik.
  • Experience with enterprise data quality or data management concepts.
  • Experience working with ERP systems or enterprise business data.
  • Familiarity with data governance concepts, business glossaries, or metadata management.
  • Strong organizational skills with the ability to manage multiple priorities in a collaborative environment.
  • High attention to detail and a commitment to producing accurate, reliable work.

Supervisory Responsibilities

  • This position has no direct supervisory responsibilities.

What to Expect at Work

Physical Demands

The physical demands described here must be met by an employee to successfully perform the essential functions of this job. Reasonable accommodation may be made to support individuals with disabilities.

  • Sit for up to 8 hours per day.
  • Continuous movement, walking, or standing.
  • Exposed to a computer screen for extended periods
  • May require repetitive motions such as utilize a computer mouse, keyboard, computer, and other standard office equipment.
  • Communicate with others frequently.

Working Environment

The work environment characteristics described here are representative of those you may encounter while performing the essential functions of this job.

  • Corporate office environment – indoor and climate-controlled

Core Values

Customer Driven, Accountability Focused, Integrity Always, New Solutions – Every Day

If you excel in a dynamic, collaborative environment and are looking for meaningful challenges and opportunities to grow, you’ll find a great fit here. Banner Engineering is a premier employer headquartered in MN, offering competitive compensation, comprehensive benefits, and opportunities for professional development as we rapidly grow in the Industrial Automation industry.

Banner Engineering is an equal opportunity employer that considers all qualified applicants without regard to race, color, religion, sex, sexual orientation, national origin, disability, or protected veteran status.

Affirmative Action (AA)/Equal Opportunity Employer (EOE) M/F/D/V

This job description reflects management’s assignment of key responsibilities; it does not prescribe or restrict the tasks that may be assigned.


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