Entry Level Data Quality Manager Jobs
New grad data quality manager jobs are open to recent graduates and entry level candidates with zero to two years of experience, where a strong portfolio or internship work demonstrating data validation, cleaning, or QA skills can matter more than a long resume. Most openings are on-site roles across Technology & Software, Artificial Intelligence, and Consulting & Professional Services, with employers like Reflection, Reflection AI, and Oracle hiring at this level now.
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We are seeking a Quality Data Support Engineer to support automotive quality engineering activities through data collection, analysis, reporting, and documentation. This role will assist the quality team in monitoring quality performance, tracking issues, identifying trends, and supporting continuous improvement initiatives across manufacturing and engineering operations.
The ideal candidate is detail-oriented, analytical, eager to learn, and interested in developing a career in automotive quality engineering.
Key Responsibilities
- Collect, organize, validate, and maintain quality data from manufacturing and engineering systems.
- Assist in analyzing quality metrics, including defect rates, scrap, rework, and non-conformance reports.
- Prepare and update quality reports, dashboards, and key performance indicators (KPIs).
- Support Quality Engineers in tracking quality issues and documenting corrective actions.
- Assist with root cause analysis and problem-solving activities.
- Monitor quality trends and identify recurring issues or opportunities for improvement.
- Maintain accurate quality documentation and records.
- Collaborate with Quality, Manufacturing, Production, and Engineering teams to ensure data accuracy.
- Support internal quality reviews and continuous improvement initiatives.
- Perform additional data management and reporting tasks as required.
Required Qualifications
- Bachelor’s degree in Industrial Engineering, Mechanical Engineering, Manufacturing Engineering, or a related field.
- +1 year of experience in quality, manufacturing, data analysis, or engineering support. (Recent graduates are welcome)
- Basic knowledge of manufacturing processes and quality principles.
- Proficiency in Microsoft Excel, including spreadsheets, formulas, and data organization.
- Strong analytical skills and attention to detail.
- Good organizational, communication, and problem-solving skills.
- Ability to work collaboratively in a team environment.
Preferred Qualifications
- Internship or entry-level experience in the automotive industry.
- Basic knowledge of automotive quality tools, such as 5 Whys, Fishbone Diagram, Pareto Analysis, and 8D.
- Familiarity with quality standards such as IATF 16949.
- Basic experience with Power BI or other data visualization tools.
Pay: $60,000.00 - $62,000.00 per year
Benefits:
- 401(k) matching
- Dental insurance
- Health insurance
- Life insurance
- Referral program
- Relocation assistance
- Vision insurance
Work Location: In person
We are seeking a Quality Data Support Engineer to support automotive quality engineering activities through data collection, analysis, reporting, and documentation. This role will assist the quality team in monitoring quality performance, tracking issues, identifying trends, and supporting continuous improvement initiatives across manufacturing and engineering operations.
The ideal candidate is detail-oriented, analytical, eager to learn, and interested in developing a career in automotive quality engineering.
Key Responsibilities
- Collect, organize, validate, and maintain quality data from manufacturing and engineering systems.
- Assist in analyzing quality metrics, including defect rates, scrap, rework, and non-conformance reports.
- Prepare and update quality reports, dashboards, and key performance indicators (KPIs).
- Support Quality Engineers in tracking quality issues and documenting corrective actions.
- Assist with root cause analysis and problem-solving activities.
- Monitor quality trends and identify recurring issues or opportunities for improvement.
- Maintain accurate quality documentation and records.
- Collaborate with Quality, Manufacturing, Production, and Engineering teams to ensure data accuracy.
- Support internal quality reviews and continuous improvement initiatives.
- Perform additional data management and reporting tasks as required.
Required Qualifications
- Bachelor’s degree in Industrial Engineering, Mechanical Engineering, Manufacturing Engineering, or a related field.
- +1 year of experience in quality, manufacturing, data analysis, or engineering support. (Recent graduates are welcome)
- Basic knowledge of manufacturing processes and quality principles.
- Proficiency in Microsoft Excel, including spreadsheets, formulas, and data organization.
- Strong analytical skills and attention to detail.
- Good organizational, communication, and problem-solving skills.
- Ability to work collaboratively in a team environment.
Preferred Qualifications
- Internship or entry-level experience in the automotive industry.
- Basic knowledge of automotive quality tools, such as 5 Whys, Fishbone Diagram, Pareto Analysis, and 8D.
- Familiarity with quality standards such as IATF 16949.
- Basic experience with Power BI or other data visualization tools.
Pay: $60,000.00 - $62,000.00 per year
Benefits:
- 401(k) matching
- Dental insurance
- Health insurance
- Life insurance
- Referral program
- Relocation assistance
- Vision insurance
Work Location: In person
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Entry Level Data Quality Manager Jobs: Frequently Asked Questions
How do I get an entry level data quality manager job?
Employers hiring at this level look for candidates who can demonstrate hands-on experience with data validation, data cleaning, and quality assurance processes, even if that experience comes from coursework, internships, or personal projects. Proficiency with SQL, Excel, or a data quality tool like Informatica or Talend gives candidates a clear edge. A portfolio showing how you identified and resolved data issues is often more persuasive than credentials alone.
Which companies hire entry level data quality managers?
Companies hiring entry level data quality managers right now include Reflection, Reflection AI, and Oracle, based on current listings on Migrate Mate as of November 2026. At this level, hiring is spread across a range of employers, from large enterprises building out data governance teams to mid-size technology and healthcare organizations that need dedicated quality oversight as their data operations grow.
Are there remote entry level data quality manager jobs?
Yes, though on-site and hybrid roles still dominate at the entry level. About 0% of entry level data quality manager openings are remote or hybrid as of November 2026, reflecting employer preference for newer team members to work closely with data engineering and analytics colleagues while building foundational skills and institutional knowledge.
Are these new grad data quality manager jobs?
Yes, these listings include new grad, recent graduate, and junior data quality manager roles. A posting is new grad friendly when it welcomes zero to two years of experience, accepts internship or academic project work in lieu of full-time history, or explicitly lists a degree in lieu of experience. If you're a recent graduate with relevant coursework or a junior candidate from a data bootcamp, these roles are built for you.
Which industries hire the most entry level data quality managers?
Entry Level data quality manager roles concentrate in Technology & Software, Artificial Intelligence, and Consulting & Professional Services, based on current listings on Migrate Mate as of November 2026. These sectors drive entry level hiring because their operations depend on large volumes of accurate, well-governed data, creating consistent demand for candidates who can build and enforce quality standards from the ground up.