Entry Level Data Operations Manager Jobs
New grad data operations 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 can matter more than a long resume. Most openings mix on-site, remote, and hybrid settings across Technology & Software, Insurance, and Consulting & Professional Services, with employers like Amazon, Oscar Management Corporation, and GXO Logistics hiring at this level now.
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Description
Position Summary
Credit One Bank is looking for an Operations Data Analyst I to support the overall growth of the organization. The Operations Data Analyst I will focus on improving and maintaining customer service standards through the analysis of diverse business systems and processes. The individual in this position will work within the Customer Service Department's Analytics team and will be responsible for collecting, consolidating, analyzing, and visualizing data from various sources, with the purpose of optimizing processes, improving operations systems, and providing the best card member experience. The ideal candidate is driven by analysis, efficiency, and quality, and will be ready to help guide the direction of a growing company.
Summary of Essential Job Functions
- Prepare operational reports by collecting, interpreting, evaluating, and summarizing information and trends to develop integrated business analyses and projections for incorporation into strategic decision-making.
- Recommend systems improvements to senior management based on analysis of current practices, outcomes, and trends. Participate in the implementation and monitoring of approved changes.
- In collaboration with direct manager and peer analysts, conduct internal stakeholder research to support strategic and business planning.
- Perform daily, weekly, and monthly reviews and analyses of current processes using department-defined operational metrics and reports.
- Understand and communicate the financial and operational impact of changes to procedures or strategies.
- Perform other duties as assigned.
Position Requirements
- 1-2 years of experience in research or analytics environment, including programming, data mining, analysis, and reporting
- Strong analytical skills with the ability to collect, organize, analyze, and disseminate significant amounts of information with attention to detail and accuracy
- Demonstrated knowledge of data processing and analysis tools such as Python, SQL, SAS, and Tableau
- Ability to work independently and with others
- Demonstrate company core values of excellence, ownership, collaboration, and integrity
Preferred
- Bachelor's Degree or equivalent work experience
- Academic or professional experience using Python or SAS for data analysis and statistics, and Tableau for data visualization
- Excellent written and verbal communication skills
- Knowledge of credit card banking industry practices, regulations, and standards
- Understanding of standard business and customer service practices
Credit One Bank, N.A. is a data-driven financial services company based in Las Vegas. Founded in 1984, Credit One Bank offers a spectrum of credit card products for people in all stages of financial life. Credit One Bank is an equal opportunity employer committed to diversity and inclusion and does not discriminate against any employee or applicant for employment because of age, race, religion, color, disability, sex, sexual orientation, or national origin. Reasonable accommodations can be made for those who require them, including access to job applications and workplace accommodations. Employment at Credit One Bank is based on mutual consent (also known as at-will). This means that employees and the Bank may terminate the employment relationship at any time, with or without cause and with or without notice. Please contact the recruiter for this position to learn more. Credit One Bank does not accept unsolicited resumes from agencies and is not responsible for related fees.
Description
Position Summary
Credit One Bank is looking for an Operations Data Analyst I to support the overall growth of the organization. The Operations Data Analyst I will focus on improving and maintaining customer service standards through the analysis of diverse business systems and processes. The individual in this position will work within the Customer Service Department's Analytics team and will be responsible for collecting, consolidating, analyzing, and visualizing data from various sources, with the purpose of optimizing processes, improving operations systems, and providing the best card member experience. The ideal candidate is driven by analysis, efficiency, and quality, and will be ready to help guide the direction of a growing company.
Summary of Essential Job Functions
- Prepare operational reports by collecting, interpreting, evaluating, and summarizing information and trends to develop integrated business analyses and projections for incorporation into strategic decision-making.
- Recommend systems improvements to senior management based on analysis of current practices, outcomes, and trends. Participate in the implementation and monitoring of approved changes.
- In collaboration with direct manager and peer analysts, conduct internal stakeholder research to support strategic and business planning.
- Perform daily, weekly, and monthly reviews and analyses of current processes using department-defined operational metrics and reports.
- Understand and communicate the financial and operational impact of changes to procedures or strategies.
- Perform other duties as assigned.
Position Requirements
- 1-2 years of experience in research or analytics environment, including programming, data mining, analysis, and reporting
- Strong analytical skills with the ability to collect, organize, analyze, and disseminate significant amounts of information with attention to detail and accuracy
- Demonstrated knowledge of data processing and analysis tools such as Python, SQL, SAS, and Tableau
- Ability to work independently and with others
- Demonstrate company core values of excellence, ownership, collaboration, and integrity
Preferred
- Bachelor's Degree or equivalent work experience
- Academic or professional experience using Python or SAS for data analysis and statistics, and Tableau for data visualization
- Excellent written and verbal communication skills
- Knowledge of credit card banking industry practices, regulations, and standards
- Understanding of standard business and customer service practices
Credit One Bank, N.A. is a data-driven financial services company based in Las Vegas. Founded in 1984, Credit One Bank offers a spectrum of credit card products for people in all stages of financial life. Credit One Bank is an equal opportunity employer committed to diversity and inclusion and does not discriminate against any employee or applicant for employment because of age, race, religion, color, disability, sex, sexual orientation, or national origin. Reasonable accommodations can be made for those who require them, including access to job applications and workplace accommodations. Employment at Credit One Bank is based on mutual consent (also known as at-will). This means that employees and the Bank may terminate the employment relationship at any time, with or without cause and with or without notice. Please contact the recruiter for this position to learn more. Credit One Bank does not accept unsolicited resumes from agencies and is not responsible for related fees.
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Find JobsEntry Level Data Operations Manager Job Market
Who's Hiring
- Amazon13
- Oscar Management Corporation8
- GXO Logistics7
- Ensono2
- Delta Air Lines2
Top Industries Hiring
- Technology & Software
- Insurance
- Consulting & Professional Services
- Electronics & Hardware
- Retail
Entry Level Data Operations Manager Jobs: Frequently Asked Questions
How do I get an entry level data operations manager job?
Employers hiring at this level look for candidates who can demonstrate hands-on experience with data pipelines, spreadsheets, or database tools, even if that experience comes from coursework or internships. A portfolio showing a real data cleaning or reporting project gives you a concrete edge. Familiarity with SQL or a business intelligence tool like Tableau is frequently mentioned in entry level postings, so building those skills before you apply strengthens your candidacy.
Which companies hire entry level data operations managers?
Companies hiring entry level data operations managers right now include Amazon, Oscar Management Corporation, and GXO Logistics, based on current listings on Migrate Mate as of September 2026. At this level, hiring tends to come from a mix of tech-forward enterprises, healthcare systems, and logistics companies that rely on structured data workflows and need junior talent to help maintain and improve them.
Are there remote entry level data operations manager jobs?
Yes, though availability varies by employer and industry. About 28% of entry level data operations manager openings are remote or hybrid as of September 2026, giving new candidates meaningful flexibility. Fully remote roles at this level often require stronger self-management skills, so highlighting any experience working independently on data projects can help your application stand out.
Are these new grad data operations manager jobs?
Yes, the roles listed here include new grad, recent graduate, and junior data operations manager positions. A new grad friendly posting typically welcomes candidates with zero to two years of experience and accepts internships, capstone projects, or a portfolio in place of full-time work history. Look for language like 'entry level,' 'training provided,' or 'no prior experience required' as signals that the employer is open to candidates just starting out.
Which industries hire the most entry level data operations managers?
Entry Level data operations manager roles concentrate in Technology & Software, Insurance, and Consulting & Professional Services, based on current listings on Migrate Mate as of September 2026. These sectors tend to generate high volumes of operational data that requires ongoing management and quality control, making them consistent sources of junior hiring for candidates building their early career in data operations.