Entry Level Data Operations Analyst Jobs
New grad data operations analyst 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 and remote settings across Insurance, Technology & Software, and Food & Beverage, with employers like Oscar Management Corporation, Ensono, and Skechers 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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Top Industries Hiring
- Insurance
- Technology & Software
- Food & Beverage
- Fashion & Apparel
- Accounting & Auditing
Entry Level Data Operations Analyst Jobs: Frequently Asked Questions
How do I get an entry level data operations analyst job?
Employers hiring at this level look for familiarity with SQL, spreadsheet tools like Excel or Google Sheets, and basic data quality concepts. A portfolio project that shows you can clean, validate, or reconcile a real dataset gives you a concrete edge over candidates with only coursework. Internship experience in a data or operations team also signals readiness. Tailor your resume to each posting and highlight any experience working with data pipelines, reporting dashboards, or process documentation.
Which companies hire entry level data operations analysts?
Companies hiring entry level data operations analysts right now include Oscar Management Corporation, Ensono, and Skechers, based on current listings on Migrate Mate as of September 2026. Hiring at this level comes from a wide range of employers, including technology firms, financial services companies, healthcare organizations, and logistics providers that rely on clean, structured data to run daily operations.
Are there remote entry level data operations analyst jobs?
Yes, though availability varies by employer and industry. About 55% of entry level data operations analyst openings are remote or hybrid as of September 2026, meaning candidates are not limited to roles in a single city. Hybrid arrangements are common, particularly at larger companies that want new analysts to build working relationships with data and operations teams in person at least part of the week.
Are these new grad data operations analyst jobs?
Yes, the listings here include new grad, recent graduate, and junior data operations analyst roles. A posting is new-grad friendly when it welcomes zero to two years of experience, accepts internship or project work in place of full-time history, or lists a portfolio or academic coursework as qualifying credentials. If a posting does not require prior professional experience as a strict condition, it is generally accessible to candidates entering the field for the first time.
Which industries hire the most entry level data operations analysts?
Entry Level data operations analyst roles concentrate in Insurance, Technology & Software, and Food & Beverage, based on current listings on Migrate Mate as of September 2026. These sectors generate large volumes of transactional or operational data that require ongoing monitoring, cleaning, and reporting, which makes entry level analysts a practical hire for teams that need consistent data quality work without the overhead of senior-level salaries.