Operations Data Analyst I

DataJobs; Las Vegas (NV); On-site; USD 60,000 - 90,000; Full time

Job summary

Credit One Bank in Las Vegas, NV seeks an Operations Data Analyst I to analyze operational systems, translate findings into actionable insights, and support strategic planning with clear reporting and visualization.

You will collect, consolidate, and interpret information to produce integrated analyses that inform decision-making, identify trends, and support process optimization across day-to-day operations.

Qualifications

• You have 1-2 years of experience in a research or analytics environment, including programming, data mining, analysis, and reporting.
• You can collect, organize, analyze, and disseminate large volumes of information with accuracy and attention to detail.
• You have experience with Python, SQL, SAS and Tableau for data analysis and visualization.
• You communicate clearly, both in writing and verbally.

Responsibilities

• Collect, consolidate, and interpret operational information to produce integrated business analyses and projections.
• Identify trends, evaluate current practices, and support process optimization across day-to-day operations.
• Recommend systems improvements to senior management based on analysis of outcomes and trends.
• Collaborate with managers and peers to conduct internal stakeholder research for planning.
• Conduct daily, weekly, and monthly reviews and analyses of processes using operational metrics.

Skills

Attention to detail

Independent worker

Communication skills

Education

Bachelor's Degree

Tools

Python

SQL

SAS

Tableau

Job description

Credit One Bank is building stronger operations and a better card member experience through data-driven improvements. As an Operations Data Analyst I in Las Vegas, NV (onsite), you will help support business growth by analyzing operational systems and processes, translating findings into actionable insights, and supporting strategic planning with clear reporting and visualization.

What you'll focus on

You will collect, consolidate, and interpret operational information to produce integrated business analyses and projections that can inform strategic decision-making. Your work will help identify trends, evaluate current practices, and support process optimization across day-to-day operations. You will also recommend systems improvements based on observed outcomes and trends, collaborating on implementation and ongoing monitoring of approved changes.

• Prepare operational reports by collecting, interpreting, evaluating, and summarizing information and trends for business analysis and projections.
• Recommend systems improvements to senior management based on analysis of current practices, outcomes, and trends; participate in implementation and monitoring.
• Collaborate with your direct manager and peer analysts to conduct internal stakeholder research for strategic and business planning.
• Conduct daily, weekly, and monthly reviews and analyses of 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.

What you bring

• 1-2 years of experience in a research or analytics environment, including programming, data mining, analysis, and reporting.
• Strong ability to collect, organize, analyze, and disseminate large volumes of information with attention to detail and accuracy.
• Demonstrated knowledge of data processing and analysis tools including Python, SQL, SAS, and Tableau.
• Ability to work independently and with others.
• Demonstrated commitment to company core values of excellence, ownership, collaboration, and integrity.

Helpful background (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.

Technologies: Python, SQL, SAS, Tableau