Onsite Operations Data Analyst I — Las Vegas

DataJobs

Las Vegas (NV)

On-site

USD 60,000 - 90,000

Full time

4 days ago
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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 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.

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