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Operational Strategy Analyst

2 months ago


Las Vegas, Nevada, United States Credit One Bank, N.A. Full time
Position Overview:

As an Operational Strategy Analyst at Credit One Bank, N.A., you will play a crucial role in enhancing our business processes and decision-making capabilities.


Key Responsibilities:
  • Utilize mathematical modeling and optimization techniques to generate insights that support management in strategic decision-making and policy development.
  • Conduct thorough evaluations and analyses of operational strategies, reporting any anomalies and performance metrics to senior management.
  • Gather and interpret data to provide actionable insights for the marketing team, ensuring alignment with business objectives.
  • Document and assess business processes to identify inefficiencies and recommend improvements.
  • Design and implement innovative business methodologies and procedures to streamline operations.
  • Oversee the creation of internal templates and provide constructive feedback for enhancements.
  • Lead initiatives aimed at improving quality, effectiveness, and operational efficiency.
  • Collaborate with the QA team to review requirements and ensure compliance with standards.
  • Engage with both internal and external stakeholders to foster collaboration and uphold quality standards.
  • Support marketing efforts by establishing robust quality processes to ensure the accuracy of communications and promotional offers.
  • Implement best practices for data management to guarantee the reliability and clarity of data, dashboards, and reports.
  • Analyze business performance trends and identify opportunities for improvement through various reporting tools and methodologies.

Qualifications:

A Master's degree in Applied Analytics or a related discipline is required, along with a minimum of 2 years of relevant experience.


Preferred Skills:

Experience with the following tools and technologies is essential:

  • Tableau, SAS, SQL/Oracle, Adobe Analytics, Google Analytics, Power BI
  • Automation tools, Python, MS Project, and advanced MS Excel (including macros, pivots, and data analysis tools)
  • Database management using MS Access and Alteryx
  • Statistical software such as JMP, SPSS, and R