Data Analyst, Senior Manager

TapTalent.ai


Date: 1 week ago
City: Taguig
Contract type: Full time
Summary

  • As a Sr Manager, Data Analyst, you will partner cross-functionally with teams throughout the company to validate business impacting analytical tools. You will enhance your technical and analytical skills, while also working with leaders to influence business strategies. With a network of hundreds of Data Analysts, Quants, and Data Scientists, challenging projects with an eye on the bottom line and a focus on work/life balance, we’ve created a dynamic environment with plenty of room for you to learn, grow, and realize your full potential.

General Responsibilities

  • Refining a new Enterprise-wide analytical tools validation framework
  • Planning and executing validation projects
  • Assessing the quality and risk of analytical tool methodologies across Capital One, and the nature of tools usage within those processes
  • Understanding technical issues in analytical tools and assessing tools risks and opportunities
  • Independently researching, identifying, and prototyping industry best practices for emerging analytical tools
  • Communicating results clearly and concisely both verbally and through written communications via validation reports and presentations
  • Leveraging education, colleagues and training opportunities to develop solutions to business problems
  • Coaching and mentoring junior staff

Basic Qualifications

  • Educational Background: Bachelor’s Degree in quantitative field (Statistics, Economics, Operations Research, Analytics, Mathematics, Computer Science or a related quantitative field)
  • Professional Experience:
    • At least 7 years of experience in data analytics
    • At least 5 years of experience leading and developing with open source data technologies
    • At least 2 years of experience managing people
    • Possessing strong problem solving and conceptual thinking abilities
    • Excellent communication skills , interpersonal and leadership skills
Preferred Qualifications

  • Master’s Degree or PhD in a Finance, Economics, Statistics, Mathematics, Industrial Engineering, Operations Research, or a related field
  • At least 7 years of experience in statistical or econometrics hands-on work
  • At least 5 years of experience manipulating and performing analysis with large data sets
  • At least 5 years of experience in financial services industry
  • At least 5 years of experience in developing statistical or econometric models
  • At least 5 years of experience in validating statistical or econometric models
  • At least 2 years of experience with data governance
  • At least 2 years of experience with predictive analytics

Ready to make an impact? Apply now and let’s grow together!

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