Data Analytics Manager: Lead Data Strategy and Insights

Capital One

McLean (VA)

On-site

USD 165,000 - 188,000

Full time

14 days+
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Job summary

Capital One seeks a Data Analysis Manager for ES Risk Analytics to lead a team of junior analysts, develop data-driven strategies, and oversee end-to-end analytics initiatives. The role emphasizes modeling, testing, and scalable data solutions across massive datasets within a fast-paced environment.

You will mentor analysts, collaborate across business units, and advance BI capabilities using AWS, Python, SQL, and Tableau, while delivering measurable business impact and data quality improvements.

Qualifications

  • Bachelor’s Degree in quantitative field plus 6 years analytics experience, or Master’s Degree plus 4+ years analytics experience
  • At least 4 years of professional data analysis work
  • At least 4 years of programming experience

Responsibilities

  • Mining data to arrive at specific and crucial information for the organization
  • Identifying and implementing process, data, and reporting improvements for the organization
  • Working with large and complex databases containing millions to billions of records
  • Improving operational efficiencies and effectiveness
  • Conducting analysis to evaluate processes and tests
  • Extracting and analyzing data to gauge product offerings
  • Consulting on the design and implementation of new production and data storage systems
  • Developing and implementing strategic tests of products, initiatives and marketing materials

Skills

Leadership
Analytical thinking
Communication
Problem solving
Mentoring

Education

Bachelor’s Degree in quantitative field
Master’s Degree

Tools

Python
R
Spark
SQL
Tableau
AWS
Terraform
CloudFormation

Job description

Capital One seeks a Data Analysis Manager for ES Risk Analytics to lead a team of junior analysts, develop data-driven strategies, and oversee end-to-end analytics initiatives. The role emphasizes modeling, testing, and scalable data solutions across massive datasets within a fast-paced environment.

You will mentor analysts, collaborate across business units, and advance BI capabilities using AWS, Python, SQL, and Tableau, while delivering measurable business impact and data quality improvements.

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