Senior Data Analytics Manager – Network Platforms & Ops

Capital One

New York (NY)

On-site

USD 219,000 - 250,000

Full time

14 days+
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Job summary

Capital One seeks a Senior Manager of Data Analysis for the Network Platforms and Product Operations tower in New York. The role leads data architecture, analytics strategy, and platform monitoring initiatives across high-volume transactional data streams.

You will drive data-driven insights, partner with global analytics, and mentor engineers to elevate data utilization across the team. The position emphasizes leadership in analytics, experience with open-source data tools, and a track record

Qualifications

  • Bachelor’s degree in a quantitative field plus 7+ years of data analytics experience, or Master’s with 5+ years.
  • At least 5 years of professional data analysis experience.
  • At least 2 years of people management experience.

Responsibilities

  • Refine analytical assets and monitoring framework across Network Platforms and Products.
  • Plan and execute data architecture and automated platform monitoring projects.
  • Assess quality, scalability, and performance of real-time data logs across product domains.
  • Identify data-driven risks, anomalies, and optimization opportunities.
  • Communicate results and trends in reports, dashboards, and leadership presentations.
  • Collaborate with Global Analytics to align local data assets with enterprise strategy and governance.
  • Coach and mentor technical staff to uphold high data utilization standards.

Skills

Data analytics
Open source data technologies
People management
Leadership

Education

Bachelor's degree (quantitative field)
Master’s degree or PhD (Data Science/CS/Statistics/Math/OR)

Job description

Capital One seeks a Senior Manager of Data Analysis for the Network Platforms and Product Operations tower in New York. The role leads data architecture, analytics strategy, and platform monitoring initiatives across high-volume transactional data streams.

You will drive data-driven insights, partner with global analytics, and mentor engineers to elevate data utilization across the team. The position emphasizes leadership in analytics, experience with open-source data tools, and a track record

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