Capital One is seeking a Senior Data Analyst for its Global Payment Network - Network Risk team, focusing on leveraging data analytics and technical skills to mitigate systemic risks. The role requires experience in scripting languages and data management, as well as strong analytical capabilities to drive business intelligence and innovation
Job Summary
Leverage analytic and technical skills to innovate, build, and maintain well-managed data solutions and capabilities to tackle business problems.
The Global Payment Network - Network Risk team leverages large-scale transaction data, risk modeling, and advanced analytics to inform key strategic decisions regarding how we identify, monitor, and mitigate systemic risks.
This role is Hybrid, with associates expected to consistently spend three days per week in the office.
Matching Summary
Match Score: 85
Capital One is seeking a Senior Data Analyst for its Global Payment Network - Network Risk team, focusing on leveraging data analytics and technical skills to mitigate systemic risks. The role requires experience in scripting languages and data management, as well as strong analytical capabilities to drive business intelligence and innovation.
Salary
McLean, VA: $111,200 - $126,900; Richmond, VA: $101,100 - $115,400; Chicago, IL: $101,100 - $115,400; Riverwoods, IL: $101,100 - $115,400; Bonus/Equity: Performance based incentive compensation; Benefits: Comprehensive, competitive, and inclusive set of health, financial and other benefits
Skills & Requirements
Must-have
Python, R, Spark, and SQL scripting
Data warehousing and SQL experience
Snowflake services development
Business intelligence visualization tools
Data quality management principles
Nice-to-have
Agile, Lean, Six Sigma methodologies
AWS services utilization
Data governance and quality tools
Key Requirements
Bachelor’s Degree in quantitative field plus 2 years of data analytics experience
Master’s Degree in quantitative field
1 year of scripting language experience
1 year of business intelligence visualization tool experience
1 year of querying, analyzing, and working with data languages and platforms