Data Analysis Manager
About The Position
The Data Analysis Manager will use analytics to drive current and future strategy, build and validate models, and work with large datasets in evolving environments. The role contributes to customer experience, product and market development, operational improvements, and the full life cycle of analytical projects. It includes leading and mentoring junior analysts and collaborating across business units in a fast-paced, entrepreneurial environment. The role is on Capital One’s IFX Data Intelligence & Insights (DI2) team, which supports Tech and AI leadership through interactive web applications, automation pipelines, and experimentation frameworks. The team owns the IFX OneDashboard, described as having 36 custom products and more than 100,000 annual views, and builds data products, platforms, guardrails, and visualizations for technology insights. The manager mines and analyzes data, improves processes and reporting, evaluates processes and tests, assesses product offerings, and advises on production and data-storage systems. The position has a strong Business Intelligence component and involves multiple concurrent projects, independently and with teams. It is designated hybrid, with on-site attendance required under Capital One’s hybrid policy. Little travel is involved.
Requirements
- Currently has, or is in the process of obtaining, a bachelor’s degree in a quantitative field (such as Statistics, Economics, Operations Research, Analytics, Mathematics, or Computer Science) plus at least 6 years of data analytics experience, or a master’s degree plus at least 4 years of data analytics experience; the required degree must be obtained on or before the scheduled start date.
- At least 4 years of professional data analysis experience.
- At least 4 years of programming experience.
- Strong problem-solving and conceptual-thinking abilities.
- Strong communication, interpersonal, and leadership skills.
- Ability to handle multiple concurrent projects and work independently as well as in teams.
Nice To Haves
- Master’s degree in a Science, Technology, Engineering, or Mathematics discipline.
- At least 7 years of professional data analysis experience.
- At least 4 years of experience with Python, R, Spark, or SQL.
- At least 1 year of people-management experience.
- At least 1 year of project-management experience.
- At least 1 year of Tableau experience.
- Proficiency using and developing within AWS services.
- Business Intelligence background.
- Passion for innovative analytical technology and tools.
Responsibilities
- Drive current and future strategy through analytics.
- Assist with building and using models to test and validate data.
- Work with large amounts of data in new and evolving environments.
- Contribute to the company’s brand in new and emerging markets.
- Use analytics to improve customer experience.
- Lead, mentor, and develop junior analysts.
- Participate in the full life cycle of projects and deliver end results.
- Collaborate across business units.
- Mine data to identify important organizational information.
- Identify and implement process, data, and reporting improvements.
- Work with large and complex databases containing millions to billions of records.
- Improve operational efficiency and effectiveness.
- Conduct analysis to evaluate processes and tests.
- Extract and analyze data to assess product offerings.
- Consult on the design and implementation of production and data-storage systems.
- Develop and implement strategic tests of products, initiatives, and marketing materials.
Benefits
- Comprehensive health, financial, and other benefits supporting total well-being; eligibility varies by employment status and management level.
- Performance-based incentive compensation, which may include cash bonuses and/or long-term incentives.
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What This Job Offers
Job Type
Full-time
Career Level
Manager
