Data Analysis Manager - Analytics & Transformation
About The Position
At Capital One, data is central to the company’s operations and data-driven decision-making. The Data Analysis Manager will use analytics to inform current and future strategy, validate data and models, improve customer experience, and support products and initiatives. The role includes leading and mentoring junior analysts, collaborating across business units, and contributing throughout the project life cycle in a fast-paced, entrepreneurial environment. It has a strong Business Intelligence component and involves little travel. The position works with large and complex databases, evaluates processes and tests, analyzes product offerings, and consults on the design and implementation of production and data storage systems. The manager develops and implements strategic tests for products, initiatives, and marketing materials, and identifies improvements to processes, data, and reporting. This is a hybrid role requiring adherence to Capital One’s policy on on-site presence at the designated office location. The role is eligible for performance-based incentive compensation, which may include cash bonuses and/or long-term incentives. Capital One also offers health, financial, and other benefits; eligibility varies by employment status and management level.
Requirements
- Currently has, or is in the process of obtaining by the scheduled start date, a bachelor’s degree in a quantitative field and at least 6 years of data analytics experience, or a master’s degree and at least 4 years of data analytics experience.
- 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 while working independently and 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 experience with Tableau.
- Proficiency in utilizing and developing within AWS services.
- Business Intelligence background.
- Passion for new and innovative analytical tools.
Responsibilities
- Use analytical skills to drive current and future strategy.
- Assist with building and using models to test and validate data.
- Work with large amounts of data in new and evolving environments.
- Use analytics to improve customer experience and support growth in new and emerging markets.
- Lead, mentor, and develop junior analysts.
- Participate in the full life cycle of projects and collaborate across business units.
- Mine data to identify important information for the organization.
- 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 evaluate 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.
- 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
