This role pays more than
56%
of similar roles. Most pay
$133,090–$211,200
— the shaded band above.
At the midpoint, this role pays about
$176k
versus about
$172k
for comparable roles.
Based on 240 similar postings.
Employer
About Capital One Financial
Capital One Financial is a bank holding company specializing in credit cards, auto loans, banking, and savings products, known for its data-driven approach to consumer and commercial finance. Industry: Financial Services & Banking
Capital One Financial currently has
998 open roles
on FindRole.
Listed pay typically runs
$197,300–$225,100
across 992 roles with salary data.
Data Analysis Manager - Analytics & Transformation joins the Enterprise Data team to solve complex business and product challenges across various product teams. This role involves leading Product Analytics to measure performance, transforming complex data into actionable, AI-enabled insights that shape product strategy. You will manage a team of junior analysts while mining large databases containing millions or billions of records to improve operational efficiencies and reporting. Key responsibilities include building models to validate data, consulting on production and data storage systems, and developing strategic tests for marketing materials and products. The role requires proficiency in Python, R, Spark, SQL, and Tableau, along with experience in AWS services. Candidates must possess strong problem-solving skills and a background in Business Intelligence to navigate this fast-paced environment focused on building a modern enterprise data ecosystem.
Translate complex data into actionable, AI-enabled insights to shape product strategy and decision-making.
Manage a team of junior analysts through mentoring and professional development.
Mine large, complex databases containing millions or billions of records for critical information.
Identify and implement improvements in processes, data quality, and reporting systems.
Consult on the design and implementation of new production and data storage systems.
Develop and execute strategic tests for products, initiatives, and marketing materials.
Analyze product offerings to improve customer experience and operational efficiency.
What we're looking for
Must have 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 experience.
Must have at least 4 years of experience performing professional data analysis work.
Must have at least 4 years of experience performing programming.
Preferred candidates hold a Master's degree in a STEM discipline.
Preferred candidates have at least 7 years of professional data analysis work experience.
Preferred candidates have at least 4 years of experience with Python, R, Spark, or SQL.
Preferred candidates have at least 1 year of experience in people management and 1 year of project management experience.
Preferred qualifications include proficiency in Tableau and developing within AWS services.
Data Management
AWS
Big Data
Data Governance
Predictive Analytics
Statistical Modeling
Econometrics
Data Visualization
Data Quality
Data Catalog
Risk Management Frameworks