This role pays less than
77%
of similar roles. Most pay
$129,368–$211,200
— the shaded band above.
At the midpoint, this role pays about
$128k
versus about
$170k
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
700 open roles
on FindRole.
Listed pay typically runs
$197,300–$225,100
across 693 roles with salary data.
As a Principal Data Analyst at Capital One’s Navigator Platform team, you will leverage your technical expertise to innovate and build data solutions that enhance the digital auto buying experience. Your day-to-day responsibilities include using open-source technologies to mine complex data sources, developing self-service frameworks for data consumers, partnering with business teams to design and develop tools for insights and data visualization, ensuring adherence to data quality principles, and collaborating with tech teams on security mechanisms and access governance. Ideal candidates possess a degree in STEM fields, experience with Python, R, Spark, SQL, and AWS services, and a strong background in querying and analyzing diverse data types. The Navigator Platform team is at the forefront of delivering an end-to-end digital auto buying journey using analytics, machine learning, and cloud technology to provide personalized shopping experiences for customers.
Build well-managed data solutions to enable self-service frameworks.
Translate business needs into tools and techniques for insights and visualization.
Drive analysis providing meaningful insights on business strategies.
Manage security mechanisms and data access governance collaboratively.
Monitor and report on data quality using built tools.
What we're looking for
Bachelor’s Degree in quantitative field plus at least 5 years of data analytics experience or Master’s Degree plus at least 3 years of data analytics experience.
At least 3 years of experience with scripting languages (Python, R, Spark, SQL).
At least 3 years of experience utilizing business intelligence visualization tools.
Experience querying and analyzing data using various platforms and languages.
Preferred: Master’s Degree in STEM discipline.
Preferred: 4+ years coding in Python, R, Spark, or SQL.
Power BI
SQL
DAX
Python
Oracle
Microsoft SQL Server
Excel
TIBCO Spotfire
Business Objects
Pega Platform
Data Modeling
Dashboard Storytelling
Advanced Analytics
Data Validation
Cross-Functional Collaboration
CI/CD