Principal Data Analyst – Strategy and Analytics

Capital One; New York (NY); On-site; USD 143,200 - 163,500; Full time

Job summary

Capital One is seeking a Principal Data Analyst to drive strategy and analytics, building and maintaining data solutions and dashboards for business insight. The role emphasizes collaboration across analytics, data management, and technology teams to deliver high-quality data products.

Ideal candidates will have advanced analytics experience, strong scripting skills, and exposure to AWS and data governance practices, across data warehouses and unstructured data.

Qualifications

• Bachelor’s degree in quantitative field with 5+ years of analytics experience or Master’s with 3+ years, degree to be obtained by start date.

Responsibilities

• Mine complex data sources using open source and digital technologies to build data solutions.
• Partner with business to design dashboards, metrics, and insights.
• Drive analysis to inform business strategies.
• Ensure data quality with metadata, lineage, and definitions.
• Collaborate with Tech on data access governance and security.
• Develop tools to monitor and report data quality.

Skills

Python

R

Spark

SQL

AWS

Education

Bachelor’s Degree in a quantitative field

Master’s Degree in STEM

Tools

Python

R

Spark

SQL

AWS

Job description

Principal Data Analyst - Strategy and Analytics

At Capital One, data is at the center of everything we do. When we launched as a startup we disrupted the credit card industry by individually personalizing every credit card offer using statistical modeling and the relational database, cutting edge technology in 1988! Fast-forward a few years, and this little innovation and our passion for data has skyrocketed us to a Fortune 200 company and a leader in the world of data-driven decision-making.

As a Data Analyst at Capital One you will leverage analytic and technical skills to innovate, build, and maintain well‑managed data solutions and capabilities to tackle business problems.

Responsibilities

Innovation

• Use Open Source/Digital technologies to mine complex, voluminous, and different varieties of data sources and platforms

• Build well‑managed data solutions, tools, and capabilities to enable self‑service frameworks for data consumers

• Demonstrate ability to explore and quickly grasp new technologies to progress varied initiatives

Business Intelligence

• Partner with the business to provide consultancy and translate the business needs to design and develop tools, techniques, metrics, and dashboards for insights and data visualization

• Drive analysis that provides meaningful insights on business strategies

Data Management

• Drive an understanding and adherence to the principles of data quality management including metadata, lineage, and business definitions

• Work collaboratively with appropriate Tech teams to manage security mechanisms and data access governance

• Build and execute tools to monitor and report on data quality

Our Ideal Candidate Will Have:

• Degree specialized in a Science, Technology, Engineering, Mathematics discipline

• Scripting experience in (Python, R, Spark, and SQL)

• Sound statistical and machine learning experience, including regression, classifiers, clustering, and causal inference.

• Strong desire and experience with data in various forms (data warehouses/SQL, unstructured data)

• Experience utilizing and developing within AWS services

Basic Qualifications:

• Currently has, or is in the process of obtaining a Bachelor’s Degree in quantitative field (Statistics, Economics, Operations Research, Analytics, Mathematics, Computer Science or a related quantitative field) plus at least 5 years of experience performing data analytics, or, a Master’s Degree plus at least 3 years performing data analytics with an expectation that required degree will be obtained on or before the scheduled start date.

• At least 3 years of experience working with at least one scripting language

• At least 3 years of experience utilizing a business intelligence visualization tool

• At least 3 years of experience in querying, analyzing and working with data languages and platforms

Preferred Qualifications:

• Master’s Degree in a Science, Technology, Engineering, Mathematics discipline

• At least 4 years of experience coding in Python, R, Spark, or SQL

• At least 4 years of experience working within process management and improvement methodologies – Agile, Lean, Six Sigma, etc.

• At least 2 years of experience utilizing and developing within AWS services

• At least 2 years of experience delivering Data Governance and Data Quality Management concepts and practices within the financial services industry

Capital One will consider sponsoring a new qualified applicant for employment authorization for this position

Compensation and Benefits

McLean, VA: $131,300 - $149,800 for Principal Data Analyst

New York, NY: $143,200 - $163,500 for Principal Data Analyst

Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well‑being. Eligibility varies based on full or part‑time status, exempt or non‑exempt status, and management level.

Equal Opportunity Employer

Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non‑discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug‑free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23‑A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections 4901‑4920; New York City’s Fair Chance Act; Philadelphia’s Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries.