Impress employers and recruiters.
Choose from hundreds of resume examples.

Impress employers and recruiters.
Choose from hundreds of resume examples.
Tailor your resume to this Senior Data Analyst - Emerging Payments & AirKey role.
Rezi rewrites your resume against Capital One's job description. Free.

Tailor your resume to this Senior Data Analyst - Emerging Payments & AirKey role.
Rezi rewrites your resume against Capital One's job description. Free.
Don't guess if your resume is good enough.
See how it scores against the Senior Data Analyst - Emerging Payments & AirKey posting at Capital One — free, in seconds.

Don't guess if your resume is good enough.
See how it scores against the Senior Data Analyst - Emerging Payments & AirKey posting at Capital One — free, in seconds.
About the Role
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. You will be challenged by three types of work: Innovation, Business Intelligence, and Data Management.
Responsibilities
- 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
- 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
- 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
Requirements
- Degree specialized in a Science, Technology, Engineering, Mathematics discipline
- Scripting experience in (Python, R, Spark, and SQL)
- Strong desire and experience with data in various forms (data warehouses/SQL, unstructured data)
- Experience utilizing and developing within Snowflake services
- 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 2 years of experience performing data analytics, or currently has, or is in the process of obtaining a Master’s Degree with an expectation that required degree will be obtained on or before the scheduled start date.
- At least 1 year of experience working with at least one scripting language
- At least 1 year of experience utilizing business intelligence visualization tool
- At least 1 year of experience querying, analyzing and working with data languages and platforms
- Master’s Degree in a Science, Technology, Engineering, Mathematics discipline
- At least 2 years of experience coding in Python, R, Spark, or SQL
- At least 2 years of experience working within process management and improvement methodologies – Agile, Lean, Six Sigma, etc.
- At least 1 year of experience utilizing and developing within AWS services
- At least 1 year of experience working with and demonstrating knowledge of data governance, data quality management concepts and data quality tools (i.e. Informatica DQ)
Skills
- Python
- R
- Spark
- SQL
- Snowflake
- AWS
- Informatica DQ
- Agile
- Lean
- Six Sigma
Location
- McLean, VA
- New York, NY
Work Type
- Hybrid
Experience Level
- Senior
- At least 2 years of experience performing data analytics
- At least 1 year of experience working with at least one scripting language
- At least 1 year of experience utilizing business intelligence visualization tool
- At least 1 year of experience querying, analyzing and working with data languages and platforms
- At least 2 years of experience coding in Python, R, Spark, or SQL
- At least 2 years of experience working within process management and improvement methodologies
- At least 1 year of experience utilizing and developing within AWS services
- At least 1 year of experience working with and demonstrating knowledge of data governance, data quality management concepts and data quality tools
Education Level
- Bachelor’s Degree in quantitative field (Statistics, Economics, Operations Research, Analytics, Mathematics, Computer Science or a related quantitative field)
- Master’s Degree in a Science, Technology, Engineering, Mathematics discipline
Salary/Compensations
- McLean, VA: $111,200 - $126,900
- New York, NY: $121,300 - $138,400
Benefits
- Comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being.
About the Company
- 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.
Equal Opportunity
- 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.