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Capital One

Senior Data Analyst - Emerging Payments

Job Posted 18 Days Ago Posted 18 Days Ago
Hybrid
3 Locations
99K-136K Annually
Mid level
Hybrid
3 Locations
99K-136K Annually
Mid level
As a Senior Data Analyst, you'll leverage analytic skills to innovate data solutions, support digital payment strategies, and provide business intelligence insights.
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Senior Data Analyst - Emerging Payments
As a Senior Data Analyst at Capital One, you will leverage analytic and technical skills to innovate and build well-managed data solutions and capabilities to tackle problems in the digital payments space. You will team with world-class professionals to test marketing strategies that ultimately impact the bottom line. You will support new digital payment experiences, executing marketing strategies and monitoring performance, and run experiments for new features and experiences. And you will do it all in a collaborative environment that encourages you to take on new responsibility, promotes continuous learning, and rewards innovation.
This role is for the Strategy & Analytics team within the Emerging Payments organization. The Emerging Payments organization develops innovative digital payment capabilities and experiences for Capital One customers, including digital wallets, virtual card numbers, and merchant checkout experiences. The Emerging Payments Strategy & Analytics team drives all of the analytical and strategic work across the organization by generating insights that help us understand our products and customers, and enable data-driven decision-making for long term success.
On any given day you will be challenged by three types of work - Innovation, Business Intelligence and Data Management:
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)
  • Strong desire and experience with data in various forms (data warehouses/SQL, unstructured data)
  • Experience utilizing and developing within Snowflake 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 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
  • Preferred Qualifications:
    • 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)


Capital One will consider sponsoring a new qualified applicant for employment authorization for this position.
The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked.
McLean, VA: $109,000 - $124,400 for Sr. Data Analyst
New York, NY: $118,900 - $135,700 for Sr. Data Analyst
Richmond, VA: $99,100 - $113,100 for Sr. Data Analyst
Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate's offer letter.
This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan.
Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website . Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level.
This role is expected to accept applications for a minimum of 5 business days.
No agencies please. Capital One is an equal opportunity employer committed to diversity and inclusion in the workplace. All qualified applicants will receive consideration for employment without regard to sex (including pregnancy, childbirth or related medical conditions), race, color, age, national origin, religion, disability, genetic information, marital status, sexual orientation, gender identity, gender reassignment, citizenship, immigration status, protected veteran status, or any other basis prohibited under applicable federal, state or local law. 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.
If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1-800-304-9102 or via email at RecruitingAccommodation@capitalone.com . All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations.
For technical support or questions about Capital One's recruiting process, please send an email to Careers@capitalone.com
Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site.
Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).

Top Skills

AWS
Informatica Dq
Python
R
Snowflake
Spark
SQL

Capital One New York, New York, USA Office

With locations in the heart of Manhattan, as well as on Long Island, there’s a workspace to fit everyone. We have two locations in the Flatiron district, on 5th Ave and W 19th St, convenient for an easy commute. Our 299 Park Ave location is just a few blocks from Grand Central Station.

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