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Sr. Associate - Senior Data Analyst - Workplace Analytics, Global Workplace Services

Capital One
United States, Virginia, Richmond
Nov 19, 2025
Sr. Associate - Senior Data Analyst - Workplace Analytics, Global Workplace Services

At Capital One, we dare to dream, disrupt and deliver a better way. Our goal is simple-bring ingenuity, simplicity and humanity to an industry ripe for change. Our Global Workplace Services (GWS) team is a dynamic organization where development matters as much as our ability to provide collaborative and secure environments that drive connection, innovation and business success. Our commitment extends beyond solutions; it embraces a culture of care. We value, celebrate and respect each teammate's unique talents, experience, and contributions.

In GWS, our team manages a diverse portfolio of mixed-use owned and leased properties. We're constantly transforming our workplace to enable our employees to work the way they work best. But it doesn't stop there. We don't just reimagine and create fabulous spaces and amenities, we also manage and operate them and ensure the safety and security of our employees and the community-we're a well-oiled machine! That's why our team is looking to add a Senior Data Analyst.

As a Senior Data Analyst in GWS, you will leverage analytic and technical skills to innovate, build, and maintain well-managed data solutions and capabilities to tackle business problems. On any given day you will be challenged on three types of work - Innovation, Business Intelligence and Data Management.

An Ideal Candidate Would Possess:

  • Demonstrate proficiency in the knowledge, skills, and insight required in role
  • Have a strong ability to use data to tell compelling stories that drive action
  • Be able to communicate clearly, concisely, and with sufficient detail/context to various audiences, including senior executives
  • Positively reflect the GWS brand when interacting with customers
  • Offers opinions and ideas to immediate team to help improve work processes and products Understands key drivers behind assigned tasks
  • Understand expectations to prioritize tasks effectively and keep others informed
  • Leverage data analysis to Investigates the root cause of issues to develop solutions
  • Be collaborative and contribute to team deliverables
  • Have expertise in a Science, Technology, Engineering, Mathematics discipline
  • Have scripting experience in (Python, R, Spark, and SQL)
  • Possess a passion in working in various forms of data (data warehouses/SQL, unstructured data)
  • Be experienced utilizing and developing within AWS services

Key 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 and data management
  • 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

Basic Qualifications:

  • Bachelor's Degree in a Science, Technology, Engineering, or Mathematics discipline
  • At least 5 years of experience in data analytics
  • At least 1 years of experience in at least one scripting language
  • At least 1 years of experience utilizing a business intelligence visualization tools
  • At least 1 years of experience in querying and 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)

At this time, Capital One will not sponsor a new 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 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 (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.

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).

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