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

Capital One

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profile Job Location:

McLean, MD - USA

profile Monthly Salary: $ 109000 - 124400
Posted on: 12 hours ago
Vacancies: 1 Vacancy

Job Summary

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 simplebring 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 teammates unique talents experience and contributions.

In GWS our team manages a diverse portfolio of mixed-use owned and leased properties. Were constantly transforming our workplace to enable our employees to work the way they work best. But it doesnt stop there. We dont 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 communitywere a well-oiled machine! Thats 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:

  • Bachelors 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:

  • Masters 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: $109000 - $124400 for Sr. Data Analyst


Richmond VA: $99100 - $113100 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 candidates 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 theCapital 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 Citys Fair Chance Act; Philadelphias 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- or via email at . 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 Ones recruiting process please send an email to

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).


Required Experience:

Senior IC

Sr. Associate - Senior Data Analyst - Workplace Analytics Global Workplace ServicesAt Capital One we dare to dream disrupt and deliver a better way. Our goal is simplebring ingenuity simplicity and humanity to an industry ripe for change. Our Global Workplace Services (GWS) team is a dynamic organiz...
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Key Skills

  • Databases
  • Data Analytics
  • Microsoft Access
  • SQL
  • Power BI
  • R
  • Tableau
  • Data Management
  • Data Mining
  • SAS
  • Data Analysis Skills
  • Analytics