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

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<