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

Capital One•Richmond, VA

34d•$99,100 - $124,400

About The Position

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.

Requirements

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
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)

Nice To Haves

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)
Be experienced utilizing and developing within AWS services

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 and 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