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Capital One · 1 month ago

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

McLean, VA

Full-time

Onsite

Mid, Senior Level

$109K/yr - $124K/yr

5+ years exp

Capital One is a company focused on bringing ingenuity and humanity to the financial industry. They are seeking a Senior Data Analyst to leverage analytical and technical skills to innovate and maintain data solutions that address business challenges within their Global Workplace Services team.

BankingCredit CardsFinanceFinancial Services

Comp. & Benefits

No H1B

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

Qualification

Data analysisPythonAWS servicesBusiness intelligence toolsData governanceProcess improvementCommunication skillsCollaborationProblem-solving

Required

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

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

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)