Data Analyst

At Capital One, data is at the center of everything we do. When we launched as a startup we disrupted the credit card industry by individually personalizing every credit card offer using statistical modeling and the relational database, cutting edge technology in 1988! Today, this innovation and our passion for data has skyrocketed us to a Fortune 200 company and a leader in the world of data-driven decision-making.

About the role

As a Senior Data Analyst at Capital One you will leverage analytic and technical skills to innovate, build, and maintain well-managed data solutions and capabilities to tackle business problems. The Enterprise Data team is focused on maximizing the value of our data ecosystem and enabling real-time, intelligent experiences built on a scalable, future-ready foundation. We are a highly collaborative, cross-functional team working across Product, Technology, Design, Risk, and other partners to build a modern enterprise data ecosystem.

We are looking for an exceptional and innovative Senior Data Analyst to solve complex business and product challenges across our Enterprise Data Product teams. You will lead Product Analytics to measure and improve the performance and health of our Products and Platforms, transforming complex data into actionable, AI-enabled insights that shape product strategy and drive better decisions. If you are a strategic thinker who thrives on solving complex problems and using Data and AI to influence product development, this is an opportunity to make a meaningful impact.

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 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.
• 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.

Requirements

• Currently has, or is in the process of obtaining a Bachelor's Degree in a quantitative field (Statistics, Economics, Operations Research, Analytics, Mathematics, Computer Science or a related quantitative field) plus at least 2 years of experience performing data analytics, or currently has, or is in the process of obtaining a Master's Degree with an expectation that required degree will be obtained on or before the scheduled start date.
• At least 1 year of experience working with at least one scripting language.
• At least 1 year of experience utilizing business intelligence visualization tools.
• At least 1 year of experience querying, analyzing and working with data languages and platforms.

Qualifications

• Degree specialized in a Science, Technology, Engineering, Mathematics discipline.
• Scripting experience in Python, R, Spark, and SQL.
• Strong desire and experience with data in various forms (data warehouses/SQL, unstructured data).
• Experience utilizing and developing within Snowflake services.

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).

Pay

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: $111,200 - $126,900 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.

Benefits

Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level. Learn more at the Capital One Careers website.