Senior Data Analyst - Commercial

About the Role

At Capital One, data is at the center of everything we do. As a Data Analyst, you will leverage analytic and technical skills to innovate, build, and maintain well-managed data solutions and capabilities to tackle business problems. Your work will span three key areas: Innovation, Business Intelligence, and Data Management.

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.
  • Explore and quickly grasp new technologies to progress varied initiatives.
• Business Intelligence:
  • Partner with the business to provide consultancy and translate business needs into tools, techniques, metrics, and dashboards for insights and data visualization.
  • Drive analysis that provides meaningful insights on business strategies.
• Data Management:
  • Drive understanding and adherence to data quality management principles, including metadata, lineage, and business definitions.
  • Collaborate with Tech teams to manage security mechanisms and data access governance.
  • Build and execute tools to monitor and report on data quality.

Qualifications

• Degree specialized in a Science, Technology, Engineering, Mathematics (STEM) 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.

Basic Qualifications

• 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 related) 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 the 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 a business intelligence visualization tool.
• At least 1 year of experience querying, analyzing, and working with data languages and platforms.

Preferred Qualifications

• Master’s Degree in a STEM 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 data governance, data quality management concepts, and data quality tools (e.g., Informatica DQ).

Pay

The minimum and maximum full-time annual salaries for this role are:

• McLean, VA: $111,200 - $126,900 for Sr. Data Analyst
• New York, NY: $121,300 - $138,400 for Sr. Data Analyst

Salaries for part-time roles will be prorated based on the agreed-upon number of hours. Candidates hired in other locations will be subject to the pay range associated with that location. This role is also eligible for performance-based incentive compensation, including cash bonuses and/or long-term incentives (LTI).