Senior Data Analyst

Capital One • McLean, VA

10d • $101,100 - $126,900 • Hybrid

About The Position

At Capital One, data is central to the company’s data-driven decision-making. The Senior Data Analyst will use analytical and technical skills to innovate, build, and maintain well-managed data solutions and capabilities that address business problems. The work spans innovation, business intelligence, and data management.

In innovation, the analyst uses open-source and digital technologies to mine complex, high-volume, and varied data sources and platforms; builds well-managed solutions, tools, and capabilities that enable self-service for data consumers; and explores new technologies to advance initiatives. In business intelligence, the analyst partners with business teams to translate needs into tools, techniques, metrics, and dashboards, and conducts analysis that yields meaningful insight into business strategies. In data management, the analyst promotes data quality practices involving metadata, lineage, and business definitions; works with technology teams on security and data-access governance; and builds and runs tools to monitor and report data quality.

This is a hybrid position, with required on-site presence at the designated office under Capital One’s hybrid policy. The role is eligible for performance-based incentive compensation, which may include cash bonuses and/or long-term incentives. The stated full-time annual salary ranges are $111,200–$126,900 in McLean, Virginia, and $101,100–$115,400 in Richmond, Virginia. Salary for other locations follows the applicable location range. Capital One offers health, financial, and other benefits; eligibility varies by employment status and other factors.

Requirements

• Currently has or is pursuing a bachelor’s degree in a quantitative field (such as Statistics, Economics, Operations Research, Analytics, Mathematics, Computer Science, or a related quantitative field) and at least 2 years of data analytics experience; alternatively, currently has or is pursuing a master’s degree, with the required degree expected by the scheduled start date.
• At least 1 year of experience working with at least one scripting language.
• At least 1 year of experience using a business intelligence visualization tool.
• At least 1 year of experience querying, analyzing, and working with data languages and platforms.
• The ideal candidate has a degree specialized in a Science, Technology, Engineering, or Mathematics discipline.
• The ideal candidate has scripting experience in Python, R, Spark, and SQL.
• The ideal candidate has a strong desire for and experience with data in various forms, including data warehouses/SQL and unstructured data.
• The ideal candidate has experience using and developing within Snowflake services.

Nice To Haves

• Master’s degree in a Science, Technology, Engineering, or Mathematics discipline.
• At least 2 years of experience coding in Python, R, Spark, or SQL.
• At least 2 years of experience working with process management and improvement methodologies such as Agile, Lean, or Six Sigma.
• At least 1 year of experience using 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 such as Informatica DQ.

Responsibilities

• Use open-source and digital technologies to mine complex, voluminous, and varied data sources and platforms.
• Build well-managed data solutions, tools, and capabilities that enable self-service frameworks for data consumers.
• Explore and quickly learn new technologies to advance varied initiatives.
• Partner with business teams to translate business needs into tools, techniques, metrics, and dashboards for insights and data visualization.
• Drive analysis that provides meaningful insights on business strategies.
• Promote understanding and adherence to data quality principles, including metadata, lineage, and business definitions.
• Collaborate with technology teams to manage security mechanisms and data-access governance.
• Build and execute tools to monitor and report on data quality.

Benefits

• Comprehensive health, financial, and other benefits supporting total well-being; eligibility varies by employment status, exempt/non-exempt status, and management level.
• Performance-based incentive compensation, potentially including cash bonuses and/or long-term incentives.

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level