Description
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.
On any given day, you will be challenged on three types of work – Innovation, Business Intelligence, and Data Management:
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.
- Demonstrate ability to explore and quickly grasp new technologies to progress varied initiatives.
Business Intelligence
- 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.
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.
Requirements:
- 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 AWS services.
Basic Qualifications:
- Currently has, or is in the process of obtaining a Bachelor’s Degree in 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.
- At least 1 year of experience working with at least one scripting language.
- At least 1 year of experience utilizing 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 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).
The minimum and maximum full-time annual salaries for this role are $101,100 - $115,400.
This role is also eligible to earn performance-based incentive compensation, which may include cash bonus(es) and/or long-term incentives (LTI).