Senior Data Analyst (Financial Services)
Job Description
Join Capital One in Plano, TX (onsite) and use your analytic and technical skills to build and maintain well-managed data solutions that support real business outcomes. This Senior Data Analyst role focuses on Innovation, Business Intelligence, and Data Management, with the goal of turning complex data into actionable insights through tools, dashboards, and strong data quality practices.
Salary: USD 101,100 - 115,400 per year. Experience: 2+ years. Work style: onsite in Plano, TX.
What you’ll do
- Use Open Source and digital technologies to mine complex, high-volume, and varied data sources and platforms
- Build well-managed data solutions, tools, and capabilities that support self-service for data consumers
- Explore and quickly ramp on new technologies to advance multiple initiatives
- Partner with business stakeholders to translate needs into tools, techniques, metrics, and data visualizations
- Conduct analysis that informs business strategy with meaningful insights
- Promote adherence to data quality management principles, including metadata, lineage, and business definitions
- Work with relevant Tech teams to manage security mechanisms and data access governance
- Build and execute monitoring and reporting tools for data quality
What you’ll bring
- A degree specialized in a Science, Technology, Engineering, Mathematics discipline
- Scripting experience with Python, R, Spark, and SQL
- Experience working with data in multiple forms, including data warehouses/SQL and unstructured data
- Experience utilizing and developing within AWS services
- Currently has, or is in the process of obtaining, a Bachelor’s degree in a quantitative field plus at least 2 years of data analytics experience, or has, or is in the process of obtaining, a Master’s degree with the expectation it will be obtained on or before the scheduled start date
- At least 1 year of experience 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
Technologies you’ll work with
- Python, R, Spark, SQL
- AWS
Benefits
- A comprehensive, competitive, and inclusive set of health, financial, and other benefits that support total well-being
- Performance-based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI)
Incentives and eligibility notes
This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term I. Incentives could be discretionary or non discretionary depending on the plan.
Additional consideration
- Master’s degree in a STEM discipline
- 2+ years coding in Python, R, Spark, or SQL
- 2+ years working with process management and improvement methodologies (Agile, Lean, Six Sigma, etc.)
- 1+ year using and developing within AWS services
- 1+ year experience with data governance and data quality management concepts and tools (for example, Informatica DQ)
Accommodation notice
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