Not specified (assumed hybrid based on industry trends)
Python, r, spark, and sql scripting
Data warehouses and sql
Unstructured data analysis
Capital One is seeking a Senior Data Analyst for its Enterprise Services team, focusing on data-driven decision-making and innovative data solutions. The ideal candidate should have a background in quantitative fields and experience with various data analytics tools and scripting languages
Job Summary
Leverage analytic and technical skills to innovate, build, and maintain well-managed data solutions and capabilities to tackle business problems.
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 an understanding and adherence to the principles of data quality management including metadata, lineage, and business definitions.
Matching Summary
Match Score: 85
Capital One is seeking a Senior Data Analyst for its Enterprise Services team, focusing on data-driven decision-making and innovative data solutions. The ideal candidate should have a background in quantitative fields and experience with various data analytics tools and scripting languages.
Salary
McLean, VA: $111,200 - $126,900; Richmond, VA: $101,100 - $115,400; Bonus/Equity: Performance based incentive compensation; Benefits: Comprehensive, competitive, and inclusive set of health, financial and other benefits
Skills & Requirements
Must-have
Python, R, Spark, and SQL scripting
Data warehouses and SQL
Unstructured data analysis
Snowflake services development
Data quality management principles
Data access governance
Nice-to-have
Process management and improvement
Agile, Lean, Six Sigma methodologies
AWS services utilization
Data governance concepts
Data quality tools
Key Requirements
Bachelor’s Degree in quantitative field or Master’s Degree
At least 2 years of data analytics experience
At least 1 year scripting language experience
At least 1 year business intelligence visualization tool experience
At least 1 year querying data languages and platforms