Senior Data Analyst at Capital One leveraging data analysis to drive strategic business direction and sustainable performance. Collaborating across teams to innovate, build, and maintain data solutions.
Responsibilities
Work in a department that invests in ways to tell stories, view trends, and diagnose results
Partner with business customers on driving strategic business direction that leads to sustainable performance
Challenge current well-managed processes to be more proactive, effective and efficient
Perform data analysis in an Agile environment
Collaborate with Tech, Product, Business and Data Professionals to build reports and provide data capability for regulatory requirements
Perform reporting, analysis and data validations to support presentation, predictive modeling and ad-hoc requests
Leverage analytic and technical skills to innovate, build, and maintain well-managed data solutions and capabilities
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
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
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 Snowflake services
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
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