Principal Associate, Data Analyst - Enterprise RiskCapital One • Virginia, Minnesota, United States

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Principal Associate, Data Analyst - Enterprise Risk

Capital One

Virginia, Minnesota, United States

Virginia, Minnesota, United States

Jetzt Bewerben

Über

Role Overview Principal Associate, Data Analyst - Enterprise Risk at Capital One. As a Data Analyst you will leverage analytic and technical skills to innovate, build, and maintain well‑managed data solutions to tackle business problems across Innovation, Business Intelligence and Data Management. Responsibilities Innovation – Use open‑source/digital technologies to mine complex, voluminous, and diverse 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 business to provide consultancy and translate needs into the design and development of 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 tech teams to manage security mechanisms and data access governance; build and execute tools to monitor and report on data quality. Qualifications Education – Currently has, or is in the process of obtaining, a Bachelor’s Degree in a quantitative field (Statistics, Economics, Operations Research, Analytics, Mathematics, Computer Science, or related) OR a Master’s Degree with at least 3 years performing data analytics, with the requirement that the degree be obtained before the scheduled start date. Experience – At least 5 years performing data analytics, or at least 3 years with a Master’s Degree, working with at least one scripting language (Python, R, Spark, SQL); at least 3 years utilizing a business intelligence visualization tool; at least 3 years working with data languages and platforms. Scripting & Tools – Proficient 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. Preferred – Master’s Degree in a STEM discipline; minimum 4 years coding in Python, R, Spark, or SQL; minimum 4 years working within process management and improvement methodologies (Agile, Lean, Six Sigma, etc.); minimum 2 years experience delivering Data Governance and Data Quality Management concepts within the financial services industry. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non‑discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug‑free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article23-A of the NewYork Correction Law; SanFrancisco, California Police Code Article49, Sections4901‑4920; NewYork City’s Fair Chance Act; Philadelphia’s Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries.
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Virginia, Minnesota, United States

Sprachkenntnisse

English

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