Principal Associate, Data Analyst - Enterprise Risk

Capital One; McLean (VA); On-site; USD 80,000 - 110,000; Full time

Job summary

Capital One is seeking a Principal Associate, Data Analyst in McLean, Virginia. In this role, you will leverage analytic and technical skills to innovate and maintain data solutions for business problems across various sectors. You'll partner with the business to provide analytical insights and develop tools for data visualization.

Ideal candidates will have a Bachelor's Degree in a quantitative field or a Master’s Degree along with at least 3 years of relevant data analytics experience. Strong scripting abilities in Python, R, and SQL are essential, as well as experience with business intelligence tools.

Qualifications

• 5 years of data analytics experience or 3 years with a Master's Degree.
• Strong proficiency in Python, R, Spark, and SQL.
• Experience with business intelligence visualization tools.

Responsibilities

• Innovate with open-source technologies to mine data sources.
• Partner with business to translate needs into data tools.
• Manage data quality and security mechanisms.

Skills

Data analytics

Python

R

SQL

Business Intelligence

Spark

AWS services

Education

Bachelor's Degree in a quantitative field

Master's Degree in STEM

Job description

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.