> Markdown version of [/jobs/ext/3034237-principal-associate-data-analyst-enterprise-risk](https://www.wearedevelopers.com/jobs/ext/3034237-principal-associate-data-analyst-enterprise-risk). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Principal Associate, Data Analyst - Enterprise Risk - **Company:** Capital One Financial Corporation - **Location:** Plano, TX, United States - **Experience:** Experienced - **Salary:** $119,400.0 - $136,200.0 - **Contract:** Permanent contract - **Skills:** Agile Methodology, Amazon Web Services, Data Analysis, Data Governance, Data Security, Data Systems, Data Visualization, Data Warehousing, Relational Databases, R (Programming Language), Python (Programming Language), Metadata, Open Source Technology, Standard Sql, SQL Databases, Unstructured Data, Scripting, Apache Spark, Information Technology, Data Analytics, Data Management - **Published:** September 23, 2026 - **Apply:** https://dejobs.org/x/x/35C367E6927041FABC16BD6C2C1208CF/job/ ## About the Role * 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 AWS 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 5 years of experience performing data analytics, or, a Master's Degree plus at least 3 years performing data analytics with an expectation that required degree will be obtained on or before the scheduled start date. * At least 3 years of experience working with at least one scripting language * At least 3 years of experience utilizing a business intelligence visualization tool * At least 3 years of experience in querying, analyzing and working with data languages and platforms, * Master's Degree in a Science, Technology, Engineering, Mathematics discipline * At least 4 years of experience coding in Python, R, Spark, or SQL * At least 4 years of experience working within process management and improvement methodologies - Agile, Lean, Six Sigma, etc. * At least 2 years of experience utilizing and developing within AWS services * At least 2 years of experience delivering Data Governance and Data Quality Management concepts and practices within the financial services industry ## Description At Capital One, data is at the center of everything we do. When we launched as a startup we disrupted the credit card industry by individually personalizing every credit card offer using statistical modeling and the relational database, cutting edge technology in 1988! Fast-forward a few years, and this little innovation and our passion for data has skyrocketed us to a Fortune 200 company and a leader in the world of data-driven decision-making. As a Data Analyst at Capital One you will leverage analytic and technical skills to innovate, build, and maintain well-managed data solutions and capabilities to tackle business problems. On any given day you will be challenged on three types of work - Innovation, Business Intelligence and Data Management: Innovation * 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 * Demonstrate ability to explore and quickly grasp new technologies to progress varied initiatives Business Intelligence * Partner with the business to provide consultancy and translate the business needs to design and develop 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 appropriate Tech teams to manage security mechanisms and data access governance * Build and execute tools to monitor and report on data quality ## Related Videos - [From Messy Queries to Scalable Systems - How Data Engineering actually works](https://www.wearedevelopers.com/videos/100203-from-messy-queries-to-scalable-systems-how-data-engineering-actually-works) - [A Data Mesh needs Open Metadata](https://www.wearedevelopers.com/videos/505-a-data-mesh-needs-open-metadata) - [JavaScript? No. Java Scripts! - Scripting with Java](https://www.wearedevelopers.com/videos/2094-javascript-no-java-scripts-scripting-with-java) - [The Missing Layer Between Enterprise Data and AI Agents](https://www.wearedevelopers.com/videos/100286-the-missing-layer-between-enterprise-data-and-ai-agents) - [Modern Data Architectures need Software Engineering](https://www.wearedevelopers.com/videos/1030-modern-data-architectures-need-software-engineering) - [Crafting Custom Frameworks with Rust: A Deep Dive into Procedural Macros](https://www.wearedevelopers.com/videos/849-crafting-custom-frameworks-with-rust-a-deep-dive-into-procedural-macros) ## Related Articles - [Data Analyst Salary in the UK](https://www.wearedevelopers.com/magazine/278-data-analyst-salary-in-the-uk) - [Coffee with Developers - Maria Apazoglou - Making AI understandable for all in production](https://www.wearedevelopers.com/magazine/475-coffee-with-developers-maria-apazoglou-making-ai-understandable-for-all-in-production) - [Top Big Data Technologies That You Need to Know](https://www.wearedevelopers.com/magazine/108-top-big-data-technologies-that-you-need-to-know) - [Data Analyst Salary in Switzerland](https://www.wearedevelopers.com/magazine/276-data-analyst-salary-in-switzerland) - [Highest Paying Tech Companies for Developers](https://www.wearedevelopers.com/magazine/220-highest-paying-tech-companies-for-developers) - [Making Data Warehouses Fast: A Developer’s Story](https://www.wearedevelopers.com/magazine/107-making-data-warehouses-fast-a-developer-s-story)