Senior Data Analyst - Enterprise Marketing and Messaging Analytics
Listed on 2026-07-09
-
IT/Tech
Data Analyst, Data Engineering, Data Warehousing
Senior Data Analyst - Enterprise Marketing and Messaging Analytics
At Capital One, data is at the center of everything we do. As a Data Analyst 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 by three types of work – Innovation, Business Intelligence and Data Management.
Responsibilities- 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.
Basic Qualifications
- 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 a 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.
- Or currently has, or is in the process of obtaining a Master’s Degree with an expectation that required degree will be obtained on or before the scheduled start date.
- At least 1 year of experience working with at least one scripting language.
- At least 1 year of experience utilizing a business intelligence visualization tool.
- At least 1 year of experience querying, analyzing, and working with data languages and platforms.
Preferred Qualifications
- Master’s Degree in a Science, Technology, Engineering, Mathematics discipline.
- At least 2 years of experience coding in Python, R, Spark, or SQL.
- At least 2 years of experience working within process management and improvement methodologies – Agile, Lean, Six Sigma, etc.
- At least 1 year of experience utilizing and developing within AWS services.
- At least 1 year of experience working with and demonstrating knowledge of data governance, data quality management concepts and data quality tools (e.g., Informatica DQ).
Salary ranges by location:
- McLean, VA: $111,200 – $126,900
- Richmond, VA: $101,100 – $115,400
- Chicago, IL: $101,100 – $115,400
Performance‑based incentive compensation may include cash bonuses and/or long‑term incentives. Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well‑being.
Equal Opportunity EmployerCapital One is an equal opportunity employer (EOE, including disability/veterans) committed to non‑discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug‑free workplace.
Background CheckCapital 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, Article 23‑A of the New York Correction Law;
San Francisco, California Police Code Article 49, Sections
4901‑4920;
New York 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.
(If this job is in fact in your jurisdiction, then you may be using a Proxy or VPN to access this site, and to progress further, you should change your connectivity to another mobile device or PC).