Principal Data Analyst - Client Analytics and Marketing Operations; CAMO), PULSE Network
Listed on 2025-11-27
-
IT/Tech
Data Analyst, Data Engineer, Data Science Manager, Data Warehousing
Principal Data Analyst - Client Analytics and Marketing Operations (CAMO), PULSE Network
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.
This role will be hired as a Capital One associate but will play a critical part in project execution and delivery for Discover Financial Services as part of our integration effort.
The Client Analytics and Marketing Operations team (Team CAMO) sits within Discover's PULSE Debit Network and drives profitable growth by managing a portfolio of tools, vendors, partners, and processes with which PULSE conducts marketing campaigns, fulfills industry compliance requirements, and reduces operational risk. Team CAMO captures data for, and shares insights into, our clients' lifecycle journeys so that PULSE Marketing, Sales, and Operations teams are prepared to make data-driven decisions that gain or retain network volume.
As a Principal Data Analyst on Team CAMO, you will collaborate with internal stakeholders to provide recommendations and deliver standard, automated, and ad-hoc reporting and visualizations related to the complexities of our customers' debit transactions. We are looking for a candidate who is passionate about innovating and simplifying how we query data and deliver information.
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
- 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
- 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
- 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,
- 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…
(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).