Senior Data Analyst - Global Payment Network, Counterparty Restitution

Senior Data Analyst - Global Payment Network, Counterparty Restitution

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 Counterparty Restitution team within Discover's Global Payment Network drives analyses to help key stakeholders understand the assumptions and mechanics of the gross methodology, which is the methodology used to calculate restitution amount. The team works closely with CRP Strategy team, direct settlement team and execution team to provide data insights to firm up the key operational considerations of the program, including determine opt-out settlement amounts and support MID allocation requirements and MID allocation data model. The CRP team also collaborates with data management team define data layer requirements to track KPIs related to counterparty restitution. As the data solution-er for restitution, CRP team will create visualized monitoring reports to track key metrics for restitution and monitor the payment amount, as well as develop self-service dashboards including merchant overview and gap analysis to provide business partners the analytics insights.

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

 

Our ideal candidate will have:

• 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

Basic Qualifications

• 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 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 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, Si