Principal Data Analyst - Global Payment Network

About the role

At the Discover Global Payment Network, data is the engine that powers our core platforms and products. As a Principal Associate, Data Analysis within the Platform Operations Tower, you will be one of the architects responsible for transforming massive, high-volume transactional data streams into core analytical assets and insights for various domains.

Responsibilities

• 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
• 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

Requirements

• 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 currently has, or is in the process of obtaining 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

Qualifications

• 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

Skills

• Scripting experience in (Python, R, Spark, and SQL)
• Strong desire and experience with data in various forms (data warehouses/SQL, unstructured data)

Benefits

• Comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being

Pay

• Salaries for Principal Data Analyst positions range from $119,400 - $136,200 for McLean, VA; $119,400 - $136,200 for Richmond, VA; $143,200 - $163,500 for New York, NY; $119,400 - $136,200 for Riverwoods, IL; and $119,400 - $136,200 for Anytown, IL.

Schedule

• Full-time

Benefits

• Drug-free workplace policy
• Equal opportunity employer
• Disability/Veteran friendly