Job Title:

Manager, Data Engineering / Analytics & Business Analysis

Overview:

Overview:
Mastercard is the global technology company behind the world’s fastest payments processing network. We are a vehicle for commerce, a connection to financial systems for the previously excluded, a technology innovation lab, and the home of Priceless®. We ensure every employee can be a part of something bigger and change lives. We believe as our company grows, so should you. We believe in connecting everyone to endless, priceless possibilities.

Role:

As a business analyst in the Program Office/Program Operations Team, you will develop data & analytics solutions that sit atop vast datasets gathered by Operational Applications in support of the Technology Division and broader enterprise. The challenge will be to create high-performance algorithms, cutting-edge analytical techniques and intuitive workflows that allow our users to derive insights from big data that in turn drive their businesses.

All About you:
• Knowledge in data engineering, with a strong background in ETL architecture, and data modeling.
• Working closely with data scientists and analysts to provide clean, accessible data for analysis.
• Proficiency in performance tuning across databases, ETL jobs, and SQL scripts.
• Skilled in enterprise metrics/monitoring using tools like Splunk, Grafana, Domo, SMSS, Other BI Related Tools
• Data-driven analytical mindset with a proven problem-solving track record.
• Agile methodologies experience.
• Proven track record in collaborating with cross-functional teams, stakeholders, and senior management
• Experience triaging, troubleshooting, and resolving technical issues to prevent & reduce consumer downtime.
• Bachelor’s degree in Computer Science, Software Engineering, or a related field. Equivalent practical experience will be considered.
• Ability to guide, mentor, and build skillset of junior team members. Advising on best practices and solution to blockers.
• Desire to drive for automation to reduce manual toil/risk for continuous data consumption/Always-on reporting
• Excellent written and verbal communication skills with the ability to convey complex technical concepts to a diverse audience.
• Ability to deal with multiple and competing priorities, structure and manage work streams, and set clear expectations and deadlines.