Data Analyst

About the role

Join Mastercard’s Global Analytics team to help unlock the value of data assets across six continents. You will be the go‑to resource for data analytics, driving data‑driven decision making and building large‑scale analytical capabilities for the organization.

Key responsibilities

• Design, develop, and maintain scalable ETL/ELT pipelines supporting enterprise data and analytics initiatives.
• Build and optimise batch and real‑time data processing solutions using SQL, Python, Spark and related technologies.
• Ensure data availability, accuracy, consistency and reliability across platforms and pipelines.
• Implement data quality controls, testing frameworks, monitoring and observability practices.
• Apply engineering best practices such as version control, CI/CD, DataOps and automated deployments.
• Collaborate with Data Engineers, Data Scientists, Analysts and business stakeholders to translate requirements into scalable solutions.

Required profile

• Hands‑on experience in data engineering, data integration and large‑scale data processing.
• Strong proficiency in SQL and Python for data transformation and automation.
• Solid understanding of data modelling, database design and performance optimisation.
• Experience designing and developing ETL/ELT solutions on modern data platforms.
• Excellent analytical, problem‑solving and communication skills.

Required skills

• SQL
• Python
• Apache Spark / PySpark
• ETL/ELT pipeline development
• Data modelling and database design
• CI/CD tools (e.g., GitLab, Jenkins)
• Data quality frameworks and testing
• Cloud‑based data platforms