Our decency quotient, or DQ, drives our culture and everything we do inside and outside of our company. With connections across more than 210 countries and territories, we are building a sustainable world that unlocks priceless possibilities for all.

Job Summary:
We are seeking a detail-oriented and motivated Data Analyst to support our Workplace Intelligence Analytics team. As a Data Analyst, you will help with data collection, processing, analysis, and visualization to support business decision-making.

Key Responsibilities:
• Assist in collecting, cleaning, and organizing data from various sources to ensure its accuracy and completeness.
• Perform data analysis to identify trends, patterns, and insights that can inform business strategies.
• Generate reports, dashboards, and visualizations to present key findings to stakeholders.
• Support the design and implementation of data models and structures.
• Collaborate with cross-functional teams to understand data requirements and provide insights for business decisions.
• Assist in developing and maintaining documentation of data processes, methods, and results.
• Contribute to improving data collection and analysis processes.
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Qualifications:
• Bachelor's degree in Computer Science, Engineering, Data Science, or a related field.
• Experience with database management systems or data visualization tools.
• Basic understanding of statistical techniques and data mining.
• Proficiency in designing and implementing data tools, technologies, and processes.
• Expertise in data engineering, ETL/ELT processes, data warehousing, and data modeling.
• Strong command of data integration techniques and data quality management.
• Hands-on experience with data technologies such as Hadoop, Spark, Python, SQL, alteryx, Nifi, SSIS, etc.
• Familiarity with cloud platforms and services, such as AWS, GCP, or Azure.
• Excellent problem-solving skills and ability to provide innovative data solutions.
• Strong leadership skills with a proven track record of guiding and mentoring a team.

All About You:
• 2-5 years of experience in Data Warehouse related projects
• Expertise in Data Engineering and Data Analysis: implementing multiple end-to-end DW projects in Big Data Hadoop environment
• Experience of building data pipelines through Spark with Scala/Python/Java on Hadoop or Object storage
• Experience of working with Databases like MS SQL Server, Oracle and have strong SQL knowledge
• Experience in BI tools like Tableau, PowerBI
• Experience of working on Alteryx, SSIS, NiFi added advantage
• Experience of working on automation in data flow process in a Big Data environment.
• Experience of working in Agile teams
• Strong analytical skills required for debugging production issues, providing root cause and implementing mitigation plan
• Strong communication skills - both verbal and written - and strong relationship, collaboration skills and organizational skills
• Ability to quickly learn and implement new technologies, and perform POC to explore best solution for the problem statement

Corporate Security Responsibility

All activities involving access to Mastercard assets, information, and networks comes with an inherent risk to the organization and, therefore, it is expected that every person working for, or on behalf of, Mastercard is responsible for information security and must:

• Abide by Mastercard's security policies and practices;
• Ensure the confidentiality and integrity of the information being accessed;
• Report any suspected information security violation or breach, and
• Complete all periodic mandatory security trainings in accordance with Mastercard's guidelines.