Data Strategy Analyst Job in Gurgaon at Mastercard

Mastercard is hiring for the role of Data Strategy Analyst!

Responsibilities of the Candidate:

• Support the processes for improving and expanding merchant data, including address standardization, geocoding, and incorporating new merchant data sources to assist in improvements.
• Assess quality issues in merchant data, transactional data, and other critical data sets. Support internal and external feedback loops to improve data submitted through the transaction data stream.
• Solve and present data challenges in a manner suitable for product and business understanding. Provide subject matter expertise on merchant data for the organization’s product development efforts.
• Coordinate with MC Tech to develop DQ remediation requirements for core systems, data warehouse, and other critical applications. Manage corresponding remediation projects to ensure successful implementation.
• Lead organization-wide awareness and communication of data quality initiatives and remediation activities, ensuring seamless implementation.
• Coordinate with critical vendors to manage project timelines and achieve quality deliverables.
• Develop and implement MC Tech data pipelines that extract, transform, and load data into an information product that supports organizational strategic goals.
• Implement new technologies and frameworks as per project requirements.

Requirements;

• Hands-on experience managing technology projects with a demonstrated ability to understand complex data and technology initiatives
• Ability to lead and influence others to advance deliverables
• Understanding of emerging technologies including but not limited to, cloud architecture, machine learning/AI, and Big Data infrastructure
• Data architecture experience and experience in building data models
• Experience deploying and working with big data technologies like Hadoop, Spark, and Sqoop
• Proficient in OO programming (Python Java/Springboot/J2EE, and Scala)
• Experience with the Hadoop Ecosystem (HDFS, Yarn, MapReduce, Spark, Hive, Impala)
• Experience with Linux, Unix command line, Unix Shell Scripting, SQL, and any Scripting language
• Experience with data visualization tools such as Tableau, Domo, and/or PowerBI is a plus
• Experience presenting data findings in a readable and insight-driven format. Experience building support decks