Mastercard is actively recruiting for the role of Analyst, Data Strategy, based in Gurgaon. This position is tailored for fresh graduates, welcoming applicants from diverse educational backgrounds. It presents an exciting opportunity for individuals eager to embark on their professional journey in data analysis within a renowned organization like Mastercard.
Company Name: Mastercard
Job Role: Analyst, Data Strategy
Education Required: Any Graduate
Experience Required: Freshers
Job Location: Gurgaon
Role and Responsibilities:
- 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.
- Solution 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.
- Develop and implement MC Tech data pipelines that extract, transform, and load data into an information product that supports organizational strategic goals.
Required Skills and Qualifications:
- 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.
