Analyst, Data Strategy
Gurgaon, India (Mastercard Advisors India)
Mastercard
Wir verbinden und fördern eine integrative, digitale Wirtschaft, von der Menschen, Unternehmen und Regierungen weltweit profitieren, indem wir Transaktionen sicher, einfach und zugänglich machen.Our Purpose
We work to connect and power an inclusive, digital economy that benefits everyone, everywhere by making transactions safe, simple, smart and accessible. Using secure data and networks, partnerships and passion, our innovations and solutions help individuals, financial institutions, governments and businesses realize their greatest potential. Our decency quotient, or DQ, drives our culture and everything we do inside and outside of our company. We cultivate a culture of inclusion for all employees that respects their individual strengths, views, and experiences. We believe that our differences enable us to be a better team – one that makes better decisions, drives innovation and delivers better business results.
Title and Summary
Analyst, Data StrategyOverview:The Data Quality team in the Data Strategy & Management organization (Chief Data Office) is responsible for developing and driving Mastercard’s core data management program and broadening its data quality efforts. This team ensures that Mastercard maintains and increases the value of Mastercard’s data assets as we enable new forms of payment, new players in the ecosystem and expand collection and use of data to support new lines of business.
he Enterprise Data Quality team for is responsible for ensuring data is of the highest quality and is fit for purpose to support business and analytic uses. The team works to identify and prioritize opportunities for data quality improvement, develops strategic mitigation plans and coordinates remediation activities with MC Tech and the business owner.
Role:
• Support the processes for improving and expanding merchant data, including address standardization, geocoding, 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 loop 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.
• 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 with MC Tech data pipelines that extracts, transforms, and loads data into an information product that supports organizational strategic goals
• Implement new technologies and frameworks as per project requirements
All about you
• Hands-on experience managing technology projects with 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.
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.
* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰
Tags: Architecture Big Data Data management Data pipelines Data quality Data strategy Data visualization Data warehouse Hadoop HDFS Java Linux Machine Learning Pipelines Power BI Python Scala Security Shell scripting Spark SQL Tableau
Perks/benefits: Career development Team events
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