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Dynamic Yield By Mastercard
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Senior Analyst, Data Strategy

Job Expired: This job listing has expired.

Senior Analyst, Data Strategy

Dynamic Yield By Mastercard

2 - 6 years

16 - 21 Lacs

Gurgaon

Posted:5 months ago| Platform:

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Skills Required

Linux Data management Information security Machine learning J2Ee Data quality Unix shell scripting SQL Python Data architecture

Work Mode

Work from Office

Job Type

Full Time

Job Description

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.
Experience with streaming frameworks like Kafka and Axon and pipelines like Nifi, 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.

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