MA

Senior Analyst, Data Strategy

Mastercard

10 months ago

7 - 10 years

Work From Office

Gurgaon, Haryana, Haryana, India

  • Support the processes for improving and expanding merchant data, Implement new technologies and frameworks as per project requirements.
  • Assess quality issues in merchant data, transactional data, and other critical data sets.
  • Develop and implement with MC Tech data pipelines that extracts, transforms, and loads data into an information product that supports organizational strategic goals.
  • Cloud Platforms

    Machine Learning

    Artificial Intelligence (AI)

    Big Data Platforms

    Data Architecture

    Data Modeling

    Big Data Technologies (Hadoop, Spark)

    Kafka

    Apache NiFi

    OOPS

    RESTful API design

    Tableau

    PowerBI

    Job description & requirements

    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.

    Experience :

    7 - 10 years

    Job Domain/Function :

    Data Analytics

    Job Type :

    Work From Office

    Employment Type :

    Full Time

    Number Of Position(s) :

    1

    Educational Qualifications :

    Bachelor's Degree

    Location :

    Gurgaon, Haryana, India, Gurgaon, Haryana, India

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