Senior Analyst, Big Data Analytics @ Mastercard

Job Description

Job Title: Senior Analyst, Big Data Analytics & Engineering Overview: Who is Mastercard Our decency quotient, or DQ, drives our culture and everything we do inside and outside of our company. With connections across more than 210 countries and territories, we are building a sustainable world that unlocks priceless possibilities for all. Our Team: The AI & DPE Platform services team is responsible for product management and innovative product development of products and services to address the evolving risk and security needs of all of Mastercards various customer segments. Product Services team in AI & DPE focuses on defining the strategic direction for underlying platforms to enable the successful implementation of real-time, data-driven innovative products and services focused on network, security, fraud, digital identity and authentication. The team is responsible to look across all the products/services across C&I and drive efficiency, re-usability and increase speed to market for our products and services. The candidate for this position will focus on Data engineering, Data Unification across different data assets, enabling a single unified view of data from multiple sources and support the development of new innovative data driven cyber products, services and actionable insights. The Role: We are seeking a Senior Analyst/Data Engineer, Big Data Analytics & Engineering who will: Perform data ingestion, aggregation, processing to drive and enable relevant insights from available data sets. Partner with various teams (i.e., Product Manager, Data Science, Platform Strategy, Technology) on data needs/requirements in order to deliver data solutions that generate business value. Manipulate and analyze complex, high-volume, high-dimensionality data from varying sources using a variety of tools and data analysis techniques. Identify innovative ideas and deliver proof of concepts, prototypes to deliver against the existing and future needs and propose new products, services and enhancements. Integrate new data assets which increase the value proposition for our customers and enhance our existing solutions and services. Analyse large volumes of transaction and product data to generate insights and actionable recommendations to drive business growth Collect and synthesize feedback from clients, development, product and sales teams for new solutions or product enhancements. Apply knowledge of metrics, measurements, and benchmarking to complex and demanding solutions. All about You Good understanding of Python Pandas, Numpy, PySpark and Impala. Experience in doing data analysis and extraction on Hadoop. Experience with Enterprise Business Intelligence Platform/Data platform. Strong SQL and higher-level programming languages with solid knowledge of data mining, machine learning algorithms and tools Experience with data integration tools ETL/ELT tools (i.e. Apache NiFi, Azure Data Factory, Pentaho, Talend) Experience in hands-on data modeling, programming, querying, data mining and report development using large volumes of granular data to deliver business intelligence and custom reporting solutions. Exposure to collecting and/or working with data including standardizing, summarizing, offering initial observations and highlighting inconsistencies. Strong understanding of the application of analytical methods and data visualization to support business decisions. Ability to understand complex operational systems and analytics/business intelligence tools for the delivery of information products and analytical offerings to a large, global user base. Able to work in a fast-paced, deadline-driven environment as part of a team and as an individual contributor Ability to easily move between business, analytical, and technical teams and articulate solution requirements for each group,

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Keyskills:   Python Numpy Impala SQL Data Mining Pentaho Talend Data Modeling Data Visualization Pandas Azure Data Factory