2 - 8 years
16 - 21 Lacs
Pune
Posted:2 months ago|
Platform:
Work from Office
Full Time
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
Dynamic Yield By Mastercard
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