Our Vision:
Product Data & Analytics team builds internal analytic partnerships, strengthening focus on the health of the business, portfolio and revenue optimization opportunities, initiative tracking, new product development and Go-To Market strategies. We are a hands-on global team providing scalable end-to-end data solutions by working closely with the business. We influence decisions across Mastercard through data driven insights. We are a team on analytics engineers, data architects, BI developers, data analysts and data scientists, and fully manage our own data assets and solutions.
All About You
• 7-9 years of experience in data management, data mining, data analytics, data reporting, data product development and quantitative analysis.
• Advanced SQL skills, ability to write optimized queries for large data sets.
• Experience on Platforms/Environments: Cloudera Hadoop, Big data technology stack (Hadoop, hive, spark), SQL Server, Microsoft BI Stack, Cloud, Databricks, Pyspark, and other relevant technologies.
• Data visualization tools (Tableau, Domo, and/or Power BI/similar tools) experience is a plus
• Experience in automating and creating data pipeline via tools such as Alteryx, SSIS. Nifi etc.
• Experience with data validation, quality control and cleansing processes to new and existing data sources.
• Experience on Classical and Deep Machine Learning Algorithms like Logistic Regression, Decision trees, Clustering (K-means, Hierarchical and Self-organizing Maps), TSNE, PCA, Bayesian models, Time Series ARIMA/ARMA, Random Forest, GBM, KNN, SVM, Bayesian, Text Mining techniques, Multilayer Perceptron, Neural Networks - Feedforward, CNN, NLP, etc is a plus
• Financial Institution or a Payments experience a plus
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