Data Analyst Ii, Product Data

Há 1 mês


Lisboa, Portugal Mastercard Tempo inteiro

.Our Purpose We work to connect and power an inclusive, digital economy that benefits everyone, everywhere by making transactions safe, simple, smart and accessible. Using secure data and networks, partnerships and passion, our innovations and solutions help individuals, financial institutions, governments and businesses realize their greatest potential. Our decency quotient, or DQ, drives our culture and everything we do inside and outside of our company. We cultivate a culture of inclusion for all employees that respects their individual strengths, views, and experiences. We believe that our differences enable us to be a better team – one that makes better decisions, drives innovation and delivers better business results. Title and Summary Data Analyst II, Product Data & Analytics 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. Role Work closely with global & regional teams to architect, develop, and maintain advanced reporting and data visualization capabilities on large volumes of data to support analytics and reporting needs across products, markets, and services. Translate business requirements into tangible solution specifications and high quality, on time deliverables. Create repeatable processes to support development of ETL, modelling and reporting. Effectively use tools to manipulate large-scale databases, synthesizing data insights. Provide 1st level insights/conclusions/assessments and present findings via Tableau/PowerBI dashboards, Excel, and PowerPoint. Apply quality control, data validation, and cleansing processes to new and existing data sources. All About You 4-6 years' experience in data engineering and 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. Expert in writing stored procedures, functions and views is preferable. Experience on Platforms/Environments: Cloudera Hadoop, Big data technology stack, SQL Server, Microsoft BI Stack, Cloud, Snowflake, and other relevant technologies. Exposure to Python, Scala, Hive, Impala, Spark, Cloud, and other related technologies. Experience in data pipeline creation via tools such as Alteryx, SSIS etc. Advanced knowledge of any of the job scheduling tools such as Apache Airflow, NIFI, and other related tools. Experience with any one of data visualization tools (Tableau, Domo, and/or PowerBI/similar tools). Experience with data validation, quality control and cleansing processes to new and existing data sources



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