Senior Data Engineer
mastercard
Job Description
Support multiple analytics projects and initiatives within GBSC and Mastercard.
• Identify, design and implement data and process automation solutions to support GBSC Operations and the global organization.
• Engage with various Mastercard teams to gather requirements for the projects and execute it End-to-End in individual ontributor capacity.
• Develop new queries and Alteryx flows for extracting, transforming and analysing data to address project requirements.
• Develop Tableau dashboards and reports that adhere to the visualization best practices and communicate a story.
• Participate in drafting documents and presentations for communicating innovations, ideas, or discoveries.
• Contribute to strengthening a motivated, innovative and productive team that creates next generation analytics for the shared services center and Mastercard.
• Generate and implement ideas to continuously improve analytics and reporting services delivery.
• Work closely with analytics community of practice and internal customers (GBSC Operations) to identify short-term and long-term objective alignment.
All About You:
• A minimum of a Bachelors degree in Computer Science, Information Technology, Information Systems, Data Science, Statistics, Applied Mathematics, Business Administration, or any other related field. An equivalent of this requirement in working experience is also acceptable for the position
• A candidate for this position must have had at least 6-7 years of working experience in a data analyst position, preferably in a fast-paced financial services environment.
• Experience in Alteryx Server administration and managing other infrastructure components.
High proficiency in Alteryx and Tableau
• High proficiency in data preparation/ETL
Proven experience in developing applications using Microsoft Power Apps.
Strong understanding of the Power Platform, including Power Automate and Power BI.
Experience with data integration and APIs.
• Strong knowledge of SQL; ability to write, execute and optimize performance of complex queries
Excellent problem-solving and analytical skills.
Strong communication and collaboration skills.
• Ability to communicate complex quantitative analysis in a clear, precise, and actionable manner with both technical and non-technical customers;
• Intellectual curiosity and enthusiasm to apply data to discover and solve business challenges and questions;
• Problem solving mentality, resourcefulness and creativity in identifying solutions;
• Full stack experience in data collection, aggregation, analysis, visualization, productizing and maintenance of analytics products;
• Expertise with information delivery and knowledge of data visualization techniques for operational and executive dashboards;
• Knowledge of basic statistical analysis techniques and data mining methodologies.