Associate Economics Analyst, Global Growth and Operations-2 Job in Gurgaon at Mastercard

Mastercard is hiring for the role of Associate Economics Analyst, Global Growth and Operations-2!

Responsibilities of the Candidate:

• Support client and stakeholder engagements across MEI
• Collaborate with team economists, econometricians, developers, visualization experts and industry partners.
• Develop and test hypotheses at the intersection of economics, retail, and commerce.
• Structure work and manage small project streams, delivering impactful results.
• Identify creative analyses and develop proprietary diagnostic indices using large and complex datasets, including macroeconomic and big data sources.
• Generate insights, synthesize analyses into impactful storylines and interactive visuals, and help write reports and client presentations.
• Enhance existing products and partner with internal stakeholders to develop new economic solutions.
• Help create thought leadership and intellectual capital.
• Create and format analytical content using Jupyter Notebooks, R Markdown and/or Quarto.
• Work with databases and data platforms, including Databricks, SQL and Hadoop.
• Write clear, well-documented code that others can understand and maintain.
• Collaborate using Git for version control.

Requirements:

• Bachelor’s degree in Economics (preferred), Statistics, Mathematics, or a related field.
• Proficient in working with relational databases and writing SQL queries.
• Expertise in working with large-scale data processing frameworks and tools, including Hadoop, Apache Spark, Apache Hive, and Apache Impala.
• Proficient in R or Python with experience in data processing packages.
• Skilled in creating data visualizations to communicate complex economic insights to diverse audiences.
• Experience using data visualization tools such as Tableau or Power BI.
• Proficiency in machine learning, econometric and statistical techniques, including predictive modeling, survival analysis, time series modeling, classification, regression and clustering methods is desirable.
• Strong problem-solving skills and critical thinking abilities.
• Excellent communication skills, both written and verbal.
• Organized and able to prioritize work across multiple projects.
• Collaborative team player who can also work independently.
• Passionate about data, technology, and creating impactful economic insights.