Analyst, Big Data Analytics & Engineering Job Listing at Mastercard in Pune, MH (Job ID R-229692-Pune, India, 411006)

Description

Our Purpose

Mastercard powers economies and empowers people in 200+ countries and territories worldwide. Together with our customers, we're helping build a sustainable economy where everyone can prosper. We support a wide range of digital payments choices, making transactions secure, simple, smart and accessible. Our technology and innovation, partnerships and networks combine to deliver a unique set of products and services that help people, businesses and governments realize their greatest potential.

Title and Summary

Analyst, Big Data Analytics & Engineering Job Title: Analyst, Big Data Insights and Engineering
Company: Mastercard
Location: [Gurugram, Haryana India], [Pune, India]
Department: Commercial Insights, Services
Hiring Manager: Jaipal Kumawat

Who is Mastercard?
Mastercard is a global technology company in the payments industry. Our mission is 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. With connections across more than 210 countries and territories, we are building a sustainable world that unlocks priceless possibilities for all.

Job Summary:
Mastercard is seeking a Data Engineer, Big Data Insights and Engineer to join our Commercial Insights, Services team. This role is designed for a professional who not only excels in data engineering and analytics but also understands the business implications of data insights. The ideal candidate will leverage their technical expertise in Data Engineering/ETL, SQL, and data visualization tools to deliver actionable insights that drive Mastercard's business strategies, particularly in the fast-evolving payments domain.
Key Responsibilities:
• 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, SSIS and Alteryx)
• Business-Driven Data Analysis: Conduct in-depth data analysis using SQL, T-SQL, and Excel to uncover trends, patterns, and insights that directly influence business strategy, customer engagement, and product development.
• Business Intelligence Reporting (good to have): Create and maintain sophisticated dashboards and reports in Tableau and Power BI, transforming complex data sets into intuitive visualizations that guide business leaders in strategic decision-making.
• Domain Expertise in Payments: Apply your knowledge of the payments industry to contextualize data insights, ensuring that analytics directly support Mastercard's business goals and market positioning.
• Problem Solving with Business Impact: Identify and resolve data-related issues with a focus on minimizing business disruption. Provide timely and strategic solutions that support Mastercard's overall business objectives.
• Cross-Functional Collaboration: Partner with business leaders, product managers, and technical teams to gather requirements, provide data-driven insights, and communicate complex technical concepts in clear business terms.
• Project Leadership: Manage and deliver multiple projects simultaneously, balancing technical detail with business priorities to meet deadlines in a dynamic, fast-paced environment.
• Innovation and Continuous Improvement: Stay ahead of industry trends and leverage emerging technologies to enhance Mastercard's data capabilities. Utilize Python for basic scripting and automation to improve efficiency and support innovation in data processing.
Qualifications:
• Education: B-Tech degree in computer science, Information Systems, Data Engineering, Data Science, Business Analytics, or a related field.

• Experience:
o 3+ years of experience in data engineering, data analysis, and business intelligence, with a demonstrated ability to translate data into business insights.
o Good understanding of Python – Pandas, NumPy, PySpark and Impala.
o Experience in doing data analysis and extraction on Hadoop.
o Experience with Enterprise Business Intelligence Platform/Data platform.
o Strong SQL and higher-level programming languages with solid knowledge of data mining, machine learning algorithms and tools
o Experience with data integration tools – ETL/ELT tools (i.e. Apache NiFi, Azure Data Factory, Pentaho, Talend, SSIS and Alteryx)
o Expert SQL and T-SQL skills for sophisticated data manipulation and analysis.
o Tableau and Power BI experience is good to have
o Advanced Excel skills, including pivot tables and data modeling, to support detailed business analysis.
o Basic knowledge of Python for scripting, with a focus on improving business processes.
o Solid understanding of the payments industry and its impact on data strategy and analysis.
• Skills:
o Strong business acumen with the ability to link technical data analysis to business outcomes.
o Excellent problem-solving skills with a focus on delivering business value.
o Superior verbal and written communication skills, with the ability to present complex data insights to non-technical stakeholders.
o Team player with a collaborative mindset and the ability to work effectively in cross-functional teams.
o Experience managing projects in a fast-paced, results-oriented environment.
Preferred Qualifications:
• Master's degree in business Analytics, Data Science, or a related field.
• Experience with big data technologies e.g. Hadoop and cloud platforms (e.g., AWS, Azure) with a business-driven focus.
• Knowledge of data governance, with an emphasis on aligning data management practices with business strategy.

Corporate Security Responsibility

All activities involving access to Mastercard assets, information, and networks comes with an inherent risk to the organization and, therefore, it is expected that every person working for, or on behalf of, Mastercard is responsible for information security and must:
• Abide by Mastercard's security policies and practices.
• Ensure the confidentiality and integrity of the information being accessed.
• Report any suspected information security violation or breach, and
• Complete all periodic mandatory security trainings in accordance with Mastercard's guidelines.

Corporate Security Responsibility

All activities involving access to Mastercard assets, information, and networks comes with an inherent risk to the organization and, therefore, it is expected that every person working for, or on behalf of, Mastercard is responsible for information security and must:

• Abide by Mastercard's security policies and practices;

• Ensure the confidentiality and integrity of the information being accessed;

• Report any suspected information security violation or breach, and

• Complete all periodic mandatory security trainings in accordance with Mastercard's guidelines.

 Apply on company website