MasterCard Senior Data Analyst -Hadoop, Python, SAS, SQL, Merchant/Retail sector experience and education from Top financial Institutes. in Gurgaon, India

Who is Mastercard?

We are the global technology company behind the world€™s fastest payments processing network. We are a vehicle for commerce, a connection to financial systems for the previously excluded, a technology innovation lab, and the home of Priceless ®. We ensure every employee has the opportunity to be a part of something bigger and to change lives. We believe as our company grows, so should you. We believe in connecting everyone to endless, priceless possibilities.

Job Title

Senior Data Analyst -Hadoop, Python, SAS, SQL, Merchant/Retail sector experience and education from Top financial Institutes.


Join the data revolution! MasterCard Advisors is helping to shape the future of data insights by leveraging billions of anonymised, aggregated transactions in a 10 petabyte date warehouse to help financial institutions, merchants, media, and governments manage their businesses more effectively. Be part of an Analytics Center of Excellence that is developing consumer insights that are reshaping how businesses make decisions.

Advanced Analytics is charged with servicing Consulting Services, Information Services and Managed Services by centralizing and optimizing the world class analytical, modeling, software coding, data sourcing, product development, product management, econometrics, and associated delivery capabilities of the MasterCard Advisors organization.

Use broad retail, Travel, Technology, Digital, media, and/or payments industry experience and deep knowledge of the application of big data quantitative analytics to provide hands-on support for information product development and custom analytical project delivery that satisfies and retains a global client base.


Rigorously and logically identify issues covering entire client problem to understand business objectives

Generate key hypotheses and independently structures work at the stream or small project level

Identify creative and useful additional analyses required and suggest new paradigms for recommendations

Create effective, impactful and quality assured storylines and slides at stream or small project level

Analyze large volumes of transaction and customer data to generate insights and actionable recommendations to drive business growth

Synthesize analyses into clear, sound recommendations; takes responsibility for structuring and writing reports and client ready presentations from a work stream or project level.

Apply knowledge of metrics, measurements, and benchmarking to complex and demanding solutions across multiple industry verticals

Set the department standard for data driven insights and advanced analytics solutions using tools such as SAS, HAdoop, Python

Collect and synthesize feedback from clients, project delivery analysts, and sales teams for new solutions or product enhancements. Provide design specifications, functional and technical requirements for development of new products and solutions.

Generates key hypotheses and independently structures work at the work stream or project level

Build behavioral scorecards for target marketing and risk management solutions using econometric and statistical modeling techniques

Create highly predictive models using segmentation and regression techniques to drive profits

Reviews analytics end-products to ensure accuracy, quality and timeliness.

Develops effective working relationships with global teams and business partners

Proactively seeks new knowledge and structures project work to facilitate the capture of Intellectual Capital with minimal oversight

All About you:

Experience in managing team, hands-on business analysis, segmentation and modeling, data mining using large volumes of granular data to deliver analytical solutions

Advanced degree in Economics/Statistics/Mathematics or B.E. in a technical or quantitative discipline before M.B.A from Tier 1 Business Schools in India.

Excellent verbal and written communication skills

Excellent analytical skills

Ability to work on a team or independently

Ability to multi-task in a fast-paced, deadline-driven environment

Advanced Word, Excel and PowerPoint skills

Attention to detail

Platforms/Environments: Unix, Hadoop, Python, SAS, SQL, Netezza,

Experience in Merchant/Retail sector and payments industry preferred

Mastercard is an inclusive Equal Employment Opportunity employer that considers applicants without regard to gender, gender identity, sexual orientation, race, ethnicity, disabled or veteran status, or any other characteristic protected by law.€‹
Requisition ID: R-65848