MasterCard - Data Analyst

Job Title :

Data Analyst - (Hadoop, Python, SAS, Analytics, Reporting tools, Domain - Payment/ BFSI, Education - Top Financial Institutes/degree in Economics)

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.

Overview :

Join the data revolution! MasterCard Advisors is helping to shape the future of data insights by leveraging billions of anonymized, 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.

Data & 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

Product delivery team within the D&A - CoE organization works on implementation & handling the analytical solution delivery to clients across the globe. The team works on developing analytical solutions leveraging anonymous transaction data, 3rd party data (including social media, weather data, etc.), big data analytics, quantitative methods & machine learning for experimental design, propensity modeling and forecasting.

Role : 

The Analyst will provide hands-on support for information product development and custom analytical project delivery that satisfies and retains a global client base.

- Work directly with one of the world's largest data warehouses to deliver optimized data extracts, data visualizations, and detailed reports to support consulting engagements, campaign measurement, business intelligence, predictive modeling, and scoring applications.

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

- Translate business requirements into tangible solution specifications and high quality, on time deliverables

- Develop innovative solutions leveraging new analytical methodologies and tools to reduce costs and improve worldwide product and project delivery. Reviews analytics end-products to ensure accuracy, quality and timeliness.

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

- Develop/enhance/maintain routine data processes and flows based on extraction and processing of large volumes of transaction data. Create and apply quality control, data validation, and cleansing processes to new and existing data sources

- 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

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

- 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

- Incorporate and utilize new technologies (Hive/Impala, PySpark & Python) and methods to improve efficiencies

All About You :

- Good hands-on in Hadoop platform & tools (Hive/Impala & Spark), Python, ML techniques to deliver analytical solutions using large volumes of granular data.

- Experience in programming, data mining, data modeling, and report development. Proficiency in scripting/automation (python, shell scripts, etc.)

- High proficiency with SQL and SAS programing skills along with recent experience in Hadoop tools is essential. Demonstrated knowledge of data mining and query optimization techniques while working with multiple large granular datasets

- Understanding the financial payments space, with an emphasis on retail spending trends a huge plus

- Bachelors/Masters in Engineering or quantitative discipline with an emphasis on business applications.

- Solid understanding of basic statistical techniques such as regression analysis, time-series, correlation analysis etc.

- Strong communication and interpersonal skills required

- Independent, motivated self-starter - acts with a sense of urgency

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

- Highly Organized & strong attention to detail

- Thought leadership/Expertise in building new analytical solution/products is preferred