MasterCard Associate Analyst - Business Intelligence with Data Analytics 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

Associate Analyst - Business Intelligence with Data Analytics


Work closely with MasterCard Core Products team around the world to architect, develop, and maintain advanced reporting and data visualization capabilities on large volumes of data in order to support Core analytics and reporting needs of various products, markets and services.

Use knowledge of the application of business intelligence tools to provide hands-on support for information product development and custom analytical project delivery that satisfies and retains a global client base.

[Role €“ Business Intelligence Analyst]

The role of BI Lead encompasses the following roles and responsibilities:

Interface with multiple stakeholders and understand business requirements and develop and implement best-in-class analytics (combining the richness of our operational data with the significance of our revenue data) to support Core Products across all products and markets.

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

Develop a detailed understanding of the Core objectives and strategies and how analytics can support each effort; generate actionable insights that aid investment decisions and support the Core objectives and strategies

Conduct statistical analysis of large customer datasets to improve marketing, credit risk, and operational performance

Build predictive models, customer profiles & clusters and perform retention/attrition analysis

Support rapid prototyping and delivery of custom reporting, data visualization, and dashboard solutions by market, product, segment, issuer & portfolio (where available)

Develop innovative solutions leveraging new analytical methodologies and tools

Work directly with one of the world€™s largest data warehouses to query and deliver optimized data extracts, data visualizations, and interactive reports to support Core products and markets, campaign/portfolio measurement, business intelligence, predictive modeling, and scoring applications.

Develop/enhance and manage routine data, report generation, and dashboard refresh processes

Apply quality control, data validation, and cleansing processes to new and existing data sources.

Support User Acceptance Testing for production applications; comply with all MasterCard internal policies and external regulations

Support a high performance workplace


Large scale Databases: IBM Netezza, Oracle Exadata, Teradata etc. on Unix

Platforms/Environments: SQL Server, Microsoft BI Stack OR Any other BI Platform such as Micro Strategy, Cognos etc.

Strong querying skills with SAS, SAS-STAT, SAS-MACROS, WPS, Python, SQL

Advanced Visualization tools such as Tableau, Qlikview, Spotfire etc.

Strong MS-Excel, MS-Access, MS-PowerPoint skills.

[All About You]

Required Experience / Knowledge / Skills

Effectively uses tools to manipulate such large-scale databases, synthesizing data insights:

oProficiency with SAS/SQL/Oracle/Unix and experience with relational databases, extensive data mining required

oExperience with BI tools and the MSBI Stack

oExperience with data appliances such as Netezza, a plus

Ability to easily move between business, analytical, and technical teams and articulate solution requirements for each group

Effectively use data mining algorithms such as, clustering, decision trees, logistic regression, ARMIA, Bayesian networks, neural networks etc.

Self-motivated with a proven track record of innovation and successful delivery

Strong understanding of financial reporting and analytics.

The candidate

B.A. in a Computer Science, Information Technology, Engineering, or Mathematics. M.S./M.B.A. preferred

Excellent English, quantitative, technical, and communication (oral/written) skills

Analytical/Problem Solving

Strong attention to detail and quality


Self-motivated, operates with a sense of urgency

Equal Opportunity Employer
Requisition ID: R-58247