MasterCard Associate Analyst - Business Intelligence with Data Analytics in Gurgaon, India
Who is Mastercard?
We are the global technology company behind the worlds 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.
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 worlds 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.
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
Strong attention to detail and quality
Self-motivated, operates with a sense of urgency
Equal Opportunity Employer
Requisition ID: R-58247