MasterCard - Lead - Business Intelligence - Data Analytics

Job Posting Title-Lead - Business Intelligence in Data Analytics (10-12 years)

Job Profile-Analyst, Advanced Analytics (2-7 years)

Overview :

- Work closely with 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 Products analytics and reporting needs of various products, markets and services. This position will manage an analytics team to fuel revenue growth across our Core Products organization.

- 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 :

The role of BI Lead/Analyst 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; Key objectives center on Winning Deals, Product and Platform Revenue Optimization, Cross-Border Growth and Merchant Development strategies.

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

- Support rapid prototyping and delivery of custom reporting, data visualization, and dashboard solutions for clients in retail, capital markets, media, and payments industries

- 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.

- 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, and evaluate alternative approaches including architecture and technical design in order to contain development costs and/or increase speed to market

- Project scoping, design, and management

- Comply with all MasterCard internal policies and external regulations

Competencies :

- 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.

- SQL Server Integration Services(SSIS), SQL Server Analysis Services (SSAS) and SQL Server Reporting Services (SSRS)

- Experience with PowerPivot, PerformancePoint, MDX, DMX, DAX

- Experience with Hadoop environments with R a plus

- 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:

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

- Experience with BI tools and the MSBI Stack

- Experience with data appliances such as Netezza, a plus

- Experience in managing a team and collaborate with global stakeholders. Strong at working in a fast paced, dynamically changing pipeline.

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

- Strong understanding of Financial Reporting and Analytics.

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

- Ability to understand complex operational systems and business intelligence tools for the delivery of information products and analytical offerings to a large, global user base.

- Solid understanding of the application of analytical methods and data visualization to support business decisions

- Solid understanding of predictive models, customer segmentation and risk models

- 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

- Creativity/Innovation

- Self-motivated, operates with a sense of urgency

- Project Management/Risk Mitigation

- Able to prioritize and perform multiple tasks simultaneously