*Dear Vendor Partners,*


*Please send the profile to [email protected]
<[email protected]> *



*Job Title: Data Analyst*

*Location: St. Louis, MO*

*Duration: 24 months*

*Data Analyst - Fraud Products*



[[Overview]]

• Fraud Products Platform Engineering & Strategy team develops new
capabilities for MasterCard's Decision Management Platform

• This platform provides business solutions to combat fraud and
authenticate users and processes billions of transactions per month in tens
of milliseconds

• The Fraud Products Platform Data Analyst will assist in analyzing the
wealth of real time fraud data and build new platform capabilities

• Would you like to analyze fraud data & help develop industry leading
solutions for fighting fraud?

• Are you motivated by speeding business solutions to market?

• Do you want to innovate, using cutting edge technologies on challenging
business problems?



The Fraud Products Platform Architecture & Development team develops new
capabilities for MasterCard's Decision Management Platform, which serves as
the core for multiple business solutions to combat fraud and validate
cardholder identity.

This platform processes billions of transactions per month in tens of
milliseconds using a multi-tiered, message-oriented approach for high
performance and availability.

The Fraud Products Platform Development Data Analyst will analyze the
hundreds of Terabytes of data from a business and operations perspective,
investigate inquiries into the data, assist team members in tuning queries,
and develop ETL jobs to perform schedule analytics.



[[Role]]

• Analyze data from a business and technical perspective to assist in new
product development and to respond to inquiries

• Develop ETL jobs to perform scheduled analytics

• Work with other team members to tune queries



[[All About You]]

Essential Knowledge/Experience

• A wide breadth and depth of data analysis experience including SQL,
RDBMS, Unix/Linux Shell Scripting

• Strong data analysis skills to “pre-validate” business requirements and
verify expected results.

• Ability to quickly take on exploratory tasks to help investigate
inquiries into the data.

• Strong verbal and written communication skills



Desirable Knowledge/Experience

• Knowledge of Oracle Tuning & Analysis features (e.g. Explain Plans,
Partitioning, Analytic Functions)

• Experience developing end-to-end ETL jobs including restart and full
audit capabilities (Syncsort DMX preferred)

• Experience working with large datasets and parallel processing concepts.

• Experience with Hadoop and other Big Data tools

• Experience developing flexible reporting structures.

*Thanks and Regards*



*Arvind Nagar*

*Email- **[email protected]* <[email protected]>

*Direct-408-457-9381 Ext-4008 !! Gtalk- arvindnagar.777 !! Yahoo- *
*arvindnagar951*

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