Details:

Description- - Candidates should have significant hands-on experience with analytics projects and teams using advance - Statistical / Econometrics / OR / Actuarial or related quantitative techniques across various functions, preferably with marketing, sales and service applications - Candidates will be expected to successfully prioritize and manage multiple analytical projects / adhoc requests to support business initiatives - Good technical depth and excellent analytical skills experience in Marketing/Sales/Service Analytics - SAS or other quantitative analysis programming skills - Ability to perform analysis of vast data stores and uncover insights Interpret data, analyze results using statistical techniques and provide ongoing reports - Ability to translate business problems and build the user stories to support analytical solutions Lead developing new architecture and design patterns to process and store high volume enterprise wide data sets - Design and build scalable infrastructure and platform for very large amounts of data ingestion, aggregation, integration and advanced analytics in Hadoop, including Map Reduce, Pig/Hive, Spark, Storm, Hbase and other NoSQL databases - Develop and implement data collection systems and other strategies that optimize statistical efficiency and data quality while maintaining data security and integrity Handson technical leadership and support for customer issues and incidents regarding the analytics platforms through to resolution. - Locate and define new process improvement opportunities - Experience with multiple cloud, machine data and unstructured data computing platforms Other Qualifications : - Knowledge of software/data design methods, data structures, and modeling standards/ dimensional models/Data warehouses - Experience with continuous integration and continuous delivery tools - Experience and interest in evaluating open source technologies and demonstrated ability to make objective choices - Strong knowledge of Big Data Ingestion and Data processing patterns. - Experience with scaling applications to processing multiple petabytes - Experience with Visualization Tools such as Qlik/Tableau - Experience with data streaming technologies Note: We have Multiple requirements within Analytics Team

Min. Qualification:

ug

Skills Required:

analytics, hadoop, hbase, Hive, mapreduce, Pig, sas, sparkr, statistics