Details:

• Job Description and Responsibilities
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• Key Responsibilities:
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• 1.            Lead all datarelated activities to improve operations and business outcomes.
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• 2.              Work with variousstakeholders to understand business requirements, translate into data models,and use advanced analytic capabilities to provide insights through reports.
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• 3.              Manage platformdevelopment to operationalize the analytic methods and projects in a functionalsetting and agile development of new methods and capabilities for continuedexcellence.
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• 4.              Manage teamattendance, timelines and on time delivery of projects.
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• 5.              Effectively communicatewith all stakeholders and company leadership to maximize collaboration andadoption of data driven solutions.
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• Qualification & Experience:
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• 1. Degree in Computer Science, Mathematics, Applied Statistics or arelated field,preferably from a premier institutions advance knowledge ofmathematics, statistics, data mining and modeling.
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• 2. 4-5 yrs of experience working with data modeling, warehousing, ETL,BI, and data management.
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• 3. Hands on experience working with database technologies, including SQL/ NoSQL platforms, and visualization applications such as OBIEE, Tableau,Qlikview etc.
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• 4. Strong familiarity with data mining tools SQL/SAS, R etc.
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• 5. Knowledge of Big Data programming environments and competency in majoranalytics software packages and programming environments (e.g. Hadoop /Map-Reduce, Hive, Hbase, Spark, Storm, Mahout; Python, R, Java etc.)
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• 6. Strong project/program management skills
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• Additional Desirable Characteristics:
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• 1. Passionate about data driven organizational improvement.
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• 2. Ability to work with various stakeholders to drive operationalizationof the analytics process and ensure buy-in.
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• 3.Strong communication skills.

Min. Qualification:

ug

Skills Required:

database, data management, data modeling, etl, hadoop