Mu Sigma - Off-Campus Recruitment Drive
Business Analyst
Mu Sigma - Off-Campus Recruitment Drive An Off-Campus Recruitment Drive through Freshersworld.com

Eligibility:

  • All 2012 / 2013 BE / B.Tech candidates with 60% and above in 10th, 12th and UG. 

If you are an engineering graduate who loves playing with mathematical numbers and if science of collection, organization, and interpretation of data excites you, then Mu Sigma is the place to be at.

Hiring Process: Online-test

Job Description :

  • Communicate effectively with client/ onsite personnel and document understanding and action items from meetings.
  • Assist in delivering well organized reports, dashboards, data analysis and statistical models.
  • Ensure error-free and high-quality outputs to the client / manager.
  • Documents work effectively to ensure that the manager / client are comfortable with both work-in process and end deliverables.
  • Actively gathers and shares domain related knowledge in forums within the organization.
  • Manages his / her time well to contribute to at least one organization initiative. 

Work Location : Bangalore

Recruitment Schedule:

  • 22nd Feb - 13 (Delhi, Pune)
  • 2nd Mar - 13 (Bangalore)

NOTE : Recruitment through Freshersworld.com only, Candidates with a valid call letter will be permitted to take up an interview.

About Us

Mu Sigma - Off-Campus Recruitment Drive

Mu Sigma helps clients institutionalize analytics in their organizations using global delivery. We are headquartered in Chicago, USA with delivery centers in India. Mu Sigma�s scientific community, which consists of practitioners from leading educational institutions in the United States, enables us to deploy cutting edge analytics for our clients. Talent from the best educational institutions in India and the US is recruited to serve clients cost effectively. Our best-in-class processes leverage expertise in statistics and econometrics in the areas of marketing, risk and supply chain. The techniques our professionals use range from conventional statistical and operations research techniques to advanced artificial intelligence.

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