Profile Type:
|
Analyst
|
Designation:
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ANALYST
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Annual Salary:
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4.5 LPA
|
Company Profile
Please Visit. www.mu-sigma.com for more details
Analytics and
data-driven decision making have been well recognized as a distinctive
competitive advantage in a world of Big Data and increasing business
complexity. However, organizations are challenged with scaling the use of
analytics and making it an integral part of all business decisions. Mu Sigma
addresses this critical need and enables organizations to institutionalize
analytics and Decision Sciences in a sustainable manner.
We work with
market leading organizations across multiple industry verticals solving high
impact business problems in key horizontals such as Marketing, Risk and Supply
Chain. We provide our clients with a holistic ecosystem of proprietary
technology platforms, processes and people, which scales the use of our unique
interdisciplinary approach to Decision Sciences. We believe that leveraging
data effectively to enable Decision Support requires a combination of Data
Engineering, Data Sciences and Decision Sciences. Data Engineering is the
application of technology for collecting, storing, processing, transforming and
structuring of data. Data Sciences refers to the application of math and
technology to solve focused business problems with well-defined scopes.
However, the dynamic nature of business requires Decision Sciences, an interdisciplinary
approach of business, applied math, technology, design thinking and behavioural
sciences, to solve constantly shifting and ill-defined business problems.
We help
organizations traverse the journey from Data Engineering to Data Sciences and Decision
Sciences thereby institutionalizing Decision Support.
We establish
ongoing relationships with our clients in a white box and collaborative manner
to create a better art for problem solving. Our integrated DIPP™ approach and
close engagement with our clients empower them to not only scale the creation
of analytics, but also facilitate the translation and consumption of insights
to maximize ROI from analytics initiatives.
Our expertise
and experience cut across multiple and disparate verticals such as CPG &
Retail, BFSI, Pharma, Healthcare, Technology, Media and Telecom (TMT) and many
more. We believe that in a world of blurring value-chain boundaries and
continuous transformation, organizations can profit from cross industry /
domain expertise. Over the years, we have leveraged this experience to enable
innovation and convergence for our clients.
With over 2500
Decision Sciences professionals, and over 75 Fortune 500 clients across 10
industry verticals, we are one of the largest Decision Sciences and analytics
companies. Our interdisciplinary approach to problem solving using
cross-industry expertise corroborate our sustainable engagement model with our
clients, making us one of the most preferred analytics and Decision Sciences
partners among our contemporaries.
Job Details
Eligibility: All
B.Tech Branches and M.Tech (Integrated Branches)
Eligibilty
Criteria: 60% and above in 10th, 12th, Diploma
No CGPA cut
off for B.Tech and M.Tech (Integrated). 2 standing arrears are allowed.
Selection
Criteria
Degree: B.TECH
Branch: Computer Science Engineering, Chemical Engineering,Electronics & Communications Engineering, Electrical and Electronics Engineering, Information Technology, Mechanical Engineering, Civil Engineering, Bio Technology, Instrumentation and Control Engineering, Electronics and Instrumentation Engineering, Bioinformatics, Information & Communication Technology, Mechatronics Engineering, Bio Sciences, Mechatronics, Bioengineering, Industrial BioTechnology,College
Branch: Computer Science Engineering, Chemical Engineering,Electronics & Communications Engineering, Electrical and Electronics Engineering, Information Technology, Mechanical Engineering, Civil Engineering, Bio Technology, Instrumentation and Control Engineering, Electronics and Instrumentation Engineering, Bioinformatics, Information & Communication Technology, Mechatronics Engineering, Bio Sciences, Mechatronics, Bioengineering, Industrial BioTechnology,College
Marks:4-10CGPA
X MARKS: 60-100
XII Marks: 60-100
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