Lead Consultant - Analytics - IIT/NIT/BITS/IIM/XLRI/FMS/MDI

Key Points

1] 9+ experience years in Data/Advanced Analytics field with strong knowledge of statistics

2] Must have worked on SAS, R and Python tools

3] Background in Advanced Analytics -machine learning, decision sciences, behavioral economics

4] Role is individual contributor

5] Master/Ph.D degree in quantitative stream like Statistics/Operations Research/Mathematics

Responsibilities - 

- Work with the business teams to operationalize analytics solution for problems in business area

- Understand business problems and questions, as well as gain insights through data discovery and share interpretations and perspectives to help business teams with achieve their goals.

- Participate in various data analytics forums and contribute. Develop the ability to work in a variety of business areas and data domains and move easily from one to another.

- Maintain knowledge of emerging trends and utilize this knowledge to educate stakeholders of opportunities to provide data analytics solutions that support and drive the business.

- Mentor, direct, and monitor the work of data analytics sub-team.

- Perform other job-related duties such as participating in forums and contributing towards organization building activities.

Skills Sets

- A strong passion for analysis and ability to answer problems using appropriate statistical techniques on available data to provide inputs to the business users

- Exceptional analytical skills, proficiency in hands-on analytical model development.

- Experience of working on advanced techniques like Regression (Multiple/linear/logistic), Survival Analysis, Decision Tree, Clustering and Segmentation, Econometric and Statistical Analysis Techniques

- Exposure to SAS tools like SAS EG (base and advanced SAS), SAS Enterprise Miner, R or SPSS.

- Ability to influence and work with all levels of management / business areas

- Strong communications and relationship building skills with an ability to develop and deliver effective presentations

Education

Minimum 15 years of formal education- Master/Ph.D degree in quantitative stream

Qualification

The ideal candidate should be Masters in Statistics/Operations Research/Mathematics graduate from a reputed institute.

OR

B Tech + MBA from top tier institutes with strong quantitative background.