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Preeti

Recruiter at iCresset Talent Solutions

Last Login: 08 April 2022

Job Views:  
1679
Applications:  123
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Posted in

Consulting

Job Code

490019

Hiring for India's top FMCG Giant with turnover in excess of 51 BN, The position holder will be assisting/Supporting the analytics team that provides analytical insights to take better business decisions and help to achieve optimization of spends/resources.

Key Responsibilities :

Performing statistical modelling of data to identify insights :

- Understand the business problem in detail and identify relevant data needed to answer key business question

- Identifying the statistical technique(s) that will address business question at hand and create an analytical framework as part of the solution

- Perform exploratory data analysis to check errors/outliers/missing values in data, identify data patterns and develop methods to treat these nuances

- Perform modelling of data sets using identified statistical modelling techniques/framework.

- Create and Check model diagnostics to reflect the data patterns and ensure the models are representing data patterns.

- Interpreting the results obtained through models with business/logical understanding and identify the insights /action points

- Communicate the insights in simplistic and clear action oriented fashion to the brand teams

Develop the documentation/process-flow of implemented analytical solutions :

- Creating the documentation of steps performed of implemented analytical solution

- Organization of SAS code

- Development of training materials to train data management team

- Involve in research and development of new modelling techniques/methods

- Good analytical thinking skills

- Ability to communicate clearly and precisely

- Expertise in statistical methods/concepts

- General Linear Models: Simple /multiple regression / hierarchical models /ANOVA /ANCOVA /MANOVA

- Generalized Linear Models: Logistic/Logit/Probit

- Multivariate techniques: Factor, cluster, discriminant, correspondence

- Time series methods: Forecasting techniques/ARIMA/longitudinal data techniques

- Discrete Choice models/Conjoint/proportional hazard/survival model

Technical Skills:

- SAS: Base, SAS/STAT, SAS/ETS, SAS IML

- Familiarity of R/SPSS

- MS Office/Excel/Word/PPT

Soft Skills:

- Experience in building marketing-mix- modelling/pricing analytics/marketing analytics in CPG/FMCG Industry

- Ability to handle large volumes of data/accessing databases through SAS and/or other ETL software (Telecom/banking/Finance/Retail)

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Posted By

user_img

Preeti

Recruiter at iCresset Talent Solutions

Last Login: 08 April 2022

Job Views:  
1679
Applications:  123
Recruiter Actions:  0

Posted in

Consulting

Job Code

490019

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