Job Description
1) 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
2) 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
3) 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 models
4) Software Skills
SAS Base, SAS/STAT, SAS/ETS, SAS IML
Familiarity of R/SPSS c. MS Office/Excel/Word/PPT
5) Preferred 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/Retail)
6) Soft Skills
Good analytical thinking skills
Ability to communicate clearly and precisely
