Business Consulting /Marketing Analytics
Combination of modelling& strategy- 30%data,40% strategy,30% modelling
SAS is mandatory- R/ Python is preferred
Exp in retail banking / retail analytics is mandatory
ML experience would be added advantage
4 year Bachelors or Masters degree from reputed university with concentration on marketing, finance, economics or other quantitative fields such as statistics or engineering.
Strong analytical skills with 3-5 years of relevant analytics experience. Knowledge of retail banking products preferable
Experience of modern analysis methods and machine learning kits such as (but not limited to) Random Forest, Markov Chain analysis, Gradient boosting, Pathway analysis, Collaborative Filtering, Neural Networks\LSTM, Self-Organising Maps etc
Ability to deliver the data science solution with a 100% hands-on approach.
Expertise in architecting and communicating a data based analytical solution for a given use-case
Enthusiasm for proactively seeking, exploring and developing use cases for new data and/or tools/wider industry trends
Proficiency in SAS, R/Python Programming languages and MS Office tools like Excel & PowerPoint is preferred. Exposure to open source tools like Tensor Flow and cloud analytics platform such as AWS Redshift , Azure etc. will be added advantage
Ability to break down problems into smaller and logical fragments that can be related to definitive solutions / approaches, concise data requirements and definitive timelines to complete
Excellent written and verbal communication skills. Ability to develop and effectively communicate complex concepts and ideas