Draup - Associate Consultant - Analytics

Primary Objectives/Responsibilities:

- Analyse the available big data and derive meaningful and strategic insights to solve the client use-cases

- Perform qualitative secondary research to arrive at a well framed and thought solution for the client

- Own small consulting engagements as an individual contributor or individual work streams as a part larger engagements

- Create customized mathematical models for the clients based on data availability and customer requirements

- Perform statistical analysis on the available datasets to perform multiple hypothesis testing based on client requirements

- Work closely with the Internal Data Analytics and Statistical Teams to create new derived metrics which can be brought to the Draup Platform

- Work closely with the Backend teams to perform quality checks on the existing/upcoming models through market understanding and secondary research

- Study existing literatures, algorithms and methodologies to develop innovative mathematical models

- Assist in writing scientific whitepapers for the new models or emerging trends in the market

Required Skills and Personal Abilities:

- Excellent spoken English and professional communication skills to handle international clients

- Proficiency in Research and Analytical Skills over relevant datasets

- High Proficiency in Statistical and Data Modelling concepts

- High Degree of Proficiency in Microsoft Office Suite (Powerpoint, Word, Excel, etc)

- Ability to develop and articulate strategic insights based on data analysis and secondary research

- Strong Inter-personal skills are required due to high focus on cross-team collaboration with the Product and Services based teams

- Excellent Analytical and Logical skills to assist in development on Numerical models

- Basic programming algorithms to assist in creation of Analytical Models

- (Preferred) Knowledge of any data analytics and data visualization tools and techniques (Tableau, Power BI, Matlab, etc)

- (Preferred) Knowledge of Python, SQL, Spark for analysis over large datasets