1 Data Analysis (SQL/Python) 2 Power BI/Viz Software exposure 3 Insight Generation (optional)
4 Analytical experience in domains such as finance revenue management marketing focused on cost allocation and analysis category management etc.
- Relevant experience in analytics/consulting/informatics and statistics
- Key Skills Data and Business Analytics Advanced Statistics and Predictive Modelling Stakeholder Management Project Management
- Experience in pricing and revenue management yield management customer segmentation analytics revenue impact analytics etc. is a plus
- Exposure to predictive analytics ML/ AI techniques is an added advantage
- Education MBA/Masters in Information Systems Computer Science or a quantitative discipline such as mathematics engineering operations research economics & statistics from tier 1/2 institutes
- Tools Oracle SQL Server Teradata SAS Python Tableau/PowerBI/Spotfire
- Good to have cloud computing big data Azure