- Establish a relationship between the output metric and its drivers in order to identify critical drivers and control the critical drivers so as to achieve the desired value of the output metric.

- Partner with operations/business teams to consult, develop and implement KPIs, automated reporting/process solutions, and process improvements to meet business needs.

- Collaborating with our business owners + product folks and performing data analysis of experiments and recommending the next best action for the business. Involves being embedded in business decision teams for driving faster decision-making.

- Collaborating with several functional teams within the organisation and using raw data and metrics to back up assumptions, develop hypotheses/business cases and complete root cause analyses; thereby delivering output to business users.

Requirements :

- Candidate must have strong hands-on experience in Python and SQL.

- Undergraduate and/or graduate degree in Math, Economics, Statistics, Engineering, Computer Science, or other quantitative field.

- Around 4- 6 years of experience being embedded in analytics and adjacent business teams, working as an analyst aiding decision-making.

- Proficiency in Excel and ability to structure and present data in creative ways to drive insights

- Some basic understanding of (or experience in) evaluating financial parameters like return-on-investment (ROI), cost allocation, optimisation, etc. is good to have