Purpose:
The position holder will be responsible for shaping the direction of Rapido’s
business strategy and growth by using data-driven insights to identify
opportunities and help operations take better decision faster. This position will
report to the Lead Analytics and will work with the analytical function inside the
organization responsible for delivering value from the raw data.

Roles and Responsibilities:

1. Acquiring data from primary/secondary data sources like mongo/presto/Rest APIs.

2. Build visualizations to communicate data to key decision-makers and preferably familiar with building interactive dashboards in Tableau/Metabase.

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

4. Partner with operations/business teams to consult, develop and implement KPI’s, automated reporting/process solutions, and process improvements to meet business needs

5. Collaborating with our business owners + product folks and perform data analysis of experiments and recommend next best action in for the business.

5. Involves being embedded into business decision teams for driving faster decision making.

6. Several functional teams within the organization and use raw data and metrics to back up assumptions, develop hypothesis/business cases and complete root cause analyses output to business users.

7. Collaborating with our business owners + product folks and perform data analysis of experiments and recommend next best action in for the business.
8. Involves being embedded into business decision teams for driving faster decision making

8. Collaborating with data scientist to transfer the business understanding and validate the output with business users.

Education & Experience:

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

2. Around 2-4 years of experience being embedded in analytics and adjacent business teams working as analyst aiding decision making

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

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

Interview Process:

Round 1 – Technical discussion
Round 2 – Managerial discussion
Round 3 –  HR discussion