Lead Business Data Analyst

About Rapido We are India’s largest bike-taxi platform, steadily venturing into Delivery, Auto, Rental, and more. Currently present in over 100 cities, we are growing close to 500% year-on-year with steady funding. We have changed the concept of intra-city travel and made last-mile connectivity affordable to all. Along with being the #1 choice of 10 million people, we have also built a solid captain base of over 5 million registered captains, who have bettered their lives with Rapido. As an employer, we provide a lot of ownership to our team members providing multiple avenues for them to grow within the company. You will only grow with us with the right balance of ambition, fun, and transparent work culture! Opportunities don't happen, you create them! Job Summary :

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 make better decisions faster. This position will report to Business Finance and will work very closely with multiple business functions inside the organization and be responsible for delivering value from the raw data

Job Responsibilities :

• Acquiring data from primary / secondary data sources like mongo / presto / Rest APIs
• Build visualizations to communicate data to key decision-makers and preferably familiar with building interactive dashboards in Tableau / Metabase
• 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
• 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 perform data analysis of experiments and recommend the next best action for the business. Involves being embedded into business decision teams for driving faster decision making
• Collaborating with 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; thereby delivering output to business users