About the company
di di global inc. is the world's leading mobility technology platform.
it offers a wide range of app-based services across markets including asia-pacific, latin america and africa, including ride hailing, taxi hailing, chauffeur, hitch and other forms of shared mobility as well as auto solutions, food delivery, intra-city freight, and financial services.
di di provides car owners, drivers, and delivery partners with flexible work and income opportunities.
it is committed to collaborating with policymakers, the taxi industry, the automobile industry and the communities to solve the world's transportation, environmental and employment challenges through the use of ai technology and localized smart transportation innovations.
di di strives to create better life experiences and greater social value, by building a safe, inclusive and sustainable transportation and local services ecosystem for cities of the future.
job overview
as a pricing/revenue management analyst you will have to monitor, structure, and execute everything related to pricing, from monitoring of the marketplace to improving user experience while managing to reach business and financial goals.
this position will be responsible for building frameworks & insights that make every day easier understanding the marketplace and anticipating future behaviors within the ride-hailing business.
qualifications
bachelor's degree (engineering, economics, business administration or other relevant degrees)
1-3 years of experience in revenue management, consultancy, investment banking, financial planning & analysis, business improvement, business intelligence, and other related fields
proficiency in excel and powerpoint
great at communication and stakeholder management skills, working in cross-functional projects across countries
ability to learn and deliver results with high expectations on timeliness and quality
professional proficiency level in english and spanish
sql skills required
we are data-driven – we are strong believers in making informed decisions, that's why we are data-driven.
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