Pricing & Data Analytics Manager

2 semanas atrás

São Paulo, Brasil 99 Tempo inteiro

Join to apply for the Pricing & Data Analytics Manager role at 99 About The Company – 99 is a global mobility technology platform that creates user value through innovative solutions in mobility, delivery, and digital payments. We focus on building advanced technology, fostering diversity, and delivering measurable impact for communities and society. About The Team/role 99Abastece is a breakout initiative inside DriverLab’s innovation hub, focused on creating solutions that increase driver profitability and satisfaction. You’ll join the Fuel Ops team, the group that keeps the Fuel Marketplace balanced while engaging drivers to refuel at partner gas stations. We’re an innovative environment that values first-principles thinking, analytical rigor, and a hands‑on mindset. In this role, you’ll be Running elasticity & ROI analyses: Model price elasticity by cohort (e.g., high/low engagement, rides vs. fuel) to find optimal burn thresholds and avoid over‑incentivization that harms marketplace efficiency. Designing pricing playbooks: Translate insights into guardrails and playbooks for non‑fuel teams, ensuring consistent, market‑sensitive burn ranges across cities and products. Building pricing automation: Partner with Product/BA to evolve toward an AI‑assisted pricing algorithm that balances burn across products, stations, and cohorts. Improving unit economics: Deep‑dive fuel price composition and margins to define minimum price floors/service‑fee levers that preserve value perception while improving revenue. Managing data governance: Drive the end‑to‑end structuring of data initiatives—mapping current gaps, identifying key opportunities, defining and prioritizing the data roadmap, and partnering with Data and Product teams to ensure consistent, reliable, and business‑aligned data foundations. Improving data structuring: Drive the organization and optimization of operational data, enabling better usage through clearer segmentation, classification, and prioritization. We're eager to be in touch because you have Bachelor’s degree in Engineering, Statistics, Economics, Data Science, or similar. 5+ years of background using data to drive pricing/revenue/marketplace decisions. Strong toolkit in Data Analytics (SQL required; Python/R a plus; experimentation/causal inference desirable). Proven ability to convert analysis into scalable policies, playbooks, and automated systems. Excellent problem‑solving, stakeholder management, and communication skills (written and verbal). Advanced English; entrepreneurial spirit and hands‑on attitude. You’ll love working at DiDi because We create user value, innovate new experiences, and rely on data‑driven decisions. Collaboration, integrity, growth, and inclusion are core to our culture, and we empower every team member to contribute to meaningful impact. #J-18808-Ljbffr

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