商业分析师-电销效能优化方向

This role connects data from Sales, Onboarding, and Farming, giving the business an end-to-end view rather than a set of isolated reports. As Commercial Analytics & Efficiency Manager, you will investigate performance, challenge assumptions, build scenarios, and turn complex findings into clear choices. You will work closely with the leaders responsible for planning, lead & portfolio management, and capacity. The role will improve decisions and drive results. In this role you will be... - Analyze Sales, Onboarding, and Farming performance end to end, connecting volume, conversion, productivity, quality, cost, restaurant activity the metrics related - Identify the root causes of performance gaps, quantify opportunities, and recommend actions with clear expected impact, risks, and trade-offs - Develop productivity and efficiency models by funnel stage, channel, region, BPO, portfolio, cohort, seniority, and ramp-up stage - Build scenarios to support decisions on targets, headcount sizing and allocation, investments, and resource prioritization - Assess lead and portfolio quality, potential, coverage, and conversion, providing inputs to support decisions by the respective owners - Develop analytical forecasts, early-warning signals, and simulations that anticipate risks and indicate where leaders should act - Measure the incremental impact of campaigns, process changes, automations, and other commercial initiatives - Reduce the time spent on recurring analysis. Use SQL, BI tools, scripts, or AI where they materially improve speed, consistency, or accuracy. - Translate complex analyses into objective recommendations for executive forums, clearly outlining the options and implications of each decision - Follow through on decisions supported by the team, assess realized results, and adjust hypotheses and models based on evidence - Partner with Sales Ops, Sales, Onboarding, Farming, CRM, Enablement, Product, Finance, and Data to turn analyses into executable plans

*We are eager to be in touch with you because you have...: - Bachelor's degree in Engineering, Statistics, Economics, Business Administration, Data Science, or a related field - A track record in commercial analytics, business intelligence, sales operations, revenue operations, commercial planning, or another role where analysis directly shaped business decisions. - Advanced SQL skills and the ability to independently query, organize, and analyze large volumes of data - Experience with BI tools and advanced spreadsheets; knowledge of Python or R is a plus - Ability to structure root-cause analyses, productivity models, scenarios, forecasts, cohort analyses, and incremental impact measurement - Understanding of commercial funnels, lead and portfolio management, capacity, conversion, and commercial KPIs - Strong business judgment and the ability to turn data into decisions, prioritizing impact and practical application - Clear executive communication and the ability to lead cross-functional projects and influence decisions without formal authority - Advanced English to work with global teams - Experience in technology companies, marketplaces, delivery platforms, or high-volume commercial operations is preferred