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WellhubPosted 3 weeks ago
EXPIRED

Sales Operations Sr Manager

HybridSão Paulo, São Paulo, Brazil

Full TimeSenior LevelLargeHealthcare Tech

Job Summary

Own the analytical framework for the SMB sales segment by extracting and analyzing large datasets to uncover trends and translate them into actionable go-to-market strategies. Architect robust forecasting models tailored to a high-volume environment, predict future performance, and proactively alert leadership to underlying drivers. Independently lead cross-functional initiatives to eliminate bottlenecks, design automated workflows to scale rep productivity, and drive territory design and quota-setting strategy using advanced data modeling. Act as a trusted advisor to senior leadership, pushing back when data suggests a different path and partnering with Sales VPs to deploy compensation plans. This role requires advanced proficiency in SQL, data visualization tools, and Python, with mandatory experience in designing forecasting models and advanced English skills. The position is located in São Paulo, Brazil, with a hybrid schedule.

Required Qualifications

  • relevant previous years of work experience
  • Sales Operations
  • Revenue Operations
  • Business/Sales Analytics
  • Management Consulting
  • proven track record of driving impact in a high-volume B2B Sales environment
  • consultant's mindset
  • thrive in ambiguity
  • demonstrated ability to take vague business questions, structure them into actionable analytical projects, and deliver high-impact strategic recommendations
  • deeply data-driven
  • technically self-sufficient
  • advanced proficiency in SQL to query complex databases
  • expert in data visualization and BI tools (e.g., Tableau, Looker, PowerBI)
  • advanced or fluent in English
  • prior experience in designing and architecting robust forecasting models tailored
  • advanced analytical skills
  • advanced English

Desired Qualifications

  • Experience with Python
  • prior experience working with Salesforce (or similar CRMs)
  • deep understanding of CRM data architecture

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