Senior Associate Strategic Planning

Skills
AnalyticsAnnual PlanningBusiness IntelligenceContextData AnalyticsGlobal BusinessInternational Operations
Role

What the job involves

The main requirements, responsibilities and hiring steps.

Requirements

  • 2-4 years experience in strategy and operations business intelligence consulting project management or another analytical role
  • Strong Excel or Google Sheets and data management skills
  • SQL and dashboard-building experience
  • Required ability to turn messy data operational context and financial inputs into clear recommendations and trade-off decisions
  • Proven ability to support cross-functional projects from planning through execution
  • Strong written and verbal communication skills
  • Ability to assess whether a plan is analytically sound and practically executable
  • Self-starter comfortable with ambiguity and multiple workstreams
  • Comfortable working across regions time zones and different market contexts
  • Bachelor’s degree or equivalent practical experience

Nice to have

  • High-growth environment exposure
  • Mobility industry background
  • Logistics experience
  • Marketplace experience
  • Supply chain experience
  • Inventory planning exposure
  • Asset-heavy operations exposure
  • International operations exposure
  • Advanced analytical training

Day to day

  • Own and improve the regional fleet allocation engine used to decide where fleet is allocated rebalanced held or redeployed across markets
  • Build dashboards trackers datasets and recurring reports that give teams clear visibility into fleet availability market needs and decision gaps
  • Analyze demand utilization revenue ROI growth potential budget constraints and operational readiness to deliver clear recommendations for leadership and local teams
  • Support annual planning Capex planning budget forecasting market launches scale-ups and in-year fleet reviews with strong analytical insight
  • Partner with Operations Finance Supply Chain Logistics and local markets to validate assumptions and ensure decisions reflect real operational conditions
  • Monitor post-allocation outcomes identify logic gaps and continuously improve the allocation framework through cleaner data and more automated reporting