Analyst, Global Support Workforce Planning
Quick Summary
Support the development and upkeep of the models and frameworks that connect business drivers to staffing and resourcing decisions Translate large, complex, and sometimes ambiguous data into clear,
At Lyft, our purpose is to serve and connect. We aim to achieve this by cultivating a work environment where all team members belong and have the opportunity to thrive.
Lyft is seeking an Analyst to join our Business Forecast & Planning team within Customer Care Operations. This role owns the forecasting, capacity, and scheduling models that keep our global support workforce sized and staffed correctly. You'll work hands-on with our BPO partners to translate demand signals into staffing plans, and bring deep contact centre planning expertise to a team managing support at scale across multiple sites and geographies.
Responsibilities
~1 min read- →Support the development and upkeep of the models and frameworks that connect business drivers to staffing and resourcing decisions
- →Translate large, complex, and sometimes ambiguous data into clear, actionable insights that support leadership recommendations
- →Own day-to-day planning execution, from dashboards maintenance and reporting to business reviews, with a sharp focus on accuracy and the details that matter
- →Leverage AI tools to build and maintain dashboards, reports, and analyses that support the team's recommendations and insights
- →Identify and help drive opportunities to improve how the team plans and operates
- →Move quickly on ambiguous, time-sensitive requests, using modern tools to work smarter and faster
- 2+ years in planning, forecasting, capacity/resource management, or a related analytical role; consulting, investment banking, FP&A, or ops strategy backgrounds also fit well
- Sharp analytical mindset with hands-on SQL and Python skills
- AI fluency, comfortable using AI tools to accelerate analysis and problem-solving
- Strong business acumen paired with genuine curiosity about how large, complex business systems work; fast learner with a bias towards action, comfortable building context quickly across new systems and stakeholders
- Self-directed, with a track record of turning data into real decisions; strong communicator, able to build trust with stakeholders across functions and levels
- Exposure to workforce management/resource planning is a plus
- Bachelor's degree in Business, Engineering, Data Science, or a related quantitative field; advanced degree a plus
What We Offer
~3 min readLocation & Eligibility
Listing Details
- Posted
- August 20, 2026
- First seen
- August 20, 2026
- Last seen
- August 21, 2026
Posting Health
- Days active
- 0
- Repost count
- 0
- Trust Level
- 67%
- Scored at
- August 20, 2026
Signal breakdown
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