Analyst, Business Planning & Forecasting
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 a Senior Analyst to join our Business Forecast & Planning team within Customer Care Operations. This role sits at the center of forecasting and capacity strategy for our global support organization, translating complex operational and business signals into clear, actionable plans. You'll partner closely with operations leadership to keep resourcing aligned with the business, separating what truly matters from the noise, and helping shape decisions that affect how we staff and scale support.
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
- July 22, 2026
- First seen
- July 22, 2026
- Last seen
- July 22, 2026
Posting Health
- Days active
- 0
- Repost count
- 0
- Trust Level
- 67%
- Scored at
- July 22, 2026
Signal breakdown
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