Data Analyst, Operations Planning

Responsibilities

• Partner with Product, Engineering, Data Science & Analytics, Operations, Finance and other cross-functional stakeholders on initiatives to improve operational performance
• Develop frameworks and scalable processes to streamline reporting, drive decision-making and prioritization
• Forecast operational requirements needed to maintain high service levels and meet contractual and financial targets
• Work with our bike & scooter share markets to deliver ongoing support and deep dive analyses on performance; monitor and diagnose performance and present findings to key stakeholders
• Collaborate with cross-functional teammates to tackle complex problems including: asset maintenance, system health and labor forecasting

Requirements

• Experience: 3+ years experience in data analytics in a high-growth environment, preferably a consulting, operations or transportation / logistics space
• Bachelor's Degree or equivalent relevant professional experience
• Highly skilled in SQL and quantitative analysis. You can deep dive into large amounts of data, draw meaningful insights, dissect business issues and draw actionable conclusions
• Experience building scalable approaches and producing data visualizations to drive business insights and provide tangible solutions; experience building dashboards for performance analysis is a plus
• Extreme comfort working with ambiguity. Ability to translate unclear issues or unstructured problems into clearly defined requirements with minimal oversight
• Strong interpersonal skills, with the ability to build relationships, trust and influence with cross-functional partners
• Great communication (listening, written, and oral) skills with the ability to present findings & recommendations targeted to the audience in question
• Strong attention to detail, structured thinking and experiences developing processes to reduce human error
• Adept at contextualizing real world operations into analytical problem solving
• Passionate about sustainable mobility and active transportation
• Strong sense of product ownership - you’re constantly looking for ways to improve the customer’s experience and aren’t afraid to get your hands dirty to do so

Qualifications

• Proficiency in Python and associated data science libraries

Benefits

• Great medical, dental, and vision insurance options with additional programs available when enrolled
• Mental health benefits
• Family building benefits
• Child care and pet benefits
• 401(k) plan with company match to help save for your future
• 12 observed holidays, salaried team members have discretionary paid time off, hourly team members have 15 days paid time off
• 18 weeks of paid parental leave. Biological, adoptive, and foster parents are all eligible
• Subsidized commuter benefits
• Monthly Lyft credits and complimentary Lyft Pink membership

Pay

Your recruiter can share more information about the salary range specific to your working location and other factors during the hiring process.

Schedule

Your recruiter can share more information about the various in-office perks Lyft offers and the hybrid schedule specific to your role.