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 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

• 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; deep dive into large amounts of data, draw meaningful insights, dissect business issues and draw actionable conclusions
• Ability to develop scalable approaches and produce data visualizations to drive business insights and provide tangible solutions; experience building dashboards for performance analysis is a plus
• Extreme comfort working with ambiguity; 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
• 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

Nice-to-Haves

• 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
• Discretionary paid time off (salaried team members); 15 days paid time off (hourly team members); 12 observed holidays
• 18 weeks of paid parental leave (biological, adoptive, and foster parents eligible)
• Subsidized commuter benefits
• Monthly Lyft credits and complimentary Lyft Pink membership