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Analytics Lead – Driver Fleets
Company | Lyft |
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Location | Toronto, ON, Canada |
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Salary | $102000 – $127000 |
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Type | Full-Time |
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Degrees | |
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Experience Level | Mid Level, Senior |
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Requirements
- 4-7+ years experience in management consulting, strategic data science/analytics roles in a technology company, or an equivalent analytical role in a high growth startup
- Experience in leading high visibility projects and influencing others in a cross-functional team environment
- Experience in communicating with and presenting to senior leaders and data storytelling
- Strong ability in building decision making frameworks and data analysis, able to understand business issues, analyze large amounts of data, and draw actionable conclusions
- Proficiency in SQL
Responsibilities
- Develop frameworks and deliver analyses to guide decision-making and prioritization across functions
- Uncover new areas of opportunity to grow Lyft’s driver population
- Manage, build, and automate models and reporting to provide regional and national teams with actionable insights on volume, efficiency, and driver experience
- Utilize data and analyses to influence business strategy and product roadmaps
- Regularly partner with Product, Engineering, Operations, Marketing, and Data Science
- Present findings, recommendations, and results to senior leadership and cross-functional stakeholders
Preferred Qualifications
- Ability to independently break down large datasets and synthesize inputs from multiple sources
- Ability to think strategically about complex and unstructured business problems, leading to recommendations and action plans
- Ability to craft a compelling story and concisely present recommendations across teams and levels including both technical and non-technical audiences
- Ability to manage, influence, negotiate, and inspire others in a fast-moving environment
- Ability to use data visualization tools to provide actionable insights and reusable frameworks
- Strong written and verbal communication skills for internal stakeholders, including senior leadership
- Strong product and user experience sense
- Excellent organization, planning skills, and attention to detail
- Advanced analytical and problem solving skills