Data Analyst
Strategy & Diagnostics
Posted on 2/1/2024
Lyft

10,001+ employees

Ridesharing app
Company Overview
Lyft's mission is to improve people's lives with the world's best transportation. The company operates a mobile platform for the ridesharing of cars, bikes, and scooters and serves over a million rides per day.

Company Stage

Series I

Total Funding

$4.4B

Founded

2012

Headquarters

San Francisco, California

Growth & Insights
Headcount

6 month growth

1%

1 year growth

-1%

2 year growth

2%
Locations
San Francisco, CA, USA
Experience Level
Entry
Junior
Mid
Senior
Expert
Desired Skills
Communications
Data Science
SQL
Business Strategy
Data Analysis
CategoriesNew
Business & Strategy
Data & Analytics
Requirements
  • 3+ 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
  • Proficiency in SQL
Responsibilities
  • Develop hypotheses and analytical frameworks for understanding market dynamics and provide recommendations to senior leadership
  • Influence business strategy and product roadmaps through insightful analytics and business modeling
  • Analyze marketplace product & marketplace trends and provide cross-functional teams with actionable insights on improvements and problem areas
  • Evaluating areas of improvement and business growth opportunities within our business
  • Work in a fast-paced environment and effectively manage time to deliver business impact in a time-efficient manner
  • Become an expert in marketplace trends and support weekly reporting for the senior leadership
Desired Qualifications
  • 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
  • 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