Lead Data Analyst, Airports (Hybrid)

Key Skills

Analytical and Problem solving, Data Analytics, Data science techniques, Environmental, Leadership Skill, Operations, Presentation skills, SQL, Writing

Job Description

At Lyft, our mission is to improve people’s lives with the world’s best transportation. To do this, we start with our own community by creating an open, inclusive, and diverse organization.

Data is at the heart of Lyft’s products and decision-making. As a data analyst on a cross-functional team, you’ll drive deep dives and uncover insights to make actionable recommendations to support critical operational, business, and product decisions. We’re looking for passionate problem solvers with business savvy to take on some of the most interesting problems 

On the airport team, you’ll have the opportunity to work cross functionally with our Product, Data Science, and Operations partners… to name a few. You will also work closely with other teams to develop vital relationships and learn various facets of our product to help keep the airport business running. Our team works quickly to understand our customers, improve our marketplace, and build a better experience for Lyft’s Riders and Drivers. 

Responsibilities:

• Monitor performance of data to track the health of business and uncover opportunities for growth
• Perform exploratory data analysis to gain a deeper understanding of the problem
• Develop deep understanding of and intuition for our business to advise on product and marketplace changes 
• Analyze experimental and observational data; communicate findings; facilitate launch decisions
• Partner and develop strong relationships with cross functional teams to translate analytical insights into decisions and action

 Experience & Skills:

• 3+ years experience in an analytics role or equivalent
• Proficiency in SQL - able to write structured and efficient queries on large data sets
• Experience with A/B testing 
• Demonstrated data analysis and problem-solving skills
• Strong business writing, presentation building & delivery, executive briefings skills
• Ability to build relationships with cross-functional stakeholders and drive shared outcomes
• Works effectively in a fast paced environment requiring new perspectives and creative approaches, and with multiple competing deadlines
• A drive to understand the core issues along with the determination to uncover the solution 

Benefits:

• Great medical, dental, and vision insurance options
• Mental health benefits
• Family building benefits
• In addition to 12 observed holidays, salaried team members have unlimited paid time off, hourly team members have 15 days paid time off
• 401(k) plan to help save for your future
• 18 weeks of paid parental leave. Biological, adoptive, and foster parents are all eligible
• Pre-tax commuter benefits
• Lyft Pink - Lyft team members get an exclusive opportunity to test new benefits of our Ridership Program

Lyft is an equal opportunity/affirmative action employer committed to an inclusive and diverse workplace. All qualified applicants will receive consideration for employment without regards to race, color, religion, sex, sexual orientation, gender identity, national origin, disability status, protected veteran status or any other basis prohibited by law. We also consider qualified applicants with criminal histories consistent with applicable federal, state and local law.

Starting in September 2023, this role will be in-office on a hybrid schedule — Team Members will be expected to work in the office 3 days per week on Mondays, Thursdays and a team-specific third day. Additionally, hybrid roles have the flexibility to work from anywhere for up to 4 weeks per year

The expected range of pay for this position in the San Francisco area is $150,000 - $167,000. Salary ranges are dependent on a variety of factors, including qualifications, experience and geographic location. Range is not inclusive of potential equity offering, bonus or benefits. Your recruiter can share more information about the salary range specific to your working location and other factors during the hiring process.