Analytics Lead, Product Insights - Rider Experience

At Lyft, our purpose is to serve and connect. We aim to achieve this by cultivating a work environment where all team members belong and have the opportunity to thrive.

Data and analytics are at the heart of Lyft’s products and decision-making. The Rider organization is focused on building a seamless, best-in-class rideshare experience for riders. As a Data Analyst on the Rider Experience team, you’ll partner directly with cross-functional stakeholders to identify opportunities and design solutions for improving Rider’s experience. You’ll leverage your analytical expertise to deliver actionable insights and recommendations to drive quality business decisions with customer-facing impact. 

The ideal candidate is obsessed with improving customer experience with data insights, a critical thinker and exceptional problem solver who can identify business opportunities and drive impact and cross-functional alignment, shaping product and business strategy through data-centric presentations.

Responsibilities

• Manages and owns the end-to-end analysis on rider experience, including creating frameworks, defining key metrics, develop dashboards and monitoring business health to drive decision-making and prioritization based on Lyft's business, strategy, and mission
• Work closely with cross-functional partners (e.g. Engineering, Product, Marketing) to deliver actionable data-driven insights and identify opportunities for continuously improving the rider experience 
• Monitor and diagnose rideshare offerings product performance and present findings to senior leadership 
• Creates and monitors product performance dashboards and communicates findings to cross-functional team
• Act as a subject matter expert and thought partner in focused product area
• Breaks down complex problems from end to end and leads execution towards business impact with clear goals. 
• Design A/B testing and execute analyses to evaluate the impact of new product feature improvements

Experience:

• Degree in a quantitative field (e.g. statistics, applied math, economics, engineering).
• 4+ years of  relevant work experience.
• Experience in leading data-driven projects from definition to execution. 
• Proficiency in SQL and Python. 
• Strong problem-solving and analytical skills with the ability to transition between data and business problems.
• Exceptional communication (listening, written, and oral) skills with the ability to present findings & recommendations targeted to the audience in question.
• Strong interpersonal skills, with the ability to build relationships and trust across functions and work collaboratively.
• Experience in online experimentation and statistical analysis.
• Passion for driving business impact with data.
• Preferred:
  • Advanced degrees in quantitative fields.
  • Experience with two-sided market problems.
  • Experience in driving product growth with data insights, including understanding user behaviors, long-term user value, and product lifecycle.  

Benefits:

• Extended health and dental coverage options, along with life insurance and disability benefits
• Mental health benefits
• Family building benefits
• Child care and pet benefits
• Access to a Lyft funded Health Care Savings Account
• RRSP plan to help save for your future
• In addition to provincial observed holidays, salaried team members are covered under Lyft's flexible paid time off policy. The policy allows team members to take off as much time as they need (with manager approval). Hourly team members get 15 days paid time off, with an additional day for each year of service 
• Lyft is proud to support new parents with 18 weeks of paid time off, designed as a top-up plan to complement provincial programs. Biological, adoptive, and foster parents are all eligible.
• Subsidized commuter benefits

Lyft is an equal opportunity employer committed to an inclusive workplace that fosters belonging. 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, age, genetic information, or any other basis prohibited by law. We also consider qualified applicants with criminal histories consistent with applicable federal, state and local law.

Lyft highly values having employees working in-office to foster a collaborative work environment and company culture. 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, Wednesdays, and Thursdays. Lyft considers working in the office at least 3 days per week to be an essential function of this hybrid role. Your recruiter can share more information about the various in-office perks Lyft offers. Additionally, hybrid roles have the flexibility to work from anywhere for up to 4 weeks per year. #Hybrid

The expected base pay range for this position in the Toronto area is CAD $102,000 - CAD $127,500. 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.

Total compensation is dependent on a variety of factors, including qualifications, experience, and geographic location. Your recruiter can share more information about the salary range specific to your working location and other factors during the hiring process.