Who you are

- Degree in a quantitative field like statistics, economics, applied math, operations research or engineering. Advanced degrees are preferred

- 2+ years of hands-on technical experience in a data science role or equivalent analytical role in a high growth startup

- Ability to translate unstructured business problems into clearly defined requirements with minimal oversight

- Solid problem-solving and analytical skills with the ability to transition between detailed data and high-level 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

- Proficiency in SQL and Python with ability to independently break down large datasets and synthesize inputs from multiple sources

What the job involves

- As a Data Analytics Lead, you’ll partner directly with cross-functional stakeholders to identify opportunities and design solutions for improving our customers’ support 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 a critical thinker and exceptional problem solver who can build strong relationships with different teams,



and who is eager to serve as a leader within the broader Support organization to drive our business forward

- Partner with Product, Engineering, Data Science & Analytics, Business Operations and other cross-functional stakeholders to achieve business goals

- Develop frameworks and scalable processes to drive decision-making and prioritization

- Define the metrics used to measure the success of strategic initiatives and health of our support platform; build dashboards to track metrics over time

- Design A/B tests and execute analyses to evaluate the impact of new product features and operational improvements

- Work closely with cross-functional partners to deliver data-driven insights and actionable recommendations for continuously improving the customer support experience

- Monitor and diagnose KPI performance and present findings to senior leadership

Benefits

- Great medical, dental, and vision insurance options

- Mental health 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

- Family building benefits
- Lyft Pink - Lyft team members get an exclusive opportunity to test new benefits of our Ridership Program

📌 Analytics Lead (Toronto)
🏢 Lyft
📍 Toronto