Data Analytics Manager

1 month ago

San Francisco, California, United States Lyft Full time

At Lyft, our mission is to improve people's lives with the world's best transportation. To achieve this, we focus on creating an open, inclusive, and diverse organization.

The Safety & Customer Care (SCC) team aims to foster long-term loyalty to Lyft through exceptional support experiences. If we succeed, a Lyft customer will rarely interact with our support team. However, when they do, their issue will be resolved quickly, effectively, and with genuine care.

As a Data Analytics Manager, you'll collaborate with cross-functional stakeholders to identify opportunities and design solutions for enhancing our customers' support experiences. You will lead a team of Data Analysts in tackling complex problems, from shaping critical business decisions to prioritizing project roadmaps and identifying investment opportunities. You'll leverage your analytical expertise to deliver actionable insights and recommendations that drive quality business decisions with customer-facing impact.

Key Responsibilities

  • Lead a team of talented Data Analysts and mentor their professional and technical development.
  • 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 metrics to measure the success of strategic initiatives and the health of our support platform.
  • Work closely with cross-functional partners to deliver data-driven insights and actionable recommendations for continuously improving the customer support experience.

Requirements

  • Degree in a quantitative field like statistics, economics, applied math, operations research, or engineering.
  • 2+ years of leading a team of analysts or data scientists.
  • 6+ 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.
  • Strong problem-solving and analytical skills with the ability to transition between detailed data and high-level business problems.
  • Exceptional communication skills with the ability to present findings and 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 the ability to independently break down large datasets and synthesize inputs from multiple sources.

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 regard 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.

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 base pay range for this position in the San Francisco area is $114,000 - $142,000. 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.

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