Level

Lyft

Analytics Lead, Decisions & Insights

Lyft is hiring an Analytics Lead, Decisions & Insights in New York, United States. It pays $118k-$148k a year and Level rates it ; you can apply on Lyft.

Level's read on this job

  • Little AI ●○○○ is how Level rates this role: aI is not part of the work.
  • The posting mentions data analysis, business modeling and strategic planning among its tools and skills.
  • Level classes it as a lead role.
  • Lyft has 181 other open roles on Level.

AI in this role

Analytics Lead to drive deep dive business and product analyses, developing frameworks and strategies to accelerate marketplace growth.

data-analysisbusiness-modelingstrategic-planningcross-functional-leadershipproblem-solving

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.

The Central Market Management organization at Lyft is responsible for accelerating the growth of the business and for delivering our top business/company goals related to marketplace and business performance.

Within Central Market Management, the Decisions & Insights team identifies and develops an understanding of our marketplace’s most critical problems & opportunities and creates business & product strategies to address them.  We’re looking for an Analytics Lead to drive deep dive business & product analyses and drive growth.

The ideal candidate has strong analytical problem solving skills, effective communication skills, and proactively takes ownership of their workstreams.

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. Be an analytical thought leader.
  • Analyze marketplace product & marketplace trends and provide cross-functional teams with actionable insights on improvements and problem areas.
  • Work in a fast-paced environment and effectively manage time to deliver business impact in a time-efficient manner
  • Partner with Data Science, Product, Engineering, and other teams to deliver business, product, and strategy improvements
  • Be proactive in pursuing opportunities and have a true ownership mindset to get things done

Experience:

  • 5+ 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
  • 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
  • You are a self-starter, take ownership, and are proactive; you have an eagerness to identify opportunities and a drive for impact
  • Skills
    • 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
    • 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
    • Proficiency in SQL

Benefits:

  • Great medical, dental, and vision insurance options with additional programs available when enrolled
  • Mental health benefits
  • Family building benefits
  • Child care and pet benefits
  • 401(k) plan with company match to help save for your future
  • In addition to 12 observed holidays, salaried team members have discretionary paid time off, hourly team members have 15 days paid time off
  • 18 weeks of paid parental leave. Biological, adoptive, and foster parents are all eligible
  • Subsidized commuter benefits
  • Monthly Lyft credits and complimentary Lyft Pink membership

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 New York City area is $118,000 -$147,500, not inclusive of potential equity offering, bonus or benefits. Salary ranges are 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.

How we rate this

Analytics Lead, Decisions & Insights at Lyft rates 0 out of 100 for how much of the daily work is AI. That makes it Little AI (AI Level 1 of 4). The level is about AI in the job, not seniority.

Classification

Little AI. AI is not part of the work.

  1. ●●●● Builds AI80 to 100
  2. ●●●○ Works on AI60 to 79
  3. ●●○○ Uses AI40 to 59
  4. ●○○○ Little AI0 to 39

Levels come from how often the tools, models and workflows of the role are named in the posting itself. Read the description and count the AI tools, models and workflows it names.

Prepare for this job

Built from this posting and from similar jobs on Level.

Skills and AI tools this role asks for

Data AnalysisBusiness ModelingStrategic PlanningCross Functional LeadershipProblem Solving

Questions you could be asked

  1. Tell me about a project where data analysis was part of your work. What did you do?
  2. Tell me about a project where business modeling was part of your work. What did you do?
  3. Tell me about a project where strategic planning was part of your work. What did you do?
  4. Tell me about a project where cross functional leadership was part of your work. What did you do?
  5. Tell me about a project where problem solving was part of your work. What did you do?

Adapt your resume

  • List these exact terms on your resume: Data Analysis, Business Modeling, Strategic Planning, Cross Functional Leadership, and Problem Solving. An applicant tracking system matches the wording, not the idea.
  • Attach one line of real, concrete experience to at least one of them. A tool named with nothing behind it rarely survives a human read.

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