Data Analyst

Lyft

Confirmed live today High trust
Hybrid

Quick summary

Work type
Hybrid
Location
New York, NY
Salary
$140,000–$190,440 / yr
Posted
10 days ago
Freshness
Confirmed live today

Market check

Salary context

Above market

How this pay compares to similar roles

Similar $141k
This role $165k
$85k $202k
below market most similar roles pay here above market

This role pays more than 78% of similar roles. Most pay $120,000–$162,000 — the blue band above. At the midpoint, this role pays about $165k versus about $141k for comparable roles.

Based on 240 similar postings.

Employer

About Lyft

Lyft is a transportation network company offering ride-hailing services across the US and Canada.

Lyft currently has 35 open roles on FindRole.

Listed pay typically runs $148,000–$185,000 across 31 roles with salary data.

Most-posted roles

View all roles at Lyft

At a glance

TL;DR · Data Analyst

The Data Analyst will join the team to influence product roadmaps through rigorous analytics, financial modeling, and business modeling. The role involves developing hypotheses and analytical frameworks to understand pricing dynamics and market outcomes while extracting relevant information from collected data. Key responsibilities include building efficient tools, systems, and processes to manage pricing and driver earnings at scale. The successful candidate will develop and test quantitative models, support software, and analytical tools. Required technical skills include experience with quantitative analysis, predictive modeling, machine learning, and authoring data pipelines. Proficiency in programming languages such as C++, R, and Python is necessary, along with knowledge of algorithms, database applications, and analytical software to solve complex business problems within the transportation and marketplace domain.

What does a Data Analyst earn?

Median $126775 from 72 postings across 23 companies.

See salary data

What you'll do

  • Influence product roadmaps through analytics and financial and business modeling.
  • Develop hypotheses and analytical frameworks to understand pricing dynamics and market outcomes.
  • Analyze collected data to extract information relevant to specific business problems.
  • Build efficient tools, systems, and processes to manage pricing and driver earnings at scale.
  • Develop and test quantitative models, supporting software, and analytical tools.
  • Author data pipelines and utilize programming languages for quantitative analysis.

What we're looking for

  • Master's degree or foreign equivalent in Operations Research, Analytics, or a related field.
  • 3 years of experience in the job offered, analytics, or a related occupation.
  • Experience with quantitative analysis, predictive modeling, and machine learning.
  • Experience with programming languages, analytical software, and database applications.
  • Experience with business analytics and authoring data pipelines.
  • Experience with optimization and programming, including C++, R, Python, and algorithms.

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