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Data Analyst

Lyft
Hybrid - New York, NY, 3 days/week (Mon/Wed/Thu)Updated 11h ago
Base salary
$140k–$190k
Published base salary range
Location
Hybrid - New York, NY, 3 days/week (Mon/Wed/Thu)
Remote eligibility
Employment
Full-time
Mid-level
Role family
Data
Logistics
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About the job

About the Role

Lyft is seeking a Data Analyst to join the Marketplace team in New York, NY. In this role, you will influence product roadmaps through analytics and financial and business modeling. You will develop hypotheses and analytical frameworks for understanding pricing dynamics and market outcomes, analyze data to extract relevant information, and work closely with product leads to build efficient tools, systems, and processes for managing pricing and driver earnings at scale. You will also develop and test quantitative models, support software, and analytical tools.

Qualifications

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

Compensation & Benefits

The expected base pay range for this position in the New York City area is $140,000 - $190,440/year. Benefits include medical, dental, and vision insurance, mental health benefits, family building benefits, child care and pet benefits, a 401(k) plan, 12 observed holidays, discretionary paid time off for salaried team members (15 days for hourly), 18 weeks of paid parental leave, subsidized commuter benefits, and Lyft Pink.

Work Arrangement

This is a hybrid role, with team members expected to work in the office 3 days per week on Mondays, Wednesdays, and Thursdays. Hybrid roles have the flexibility to work from anywhere for up to 4 weeks per year.

Skills & tags

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