Pricing Analytics & Modeling Analyst – Hybrid

Digitailor

New York (NY)

Hybrid

USD 140,000 - 190,000

Full time

41 hours ago
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Benefits offered by this job

Great medical, dental, and vision
Mental health benefits
Family building benefits
Child care and pet benefits
401(k) plan
Paid time off: 12 holidays + 15 days (
18 weeks paid parental leave
Hybrid schedule: 3 days in office
Flexibility to work from anywhere up t

Job summary

Lyft is seeking a pricing analytics professional to influence product roadmaps through analytics and modeling in a hybrid office setting in New York City. The role focuses on pricing dynamics, market outcomes, and data-driven problem solving.

You will develop and test models, support software, and collaborate with product leads to scale pricing and driver earnings with robust analytical tools.

Qualifications

  • Master's degree or foreign equivalent in Operations Research, Analytics, or related field.
  • 3 years of experience in analytics or related occupation.

Responsibilities

  • Influence product roadmaps through analytics and financial and business modeling.
  • Develop hypotheses and analytical frameworks for pricing dynamics and market outcomes.
  • Analyze collected data and extract information relevant to problems.
  • Work closely with product leads to build tools, systems, and processes to manage pricing and driver earnings at scale.
  • Develop and test quantitative models, support software, and analytical tools.

Skills

Quantitative analysis
Predictive modeling
Machine learning
Data pipelines

Education

Master's degree in Operations Research / Analytics or related field

Tools

C++
R
Python

Job description

Lyft is seeking a pricing analytics professional to influence product roadmaps through analytics and modeling in a hybrid office setting in New York City. The role focuses on pricing dynamics, market outcomes, and data-driven problem solving.

You will develop and test models, support software, and collaborate with product leads to scale pricing and driver earnings with robust analytical tools.

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