Data-Driven Decision Analyst

2 weeks ago


Toronto, Ontario, Canada Yelp Full time
Company Overview

Yelp is a technology company that connects people with great local businesses. Our Ad Bid Optimization team works on challenging, multi-disciplinary problems at scale—spanning economics, machine learning, statistics, and engineering—with the goal of creating a valued marketplace between customers and advertisers.

Salary

$101,000-$247,000 annually (including bonus, restricted stock units, and benefits).

Job Description

We're seeking an experienced Data-Driven Decision Analyst to contribute to our marketplace for customers and advertisers by applying experimental and observational analysis alongside modeling and mechanism design.

The ideal candidate will have a strong background in economics/econometrics, several years of working experience, and understanding of marketplaces and incentive design when solving business problems. Experience with data analysis/modeling/statistical tools (e.g. Python/R/SQL) and ability to apply economic and econometric analysis to real-world problems are also essential.

Required Skills and Qualifications
  • Economics/econometrics background (Masters/PhD or equivalent practical experience)
  • Several years of working experience
  • Understanding of marketplaces and incentive design when solving business problems
  • Experience with data analysis/modeling/statistical tools (e.g. Python/R/SQL)
  • Able to apply economic and econometric analysis to real-world problems
Benefits

This opportunity has the option to be fully remote in all locations across Canada. You can expect competitive compensation, bonus, restricted stock units, and benefits package. We're committed to providing reasonable accommodations for individuals with disabilities in our job application process.

At Yelp, we believe that diversity is an expression of all the unique characteristics that make us human: race, age, sexual orientation, gender identity, religion, disability, and education — and those are just a few. We recognize that diverse backgrounds and perspectives strengthen our teams and our product.



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