Job Description

The team prides itself on harnessing the power of this data. We test and learn, build tools and lead meaningful analyses to extract insights that influence company's product and business strategy.
We’re looking for a self-motivated critical thinker whose intellectual curiosity is met with a healthy dose of skepticism. You value the integrity of your work, sanity check analyses before drawing conclusions, and take pride in telling stories with data. You are a team player who is an excellent communicator, quick learner, and as excited about Yelp as we are.
This opportunity requires you to be located in the United Kingdom.

• Lead broad analytics projects core to our business, communicate key insights to decision makers, and help product leaders uncover new opportunities.
• Manage tight deadlines and quickly iterate analyses to answer unstructured business questions, deliver actionable learnings, and make strategic recommendations.
• Work cross-functionally with product and engineering to define, log, and track company’s key product metrics and opportunity size new initiatives.
• Generate dashboards and automate reports that empower teams across the organization to make data-driven decisions.
• Grow and maintain impactful relationships with stakeholders of both technical and non technical backgrounds with clear and frequent communication.
• Think critically about experimental design and advocate for thoughtful experimentation.

What You'll Get?

• Full responsibility for projects from day one, an awesome team, and a dynamic work environment.
• Competitive salary with equity in the company, a pension scheme, and an optional employee stock purchase program.
• 25 days paid holiday initially (rising to 29 with service), plus one floating holiday.
• Private health insurance, including dental and vision.
• Flexible working hours and meeting-free Wednesdays.
• Regular 3-day Hackathons and weekly learning groups, always with interesting topics.
• Opportunities to participate in digital events and conferences.
• £56 per month toward any wellness activity of your choice.
• Quarterly team off sites.

Required Knowledge, Skills, and Abilities

• BA/BS or graduate degree in a quantitative field (mathematics, statistics, economics etc.)
• Several years of quantitative industry experience, ideally within the consumer product space
• Excellent SQL skills, fluency in Python, and experience with at least one statistical package (R, Pandas/NumPy/SciPy/matplotlib, Stata, Matlab).
• An eye for compelling data visualization and extensive experience with related tools (Tableau, Mode, Looker).
• Solid understanding of statistical inference, experimental design and analytic bias. Familiarity with financial modeling and advanced statistics (regression, non parametrics, predictive modeling) a plus.