Product Analyst
@ Lyst

Hybrid
Hybrid
Full Time
Posted 3 days ago

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XXXXXXXX XXXXXXXXX XXXXXXXX***** @lyst.com
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Job Details

About Lyst

Lyst is a global fashion shopping platform founded in London in 2010, catering to over 160M shoppers per year. The platform offers the largest assortment of premium & luxury fashion products by curating pieces from 27,000 leading brands and stores.

The Role

As a Senior Product Analyst, you will join the Analytics Chapter and work closely with Product stakeholders to drive impact through experimentation. This role involves mentoring other analysts, designing experiments, and collaborating with Engineering and Analytics Engineering teams.

Responsibilities

  • Own and improve Lyst’s experimentation practices.
  • Mentor Product Analysts and manage at least one analyst.
  • Design and analyze experiments with end-to-end stakeholder guidance.
  • Collaborate with Engineering to ensure accurate data capture.
  • Drive Lyst’s data strategy across Product and Analytics.
  • Utilize Bayesian and Causal Inference techniques for analysis.
  • Apply advanced modeling, SQL, and statistical analysis skills.
  • Manage complex projects with cross-functional teams and senior stakeholders.

Benefits & Perks

Lyst offers flexible hybrid work arrangements (office on Tuesdays and Thursdays), an attractive holiday package, clothing allowance, private healthcare, annual training allowance, pension scheme, eye tests, cycle-to-work scheme, transport season ticket loan, and regular social events.

Our Commitment

Lyst is dedicated to building a diverse, inclusive, and authentic workplace. We encourage candidates from all backgrounds to apply and are open to flexible working arrangements.

Key skills/competency

  • Product Analysis
  • Experimentation
  • SQL
  • Statistical Analysis
  • Advanced Modeling
  • Data Strategy
  • Mentorship
  • Bayesian
  • Causal Inference
  • Collaboration

How to Get Hired at Lyst

🎯 Tips for Getting Hired

  • Research Lyst's culture: Study their values and recent news.
  • Tailor your resume: Highlight analytics and experimentation experience.
  • Prepare case studies: Showcase project management and mentorship.
  • Practice technical interviews: Refine SQL and modeling skills.
  • Engage on LinkedIn: Connect with current employees for insights.

📝 Interview Preparation Advice

Technical Preparation

Refresh advanced SQL query techniques.
Study statistical analysis methods.
Review experimental design and Bayesian methods.
Practice data modeling and causal analysis.

Behavioral Questions

Demonstrate teamwork examples.
Explain conflict resolution scenarios.
Show mentoring and leadership instances.
Describe handling cross-functional challenges.

Frequently Asked Questions