Head of Product Analytics – Experimentation

Posted Oct 29

This is a fully remote position, open to applicants in United Kingdom, +3 more countries.

πŸ“‹ Description

β€’ Oversee product analytics at qlub

β€’ Develop and expand the experimentation engine to facilitate 50+ A/B tests monthly

β€’ Configure and enhance the current A/B testing platform

β€’ Establish benchmarks for test design, sample sizing, metrics, and safeguards

β€’ Analyze experimentation outcomes

β€’ Educate product managers and operations leaders on conducting effective experiments

β€’ Create playbooks, templates, and review processes

β€’ Define the analytical data model, encompassing entity and event design, slowly changing dimensions, semantic layers, and metric definitions

β€’ Implement data contracts and governance standards in collaboration with Tech and Data Engineering

β€’ Mentor and develop a team of three junior analysts and one senior analyst

β€’ Work in partnership with Product, Operations, Tech, and Data Engineering teams

β€’ Engage with executives and non-technical stakeholders


⛳️ Requirements

β€’ 5+ years of experience in analytics or data science, including tenure at a large data-driven organization or a contemporary data or experimentation platform

β€’ Practical experience in establishing or scaling an experimentation program

β€’ Strong foundation in statistics: power analysis, variance reduction, sequential testing, and common pitfalls

β€’ Proficient in data modeling: dimensional modeling, slowly changing dimensions, event schema design, dbt, and high-level SQL

β€’ Proven ability to drive change and implement new practices within organizations

β€’ Effective communication skills with executives and non-technical stakeholders

β€’ Knowledge of data science and predictive modeling, including forecasting (preferred)

β€’ Experience in constructing an AI-first data stack and adopting an AI-first perspective on analytical challenges (preferred)

β€’ Understanding of data governance frameworks, marketing analytics, and attribution (preferred)

β€’ Familiarity with dbt, Airflow, Git, Google Cloud Storage (GCS), BigQuery, or ClickHouse (preferred)

β€’ Knowledge of Atlan, Alation, or OpenMetadata (preferred)


🏝️ Benefits

β€’ Genuine ownership of products that influence millions of diners and thousands of restaurants worldwide

β€’ Opportunity to tackle challenging issues in payments, hospitality, and customer experience

β€’ A dynamic environment where innovative ideas rapidly come to fruition

β€’ Close collaboration with seasoned operators, builders, and industry specialists

β€’ An opportunity to make a significant impact at one of the fastest-growing restaurant technology companies globally

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