aipythonsqldata analysisa b testingproduct analyticsexperimentationdashboardingmarketplace analytics
Вакансия из Hirify Global, списка международных tech-компаний Для мэтча и отклика нужен Plus
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У роли чёткий фокус на аналитике маркетплейса, экспериментах с продуктом и инфраструктуре для ИИ, что делает её сильной профессиональной возможностью; условия оплаты не указаны.
Senior Data Analyst (Marketplace): Analysing and improving marketplace health through supply-demand metrics, experimentation, dashboards, and product insights with an accent on fill rate, time-to-fill, participant availability, quality, and concentration. Focus on measuring matching and ranking improvements, investigating marketplace behaviour across segments, and turning complex data into actionable decisions for Product, Engineering, and Operations.
Location: United Kingdom; remote working available
Company
hirify.global provides a platform connecting researchers and companies with a global pool of participants to collect ethically sourced human behavioural data and feedback for AI development.
What you will do
Define, monitor, and improve marketplace health metrics covering supply-demand balance, fulfilment, quality, and concentration.
Analyse marketplace performance, including fill rate, time-to-fill, participant availability, and quality.
Partner with Product and Engineering to define success metrics and measure product and algorithmic improvements.
Analyse experiments involving matching, ranking, recommendations, and other marketplace experiences.
Build and maintain dashboards and reporting that make marketplace performance visible and actionable.
Investigate marketplace behaviour across customers, participants, use cases, and segments, and communicate actionable findings to technical and non-technical stakeholders.
Requirements
Strong SQL skills and experience analysing complex datasets.
Experience with marketplace, product, or operational data and metrics related to user and business behaviour.
Ability to work with supply and demand, fill rate, time-to-fill, availability, quality, and concentration metrics.
Experience analysing A/B tests or other experiments, including defining success metrics, interpreting results, and communicating findings.
Ability to turn product or marketplace questions into measurable hypotheses and structured analysis.
Ability to explore data to understand why changes occur, not only report outcomes.
Commercial awareness of how marketplace performance affects customer experience and wider business outcomes.
Ability to collaborate with Product, Engineering, and Operations teams and contribute analytical thinking to cross-functional work.
Ability to translate analysis into simple, actionable insights for technical and non-technical stakeholders.
Nice to have
Python experience for analysis and experimentation.
Culture & Benefits
Remote working within a mission-driven culture.
Work at the forefront of AI innovation using a human data platform.
Access to a platform supporting high-quality, ethically sourced human behavioural data and feedback.
Competitive salary and benefits.
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