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У роли понятная лидерская зона ответственности, сбалансированное сочетание продуктовой аналитики и BI, а также влияние на работу разных команд; задачи с AI связаны с применением инструментов, а не разработкой моделей.
Актуальные технологии
Понятная роль
Щедрые льготы
?Практика с AI
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Описание вакансии
Текст:
Hirify AI/Оригинал
TL;DR
Analytics Manager (AI) (Product Analytics/Business Intelligence): Leading a dual-domain analytics team and developing analytics products, executive reporting, and self-service capabilities for a luxury resale platform with an accent on product insights, data strategy, and business decision support. Focus on mentoring analysts, partnering with Data Engineering, maintaining trusted KPIs, and applying AI tools to automate insights and solve business challenges.
Location: Porto, Portugal; hybrid
Company
Luxclusif is a technology-driven B2B platform for the global luxury resale market, part of hirify.global since 2021, combining data-driven solutions with fashion operations, logistics, and technology integrations.
What you will do
Lead and mentor a dual-domain Analytics Team across product analytics and business intelligence, setting technical standards and best practices.
Support product development by tracking feature adoption, user behavior, and value drivers.
Perform deep-dive diagnostic analyses for executive and business leaders, including sales and returns investigations.
Model scenarios, evaluate growth opportunities, and provide quantitative support for strategic business cases.
Manage core company KPIs, executive dashboards, and the self-service analytics platform.
Partner with Data Engineering to improve data infrastructure, quality, availability, and AI-enabled analytical efficiency.
Requirements
Proven experience as an Analytics Manager or Lead Analyst across both Business Intelligence and Product Analytics.
Strong communication and stakeholder-influence skills, with the ability to connect technical data with business strategy.
Experience collaborating with Data Engineers and understanding the importance of reliable data pipelines and scalable data ecosystems.
Strong SQL and Python skills with a data-driven approach to testing theories and measuring success.
Curiosity and willingness to learn practical applications of AI tools for improving analytics output; backend model development is not required.
Flexible, approachable attitude and strong problem-solving skills, with the ability to adapt to changing business needs.
Culture & Benefits
Hybrid work environment at the Porto hub.
Health insurance for the whole family and additional well-being resources.
25 days of annual leave above the statutory allowance, plus two Caring Days per year.
Boomerang sabbatical program after five years of service.
Training opportunities, free LinkedIn Learning access, and a flexible benefits program.
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