Вакансия из Hirify Global, списка международных tech-компаний Для мэтча и отклика нужен Plus
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У роли понятный фокус на продуктовой аналитике и четко описанные задачи, но обязательные три дня в офисе в неделю ограничивают гибкость.
Офис три дня
Понятные задачи
Рекламные технологии
Актуальные инструменты
Мэтч & Сопровод
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Описание вакансии
Текст:
Hirify AI/Оригинал
TL;DR
Product Analyst (Ad Tech): Analyzing product, operational, and commercial data for an ad-tech product organization with an accent on data discovery, analytical solution design, and evidence-based product decisions. Focus on investigating trends and anomalies, building dashboards, supporting OKRs, and translating complex findings into actionable recommendations.
Location: Holborn, London; hybrid working with a minimum of three office days each week, including at least two Mondays and two Fridays each month.
Company
Media and entertainment business operating platforms for broad audiences, with a focus on inclusive and collaborative workplaces.
What you will do
Investigate product, operational, and commercial data across product squads to uncover insights, trends, anomalies, delivery behaviours, and performance shifts.
Turn ambiguous business questions into structured analysis, clear insights, and evidence-based recommendations for product discovery, prioritisation, strategy, and OKRs.
Gather requirements and partner with Product Owners, Engineers, Operations, and commercial stakeholders to design analytical solutions.
Build dashboards and analytical outputs for product discovery, troubleshooting, prioritisation, and ongoing performance monitoring.
Support benchmarking, product planning, data quality awareness, and consistent analytical ways of working across the product organisation.
Collaborate across squads and functions to improve data-informed product decision-making.
Requirements
3+ years of experience as a Product Analyst, Data Analyst, or in a similar analytical role.
Experience working closely with product, engineering, or delivery teams on discovery, prioritisation, and product decision-making.
Ability to take work from problem definition and requirements gathering through analysis, insight generation, and presentation.
Strong experience working with large and complex datasets in a commercial environment.
Strong SQL skills and confidence querying, validating, and exploring data independently.
Experience with dashboarding and visualisation tools such as Tableau, Power BI, or similar.
Experience building clear and useful dashboards and reports for business and product stakeholders.
Strong analytical mindset, curiosity to investigate trends and anomalies, and ability to ask the right questions.
Ability to translate complex findings into simple, compelling narratives and recommendations for non-technical audiences.
Excellent stakeholder management and collaboration skills across multiple squads and functions.
Strong attention to detail and a structured approach to problem-solving.
Culture & Benefits
Inclusive workplace with support for different needs and working styles.
Reasonable adjustments available during recruitment and in the workplace.
Smart Working approach balancing flexibility with in-person collaboration.
Office attendance is normally required at least three days per week, with office days distributed across the week.
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