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5 дней назад

Marketing Analyst

Формат работы
hybrid
Тип работы
fulltime
Английский
b2
Страна
UK
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
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Описание вакансии

Текст:
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TL;DR
Marketing Analyst (SQL/Power BI): Transforming customer and marketing data into segmentation models, dashboards, campaign insights, and data-driven strategies with an accent on customer behaviour analysis, A/B testing, forecasting, and scenario modelling. Focus on cleaning and querying complex datasets, evaluating campaign effectiveness, and presenting actionable recommendations to stakeholders.

Location: Hybrid role requiring at least three days per week in person at the Milton Park office in Oxfordshire, within commuting distance; the office is planned to relocate to Oxford city centre in late 2027 or early 2028.

Company

hirify.global operates within Informa and Taylor & Francis Group, an international academic publishing, business intelligence, knowledge, and events organisation.

What you will do

  • Source, clean, transform, and analyse customer and marketing data.
  • Build customer segmentation models and analyse customer behaviour for actionable insights.
  • Develop and maintain interactive marketing dashboards and track key performance indicators.
  • Support the design, implementation, and evaluation of data-driven marketing campaigns, including A/B testing.
  • Contribute to forecasting, trend analysis, scenario modelling, and marketing strategy development.
  • Present findings and recommendations clearly to marketing teams and stakeholders.

Requirements

  • Proven experience as a customer or marketing analyst.
  • Experience profiling and segmenting customer data.
  • Proficiency in SQL and interactive dashboard development, ideally with Power BI or a similar tool.
  • Experience implementing and analysing A/B tests.
  • Strong communication, collaboration, analytical, problem-solving, and data-quality skills.
  • Ability to work in person at the Milton Park office at least three days per week and live within commuting distance.

Nice to have

  • Experience with Python, R, or Alteryx for data transformation and manipulation.
  • Experience with statistical modelling techniques.
  • Strong time management and commitment to continuous learning.

Culture & Benefits

  • Flexible balanced working model combining office-based collaboration with remote work.
  • 25 days of annual leave, a birthday day off, and three additional discretionary days during the holiday season.
  • Four paid volunteering days per year.
  • Private medical insurance, employee assistance and wellbeing support, life assurance, and optical and medical care.
  • Pension scheme and Share Match plan.
  • Inclusive, supportive environment focused on professional development, wellbeing, and work-life balance.

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