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7 дней назад

Data Analytics, Director

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

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TL;DR
Data Analytics, Director (Media Measurement and Marketing Analytics): Developing and deploying media measurement solutions, campaign analysis, and experimentation frameworks for global clients with an accent on brand and conversion lift studies, statistical analysis, and data-driven marketing effectiveness. Focus on designing measurement strategies, solving complex analytics problems, managing client and engineering stakeholders, and translating advanced data concepts into actionable recommendations.

Location: London, United Kingdom. Hybrid work with teams in the office around four days a week.

Company

hirify.global is WPP's AI-driven media operating unit, combining media, data, partnerships, and technology to deliver personalised marketing and measurement solutions for global brands.

What you will do

  • Develop measurement and testing plans aligned with marketing objectives and manage their delivery and global rollout.
  • Lead campaign reviews, generate actionable insights, and improve marketing and business effectiveness.
  • Design experiments and implement measurement frameworks focused on brand lift and conversion lift studies.
  • Build strategic relationships with senior client marketing, analytics, and data stakeholders.
  • Coordinate with data engineering teams and define automation strategies for new tools and solutions.
  • Support high-value analytics projects, new business pitches, vendor coordination, contracts, and statements of work.

Requirements

  • Degree in a quantitative field such as statistics, mathematics, economics, engineering, physical science, or computer science.
  • Experience in analytics, measurement, data science, or a related field, including media campaign measurement through Meta or Google.
  • Strong knowledge of statistics, hypothesis testing, descriptive statistics, distribution theory, and advanced measurement methods including MMM, MTA, Sales Lift, and Brand Studies.
  • Proficiency in SQL and R or Python, including pandas, numpy, scipy, and matplotlib.
  • Strong communication, presentation, problem-solving, and critical-thinking skills, including the ability to explain complex ideas to technical and non-technical audiences.
  • Experience managing or mentoring people and project-managing analytics projects with cross-functional teams.

Culture & Benefits

  • Access to training, development resources, Google Cloud Platform, and a global community of analysts and data scientists.
  • Collaborative environment focused on creativity, connection, inclusion, and professional growth.
  • Employee resource groups, in-office events, and opportunities to participate in thought leadership.
  • Benefits include medical, retirement, vision, and dental insurance, paid time off, partner discounts, and mental health awareness days.

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