Analytics Associate Director

Location: London, United Kingdom; hybrid work with teams in the office around four days a week. This is a UK-based role and requires the right to work in the United Kingdom.

Company

hirify.global is WPP’s AI-driven media operating unit, combining media, data, partnerships, and marketing technology to deliver personalized campaigns and measurable client growth.

What you will do

• Build and apply measurement and testing plans aligned with marketing objectives.
• Lead campaign reviews and develop actionable recommendations to improve marketing and business effectiveness.
• Design and implement experiments, including brand lift and conversion lift studies, to optimize campaign performance.
• Develop trusted relationships with senior client marketing, analytics, and data stakeholders while supporting JLR campaigns.
• Coordinate with data engineering teams to automate analytics 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.
• Strong knowledge of statistics, hypothesis testing, descriptive statistics, distribution theory, and statistical testing.
• Proficiency in SQL and R or Python, including pandas, numpy, scipy, and matplotlib.
• Strong communication, presentation, problem-solving, project management, and cross-functional collaboration skills.
• Right to work in the United Kingdom is required.

Nice to have

• Working knowledge of advanced measurement tools such as MMM, MTA, Sales Lift, and Brand Studies.
• Experience mentoring and managing others.
• Experience with Jira or Trello and project management of analytics initiatives.

Culture & Benefits

• Access to training and development, Google Cloud Platform, and a global community of analysts and data scientists.
• Inclusive working environment focused on trust, respect, diversity, and equal opportunity.
• Hybrid work model with regular in-office collaboration and events.
• Benefits include medical, vision, dental, and group retirement plans, paid time off, partner discounts, and mental health awareness days.