Director, Analytics
HybridLondon, England, United Kingdom
Job Summary
Build comprehensive measurement and testing plans for Account teams, leading global rollouts of best-in-class analytical capabilities. Lead the creation of campaign reviews and insights to improve marketing effectiveness, while designing experiments to optimize brand and conversion lift. Develop consultative relationships with senior client stakeholders and manage automation strategies with data engineering teams to integrate new tools. Contribute to commercial health by supporting high-value analytics projects and participating in new business pitches to develop data solutions. Coordinate with third-party vendors for bespoke measurement solutions, including contracts and scope of work.
Required Qualifications
- Holding a degree(s) in a quantitative field: Statistics, Mathematics, Economics, Engineering, Physical Science or Computer Science
- Experience in analytics, measurement, data science, or a related field
- Knowledge of applying measurement to media campaigns through Meta/Google, through brand and conversion lift studies, matched market tests or otherwise
- Well-developed problem-solving skills and the ability to think critically and creatively
- Strong understanding of statistics including hypothesis testing, descriptive statistics and distribution theory
- Strong communication skills, with the ability to present complex ideas to both technical and non-technical audiences
- Able to work independently and as part of a cross-functional team, using project management tools such as Jira/Trello. Ability to project manage analytics projects.
- Highly capable at presenting data in a visually engaging and insightful manner that cuts through the noise
- Experience in mentorship and management, ability to display empathy in difficult situations and lead by example
- Stay up-to-date with the latest industry trends and advancements in data science and analytics
- Proficiency in SQL & R/Python, including understanding of packages such as pandas, numpy, scipy & matplotlib
- Strong understanding of what data points can be collected and analysed in a digital campaign, and how each data point should be analysed
- Including knowledge of media data and incremental measurement, including both Direct Response and Brand campaigns
- Analytical Prowess: Strong analytical and problem-solving skills, with working knowledge of advanced measurement tools including MMM, MTA, Sales Lift, and Brand Studies
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