Business Director, Marketing Science

The client is a creative transformation company. It uses the power of creativity to build better futures for its people, planet, clients, and communities.

The client’s global media collective operates in a world where media is everywhere and in everything, bringing the best platforms, people, and partners together to create limitless opportunities for growth.

As a leading media brand within the client’s portfolio, the team delivers Good Growth for its clients. As Growth Architects, it drives growth that benefits all stakeholders, better for people, planet, and business, by using media with intention. This approach builds more meaningful connections with consumers, increases trust in brands, and delivers stronger outcomes for all stakeholders.

As a Business Director you will be responsible for managing and developing Marketing Science relationships with senior clients (both internal and external). You will be expected to become a trusted advisor to them and will help solve their marketing challenges by diagnosing problems and designing and executing analytical solutions.

The Marketing Sciences team is charged with accelerating our clients’ growth by integrating data and analytics into marketing decision making. We work with senior marketing and business decision makers to provide analytical solutions for their most pressing marketing challenges.

• Find creative ways to use data and analytics to uncover powerful marketing insights that drive growth for our clients
• Design and implement measurement and effectiveness frameworks that drive performance in marketing
• Develop new analytical products and tools that can identify opportunities for growth and performance improvements in our clients marketing
• To cultivate a culture of effectiveness in our client’s marketing by evangelising and enabling experimentation, testing and constant learning
• Lead the delivery of analytics and marketing effectiveness projects for clients by supervising teams of analysts – providing business insight, technical leadership, and quality assurance
• Support agency strategists and media planners by providing analytical decision support on day-to-day media planning and optimisation for clients
• Ensure that insights generated on analytics projects are evangelised and embedded into decision-making
• Play a key role in new product development
• Provide line-management to junior analysts, with responsibility for their development and well-being
• Contribute to the running of the team, taking an active part in key initiatives on issues like process improvement, resource management, team well-being and revenue generation

• Numerate / analytical degree such as statistics, econometrics, mathematics, sciences, or economics. Candidates from other backgrounds will also be considered if they demonstrate a high level of competence across all other criteria
• Extensive experience using analytical methods within an agency / consultancy or marketing analytics team
• Proven track record of delivering analytical projects for clients

• Ability to build and grow strong relationships with senior internal and client-side stakeholders to become their trusted adviser
• Strong problem solver with the ability to understand a client’s marketing and business challenges and provide analytics led consultancy
• Ability to diagnose marketing challenges, design analytics led solutions and write proposals to pitch them to senior client stakeholders
• Understanding of marketing / advertising and the ability to communicate recommendations in this arena to clients
• Ability to quickly pick up and learn the use of business tools to inform decision making. Prior experience / understanding of common marketing tools and systems is a plus
• Strong presentation skills – both verbal and written. Proficient in communicating complex data led insights in a simple way

• Expertise in two or more of the following analytical skillsets:
• Econometric modelling / market mix modelling (preferred)
• Business forecasting
• Machine learning as applied in a marketing context
• A/B testing and multivariate testing
• Quantitative analytics of survey-based data e.g. (segmentation, driver models, multivariate analysis etc.)
• Coding fluency in R for use in data and analytical work is essential
• Familiarity and fluency in developing data-led applications in R Shiny (or equivalent) is desirable but not essential
• Fluency in one or more of the following Python, SQL, VBA, SPSS, Q – also desirable but not essential