Our client is looking for a Business Director with a Marketing Science background to help support on their biggest client for a 4 month period.

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. Our role as a team is to:

• 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

ABOUT THE ROLE:

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.

You will lead the delivery of analytics and marketing effectiveness projects for clients by supervising teams of analysts – providing business insight, technical leadership, and quality assurance.

In addition to project work, you will also support agency strategists and media planners by providing analytical decision support on day-to-day media planning and optimisation for clients. You will also be responsible for ensuring that insights generated on analytics projects are evangelised and embedded into decision-making.

While you will report into a Client Director, on day-to-day project work, you will be expected to work independently with minimal oversight.

You will also play a key role in new product development. It is important to us to constantly push the boundaries on the use of analytics in marketing. You will use your data science expertise both to improve our core offering in marketing effectiveness (econometrics / Marketing Mix Modeling) as well as to create new analytical products that we take to market.

You will also 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.

Expeirance:

• Proven experience at Business Director level
• Proven experience of econometric modelling / market mix modelling (essentail)
• Extensive experience using analytical methods within an agency / consultancy or marketing analytics team
• Proven track record of delivering analytical projects for clients
• Ideally you will have a 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

Consultative abilities:

• 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

Team / people skills:

• Strong project planning and management skills
• Able to develop more junior members of team in their technical skills and non-technical abilities with previous line management experience

Desirable:

• Business forecasting experience
• 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 or working knowledge of R for use in data and analytical work
• Familiarity and fluency in developing data-led applications in R Shiny (or equivalent)
• Fluency or working knowledge in one or more of the following Python, SQL, VBA, SPSS, Q