My global consultancy has significantly invested in their digital innovation efforts, establishing a highly successful and reputable analytics and artificial intelligence division.
In this role, you will work across various sectors, engaging with clients in financial services, healthcare, government, energy/utilities, and consumer products. You will collaborate with globally known brands such as Unilever, Lloyds, IKEA, Lego, Virgin and The Ministry of Justice, and many more.
Demonstrating a strong commitment to sustainability, the consultancy recently joined the World Economic Forum’s “Trillion Trees Movement” and has pledged to plant 20 million trees over the next decade. They are also transitioning to 100% renewable electricity and a fully hybrid and electric vehicle fleet. With a firm belief in data as a driver for a better world, they leverage their industry expertise to offer clients AI and analytics solutions aimed at improving sustainability and combating climate change.
Their approach to corporate social responsibility has earned them a spot on Ethisphere’s “World’s Most Ethical Companies” list for nine consecutive years, establishing them as a benchmark for exemplary ethical behaviour.
The Role
As part of the digital & customer analytics team, you will collaborate with industry leaders, deliver presentations to clients, and work under tight deadlines.
Your responsibilities will include planning, managing, and organising various projects, which may involve:
Utilising data analytics and advanced modelling techniques to assess the impact of marketing and promotions, and optimise revenue, margins, and costs Applying data analysis and statistical modelling to evaluate the effectiveness of promotional activities, advertising campaigns, or sales strategies Analysing pricing data while incorporating industry standards and competitive insights
The tools you will use in this role will depend on the client, but you can expect to work with a variety of data visualisation tools, programming languages, and cloud technologies on a daily basis.
Your Skills
Any combination of the following experiences will be highly valued by the team:
Analysing and measuring product and promotions performance Measuring and optimising marketing campaigns, including marketing mix modelling Conducting statistical modelling, such as regression, price elasticity modelling, and advanced machine learning Performing customer insight analysis, ROI optimisation, and/or product analytics
Additionally, you will need:
Strong communication skills, including data storytelling and visualisation A degree in mathematics, STEM, or a supply chain-related field Proven success in a matrixed organisation
