A global consultancy who have invested heavily into their digital innovation function, within which they they have built out a highly successful and reputed analytics and artificial intelligence division.
You will work cross-sector, engaging with clients across financial services, healthcare, government, energy/utilities and consumer products. You will engage with globally recognised brands including IKEA, Virgin, Lego, Vodafone, Unilever, Lloyds, The Ministry of Justice and many others.
With a huge commitment to sustainability, they recently joined WEF's "Trillion Trees Movement" and have committed to planting 20 million trees in the next decade while also being in the process of switching to 100% renewable electricity and transitioning into a fully hybrid and electric vehicle fleet. With a genuine belief that data can be a driver for a better world, they are now using their industry expertise to offer their clients solutions to improve sustainability and address climate change using AI and analytics.
Their take on corporate social responsibility has landed them in Ethisphere's "World's Most Ethical Companies" list for 9 years running and acknowledging the company as a benchmark of exemplary ethical behaviours.
The Role
Sat within the Digital & Customer Analytics team, you will collaborate with industry leaders, delivering presentations to clients and working to tight deadlines.
You will be tasked with planning, managing, and organising projects, which will be varied but could include:
1. Using data analytics and sophisticated modelling techniques to assess marketing and promotions impact, and optimise revenue/margins/cost
2. Using data analysis and statistical modelling to assess the effectiveness of promotional activities, advertising campaigns, or sales strategies
3. Analysing pricing data, incorporating industry standards and competitive insights
Tools used within the role will be client-dependent but you can expect to use a range of data visualisations tools, programming languages and cloud technologies on a daily basis.
What's Required
We don't usually like to put too much emphasis on "years of experience" however, this is a senior level position and would suit an analytics professional with roughly 4+ years of relevant experience. However, this is more of a guidance and each application will be reviewed on a case-by-case basis.
Any combination of the following experiences will be deemed valuable by the team:
4. Analysis & measurement of product and promotions performance
5. Marketing campaign measurement and optimisation, such as marketing mixm
6. Statistical modelling such as regression, price elasticity modelling and advanced ML
7. Customer insight analysis, ROI optimisation and/or product analytics
Additionally, you will need:
8. Strong communication skills including data storytelling & visualisation
9. Degree in mathematics, STEM, or a supply chain-related field.
10. Proven ability to be successful in a matrixed organisation