One of the largest providers of consulting and technology services, providing a collaborative, friendly and entrepreneurial environment. A truly global consultancy with offices based in central London and a broad client base of blue-chip companies, the company operates across a variety of sectors and industries.
Working within their data science and analytics team, you will provide expertise and structured thinking, allowing you to develop innovative analytical solutions to complex business problems.
The Role
As new technologies are rapidly maturing, new data emerges and that leads to new opportunities to apply AI and analytics to optimise business models – in this role you will be helping clients utilise these new technologies.
You will be expected to support clients by building and designing data strategies and roadmaps to apply analytics to optimise their capabilities and business processes, to shape and evolve their customer experience and expand their service and commerce channels.
This will include helping the client work out what they can do with the data at their disposal, select the appropriate tools for them to use, and help organise the operating model.
This role will suit somebody who has advised on analytics teams and will have a vision of how data science can be applied in the future and capable of coming up with new solutions.
The Individual
To be successful with an application, you should have the following:
Experience ideally in consulting; delivering agile projects, including planning and implementing solutions with data, analytics or BI at the core In-depth technical expertise and sector knowledge combined with project delivery experience Strong stakeholder management skills and have experience enabling client departments to understand and deliver better value from their data Data visualisation using Tableau, Power BI or similar tools Demonstrable thought-leadership experience having translated data into action and provided business insightsThe latest news, articles, and resources, sent to your inbox weekly.
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