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Senior Customer Insight Analyst
Luxury Goods Brand
Salary: £60k plus 10% bonus
Location: 3 days in office Central London / wfh
This fashion house has been established for over 100 years and owns some of the most recognisable names in men’s luxury clothing and leather goods. They seek people who have commitment and drive with a strong commercial focus and will thrive in a creative environment that encourages innovative thinking.
Following the recent appointment of a new Chief Digital Officer (ex-Boston Consulting Grp, Burberry and a Harvard Graduate!), our client are investing heavily into digital and in turn data; which is where this role comes in. You will own all the customer data and have a key role in commercial business partnering, taking a proactive approach, going out to different areas of the business to gather insights requirements.
Being the first SME in this area for the company, and with data everywhere, you will need to join the dots for key stakeholders, brining it to life and making results, reports and insights engaging through beautiful data visualisations and presentations.
The role will be broad, and there is a lot to do, so there is opportunity for this person to apply analysis across marketing performance, customer behaviour and journey measurement, ad hoc insights projects and web optimisation. So if you have a broad analytics profile and a greenfield opportunity like this excites you – it could be a great move!
Summary of role:
Leading lots of different data related projects
Sharing expertise – market mapping – broad thinking – v. hands on with this
Lots of manual data manipulation – data is everywhere – how do we join the dots?
Questioning how we do things and being curious about finding solutions
Natural capability when it comes to numbers but also understands that not all data is accessible – creative and pragmatically minded
Gravitas to make decisions based on this data – clear communicator – strong influencing skills
Ability to present a complex concept to various stakeholders – simple and concise approach
Experience connecting different data sources – 1st party data / 3rd party data
· Educated to degree level or higher in a numerate subject; Mathematics, Statistics, Economics, Operational Research, Physics, Chemistry, Engineering or Computer Science).
· An advanced user of SQL
· Exposure to data visualisation tools and building out engaging dashboards using PowerBI, Qlik, Looker, Tableau or similar
· Experienced in mining large and complex customer data sets – both structured and unstructured
· Experience in working with either Google Analytics or Adobe Analytics
· A background in customer or marketing analytics is essential, ideally around customer journeys