Data Analyst

Data Analyst

£35,000 - £40,000 + 10% bonus + benefits

London (2 days per week in the office)

Our client

Our client is a global strategic technology and payments partner. They deliver seamless personalised shopping experiences to over 29m international shoppers, who in turn generate €22.9bn revenue.

With 2,000 employees spread across 50 countries, they integrate with 300,000 point of sale systems in a number of luxury retailers and brands including Harrods, Selfridges, John Lewis, Liberty’s, Apple, Cartier, De Beers, Hermès, Rolex, Dior and Jimmy Choo.

Their products include tax-free shopping, smart data and intelligence, marketing and sales, POS technology and payment solutions.

The role

The Data Analyst will help the business to understand customer needs and behaviours through the analysis of complex data sets and subsequent translation into meaningful, shareable insights and stories.

This role will be hands on with building visualisations in Tableau and ad hoc analysis to inform the optimisation of digital products and features.

As a Data Analyst, you will:

• Monitor and report on key KPIs.
• Be hands-on with building visualisations using Tableau and Google Data Studio / Looker Sutdio.
• Identify data requirements, working with international data teams to ensure data is cleansed and prepared.
• Support with the identification of new and innovative ways to leverage data to deliver new customer engagement opportunities, optimise channels and deliver economic efficiency.
• Deliver enhanced customer profiling and segmentation.
• Measure the effectiveness of customer-facing products, features and campaigns.
• Provide ad-hoc analysis to inform the optimisation of customer-facing products, features and campaigns.

To apply, you should have

• Worked as a Data Analyst with good experience working with transactional databases.
• Strong visualisation experience - Tableau is a must.
• Intermediate SQL skills are essential for this role.
• The ability and experience to deliver impactful and actionable insights.
• Advanced Microsoft Excel skills.
• Experience working with customer data, segmentation, targeting and behavioural analysis.

The perks include

• 25 days holiday + bank holidays.
• An extra day off for moving to a new house; 2 days off for your wedding; 3 days off for charity / community days.
• Private healthcare and medical cashback plan.
• Perkbox.
• Competitive pension plan.
• Virgin gym membership.

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