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
Our client is on a mission to hyper-personalise their customer experiences across all touchpoints.
As Senior Analyst, this role supports Product Managers in developing a better understanding of customer needs and behaviours. This role oversee and resolve complex analytical issues, ensuring data accuracy, and optimising the use of analytics tools and methodologies.
We are looking for someone with deep understanding of data analysis, problem-solving skills, and the ability to communicate with both technical and non-technical stakeholders.
As Senior Data Analyst, you will:
Lead on the resolution of complex analytical issues and data discrepancies. Develop and implement the processes for identifying, tracking, and resolving data issues. Collaborate with multi-disciplinary teams to understand data needs and to ensure data integrity. Optimise the use of analytics tools and methodologies to improve data accuracy and efficiency. Support the Analytics Team, providing technical guidance when needed. Communicate findings and recommendations to senior stakeholders throughout the organisation. Monitor and report on the progress of resolution efforts, and ensure timely and effective outcomes.
To apply, you should have
Experience working as a Data Analyst / Senior Data Analyst and a keen interest in data management, data governance, and data architecture. Knowledge of statistical methodologies and data analysis techniques. Intermediate to Advanced SQL skills. Advanced Microsoft Excel skills. Knowledge of ETL processes and automated data loads. Demonstrable experience working with consumer data, segmentation / targeting, and behavioural analysis. Strong problem-solving, communication, and organisation skills. Knowledge of industry standards and best practices in data analytics.
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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