Data Analyst (1 Year Maternity Cover)
€40,000 - €45,000 + 10% bonus + benefits
Porto (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 (using SQL) to inform the optimisation of products and features.
As a Data Analyst, you will:
- Monitor and report on key KPIs.
- Deep-dive (using SQL) into customer data to provide product teams with detailed customer analysis.
- Be hands-on with building visualisations in Tableau.
- 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.
- Advise on how advanced statistical and analytical techniques can further improve the understanding of customers.
To apply, you should have
- Experience working as a Data Analyst with good exposure to statistical methodologies.
- Intermediate SQL skills.
- Advanced experience with Tableau (or a similar tool).
- Advanced Excel skills.
- Proven experience delivering impactful and actionable insights with a B2 C environment.
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