Optimisation Analyst

About the role

The successful applicant will join the Analytics and Optimisation team, which sits within the Technology Product department looking after market‑leading online groceries, a new marketplace, the Clubcard proposition, and the digital entities in‑store. The Analytics and Optimisation team is responsible for providing insight and learning to the wider Product, Trading and UX teams to help drive decision making and is looking to advance its optimisation practices to develop a best‑in‑class testing programme.

Key responsibilities

• Analysing test results within the Loyalty & Support product spaces in a simple and engaging way with actionable recommendations that can be applied to improve our digital products and the customer experience.
• Analysing customer behaviour by leveraging big data from multiple sources and working closely with the UX research team to identify opportunities for improving the customer experience.
• Ensuring the reliability of our test results by applying appropriate statistical testing methods to our test data.
• Continually evaluating the process for AB test analysis and exploring opportunities to enhance our ways of working.
• Exploring ways to automate our existing analysis processes to make decision making faster and to better support the needs of the Optimisation Managers and stakeholders.
• Working collaboratively with the Analytics Capabilities team to ensure appropriate tracking and means of measurement is in place.
• Sharing and presenting test results and insights clearly back to a range of audiences including the Product, UX and Engineering teams.
• Working with the finance team to deliver accurate and representative financial benefit forecasts.
• Providing mentoring and guidance to the Associate Optimisation Analysts.

Required skills and experience

• Experience of manipulating and analysing data from multiple sources using big data, business intelligence and data visualisation tools.
• Excellent verbal and written communication skills – you must be able to articulate complex concepts to a diverse audience.
• Data‑driven mind‑set with strong analytical and problem‑solving skills; able to translate data into actionable insights to further improve the digital experience for our customers.
• Working effectively with multi‑disciplinary teams and understanding how to contribute to all phases of the product development lifecycle.
• Knowledge of AB testing methodology and/or an understanding of the value of optimisation.
• Proficient in SQL.

Desirable experience

• Experience of working with Adobe Analytics.
• Experience of working with Tableau.
• Experience of working with AB testing tools.

Benefits

• Annual bonus scheme of up to 20% of base salary.
• Holiday starting at 25 days plus a personal day (plus Bank holidays).
• Private medical insurance.
• 26 weeks maternity and adoption leave (12 months service required at the qualifying date) at full pay, followed by 13 weeks of Statutory Maternity Pay or Statutory Adoption Pay, we also offer 6 weeks fully paid paternity leave.
• Free 24/7 virtual GP service, Employee Assistance Programme (EAP) for you and your family, free access to a range of experts to support your mental wellbeing.
• This information is a shortened summary, refer to our policies for full details.

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