Job Title: Associate Analyst
Business Area: Customer and Loyalty Analytics
We are seeking a highly motivated Associate Analyst to join our team. The ideal candidate will be responsible for driving impact through analytics, deriving insightful findings, and contributing to potential recommendations. This role requires a understanding of coding languages, data visualisation, and analytical methodologies.
What we are looking for
- Analytical Thinking - Identify relevant metrics, analyse trends, and provide contextual insights to support business decisions.
- Data Visualisation & Communication - Present findings using appropriate visualisations and confidently explain insights to stakeholders.
- End-to-End Project Ownership - Independently manage analytical projects using diverse datasets, ensuring clarity in briefs and delivering to a defined scope.
Technical Proficiency -- SQL/Python skills, understanding of relational databases, and perform quality checks on standardised code.
- Stakeholder Engagement & Communication - Build strong relationships, set clear expectations, and present insights confidently to stakeholders.
- Operational Awareness & Governance - Recognize data limitations, investigate anomalies, and adhere to data protection and security policies.
What we would like you to have
- A proactive personality, looking to deliver additional analytical value to our stakeholders, such as improving process efficiencies and experimenting with innovative methods to enhance analytical outputs.
- Experienced user of SQL and ideally Python. Previous experience of BI tools (e.g. Tableau or Microstrategy) and/or AWS / Snowflake would be advantageous.
- Strong communication skills, a confident curiosity to explore and understand analytical problems, with evidence of how you share insights with colleagues to achieve actionable results
Essential Criteria
- Strong analytical thinking: Ability to identify relevant metrics, analyse trends, and deliver contextual insights to support business decisions.
- Effective data visualisation and communication: Confidently present findings using appropriate visual tools and explain insights clearly to stakeholders.
- Technical proficiency: Experienced SQL skills, understanding of relational databases, and ability to perform quality checks on standardised code.
- Project ownership and prioritisation: Capable of managing analytical requests independently, assessing scope, and balancing ad-hoc demands with existing commitments.
About the Team
The Nectar Customer Analytics team is a central hub for data driven decision making, supporting the Nectar programme and wider business initiatives through analytical expertise. We work on high-impact projects that directly influence customer experience, commercial performance, and operational efficiency.
Our key focus areas include
Nectar Campaign creation and management
- Lead the nectar campaigns (such as Collect for Christmas, Healthy Choices Challenge) from an analytics point of view. From initial forecasting and scoping of costs, to customer selection, comms, tracking and ultimately to review and recommendations as to how to improve the next iteration
Data playback and Year in Review
- Champion the idea of playing customers data back to them, including feeding back their nectar savings or healthy choice behaviour. Take the lead in the flagship ‘Year in Review’ campaign where we create a wealth of engaging stats to over 15m customers
Improving Nectar App Engagement
- Analysing user behaviour and app usage to uncover opportunities for enhancing digital engagement and customer satisfaction. Support new experimental activity such as new customer onboarding or tests on the display of the app
Advanced Reporting & Automation
- Building scalable dashboards and automated workflows to streamline reporting and empower stakeholders with real-time insights.
Cross-functional Collaboration
- Working closely with teams across the business to solve complex problems and deliver actionable recommendations
- We’re a collaborative, curious, and impact-driven team that thrives on turning data into meaningful outcomes. Joining us means working on real business challenges, using modern tools like Tableau, SQL, and Python, and helping shape the future of one of the UK’s most recognised loyalty programmes.
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