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Associate Analyst
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 an understanding of coding languages, data visualisation, and analytical methodologies.
Key Responsibilities & Requirements
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 scope effectively.
- Technical Proficiency – Apply SQL/Python skills, understand relational databases, and perform quality checks on standardised code.
- Stakeholder Engagement & Communication – Build strong working relationships, set clear expectations, and present insights confidently.
- Operational Awareness & Governance – Recognise data limitations, investigate anomalies, and adhere to data protection and security policies.
Key Strengths & Desirable Skills
The ideal candidate will have:
- A proactive personality, eager to deliver additional analytical value (e.g., improving process efficiencies or experimenting with new methods).
- Experience with SQL and ideally Python, with prior exposure to BI tools (e.g., Tableau or MicroStrategy) and/or cloud platforms like AWS/Snowflake an advantage.
- Strong communication skills, a confident curiosity to explore analytical challenges, and evidence of how you’ve shared insights to drive actionable results.
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Essential Criteria
- Strong analytical thinking: Ability to identify metrics, analyse trends, and deliver meaningful insights for decision-making.
- Effective data visualisation and communication: Confidently presenting findings using relevant tools and explaining insights to stakeholders.
- Proven technical proficiency: Experienced in SQL, familiarity with relational databases, and ability to validate standardised code.
- Project ownership & prioritisation: Capable of managing analytical tasks independently, assessing scope, and balancing urgent requests with long-term commitments.
About the Team
The Nectar Customer Analytics team acts as a central hub for data-driven decision-making, supporting the Nectar loyalty programme and wider business strategies through deep analytical expertise. We tackle high-impact projects with direct influence on:
- Customer experience
- Commercial performance
- Operational efficiency
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Our work spans several key focus areas:
Core Initiatives
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Nectar Campaign Creation & Management
- Lead analytics for campaigns (e.g., Collect for Christmas, Healthy Choices Challenge).
- Handle forecasting, cost scoping, customer selection, comms tracking, and iterative improvement recommendations.
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Data Playback & Year in Review
- Drive the initiative of sharing customer data insights (e.g., Nectar savings and healthy choices behaviour).
- Lead the flagship ‘Year in Review’ campaign, delivering engaging analytics to 15M+ customers.
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Nectar App Engagement Analysis
- Analyse user behaviour and app usage to uncover engagement opportunities and customer satisfaction improvements.
- Support new experimental activities, such as customer onboarding and A/B testing.
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Advanced Reporting & Automation
- Develop scalable dashboards and automated workflows to optimise reporting and empower stakeholders with real-time insights.
- Leverage modern tools including Tableau, SQL, and Python.
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Cross-Functional Collaboration
- Partner with teams across the business to solve complex challenges.
- Work in a curious, collaborative, and impact-driven environment, shaping one of the UK’s most recognised loyalty programmes.
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