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- Tasks: Analyse customer data to drive insights and enhance loyalty programmes.
- Company: Join the iconic Harrods team in a dynamic digital environment.
- Benefits: Flexible working, 25 days holiday, birthday off, and generous in-store discounts.
- Other info: Opportunity to experiment with data science techniques and grow your commercial acumen.
- Why this job: Make a real impact by turning data into actionable insights for customer engagement.
- Qualifications: Strong analytical skills with experience in SQL, Excel, and a background in Statistics or Business.
The predicted salary is between 35000 - 45000 £ per year.
We’re looking for an Insights Analyst to join the Digital team at Harrods, sitting within the Loyalty & CRM Insights team. You’ll play a key role in shaping how we understand, engage, and grow our Rewards customer base through data‑driven insight. This role is ideal for someone who’s naturally curious, enjoys experimenting with methodologies, and wants to turn analysis into clear commercial impact.
You’ll partner closely with Loyalty teams to uncover customer insights, improve campaign effectiveness, and bring clarity to complex questions. You’ll be encouraged to experiment with analytical approaches, stay curious about Data Science and ML commercial applications, and take ownership of projects end‑to‑end, from problem definition to storytelling and impact measurement. You’ll translate complex analysis into clear, actionable insight for both technical and non‑technical audiences.
Job Responsibilities
- Work with Loyalty stakeholders on reporting, campaign planning, and optimisation of customer communications.
- Recommend ways to enhance brand relevance and keep the Loyalty Programme engaging, meaningful, and valuable for our customers.
- Own analytical projects end‑to‑end, exploring ways to measure impact on customer lifecycle and lifetime.
- Track KPIs and contribute to longer‑term effectiveness initiatives.
- Measure impact using control groups, A/B testing, proxy groups, and uplift analysis.
- Share insights, learnings, and methodologies to help raise overall data maturity.
- Build commercial acumen, linking insight to customer value and business outcome.
About You
The ideal candidate will be analytical, curious, and comfortable with data and you enjoy explaining what it means and why it matters. It is important that you are solid with SQL, Excel, and PowerPoint skills (visualisation tools a plus). You will have a background in Statistics, Mathematics, Science, Business, or similar with experience with customer or consumer data.
- Understanding of personalised Loyalty / CRM / Marketing activity.
- Strong attention to detail and stakeholder management.
- A passion for using data to influence decisions.
- Curiosity about ML and data science techniques.
- A mindset of experimentation and continuous improvement.
- Appetite to build commercial understanding.
Benefits
In return, you’ll receive an excellent benefits package, including a company pension, flexible working, 25 days’ holiday, and your birthday off, up to 33% in-store discount (including across our food hall and restaurants) and a season ticket loan.
Insights Analyst employer: Harrods
Contact Detail:
Harrods Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Insights Analyst
✨Tip Number 1
Network like a pro! Reach out to people in the industry, attend events, and connect with current employees at Harrods. A friendly chat can sometimes lead to opportunities that aren’t even advertised.
✨Tip Number 2
Show off your analytical skills! Prepare a mini-project or case study that showcases your ability to turn data into actionable insights. This will not only impress but also give you something concrete to discuss during interviews.
✨Tip Number 3
Be curious and ask questions! During interviews, don’t hesitate to ask about the team’s current challenges or how they measure success. This shows your genuine interest and helps you understand if it’s the right fit for you.
✨Tip Number 4
Apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, you’ll be one step closer to joining a fantastic team that values data-driven insights.
We think you need these skills to ace Insights Analyst
Some tips for your application 🫡
Show Your Curiosity: We want to see your natural curiosity shine through in your application. Share examples of how you've explored data or experimented with different methodologies in the past. This will show us that you're not just about numbers, but about understanding the story behind them!
Tailor Your Application: Make sure to customise your CV and cover letter for the Insights Analyst role. Highlight your experience with SQL, Excel, and any visualisation tools you’ve used. We love seeing how your skills align with our needs, so don’t hold back on showcasing your relevant experience!
Be Clear and Concise: When writing your application, clarity is key! Use straightforward language to explain your analytical projects and the impact they had. Remember, we need to understand your insights just as much as you do, so keep it simple and engaging.
Apply Through Our Website: We encourage you to apply directly through our website. It’s the best way for us to receive your application and ensures you’re considered for the role. Plus, it gives you a chance to explore more about what we do at StudySmarter!
How to prepare for a job interview at Harrods
✨Know Your Data Tools
Make sure you brush up on your SQL, Excel, and PowerPoint skills before the interview. Be ready to discuss how you've used these tools in past projects, especially in relation to customer data analysis.
✨Show Your Curiosity
Demonstrate your natural curiosity by asking insightful questions about the company's data practices and how they measure campaign effectiveness. This shows you're not just interested in the role but also in the company's approach to data-driven insights.
✨Prepare for Scenario Questions
Expect to tackle scenario-based questions where you'll need to explain how you'd approach a specific analytical project. Think about examples from your experience where you turned complex data into actionable insights.
✨Link Insights to Business Impact
Be prepared to discuss how your analytical work has previously influenced business decisions. Highlight any experience you have with A/B testing or measuring impact, as this aligns perfectly with what they're looking for.