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- Tasks: Dive into data to enhance customer experiences and drive business growth.
- Company: Join a leading e-commerce and logistics company focused on sustainability and tech innovation.
- Benefits: Enjoy hybrid work options, competitive salary, and opportunities for professional growth.
- Why this job: Be part of a dynamic team shaping the future of online shopping with impactful insights.
- Qualifications: A few years in data roles, strong SQL skills, and a knack for storytelling with data.
- Other info: Work closely with stakeholders and influence strategic decisions at senior levels.
The predicted salary is between 39600 - 66000 £ per year.
A rapidly scaling e-commerce and logistics company is looking for a Data Insights Analyst to help shape the future of its customer experience and commercial strategy. With sustainability and tech innovation at its core, the business operates multiple online brands and is one of the largest third-party sellers on global marketplaces.
This is a high-impact, hands-on analytics role focused on driving smarter decision-making across marketing, product, and customer experience teams. You will work closely with stakeholders to uncover behavioural trends, improve digital performance, and develop data-led strategies that support business growth.
Key Responsibilities:- Analyse customer journeys, engagement patterns, and conversion funnels to identify opportunities for UX and performance improvement
- Support development of personalisation and recommendation engines
- Optimise paid traffic performance across channels like Google Ads and Shopping
- Deliver insights that enhance retention, loyalty, and repeat purchase behaviour
- Perform deep-dive analysis using large datasets (customer, product, marketing, transactional)
- Contribute to the creation of a Single Customer View across brands
- Collaborate with tech teams to ensure clean data pipelines and reliable tracking
- Present findings to non-technical stakeholders and influence strategic decisions at senior levels
- Continuously test, iterate, and refine data-driven hypotheses to support experimentation
- A few years' experience in data, analytics, or insights roles - ideally in e-commerce or online consumer behaviour
- Strong skills in SQL, Excel, and/or BigQuery (or similar tools)
- Clear communicator with the ability to translate data into actionable stories
- Commercially minded - you focus on business impact, not just analysis
- Proactive, curious, and comfortable working with autonomy in a fast-paced environment
Data Insights Analyst employer: LinkedIn
Contact Detail:
LinkedIn Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Insights Analyst
✨Tip Number 1
Familiarise yourself with the latest trends in e-commerce and customer behaviour analytics. Understanding the current landscape will help you speak confidently about how your skills can contribute to the company's growth.
✨Tip Number 2
Brush up on your SQL and Excel skills, as these are crucial for the role. Consider working on personal projects or online courses that allow you to demonstrate your proficiency in data analysis tools.
✨Tip Number 3
Prepare to discuss specific examples of how you've used data to drive business decisions in previous roles. Being able to share concrete stories will showcase your ability to translate data into actionable insights.
✨Tip Number 4
Network with professionals in the e-commerce and analytics space. Engaging with industry peers can provide valuable insights and potentially lead to referrals, increasing your chances of landing the job.
We think you need these skills to ace Data Insights Analyst
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights relevant experience in data analytics, particularly in e-commerce or online consumer behaviour. Emphasise your skills in SQL, Excel, and any other tools mentioned in the job description.
Craft a Compelling Cover Letter: Write a cover letter that showcases your passion for data insights and how you can contribute to improving customer experience and commercial strategy. Mention specific examples of past projects where you've driven decision-making through data.
Showcase Your Analytical Skills: In your application, provide examples of how you've used data to uncover behavioural trends or improve performance. Highlight any experience with personalisation engines or optimisation of paid traffic performance.
Prepare for Technical Questions: Be ready to discuss your technical skills in SQL and data analysis during the interview process. Consider preparing a few examples of how you've solved complex data problems or presented findings to non-technical stakeholders.
How to prepare for a job interview at LinkedIn
✨Showcase Your Analytical Skills
Be prepared to discuss your experience with data analysis tools like SQL, Excel, or BigQuery. Bring examples of how you've used these tools to drive insights and improve business outcomes, especially in e-commerce settings.
✨Understand the Business Context
Research the company’s brands and their market position. Be ready to discuss how your insights can directly impact customer experience and commercial strategy, demonstrating your understanding of their business model.
✨Communicate Clearly
Practice translating complex data findings into simple, actionable stories. Since you'll be presenting to non-technical stakeholders, focus on how you can make your insights relatable and impactful for them.
✨Prepare for Scenario-Based Questions
Expect questions that assess your problem-solving skills. Think of scenarios where you had to analyse customer journeys or optimise performance, and be ready to explain your thought process and the results achieved.
