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- Tasks: Transform complex data into actionable insights and collaborate with stakeholders.
- Company: Join a forward-thinking Data Centre of Excellence with a remote-first approach.
- Benefits: Competitive pay up to £600 per day, flexible work, and potential for permanent role.
- Other info: Opportunity for career growth and collaboration with innovative teams.
- Why this job: Make a real impact by turning data into decisions in an agile environment.
- Qualifications: Experience in Python/R analytics and strong stakeholder management skills.
The predicted salary is between 48000 - 60000 £ per year.
We are seeking an experienced Insights Analyst to join a Data Centre of Excellence on an initial contract basis, with a potential opportunity to move into a permanent position. This role focuses on turning complex data into clear, decision‑ready insight. The Insights Analyst will work closely with business stakeholders to frame the right questions, deliver robust statistical analysis, and translate outcomes into actionable recommendations. They will also partner closely with an Analytics Engineer to ensure insights are supported by scalable, reusable data products within a modern data platform (Microsoft Fabric).
What the Insights Analyst will be doing:
- Engaging stakeholders to translate business goals into well‑defined analytical problems
- Performing statistical analysis and modelling using Python and/or R (e.g. regression, time series, segmentation, driver analysis)
- Applying strong analytical discipline: validation, interpretability, and clear documentation
- Communicating insights through clear narratives, highlighting implications, trade‑offs, and uncertainty
- Working with the Analytics Engineer to ensure outputs become reusable features, metrics, and datasets
- Collaborating with federated analysts to drive consistent approaches and adoption
- Operating in an agile environment with a focus on fast, high‑quality time‑to‑insight
Skills & experience for the Insights Analyst:
- Experience with forecasting, attribution, inventory/supply analytics, or driver analysis
- Hands‑on experience with Python and/or R for applied analytics
- Proven background delivering statistical analysis and/or ML in a commercial setting
- Excellent stakeholder management and problem‑framing skills
- Ability to work closely with data and analytics engineering teams on data requirements and quality
- Experience across commercial, supply chain, or manufacturing analytics
- Experience with modern data platforms and notebook‑based workflows (Fabric preferred) as well as Azure and Dataflows
Insights Analyst in London employer: Lorien
Contact Detail:
Lorien Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Insights Analyst in London
✨Tip Number 1
Network like a pro! Reach out to your connections in the industry and let them know you're on the hunt for an Insights Analyst role. You never know who might have the inside scoop on job openings or can put in a good word for you.
✨Tip Number 2
Prepare for those interviews by brushing up on your statistical analysis skills. Be ready to discuss how you've used Python or R in past projects, and think of examples where you've turned complex data into actionable insights. We want to see that analytical discipline in action!
✨Tip Number 3
Don’t forget to showcase your stakeholder management skills! During interviews, highlight how you've engaged with business stakeholders to frame analytical problems and deliver insights that drive decision-making. This is key for an Insights Analyst role.
✨Tip Number 4
Apply through our website! It’s the best way to ensure your application gets seen. Plus, we love seeing candidates who are proactive about their job search. So, get your application in and let’s get you on the path to landing that Insights Analyst gig!
We think you need these skills to ace Insights Analyst in London
Some tips for your application 🫡
Tailor Your CV: Make sure your CV speaks directly to the Insights Analyst role. Highlight your experience with Python, R, and any statistical analysis you've done. We want to see how your skills align with our needs!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to tell us why you're passionate about data and how you can turn complex insights into actionable recommendations. Keep it engaging and relevant to the role.
Showcase Your Analytical Skills: In your application, don’t just list your skills—show us how you've applied them in real-world scenarios. Share specific examples of projects where you’ve performed statistical analysis or worked with stakeholders.
Apply Through Our Website: We encourage you to apply through our website for the best chance of getting noticed. It’s super easy, and we’ll be able to track your application better. Plus, we love seeing applications come directly from our site!
How to prepare for a job interview at Lorien
✨Know Your Data Tools
Make sure you brush up on your Python and R skills before the interview. Be ready to discuss specific projects where you've used these tools for statistical analysis or machine learning. This will show that you can hit the ground running!
✨Understand Stakeholder Engagement
Prepare examples of how you've engaged with stakeholders in the past. Think about how you framed analytical problems based on their business goals. This will demonstrate your ability to translate complex data into actionable insights.
✨Communicate Clearly
Practice explaining your analytical findings in a clear and concise manner. Use storytelling techniques to highlight implications and trade-offs. This is crucial, as the role requires you to communicate insights effectively to non-technical stakeholders.
✨Familiarise Yourself with Agile Methodologies
Since the role operates in an agile environment, be prepared to discuss your experience working in such settings. Highlight any instances where you adapted quickly to changes and delivered high-quality insights under tight deadlines.