Find a job 
Featured Companies 
Featured Universities 
For Companies At a Glance
- Tasks: Frame impactful questions and analyse data to drive product decisions.
- Company: Join a forward-thinking company that values innovation and teamwork.
- Benefits: Competitive pay, equity options, flexible hours, and top-notch health insurance.
- Why this job: Make a real impact by turning data into actionable insights with cutting-edge AI tools.
- Qualifications: Strong problem-solving skills, ambition, and a collaborative spirit are essential.
- Other info: Work remotely or in vibrant cities like Milan, London, or Madrid.
The predicted salary is between 112189 - 250512 £ per year.
Responsibilities
- Frame the right questions. Partner with product and growth managers to identify the most impactful questions—whether about pricing, feature adoption, or user behavior—and define how to answer them.
- Own product analytics and experiments. Design, implement, and analyze experiments end to end (e.g., deciding whether a feature should be paid or free), balancing short‑term impact with long‑term product health.
- Translate data into insights. Provide timely, high‑quality insights to support prioritization, business planning, and product trade‑offs.
- Make insights actionable. Translate analyses and model outputs into recommendations, using dashboards and lightweight reporting to help teams move quickly.
- Leverage AI to accelerate work and uncover insights. Use AI tools to move faster, surface ideas and opportunities, and study competing products and trends.
Qualifications
- Reasoning ability: Given the necessary knowledge, you can solve complex problems. You think from first principles, structure your ideas sharply, resist biases, and care deeply about critical details.
- Drive: You are extremely ambitious; your initiative, effort, and tenacity match your ambition. You hold yourself to a high and rising bar and feel deeply responsible for your work.
- Team spirit: You give generously without expecting anything in return, support the best idea, not just your own, and are happy to get your hands dirty to help your team. You are reliable, honest, and transparent.
- Proficiency in English: You read, write, and speak English proficiently.
Benefits
- Competitive pay and access to equity. Typical offers for early‑career individuals are £85,797 in London and €66,065 elsewhere in Europe.
- For experienced candidates, salary ranges are £112,189–£250,512 in London and €107,837–€188,848 elsewhere in Europe, with compensation growing rapidly as you gain impact.
- Permanent contracts may include company equity at a discounted price.
- Tax benefits for relocation to Italy (50% tax cut).
- Flexible hours, remote working, unlimited learning and training, top‑of‑the‑market health insurance, relocation package, generous parental support, and yearly retreats.
Location and Contract
- Permanent or fixed‑term; full‑time or part‑time. Locations: Milan (Italy), London (UK), Madrid (Spain), Warsaw (Poland) or remote in selected countries.
EEO/Accessibility
We consider all applicants for employment and provide reasonable accommodations for individuals with disabilities.
Data analyst in City of Westminster employer: Bending Spoons
Contact Detail:
Bending Spoons Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data analyst in City of Westminster
✨Tip Number 1
Network like a pro! Reach out to people in the industry, attend meetups, and connect with potential colleagues on LinkedIn. You never know who might have the inside scoop on job openings or can refer you directly.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your data analysis projects. Use real-world examples to demonstrate how you've framed questions, designed experiments, and translated data into actionable insights. This will make you stand out!
✨Tip Number 3
Prepare for interviews by practising common data analyst questions. Think about how you would approach problems, and be ready to discuss your reasoning and decision-making process. We want to see your drive and team spirit shine through!
✨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 genuinely interested in joining our team. Don’t forget to follow up after applying to show your enthusiasm!
We think you need these skills to ace Data analyst in City of Westminster
Some tips for your application 🫡
Tailor Your Application: Make sure to customise your CV and cover letter for the Data Analyst role. Highlight your experience with product analytics, experiments, and translating data into actionable insights. We want to see how your skills align with our needs!
Showcase Your Problem-Solving Skills: In your application, give examples of how you've framed questions and solved complex problems in the past. We love candidates who think critically and can structure their ideas clearly, so don’t hold back on showcasing your reasoning ability!
Demonstrate Team Spirit: We value collaboration, so share instances where you’ve supported your team or contributed to group success. Highlight your reliability and transparency, as we’re looking for someone who can work well with others and help drive our projects forward.
Apply Through Our Website: For the best chance of success, make sure to apply directly through our website. This way, we can easily track your application and get back to you quicker. Plus, it shows us you're keen on joining the StudySmarter family!
How to prepare for a job interview at Bending Spoons
✨Know Your Data
Before the interview, brush up on your data analysis skills and be ready to discuss specific tools and methodologies you’ve used. Familiarise yourself with common data sets and trends in the industry, as this will help you frame insightful questions during the conversation.
✨Prepare Actionable Insights
Think of examples where you've translated data into actionable insights. Be ready to explain how your analyses have influenced decision-making in previous roles. This shows that you can not only crunch numbers but also make a real impact on product strategy.
✨Show Your Team Spirit
During the interview, highlight your collaborative experiences. Share stories where you supported team members or contributed to group projects. This demonstrates that you’re not just about individual success but also about lifting the whole team up.
✨Leverage AI Knowledge
Since leveraging AI is part of the role, come prepared to discuss any AI tools you’ve used in your previous work. Share how these tools helped you uncover insights or streamline processes, showing that you’re forward-thinking and tech-savvy.