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- Tasks: Join a team embedding Generative AI into customer success workflows and automate insights.
- Company: World-leading financial technology organisation with a focus on innovation.
- Benefits: Remote work, competitive pay, and the chance to work with cutting-edge AI technologies.
- Other info: Dynamic role with opportunities for professional growth in a collaborative environment.
- Why this job: Transform data analytics with AI and make a real impact on global customer experiences.
- Qualifications: 8+ years in Data Analytics, advanced SQL, and proficiency in Python or R.
The predicted salary is between 60000 - 80000 £ per year.
Role: Business Data Analyst
Location: London, UK
Role Type: Contract
Duration: 6 Months
Are you a Senior Data Analyst who is tired of just "maintaining" dashboards? Our client is looking for a forward-thinking analyst to join a Global Customer Success Data Science team for a world-leading financial technology organization.
You will be part of a team that is actively embedding Generative AI into core workflows to automate insights and enhance the customer journey across multiple global markets. If you are passionate about moving beyond manual data prep and into the world of AI-native analytics, this is the role for you.
- Build AI-Native Foundations: Work with engineering to develop robust data pipelines in Snowflake/Databricks that are optimized for downstream AI consumption.
- Drive International Strategy: Tailor data capabilities for diverse global markets, ensuring metrics account for regional regulatory and language differences.
- Advanced Analytics & AI: Leverage Python and Gen AI tools to automate anomaly detection, summarization, and recurring insight generation.
- Conduct deep-dives into the end-to-end customer journey to uncover friction points and optimize digital support experiences.
Experience: 8+ years in Data Analytics or Data Science (Customer Success or Ops experience is a major plus).
Technical Stack: Advanced SQL is a must. High proficiency in Snowflake, Databricks, and visualization tools like Tableau or Qlik.
Coding: Proficiency in Python or R for automation and advanced experimentation.
The "AI Edge": A genuine enthusiasm for LLMs and Generative AI. We are looking for someone who already uses AI tools to accelerate their own analytical workflows.
Analityk Analityk Business Data Analyst (Remote) in London employer: Randstad Technologies
Contact Detail:
Randstad Technologies Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Analityk Analityk Business Data Analyst (Remote) in London
✨Tip Number 1
Network like a pro! Reach out to people in the industry on LinkedIn or at events. A friendly chat can lead to opportunities that aren’t even advertised yet.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your data projects, especially those involving AI and analytics. This gives potential employers a taste of what you can do.
✨Tip Number 3
Prepare for interviews by practising common questions related to data analytics and AI. We recommend using mock interviews to boost your confidence and refine your answers.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets noticed. Plus, we love seeing candidates who are proactive about their job search.
We think you need these skills to ace Analityk Analityk Business Data Analyst (Remote) in London
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience in data analytics and any relevant projects you've worked on. We want to see how your skills align with the role, especially your proficiency in SQL, Python, and AI tools.
Craft a Compelling Cover Letter: Use your cover letter to tell us why you're passionate about AI-native analytics. Share specific examples of how you've used data to drive insights and improve customer experiences in your previous roles.
Showcase Your Technical Skills: Don’t just list your technical skills; demonstrate them! If you’ve built data pipelines or automated processes, give us the details. We love seeing how you’ve applied your knowledge in real-world scenarios.
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 this exciting opportunity in our Global Customer Success Data Science team!
How to prepare for a job interview at Randstad Technologies
✨Know Your Tech Stack
Make sure you’re well-versed in the technical stack mentioned in the job description. Brush up on your SQL, Snowflake, and Databricks skills. Be ready to discuss how you've used these tools in past projects, especially in relation to AI and automation.
✨Showcase Your AI Enthusiasm
Since the role emphasises Generative AI, come prepared with examples of how you've integrated AI into your analytics work. Share specific instances where AI tools have improved your workflow or insights, demonstrating your genuine passion for this technology.
✨Understand Global Markets
Familiarise yourself with the challenges and nuances of data analytics across different regions. Be ready to discuss how you would tailor data capabilities for diverse markets, considering regulatory and language differences. This shows you’re not just a tech whiz but also a strategic thinker.
✨Prepare for Deep-Dive Questions
Expect questions that require you to analyse customer journeys and identify friction points. Think of scenarios from your previous roles where you’ve conducted similar analyses. Use the STAR method (Situation, Task, Action, Result) to structure your responses clearly.