At a Glance
- Tasks: Join a team embedding Generative AI into workflows to enhance customer journeys.
- Company: World-leading financial technology organisation in London.
- Benefits: Competitive daily pay, contract role with potential for growth.
- Other info: Fast-paced environment with opportunities for innovation and career development.
- Why this job: Move beyond traditional analytics and shape the future with AI-native insights.
- Qualifications: 8 years in Data Analytics, advanced SQL, and proficiency in Python or R.
Location: London, UK | Role Type: Contract | Duration: 6 Months | Pay Rate: 250 to 270 GBP/Day via Umbrella (Inside IR 35)
Opportunity
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. This isn't a traditional reporting role. 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.
What You'll Do
- 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.
- Root Cause Discovery: Conduct deep-dives into the end-to-end customer journey to uncover friction points and optimize digital support experiences.
- Storytelling: Translate complex datasets into clear, persuasive narratives for senior stakeholders to influence global operational strategy.
What You'll Bring
- 8 years in Data Analytics or Data Science (Customer Success or Ops experience is a major plus).
- Advanced SQL is a must.
- High proficiency in Snowflake, Databricks, and visualization tools like Tableau or Qlik.
- Proficiency in Python or R for automation and advanced experimentation.
- A genuine enthusiasm for LLMs and Generative AI; we are looking for someone who already uses AI tools to accelerate their own analytical workflows.
- Proactive, growth-oriented, and comfortable in a fast-paced, high-innovation environment.
Apply
If you are interested then please apply or share your updated CV on yogeshwari.sen@randstaddigital.com with your availability and I will give you a call back to discuss the role further. Randstad Technologies is acting as an Employment Business in relation to this vacancy.
Senior Business Data Analyst. Job in London LilyLifestyle Jobs employer: United Cerebral Palsy of Georgia
Join a world-leading financial technology organisation in London, where innovation meets opportunity. As a Senior Business Data Analyst, you'll thrive in a dynamic work culture that champions creativity and embraces cutting-edge technologies like Generative AI. With a focus on employee growth and development, this role offers you the chance to make a meaningful impact while enjoying competitive pay and the vibrant atmosphere of one of the world's most exciting cities.
Contact Details:
United Cerebral Palsy of Georgia Recruitment Team
StudySmarter Expert Advice🤫
We think this is how you could land Senior Business Data Analyst. Job in London LilyLifestyle Jobs
✨Tip Number 1
Network like a pro! Reach out to connections in the industry, attend meetups, and engage on LinkedIn. We all know that sometimes it’s not just what you know, but who you know that can land you that dream role.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your data projects, especially those involving AI and analytics. We want to see how you’ve tackled real-world problems and made an impact with your insights.
✨Tip Number 3
Prepare for interviews by practising common questions and scenarios related to data analysis and AI. We recommend doing mock interviews with friends or using online platforms to boost your confidence and refine your storytelling skills.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets noticed. Plus, we’re always looking for passionate individuals who are ready to dive into the world of AI-native analytics.
We think you need these skills to ace Senior Business Data Analyst. Job in London LilyLifestyle Jobs
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, Snowflake, and Python.
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 AI tools in your previous roles to enhance your analytical workflows.
Showcase Your Storytelling Skills:Remember, this role involves translating complex data into clear narratives. Include examples in your application that demonstrate your ability to communicate insights effectively to stakeholders.
Apply Through Our Website:We encourage you to apply directly through our website for a smoother process. It helps us keep track of your application and ensures you don’t miss out on any updates!
How to prepare for a job interview at United Cerebral Palsy of Georgia
✨Know Your Tech Stack
Make sure you’re well-versed in the tools mentioned in the job description, like Snowflake, Databricks, and Python. Brush up on your SQL skills too, as they’ll likely test your knowledge during the interview.
✨Showcase Your AI Passion
Since this role involves Generative AI, be prepared to discuss how you've used AI tools in your previous work. Share specific examples of how these tools have improved your analytical workflows or insights.
✨Prepare for Storytelling
You’ll need to translate complex data into clear narratives. Think of a few examples where you’ve successfully communicated data insights to stakeholders. Practice explaining these stories succinctly and persuasively.
✨Understand Global Markets
Familiarise yourself with the challenges and nuances of different global markets. Be ready to discuss how you would tailor data capabilities to meet regional regulatory and language differences, showing that you can think strategically.
