At a Glance
- Tasks: Join a team embedding AI into workflows to enhance customer journeys.
- Company: World-leading financial technology organisation with a focus on innovation.
- Benefits: Competitive pay, contract role, and opportunity to work with cutting-edge AI technologies.
- Other info: Fast-paced environment with growth opportunities and a focus on innovation.
- Why this job: Transform data analytics with AI and make a real impact on global strategies.
- Qualifications: 8+ years in Data Analytics, advanced SQL, and proficiency in Python or R.
Learn more about the general tasks related to this opportunity below, as well as required skills.
Location: London, UK
Role Type: Contract
Duration: 6 Months
Pay Rate: 250 to 270 GBP/Day via Umbrella (Inside IR 35)
The 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
- 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.
- Mindset: 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@randstad-digital.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.
Business Data Analyst employer: Randstad Technologies
Join a world-leading financial technology organisation in London, where innovation meets opportunity. As a Business Data Analyst, you'll thrive in a dynamic work culture that champions creativity and collaboration, with access to cutting-edge AI tools and robust data pipelines. With a focus on employee growth and a commitment to embedding Generative AI into core workflows, this role offers a unique chance to influence global strategies while enjoying the vibrant atmosphere of one of the world's most exciting cities.
StudySmarter Expert Advice🤫
We think this is how you could land Business Data Analyst
✨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
Prepare for those interviews by practising common questions and showcasing your skills. We recommend doing mock interviews with friends or using online platforms. The more comfortable you are, the better you'll perform!
✨Tip Number 3
Showcase your passion for AI and data analytics during interviews. Share examples of how you've used these tools in your previous roles. We want to see that spark in you that aligns with the innovative spirit of the job!
✨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 take that extra step to connect with us directly.
We think you need these skills to ace Business Data Analyst
Some tips for your application 🫡
Tailor Your CV:Make sure your CV highlights your experience in Data Analytics and showcases your skills in SQL, Snowflake, and Python. We want to see how your background aligns with the role, so don’t hold back on those relevant projects!
Craft a Compelling Cover Letter:Use your cover letter to tell us why you’re excited about this opportunity. Share your passion for AI and how you’ve used it in your previous roles. This is your chance to show us your personality and enthusiasm!
Showcase Your Storytelling Skills:Remember, we’re looking for someone who can translate complex data into clear narratives. Include examples in your application where you’ve successfully communicated insights to stakeholders. This will help us see your storytelling prowess!
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 the role. Plus, it makes the process smoother for everyone involved!
How to prepare for a job interview at Randstad Technologies
✨Know Your Tech Stack
Make sure you brush up on your SQL, Snowflake, and Databricks skills before the interview. 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 this role involves Generative AI, come prepared with examples of how you've integrated AI into your analytics work. Share any personal projects or tools you've used that demonstrate your passion for AI-native analytics.
✨Prepare for Storytelling
Think about how you can translate complex data into compelling narratives. Prepare a few examples where your insights influenced decision-making, and practice explaining them clearly and persuasively.
✨Understand Global Markets
Familiarise yourself with the different regulatory and cultural considerations in global markets. Be ready to discuss how you would tailor data strategies to meet diverse needs and enhance customer experiences across regions.
