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- Tasks: Transform chaotic data into a unified, AI-ready platform using Azure and Databricks.
- Company: Join a forward-thinking company focused on data innovation.
- Benefits: Enjoy remote work flexibility, competitive salary, and opportunities for professional growth.
- Why this job: Shape the future of data analytics and make a real impact in a dynamic environment.
- Qualifications: Experience as a Principal Data Analyst or Data Engineer with strong SQL and Databricks skills.
- Other info: Work closely with a talented team and influence key decisions in a collaborative setting.
The predicted salary is between 36000 - 60000 £ per year.
Are you the kind of Data Analyst who can take a messy, noisy, slightly chaotic data landscape and wrap a proper layer of structure around it? Right now, the business has huge amounts of data coming in from multiple parts of the organisation, but everything is pretty siloed. Different teams. Different feeds. Different standards. Nothing centralised yet.
The goal is to build a unified data platform on Azure with Databricks at its core. Something that actually behaves like a proper, governed, scalable, AI-ready environment. You will work closely with the Architect to translate the vision into a coherent set of analyses and insights that drive delivery. This will involve working with both legacy systems and newer technology as the platform modernises.
Reporting directly into the Architect, this will be the most senior Analyst amongst a team of data engineers, data scientists, and data analysts sitting under you. Primarily remote, the office is based in London, and you’ll need to be able to get there on occasion (once a month or so). You must be UK based for this position.
What we are looking for:
- Solid Principal / Lead Data Analyst or Data Engineer background
- Deep experience with SQL, Databricks, and all the plumbing that makes a modern data stack actually work
- Strong legacy tech experience – SPSS, SAS, Tableau etc (this is all tech that they are looking to consolidate)
- Strong communicator who can influence decisions without steamrolling people
Advantageous skills include experience with:
- Come from a background that is Financial, Economic, or extremely numbers driven
- If you have played with AI or worked in that sort of environment
The bigger picture:
You will help bring together multiple streams of operational, product, and customer data that currently sit across separate environments. The mission is to unify everything into a single, governed platform that unlocks real insight and sets the foundation for advanced analytics and AI driven intelligence.
If you want a role where you can genuinely shape a data ecosystem and build something future ready rather than just maintain someone else’s blueprint, this is worth a conversation.
Principal Data Analyst in London employer: FYRE Global
Contact Detail:
FYRE Global Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Principal Data Analyst in London
✨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 put in a good word for you.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your data projects, especially those involving SQL and Databricks. This will give you an edge and demonstrate your ability to handle messy data landscapes.
✨Tip Number 3
Prepare for interviews by brushing up on your communication skills. Practice explaining complex data concepts in simple terms, as you'll need to influence decisions without steamrolling anyone. We want to see how you can make data relatable!
✨Tip Number 4
Apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, it shows you're genuinely interested in being part of our mission to unify data and drive insights.
We think you need these skills to ace Principal Data Analyst in London
Some tips for your application 🫡
Show Your Data Passion: When writing your application, let your enthusiasm for data shine through! Share specific examples of how you've tackled messy data landscapes in the past and what you enjoyed about the process. We love seeing candidates who are genuinely excited about transforming chaos into clarity.
Tailor Your Experience: Make sure to highlight your experience with SQL, Databricks, and any legacy tech like SPSS or Tableau. We want to see how your background aligns with our needs, so don’t be shy about showcasing relevant projects or achievements that demonstrate your skills.
Communicate Clearly: As a Principal Data Analyst, strong communication is key! In your application, focus on how you've influenced decisions and collaborated with teams in the past. We appreciate clear, concise writing that reflects your ability to convey complex ideas without overwhelming others.
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 it gets into the right hands. Plus, it shows you’re keen on joining our team at StudySmarter!
How to prepare for a job interview at FYRE Global
✨Know Your Data Stack
Make sure you brush up on your knowledge of SQL, Databricks, and the various tools mentioned in the job description. Be ready to discuss how you've used these technologies in past projects, especially in unifying data from different sources.
✨Showcase Your Communication Skills
As a Principal Data Analyst, you'll need to influence decisions without being overbearing. Prepare examples of how you've successfully communicated complex data insights to non-technical stakeholders. This will demonstrate your ability to bridge the gap between technical and business teams.
✨Emphasise Your Legacy Tech Experience
Don't forget to highlight your experience with legacy systems like SPSS, SAS, and Tableau. Be prepared to discuss how you've integrated or transitioned from these older technologies to modern solutions, as this is crucial for the role.
✨Understand the Bigger Picture
Familiarise yourself with the company's mission to unify data across different environments. Think about how your previous experiences can contribute to building a governed, scalable platform. Be ready to share your vision for what a future-ready data ecosystem looks like.
