At a Glance
- Tasks: Build a unified data platform on Azure and collaborate with architects to drive analytics.
- Company: Data-driven company based in London with a focus on innovation.
- Benefits: Remote work flexibility, competitive salary, and opportunities for professional growth.
- Why this job: Shape a future-ready data ecosystem and make a real impact in the industry.
- Qualifications: Strong background in SQL, SPSS, Tableau, and experience in data analytics.
- Other info: Join a dynamic team with occasional office visits for collaboration.
The predicted salary is between 36000 - 60000 Β£ per year.
A data-driven company based in London is seeking an experienced Lead Data Analyst to help build a unified data platform on Azure with Databricks. The candidate should have a strong background in SQL and legacy technologies like SPSS and Tableau. This role involves collaborating closely with the Architect to drive analytics and unify data across the organization. The position is primarily remote but requires occasional office visits. Join us to shape a future-ready data ecosystem.
Senior Data Analyst: Build AI-Ready Unified Data Platform (Remote) employer: FYRE Global
Contact Detail:
FYRE Global Recruiting Team
StudySmarter Expert Advice π€«
We think this is how you could land Senior Data Analyst: Build AI-Ready Unified Data Platform (Remote)
β¨Tip Number 1
Network like a pro! Reach out to your connections in the data field, especially those who work with Azure or Databricks. A friendly chat can lead to insider info about job openings and even referrals.
β¨Tip Number 2
Show off your skills! Create a portfolio showcasing your SQL projects or any analytics work you've done with SPSS and Tableau. This gives potential employers a taste of what you can bring to their unified data platform.
β¨Tip Number 3
Prepare for interviews by brushing up on your technical knowledge. Be ready to discuss how you've collaborated with architects or driven analytics in past roles. We want to see how you can contribute to shaping a future-ready data ecosystem!
β¨Tip Number 4
Donβt forget to apply through our website! Itβs the best way to ensure your application gets noticed. Plus, we love seeing candidates who are proactive about joining our team.
We think you need these skills to ace Senior Data Analyst: Build AI-Ready Unified Data Platform (Remote)
Some tips for your application π«‘
Show Off Your Skills: Make sure to highlight your experience with SQL and any legacy technologies like SPSS and Tableau. We want to see how your skills align with our needs for building a unified data platform.
Tailor Your Application: Donβt just send a generic CV! Customise your application to reflect how your background fits the role of Senior Data Analyst. We love seeing candidates who take the time to connect their experience with what weβre looking for.
Be Clear and Concise: When writing your application, keep it straightforward. We appreciate clarity, so make sure your points are easy to read and get straight to the heart of your experience and achievements.
Apply Through Our Website: We encourage you to apply directly through our website. Itβs the best way for us to receive your application and ensures youβre considered for this exciting opportunity to shape a future-ready data ecosystem!
How to prepare for a job interview at FYRE Global
β¨Know Your Data Tools
Make sure you brush up on your SQL skills and get familiar with Azure and Databricks. Be ready to discuss how you've used these tools in past projects, as this will show your practical experience and understanding of the technologies.
β¨Showcase Your Analytical Mindset
Prepare examples of how you've tackled complex data problems in the past. Think about specific challenges you faced and how you approached them using SPSS or Tableau. This will demonstrate your analytical thinking and problem-solving abilities.
β¨Collaboration is Key
Since this role involves working closely with an Architect, be prepared to discuss your experience in collaborative environments. Share examples of how you've successfully worked with cross-functional teams to drive analytics and unify data.
β¨Ask Insightful Questions
At the end of the interview, donβt forget to ask questions that show your interest in the companyβs data strategy. Inquire about their current data challenges or how they envision the unified data platform evolving. This shows you're not just interested in the role, but also in contributing to their future success.