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- Tasks: Analyse data, automate processes, and create self-serve data assets for stakeholders.
- Company: Fast-growing AI intelligence company transforming banking and insurance.
- Benefits: Competitive salary, flexible office days, and a chance to work with cutting-edge AI technology.
- Other info: Exciting opportunity for career growth in a fast-paced environment.
- Why this job: Join a dynamic team and make a real impact in the AI and financial services industry.
- Qualifications: Proficient in SQL or Python, with strong attention to detail and communication skills.
The predicted salary is between 55000 - 60000 £ per year.
Salary: up to £55-60k
Location: Chancery Lane (3 office days/week)
Industry: FS / AI
This AI intelligence/research company is building the global benchmark for AI adoption in banking and insurance. Backed by top-tier tech investors and covered by the New York Times, they're scaling fast - and their data team is at the core of everything they do. They're now looking for a Data Analyst, ready to take their career to the next level.
In this role, you will work closely with various stakeholders across the business to build out self-serve data assets, automate index processes and deliver high quality datasets. The ideal candidate will have a proven track record of dealing with business stakeholders, working with SQL/Python and have a high attention to detail. This is a fantastic opportunity to join a fast growing team and be involved in all aspects of data from engineering to analysis.
Must have requirements:- Proficiency in SQL or Python (both would be ideal)
- Experience building and maintaining analysis ready datasets and automated data workflows
- High attention to detail especially in terms of data quality and governance
- Great communication skills and stakeholder management skills
- Genuine interest in AI - ideally showcased by professional or side projects
- Experience with dashboarding and BI tools (Tableau, Looker, PowerBI, Omni etc.)
- Familiarity with cloud infrastructure (GCP preferred)
- Experience working in Financial Services or consulting
- Google Apps Script / Javascript
- Working in small, fast-paced and scaling environments
Please note: unfortunately, this role does not offer VISA sponsorship.
Data Analyst in London employer: Wave Group
Contact Detail:
Wave Group Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Analyst in London
✨Tip Number 1
Network like a pro! Reach out to people in the industry, especially those already working at companies you're interested in. A friendly chat can open doors and give you insider info that could help you stand out.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your SQL and Python projects. Whether it's a personal project or something from work, having tangible examples of your work can really impress potential employers.
✨Tip Number 3
Prepare for interviews by practising common data analyst questions. Think about how you can demonstrate your attention to detail and stakeholder management skills through real-life examples. We want you to shine!
✨Tip Number 4
Apply through our website! It’s the best way to ensure your application gets seen. Plus, we love seeing candidates who are proactive and eager to join our fast-growing team.
We think you need these skills to ace Data Analyst in London
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience with SQL and Python, as well as any relevant projects in AI. We want to see how your skills align with the role, so don’t be shy about showcasing your achievements!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you're passionate about data analysis and AI. We love seeing genuine interest, so share any side projects or experiences that demonstrate your enthusiasm.
Showcase Your Attention to Detail: Since this role requires a high attention to detail, make sure your application is free from typos and errors. We appreciate candidates who take the time to ensure their work is polished and professional.
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’s super easy!
How to prepare for a job interview at Wave Group
✨Know Your Data Tools
Make sure you brush up on your SQL and Python skills before the interview. Be ready to discuss specific projects where you've used these tools, as well as any automated workflows you've built. This will show that you not only understand the technical side but can also apply it effectively.
✨Showcase Your Attention to Detail
Prepare examples that highlight your attention to detail, especially regarding data quality and governance. You might want to share a story about a time when your meticulousness made a significant impact on a project or dataset.
✨Communicate Like a Pro
Since this role involves working closely with stakeholders, practice articulating your thoughts clearly and concisely. Think of ways to explain complex data concepts in simple terms, as this will demonstrate your communication skills and ability to engage with non-technical team members.
✨Express Your Passion for AI
Be prepared to discuss your genuine interest in AI. Whether it's through professional experience or personal projects, sharing your enthusiasm and knowledge about AI trends will resonate well with the interviewers and show that you're a good fit for their innovative environment.