At a Glance
- Tasks: Analyse data, automate processes, and create self-serve data assets.
- Company: Fast-growing AI research company transforming banking and insurance.
- Benefits: Competitive salary, flexible office days, and a dynamic work environment.
- Other info: Exciting career growth opportunities in a fast-paced setting.
- Why this job: Join a cutting-edge team and shape the future of AI in finance.
- Qualifications: Proficient in SQL or Python with strong attention to detail.
The predicted salary is between 55000 - 60000 € per year.
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 employer: Wave Group
Join a pioneering AI intelligence company located in the vibrant Chancery Lane, where innovation meets opportunity. As a Data Analyst, you'll thrive in a dynamic work culture that values collaboration and growth, with access to cutting-edge technology and a chance to shape the future of AI in banking and insurance. With a competitive salary and the flexibility of three office days a week, this role offers not just a job, but a meaningful career path in a fast-growing team at the forefront of the industry.
StudySmarter Expert Advice🤫
We think this is how you could land Data Analyst
✨Tip Number 1
Network like a pro! Reach out to people in the industry, especially those working in AI and financial services. A friendly chat can lead to insider info about job openings or even a referral.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your SQL and Python projects. Whether it's a cool data visualisation or an automated workflow, having tangible examples can really impress potential employers.
✨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 engage with various stakeholders in this role.
✨Tip Number 4
Don't forget to apply through our website! We love seeing candidates who are genuinely interested in joining our team. Plus, it makes it easier for us to keep track of your application.
We think you need these skills to ace Data Analyst
Some tips for your application 🫡
Tailor Your CV:Make sure your CV speaks directly to the Data Analyst role. Highlight your SQL and Python skills, and any experience with data workflows. We want to see how your background aligns with what we're looking for!
Craft a Compelling Cover Letter:Your cover letter is your chance to shine! Share your genuine interest in AI and any relevant projects you've worked on. Let us know why you're excited about joining our team at StudySmarter.
Showcase Your Attention to Detail:In the world of data, details matter! Use specific examples in your application that demonstrate your high attention to detail, especially regarding data quality and governance. We love candidates who take pride in their work!
Apply Through Our Website:We encourage you to apply through our website for a smoother process. It helps us keep track of your application and ensures you don’t miss out on any important updates from us!
How to prepare for a job interview at Wave Group
✨Know Your SQL and Python
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 languages, as well as any challenges you faced and how you overcame them.
✨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.
✨Communicate Effectively
Since this role involves working with various stakeholders, practice articulating your thoughts clearly. Think of ways to explain complex data concepts in simple terms, as this will demonstrate your communication skills.
✨Demonstrate Your Interest in AI
Bring along any relevant side projects or experiences that showcase your genuine interest in AI. Whether it's a personal project or something from your previous job, showing passion can set you apart from other candidates.
