At a Glance
- Tasks: Analyse data and provide actionable insights to various teams.
- Company: Join a leading global provider in the digital assets space.
- Benefits: Enjoy a hybrid working environment and a competitive salary with bonuses.
- Other info: Ideal for self-starters who thrive in fast-paced, agile teams.
- Why this job: Shape the future of digital markets while working with cutting-edge technologies.
- Qualifications: 2+ years in data analysis, proficient in Python, and strong communication skills required.
The predicted salary is between 40000 - 60000 € per year.
We’re hiring a Data Analyst to support the growth of a global data and index provider in the digital assets space - delivering trusted, high-impact insights for clients, partners, and internal teams. This is a hands-on, insight-led role, focused on making complex datasets meaningful across product, engineering, and commercial functions. You'll play a key role in defining performance metrics, automating anomaly detection, and telling the story behind the numbers.
What you’ll be doing:
- Analysing data products and supporting wider teams with actionable insight
- Building QA metrics, KPIs, and automated anomaly detection tools
- Supporting product teams with success metrics and ongoing data refinement
- Visualising insights through dashboards and reports
- Collaborating cross-functionally with engineering, product, and commercial teams
What we’re looking for:
- 2+ years' experience in data analysis or data science (financial data)
- Proficient in Python (Pandas, NumPy, Matplotlib, etc.)
- Experience with APIs (REST/WebSocket) and time series datasets
- Strong communicator, comfortable translating complex data for non-technical stakeholders
- Self-starter, curious mindset, and thrives in fast-paced, agile teams
What you get:
- Salary £50,000–£60,000 basic (DOE) + 15% bonus
- Hybrid working environment
- High-impact role in a globally recognised digital data business
- Work with cutting-edge technologies and teams
If you love diving into data, solving meaningful problems, and want to shape the future of digital markets - we’d love to hear from you. Apply now or message Oliver for more info.
StudySmarter Expert Advice🤫
We think this is how you could land Data Analyst - Digital Asset in London
✨Tip Number 1
Familiarise yourself with the latest trends in digital assets and financial data analysis. This will not only help you understand the industry better but also allow you to engage in meaningful conversations during interviews.
✨Tip Number 2
Brush up on your Python skills, especially with libraries like Pandas and NumPy. Consider working on personal projects or contributing to open-source projects that involve data analysis to showcase your proficiency.
✨Tip Number 3
Prepare to discuss how you've previously translated complex data into actionable insights for non-technical stakeholders. Having specific examples ready can demonstrate your communication skills and understanding of the role.
✨Tip Number 4
Network with professionals in the digital asset space. Attend relevant webinars or meetups to connect with others in the field, which could lead to valuable insights and potential referrals for the position.
We think you need these skills to ace Data Analyst - Digital Asset in London
Some tips for your application 🫡
Tailor Your CV:Make sure your CV highlights relevant experience in data analysis, particularly with financial data. Emphasise your proficiency in Python and any experience with APIs or time series datasets.
Craft a Compelling Cover Letter:In your cover letter, express your passion for data analysis and how it aligns with the role. Mention specific projects where you've translated complex data into actionable insights, showcasing your communication skills.
Showcase Technical Skills:Clearly outline your technical skills in Python, including libraries like Pandas, NumPy, and Matplotlib. If you have experience with automated anomaly detection or building dashboards, be sure to include that as well.
Highlight Collaboration Experience:Since the role involves cross-functional collaboration, mention any past experiences where you've worked with engineering, product, or commercial teams. This will demonstrate your ability to communicate effectively with non-technical stakeholders.
How to prepare for a job interview at enable Technology
✨Showcase Your Technical Skills
Make sure to highlight your proficiency in Python and any relevant libraries like Pandas and NumPy. Be prepared to discuss specific projects where you've used these tools to analyse financial data.
✨Prepare for Scenario-Based Questions
Expect questions that assess your problem-solving skills, especially in relation to anomaly detection and performance metrics. Think of examples from your past experience where you successfully identified and resolved data issues.
✨Communicate Clearly
Since the role involves translating complex data for non-technical stakeholders, practice explaining your past analyses in simple terms. This will demonstrate your ability to communicate effectively across teams.
✨Demonstrate Your Curiosity
Show your passion for data by discussing recent trends in digital assets or any personal projects you've undertaken. A curious mindset is key in fast-paced environments, so let your enthusiasm shine through!
