Find a job 
Featured Companies 
Featured Universities 
For Companies At a Glance
- Tasks: Transform data into actionable insights with impactful dashboards and reporting solutions.
- Company: Join Finalto, a global leader in trading technology and liquidity solutions.
- Benefits: Professional growth, international exposure, and a chance to shape the future of finance.
- Other info: Collaborative environment with opportunities for career advancement.
- Why this job: Make a real impact by supporting data-driven decision-making in a dynamic team.
- Qualifications: Experience in data analytics, SQL, and Power BI is essential.
The predicted salary is between 35000 - 45000 £ per year.
About Us
Finalto is a global leader in liquidity provision and trading technology solutions, serving institutional and B2B clients across financial markets worldwide. With regulated entities in the UK, Singapore, Cyprus, Australia, and the UAE, and additional operational teams in Denmark and Bulgaria, we combine international reach with local expertise. Our business spans multi-asset liquidity, risk management, and cutting-edge trading platforms, supporting clients in achieving more efficient and sustainable growth. At the core of our success is our commitment to innovation, operational excellence, and robust governance. As part of a global financial services group, Finalto combines the scale and stability of an established organisation with the agility of a fintech innovator. We are driven by collaboration, integrity, and performance. Joining Finalto means becoming part of a diverse and dynamic team where your contributions have real impact. We invest in our people, offering opportunities for professional growth, international exposure, and the chance to shape the future of trading technology and liquidity solutions.
Role Description
As a Data Analyst at Finalto, you will play a key role in transforming data into actionable insights through impactful dashboards and reporting solutions. You will work closely with stakeholders across the business to support data-driven decision-making and help drive continuous improvement in reporting and analytics.
Key Responsibilities
- Develop and maintain interactive dashboards and reports using Power BI
- Analyse datasets to uncover trends and support business decision-making
- Work with stakeholders to understand reporting and data requirements
- Ensure data accuracy, quality, and consistency in reporting outputs
- Work with structured datasets to perform data analysis and transformations
- Support the integration of data from multiple sources
- Collaborate with data engineers to ensure data is accessible and fit for analysis
- Contribute to documentation and best practices for reporting and analytics
Requirements
- Demonstrated experience in data analytics, with a proven ability to deliver actionable insights
- Strong hands-on experience with SQL and Power BI (mandatory)
- Understanding of data modelling and data warehousing concepts
- Strong analytical thinking and problem-solving skills
- Good communication and stakeholder management skills
- Experience with Databricks or other modern data platforms
- Experience in banking, financial services, or fast-paced, data-driven environments is preferred.
Desired Skills
- Basic knowledge of Python (nice to have)
- Experience working in an Agile environment
- Relevant industry certifications
Preferred Qualifications
A degree in STEM or Computer Science.
Data Analyst in London employer: Finalto
Contact Detail:
Finalto 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, attend meetups, and connect with professionals on LinkedIn. You never know who might have the inside scoop on job openings or can refer you directly.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your data analysis projects, especially those using Power BI and SQL. This will give potential employers a taste of what you can do and set you apart from the crowd.
✨Tip Number 3
Prepare for interviews by brushing up on common data analysis questions and scenarios. Practice explaining your thought process when tackling data problems, as this will demonstrate your analytical thinking and problem-solving skills.
✨Tip Number 4
Don’t forget to 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 joining our dynamic team at Finalto.
We think you need these skills to ace Data Analyst in London
Some tips for your application 🫡
Tailor Your CV: Make sure your CV is tailored to the Data Analyst role at Finalto. Highlight your experience with SQL and Power BI, and don’t forget to showcase any relevant projects or achievements that demonstrate your analytical skills.
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you’re passionate about data analytics and how your skills align with Finalto’s mission. Be sure to mention your understanding of data modelling and your experience in fast-paced environments.
Showcase Your Problem-Solving Skills: In your application, give examples of how you've tackled complex data challenges in the past. This will show us that you have the analytical thinking and problem-solving skills we’re looking for in a Data Analyst.
Apply Through Our Website: We encourage you to apply through our website for the best chance of getting noticed. It’s super easy, and you’ll be able to keep track of your application status directly!
How to prepare for a job interview at Finalto
✨Know Your Tools Inside Out
Make sure you’re well-versed in SQL and Power BI, as these are crucial for the role. Brush up on your skills by working on sample datasets or creating mock dashboards to showcase your abilities during the interview.
✨Understand the Business Context
Familiarise yourself with Finalto’s operations and how data analytics supports their goals. Be ready to discuss how your insights can drive decision-making and improve reporting processes within the financial services sector.
✨Prepare for Scenario-Based Questions
Expect questions that ask you to solve real-world problems using data. Practice articulating your thought process when analysing datasets and how you would present your findings to stakeholders.
✨Showcase Your Collaboration Skills
Since the role involves working closely with various teams, be prepared to discuss your experience in collaborating with others. Highlight any past projects where you worked with data engineers or stakeholders to achieve a common goal.