Find a job 
Featured Companies 
Featured Universities 
For Companies At a Glance
- Tasks: Deliver impactful data analysis and visualisation to support risk management.
- Company: Join a growing financial services organisation with a collaborative analytics team.
- Benefits: Competitive salary, professional development, and high visibility in your role.
- Why this job: Make a real impact on decision-making and own your work end-to-end.
- Qualifications: 5+ years as a Data Analyst, advanced Power BI skills, and Python coding experience.
- Other info: Proactive environment with opportunities for growth and collaboration.
The predicted salary is between 36000 - 60000 £ per year.
Job Description
We are supporting a growing financial services organisation in hiring a Senior Data Analyst to join their 2nd Line Risk function. This is a high-visibility role within a collaborative analytics team, working closely with risk colleagues and senior stakeholders across the business.
Unlike some larger tier-1 banks, here you’ll be directly visible, able to own your work end-to-end, and have real impact on decision making.
What you’ll be doing
- Delivering data analysis, visualisation and automation to support the 2nd line Risk function.
- Building and enhancing Power BI dashboards and reporting for senior stakeholders.
- Partnering with colleagues across financial risk, credit risk and 1st line teams to provide analytics services.
- Supporting the team in modernisation projects – helping move from legacy tools into Power BI / Python.
- Contributing to data governance objectives and helping colleagues get the most from data.
- Acting as a key day-to-day contact in the team, ensuring analytics are delivered effectively.
What we’re looking for
- 5+ years’ experience in a Data Analyst role, ideally within financial services or risk.
- Advanced skills in Power BI – this is essential.
- Strong communication skills – confident presenting insights and influencing stakeholders at all levels.
- Coding experience in Python (or SAS with willingness to learn Python).
- Knowledge of risk/financial terminology, and an interest in applying analytics in a risk management environment.
- Proactive, collaborative and able to thrive in a flat structure with high visibility.
Senior Data Analyst - PowerBI employer: InterQuest Group
Contact Detail:
InterQuest Group Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Data Analyst - PowerBI
✨Tip Number 1
Network like a pro! Reach out to your connections in the financial services sector and let them know you're on the hunt for a Senior Data Analyst role. You never know who might have the inside scoop on openings or can put in a good word for you.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your Power BI dashboards and any relevant projects you've worked on. This will give potential employers a taste of what you can bring to the table, especially when it comes to data visualisation and analytics.
✨Tip Number 3
Prepare for interviews by brushing up on your communication skills. Practice explaining complex data insights in simple terms, as you'll need to influence stakeholders at all levels. Remember, it's not just about the numbers; it's about telling a story with them!
✨Tip Number 4
Don't forget to apply through our website! We love seeing candidates who are genuinely interested in joining us. Plus, it gives you a chance to showcase your enthusiasm for the role and the company right from the start.
We think you need these skills to ace Senior Data Analyst - PowerBI
Some tips for your application 🫡
Tailor Your CV: Make sure your CV speaks directly to the role of Senior Data Analyst. Highlight your experience with Power BI and any relevant projects in financial services. We want to see how your skills align with what we're looking for!
Showcase Your Communication Skills: Since this role involves influencing stakeholders, don’t shy away from showcasing your communication prowess. Use examples in your application that demonstrate how you've effectively presented insights or collaborated with teams.
Highlight Your Technical Skills: We’re keen on your technical abilities, especially in Power BI and Python. Be specific about your experience and any projects where you’ve used these tools to deliver impactful analytics. This is your chance to shine!
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 updates. Plus, it’s super easy!
How to prepare for a job interview at InterQuest Group
✨Know Your Power BI Inside Out
Make sure you brush up on your Power BI skills before the interview. Be ready to discuss specific dashboards you've built and how they impacted decision-making. Prepare to showcase your ability to visualise data effectively, as this will be crucial for the role.
✨Understand the Risk Landscape
Familiarise yourself with key risk and financial terminology relevant to the role. This will not only help you answer questions more confidently but also demonstrate your genuine interest in the field. Consider how analytics can enhance risk management and be prepared to share your thoughts.
✨Practice Your Communication Skills
Since strong communication is essential, practice presenting your past projects and insights clearly and concisely. Think about how you can influence stakeholders at various levels and prepare examples that highlight your ability to convey complex information simply.
✨Show Your Collaborative Spirit
This role requires working closely with different teams, so be ready to discuss your experience in collaborative environments. Share examples of how you've partnered with colleagues in the past, especially in modernisation projects or when transitioning from legacy tools to new technologies like Power BI or Python.