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- Tasks: Analyse complex datasets and support cloud-based data solutions in finance.
- Company: Leading global data and analytics organisation with a focus on innovation.
- Benefits: Competitive pay, hybrid work model, and opportunities for impactful projects.
- Why this job: Join a dynamic team and make a real difference in financial decision-making.
- Qualifications: Experience as a Data Analyst with strong SQL and cloud platform skills.
- Other info: Exciting opportunity for career growth in a regulated environment.
The predicted salary is between 36000 - 60000 £ per year.
Oliver James has partnered with a leading global data and analytics organisation to support the hire of three Data Analysts on an initial 6-month contract. This is an opportunity to join a well-established financial services environment where data sits at the heart of decision-making. The team is undergoing transition and reshaping its onshore capability, so you'll play a key role in delivering and supporting cloud-based data solutions within a regulated setting. If you have strong data analysis experience and exposure to cloud platforms, particularly within financial services, this role offers immediate impact and meaningful project work.
Key Responsibilities
- Analyse and interpret complex datasets to support business and regulatory requirements
- Work with cloud-based data platforms (Azure preferred)
- Translate business requirements into clear data outputs and insights
- Support data quality, validation and governance processes
- Collaborate with cross-functional stakeholders across technology and business teams
- Contribute to reporting, dashboards and data-driven decision support
- Ensure compliance within a regulated financial services environment
Essential Skills
- Proven experience as a Data Analyst in a commercial environment
- Strong exposure to cloud-based data platforms (Azure desirable)
- Experience working within Financial Services
- Strong SQL and data manipulation skills
- Ability to engage confidently with business stakeholders
- Experience handling large, complex datasets
- Strong understanding of data governance and quality principles
Desirable Skills
- Experience within credit referencing or credit risk environments
- Broader financial services background (banking, lending, fintech, etc.)
- Exposure to modern data engineering or analytics tooling
- Experience working in regulated environments
- Knowledge of reporting or BI tools
- Prior experience in fast-paced transformation or transition programmes
If you're immediately available (or coming free shortly) and open to a Leeds-based hybrid contract, please apply with your updated CV.
Data Analyst in Leeds employer: Oliver James
Contact Detail:
Oliver James Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Analyst in Leeds
✨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 lookout for Data Analyst roles. Sometimes, it's all about who you know, and a friendly nudge can lead to great opportunities.
✨Tip Number 2
Get your hands dirty with some practical projects. Whether it’s personal projects or contributing to open-source, showcasing your skills in cloud-based data solutions can really make you stand out. Plus, it gives you something solid to talk about in interviews!
✨Tip Number 3
Prepare for those interviews by brushing up on your SQL and data manipulation skills. Be ready to discuss how you've handled complex datasets and ensure you can translate business requirements into actionable insights. Confidence is key!
✨Tip Number 4
Don’t forget to apply through our website! We’ve got loads of opportunities that might just be the perfect fit for you. Plus, applying directly can sometimes give you an edge over other candidates.
We think you need these skills to ace Data Analyst in Leeds
Some tips for your application 🫡
Tailor Your CV: Make sure your CV is tailored to the Data Analyst role. Highlight your experience with cloud platforms like Azure and your strong SQL skills. We want to see how your background fits into our financial services environment!
Showcase Your Data Skills: When writing your application, don’t just list your skills—show us how you've used them! Share specific examples of how you've analysed complex datasets or contributed to data governance processes in previous roles.
Engage with the Job Description: Read through the job description carefully and make sure you address the key responsibilities and essential skills. We love it when applicants connect their experiences directly to what we’re looking for!
Apply Through Our Website: We encourage you to apply through our website for a smoother process. It’s the best way for us to receive your application and get you in the loop for this exciting opportunity!
How to prepare for a job interview at Oliver James
✨Know Your Data Inside Out
Before the interview, dive deep into your past data analysis projects. Be ready to discuss specific datasets you've worked with, the tools you used (especially Azure), and how your insights impacted decision-making. This will show your expertise and confidence.
✨Brush Up on SQL Skills
Since strong SQL skills are essential for this role, make sure you're comfortable with writing queries and manipulating data. Practise common SQL problems and be prepared to demonstrate your skills during the interview, as they might ask you to solve a real-time scenario.
✨Understand the Financial Services Landscape
Familiarise yourself with the financial services sector, especially if you have experience in credit referencing or risk environments. Being able to speak knowledgeably about industry trends and regulations will impress your interviewers and show that you’re a good fit for their team.
✨Prepare for Stakeholder Engagement
Since collaboration with cross-functional teams is key, think of examples where you've successfully engaged with business stakeholders. Prepare to discuss how you translated business requirements into actionable data insights, showcasing your communication skills and ability to work in a regulated environment.