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- Tasks: Analyse complex datasets and design scalable data solutions for financial innovation.
- Company: Dynamic financial services firm focused on data-driven decision-making.
- Benefits: Competitive salary, career progression, and ongoing learning opportunities.
- Other info: Collaborative environment with a focus on innovation and professional growth.
- Why this job: Shape the future of finance with impactful data projects and cutting-edge technologies.
- Qualifications: Strong data analysis skills, proficiency in SQL/Python, and experience with cloud platforms.
The predicted salary is between 40000 - 50000 £ per year.
Are you a forward-thinking Data Analyst passionate about building secure, scalable systems that drive financial innovation?
The Role
You’ll play a key role in shaping how data is used within a fast-paced financial environment - designing solutions that meet regulatory requirements while enabling smarter business decisions.
Working across the full data lifecycle, you’ll analyse complex datasets and contribute to designing enterprise-level data solutions that support transformation and growth.
Key Responsibilities
- Analyse and model structured and unstructured data using logical and physical modelling techniques
- Design scalable data architectures, including data flows and ETL processes
- Support modern, cloud-based data platforms and solutions
- Ensure data quality, governance, lineage, and compliance with regulations (e.g. GDPR)
- Translate business requirements into data-driven solutions
- Collaborate with cross-functional stakeholders to deliver impactful outcomes
- Contribute to advanced analytics initiatives such as predictive modelling and fraud detection
Skills & Experience
Essential:
- Strong experience in data analysis, profiling, and data mapping
- Proficiency in SQL and/or Python
- Solid understanding of data modelling, normalization, and performance optimisation
- Experience with data governance, security, and regulatory compliance
- Hands-on experience with ETL processes, data warehouses, and cloud platforms (e.g. AWS, Azure, GCP, Snowflake)
- Ability to communicate technical concepts clearly to non-technical stakeholders
Desirable:
- Experience with data visualisation tools (e.g. Power BI, Tableau)
- Familiarity with metadata management and governance tools (e.g. Purview, Collibra, Informatica)
- Exposure to AI/ML use cases in analytics
- Background in financial services or other regulated industries
What’s on Offer
- Opportunity to work on large-scale, high-impact data transformation projects
- Exposure to modern data technologies and cloud platforms
- Clear career progression into architecture or leadership roles
- Collaborative and innovative working environment
- Ongoing learning, development, and certification support
Data Analyst SQL Python Tableau in London employer: Lynx Recruitment Ltd
Contact Detail:
Lynx Recruitment Ltd Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Analyst SQL Python Tableau 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 SQL, Python, and Tableau. 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-related questions and scenarios. Practice explaining your thought process clearly, especially when discussing complex datasets or data governance issues.
✨Tip Number 4
Don’t forget to apply through our website! We’re always on the lookout for talented Data Analysts who are ready to make an impact. Plus, it’s a great way to ensure your application gets noticed!
We think you need these skills to ace Data Analyst SQL Python Tableau in London
Some tips for your application 🫡
Tailor Your CV: Make sure your CV reflects the skills and experience mentioned in the job description. Highlight your proficiency in SQL, Python, and any data visualisation tools like Tableau. We want to see how you can contribute to our data-driven solutions!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you're passionate about data analysis and how your background aligns with our mission at StudySmarter. Don’t forget to mention any relevant projects or experiences that showcase your skills.
Showcase Your Projects: If you've worked on any data projects, whether in a professional setting or as personal endeavours, include them in your application. We love seeing real examples of your work, especially those that demonstrate your ability to analyse complex datasets and design scalable solutions.
Apply Through Our Website: We encourage you to apply directly through our website for a smoother application process. It helps us keep track of your application and ensures you don’t miss out on any important updates from us. Plus, it’s super easy!
How to prepare for a job interview at Lynx Recruitment Ltd
✨Know Your Data Tools
Make sure you brush up on your SQL and Python skills before the interview. Be ready to discuss how you've used these tools in past projects, especially in relation to data analysis and ETL processes. This will show that you’re not just familiar with the tools, but that you can apply them effectively.
✨Understand the Business Context
Familiarise yourself with the financial industry and the specific challenges it faces regarding data governance and compliance. Being able to translate business requirements into data-driven solutions will impress your interviewers and demonstrate your understanding of the role's impact.
✨Showcase Your Collaboration Skills
Prepare examples of how you've worked with cross-functional teams in the past. Highlight your ability to communicate complex technical concepts to non-technical stakeholders. This is crucial in a role where collaboration is key to delivering impactful outcomes.
✨Be Ready for Technical Questions
Expect to face some technical questions or even a practical test related to data modelling and performance optimisation. Brush up on your knowledge of data architectures and be prepared to discuss how you ensure data quality and compliance with regulations like GDPR.