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For Companies At a Glance
- 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 exposure to advanced analytics and leadership roles.
- Why this job: Join a team shaping the future of finance with cutting-edge data 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 - Tableau, Power BI, SQL 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 - Tableau, Power BI, SQL 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, Tableau, or Power BI. This gives potential employers a taste of what you can do and sets you apart from the crowd.
✨Tip Number 3
Prepare for interviews by brushing up on your technical skills and understanding the latest trends in data governance and compliance. Be ready to discuss how you've tackled real-world problems with data-driven solutions.
✨Tip Number 4
Don’t forget to apply through our website! We’re always on the lookout for talented Data Analysts who are eager 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 - Tableau, Power BI, SQL in London
Some tips for your application 🫡
Tailor Your CV: Make sure your CV speaks directly to the job description. Highlight your experience with SQL, data analysis, and any relevant tools like Tableau or Power BI. We want to see how your skills align with what we're looking for!
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 you can contribute to our team. Don’t forget to mention your experience with data governance and compliance – it’s a big deal for us!
Showcase Your Projects: If you've worked on any cool data projects, make sure to include them! Whether it's predictive modelling or ETL processes, we love seeing real examples of your work. It helps us understand your hands-on experience better.
Apply Through Our Website: We encourage you to apply through our website for a smoother process. It helps us keep track of applications and ensures you don’t miss out on any important updates. Plus, it shows you're keen on joining our team!
How to prepare for a job interview at Lynx Recruitment Ltd
✨Know Your Data Tools
Make sure you brush up on your SQL, Python, and data visualisation tools like Tableau and Power BI. Be ready to discuss specific projects where you've used these tools to analyse data or create impactful visualisations.
✨Understand the Business Context
Familiarise yourself with the financial services industry and the regulatory requirements that come with it. Being able to translate business needs into data-driven solutions will show that you can think strategically about your role.
✨Showcase Your Problem-Solving Skills
Prepare examples of how you've tackled complex data challenges in the past. Whether it's designing scalable data architectures or ensuring data quality, having concrete examples will demonstrate your analytical prowess.
✨Communicate Clearly
Practice explaining technical concepts in simple terms. You'll likely need to collaborate with non-technical stakeholders, so being able to convey your ideas clearly is crucial for success in this role.