At a Glance
- Tasks: Shape data usage in finance by analysing complex datasets and designing scalable solutions.
- Company: Dynamic financial firm focused on innovation and collaboration.
- Benefits: Work on impactful projects with clear career progression and ongoing learning support.
- Other info: Collaborative environment with opportunities for leadership roles.
- Why this job: Join a team driving financial innovation through data and modern 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
We think you need these skills to ace Data Analyst
Data Analysis
Data Profiling
Data Mapping
SQL
Python
Data Modelling
Normalisation
