How your CV stacks up
Upload your CV to see how well it fits this job role
?%
Graduate Data Analyst
The Graduate Data Analyst supports the organisation's reporting and business intelligence capabilities by extracting, analysing and presenting data that enables informed decision-making across the business. Working closely with Operations, Delivery, Product and Client Success teams, the role is responsible for producing accurate reports, developing dashboards, maintaining data quality and identifying trends that support both internal stakeholders and external clients.
This is an entry-level role designed to provide practical experience in data analytics, business intelligence and reporting within a fast-paced fintech environment, with opportunities to develop technical expertise and progress into more senior data and analytics roles.
Essential
- Degree in Data Analytics, Computer Science, Mathematics, Statistics, Economics, Business Analytics or a related discipline.
- Strong analytical and problem-solving skills.
- Working knowledge of SQL and relational databases.
- Proficiency in Microsoft Excel, including formulas, PivotTables and data analysis.
- Excellent attention to detail and commitment to data accuracy.
- Strong written and verbal communication skills.
- Ability to explain data and insights clearly to non-technical audiences.
- Strong organisational skills with the ability to manage multiple priorities.
- Ability to work independently and collaboratively within a team environment.
Reasons to use Rodeo
Start with a chat, not a search bar
Grad scheme, placement, apprenticeship? Not sure what you want yet — that's fine. Your agent talks it through with you and turns "I have no idea" into a shortlist.
It searches the market for you
Every day your agent scans the market matching roles against what actually matters to you, not just keywords on a CV.
Only hits
No noise. No "maybe this fits." Just roles with a clear explanation of why they're right — and where to focus when applying.
Desirable
- Experience with Power BI, Tableau or similar business intelligence tools.
- Knowledge of Python, R or other analytical programming languages.
- Understanding of data visualisation best practices.
- Familiarity with cloud-based data platforms.
- Internship, placement or university project experience involving data analysis or reporting.
- Exposure to financial services, enterprise software or fintech environments.
Responsibilities
Data Analysis & Reporting
- Extract, validate and analyse data from internal systems and databases.
- Produce regular operational, management and client-facing reports.
- Develop dashboards and visualisations that provide meaningful business insights.
- Identify trends, anomalies and opportunities within datasets.
- Support ad hoc reporting requests across the business.
Data Management
- Query and manipulate data using SQL.
- Perform data cleansing and validation to ensure data quality and integrity.
- Maintain reporting datasets, documentation and reporting standards.
- Support the continuous improvement of reporting processes.
Get help with your application
Your very own career expert that helps elevate your application to the next level.
Business Intelligence
- Develop dashboards and KPI reporting using business intelligence tools.
- Support the automation of recurring reports and manual reporting processes.
- Assist business users in understanding and interpreting data.
- Contribute to improving data accessibility and reporting efficiency.
Stakeholder Support
- Work collaboratively with Operations, Delivery, Product and Client Success teams.
- Produce accurate reporting for external clients where required.
- Support stakeholder reporting requirements and respond to reporting queries.
- Build positive working relationships across the business.
Continuous Improvement
- Identify opportunities to improve reporting processes and data quality.
- Support initiatives that enhance the organisation's data maturity.
- Contribute to the development of reporting templates, documentation and best practices.
- Maintain a proactive approach to learning new analytical tools and technologies.
Benefits
- Competitive salary
- Private healthcare (employee cover)
- BHN Extras benefits and discounts
- Additional annual leave based on length of service, with one extra day awarded for each completed year of service, up to a maximum of five additional days
- Flexible working
“It took my CV and asked me questions relevant to understanding what kind of jobs to suggest for me. Suggestions were almost perfect. Jobs were exactly what I’ve been looking for.”
Jessica, London
Skills
Location