Senior Business Intelligence Analyst
| Posting date: | 31 May 2025 |
|---|---|
| Hours: | Full time |
| Closing date: | 30 June 2025 |
| Location: | London, EC2M 4AA |
| Company: | NatWest Group |
| Job type: | Permanent |
| Job reference: | R-00257518 |
Summary
Join us as a Senior Business Intelligence Analyst
At Cushon we like to do things a bit differently. Our mission is to help as many people as possible to get comfortable with their finances, and our vision is to bring tech revolution to the financial services industry. We’re looking for talented people to help us build simple, convenient, and delightful financial experiences tailored to our customers.
- You’ll be joining us within the Business Intelligence team that is primarily responsible for our core data model and dashboards
- You'll thrive in a unique and varied role, while shaping the way we provide our customer experience
- Joining Cushon, you’ll help our customers get comfortable with their finances, and support our vision, being responsible for backend data modelling, ETL, and regulatory reporting
- We are looking to pay a salary in the region of £45,000 -£52,500
What you'll do
In this key role, you’ll contribute to our function’s purpose by helping our colleagues, members and clients to make optimal decisions efficiently and at scale using data, ML and AI. This comprises our Business Intelligence, Data Engineering and Data Science teams to work together closely.
You’ll also be:
- Designing and documenting our core data models, and implementing them through efficient SQL-based ETL workflows that deliver clean, high-quality data into our data lake
- Working with business stakeholders to understand and refine management information, operational reporting and regulatory reporting needs and deliver them through analysis and dashboards
- Maintaining our collection of dashboards that tell insightful stories about our data
The skills you'll need
We’re on the lookout for someone with experience in building ETL workflows using AWS Glue or equivalent data lake or data warehouse products and services. You'll have strong analytical skills and an understanding of pension and savings products. Knowledge of working with large datasets in Python and relevant libraries including Pandas, Matplotlib, seaborn or similar would be beneficial.
You’ll also need:
- The ability to write efficient and readable SQL code to manipulate data and perform calculations
- Experience in dashboarding software such as Tableau, Power BI or QuickSight
- Experience working with large cross functional teams in an agile environment managed through JIRA or equivalent tools