Job description
Our people work differently depending on their jobs and needs. From hybrid working to flexible hours, we have plenty of options that help our people to thrive.
This role is based in the United Kingdom and as such all normal working days must be carried out in the United Kingdom.
Join us as a Data Analyst
- Take on a new challenge in a cutting edge data team, in which you’ll manage the analysis of complex bank, franchise or function data to identify business issues and opportunities
- We’ll look to you to provide high quality analytical input to help develop and implement innovative processes and resolve problems across the bank
- This is a critical role in which you’ll be responsible for promoting a culture that helps us manage fraud risk effectively within the business
What you'll do
As a Data Analyst, you'll play a key role in supporting the delivery of high quality business solutions. You’ll be performing data extraction, storage, manipulation, processing, and analysis, alongside developing and performing standard queries to ensure data quality and identify data inconsistencies and missing data. You’ll identify, assess, mitigate, monitor, and report on fraud risk so we can manage any threat of fraud, and you’ll monitor and evaluate the performance of our fraud prevention processes and strategies.
Day-to-day, you’ll also be:
- Applying statistical modelling and evaluation techniques to the development of fraud risk prevention strategies
- Collecting, profiling, and mapping appropriate data to use in new or existing solutions as well as for ongoing data activities
- Identifying and documenting data migration paths and processes, standardising data naming, data definitions and modelling
- Interpreting customer needs and turning them into functional or data requirements and process models
- Building and maintaining collaborative partnerships with key business stakeholders
The skills you'll need
We’re looking for someone with experience of using data analysis tools and delivering data analysis in a technology or IT function. You'll hold a degree level qualification in a numeric discipline like Mathematics, Statistics or Operational Research and you'll have strong database management skills, familiarity with programming languages, and proven experience in interpreting MI.
We’ll also look for:
- An in-depth understanding of the interrelationships of data and multiple data domains
- A background in delivering research based on qualitative and quantitative data across a range of subjects
- Excellent communication and interpersonal skills
If you need any adjustments to support your application, such as information in alternative formats or special requirements to access our buildings, or if you’re eligible under the Disability Confident Scheme please contact us and we’ll do everything we can to help.