Data Analyst
| Posting date: | 22 April 2025 |
|---|---|
| Salary: | £42,614 to £50,296 per year |
| Hours: | Full time |
| Closing date: | 04 May 2025 |
| Location: | M2 3LR |
| Company: | Government Recruitment Service |
| Job type: | Permanent |
| Job reference: | 400009/2 |
Summary
Please note this role requires you to pass Security Check clearance. For further information, please see 'Selection process details'.
DWP is the UK's largest government department. We help people into work and make payments worth over £195bn a year to support some of the most vulnerable people in our society.
This role is fundamental to helping tens of thousands of colleagues across the organisation collaborate and communicate with each other more efficiently and effectively. You’ll be improving their experience of the digital services they use every day. And achieving this using fresh ideas and cutting-edge technology.
By helping people in the organisation work better together, you’ll have an impact on how we achieve DWP’s aim to improve people’s day-to-day lives and help them build financial resilience and a more secure and prosperous future.
If you’re curious about user behaviour and enjoy finding meaning in complexity, join DWP Digital as a data analyst, and help us get this right.
DWP teams need information about how our digital services are being used and whether they meet our users’ expectations and needs. Gathering and analysing this insight helps us make better, more-informed choices.
Your mission will be to create innovative analytical solutions to uncover previously unidentified or hard to isolate insights. To do this, you’ll need to understand the data problem the service needs to solve or question that needs to be answered and implement data collection and analysis solutions.
As a data analyst, you will:
- Provide expert advice and make sure you deliver high quality analysis, refining and challenging requests to ensure the most useful analysis is produced.
- Work autonomously, embedded within a multi-disciplinary product team but also being part of a supportive data and analytics team.
- Make sure the product team has access to the best evidence possible and are using it in designing and optimising a cross-organisation collaboration service.
- Influence strategy and business outcomes by making sure evidence is reliable, trustworthy and robust.
- Be skilled in digital performance analysis and configuring and deploying digital log analytics solutions, particularly using Azure and Power BI.
- Produce data models and understand where to use different types of models.
It would be beneficial to have knowledge of pulling data using APIs when starting the role but not essential.
Proud member of the Disability Confident employer scheme