Data Analyst
| Posting date: | 29 May 2025 |
|---|---|
| Salary: | £33,590 to £40,170 per year |
| Additional salary information: | National: £33,590 - £36,000 London: £37,480 - £40,170 For details of our pay on appointment policy, please see below under the heading ‘Salary’ |
| Hours: | Full time |
| Closing date: | 11 June 2025 |
| Location: | CW1 6GJ |
| Company: | Government Recruitment Service |
| Job type: | Permanent |
| Job reference: | 408080/10 |
Summary
Can you turn complex datasets into game-changing decisions?
Want to work at the heart of a multi-million-pound initiative with real impact?
If so, this could be the perfect job for you.
Data analysis is critical role that supports the transformation of Corporate services and operational performance as Defra migrates to Oracle Enterprise Resource Planning (ERP) and part of the multi-million pound ‘Synergy’ initiative to radically improve efficiency and effectiveness of delivery of Government services across the four largest Government Departments.
The Synergy programme consists of Home Office, Department for Work and Pensions, Ministry of Justice and Defra together with associated Arms-Length Bodies and Non-departmental Public Bodies.
The Defra Corporate Services Data & Analytics division provide a leading role in in the strategic design and operation of the target operating model for the Synergy programme. Through the application of data science techniques and processes, we work as part of a community of practice across government organisations and third-party service providers to develop a data led approach to decision making and adoption of best practices.
Data Analysts operate within the strategic enterprise data function to identify actionable insights and drive informed decision making from both departments and the Synergy ERP programme. The Data analysts will interact with multiple Stakeholders to help standardise our data to achieve interoperability and convergence, enabling strategic cross government data initiatives. They will assist in all aspect of Data Migration to the new ERP system, ensuring that the departments have their data in a cleansed state, suitable for the ERP solution.
Key Responsibilities include but not limited to:
- Work with team to scope and design dashboards in PowerBI.
- Apply tools and techniques for data analysis and data visualisation (including the use of business information tools).
- Identify, collect and migrate data to and from a range of systems.
- Manage, clean, abstract and aggregate data alongside a range of analytical studies on that data.
- Manipulate and link different data sets.
- Apply structured approaches and methodologies to identify, investigate, analyse and communicate complex business problems and opportunities, within a defined project.
- Analyse business goals, objectives, functions and processes, using relevant information and data to support the definition of requirements.
- Work under limited supervision to co-ordinate and review the prioritisation of requirements.
- Build and reach consensus with stakeholders across business units and different Government Departments and Agencies
- Present clear findings that colleagues can understand and use.
- Communicate effectively with technical and non-technical stakeholders. Manage differing stakeholder perspectives.
- Be an advocate for the team externally.
- Follow organisational data governance, including policies on data access, sharing, dissemination and protection.
- Participate in or deliver data management across services or products.
- Identify appropriate ways to collect, collate and prepare data.
- Present, communicate and disseminate data appropriately and with influence.
- Apply your knowledge and experience of project management methodologies, including tools and techniques.
- Manage active and reactive communication.
- Ensure data for analysis meets data quality standards and is interoperable with other data sets, enabling reuse.
- Bring data together from different sources.
- Ensure that appropriate actions are taken to resolve problems as they occur.
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