Data Analyst at Department for Science Innovation Technology
Birmingham, England, United Kingdom -
Full Time


Start Date

Immediate

Expiry Date

07 Nov, 25

Salary

44480.0

Posted On

08 Aug, 25

Experience

5 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

No

Skills

Norway

Industry

Civil Engineering

Description

JOB DESCRIPTION

The Matrix Programme is a transformation initiative involving 9 Departments (listed at end). It is a unique cross-government collaboration that will unlock simpler, better, and more joined up working by bringing together the systems, processes, and ways of working for key government functions such as HR, Finance or Procurement, commonly known as Shared Services.
The Programme is part of the Shared Services Team, a fantastic team passionate about improving the existing shared services experience for DSIT and its partners whilst working to deliver the strategic objectives of the new Government Shared Services Strategy!
We will deliver the Government’s three overarching objectives for shared services:
1. Better experience for all users - intuitive systems that are easy to use and mobile-enabled.
2. Efficiency and value for money - better systems and services which support productivity and seek to reduce costs.
3. Standardised processes and data - support interoperability, making it easier to understand and compare corporate data.
Departments forming the Matrix Programme: Cabinet Office (CO), Department for Science Innovation and Technology (DSIT), Department for Culture Media and Sport (DCMS), Department for Business Trade (DBT), Department of Energy Security and Net Zero (DESNZ), Department for Education (DfE), Department for Health and Social Care (DHSC), Attorney’s General Office (AGO) and His Majesty’s Treasury (HMT).

NATIONALITY REQUIREMENTS

This job is broadly open to the following groups:

  • UK nationals
  • nationals of the Republic of Ireland
  • nationals of Commonwealth countries who have the right to work in the UK
  • nationals of the EU, Switzerland, Norway, Iceland or Liechtenstein and family members of those nationalities with settled or pre-settled status under the European Union Settlement Scheme (EUSS)
  • nationals of the EU, Switzerland, Norway, Iceland or Liechtenstein and family members of those nationalities who have made a valid application for settled or pre-settled status under the European Union Settlement Scheme (EUSS)
  • individuals with limited leave to remain or indefinite leave to remain who were eligible to apply for EUSS on or before 31 December 2020
  • Turkish nationals, and certain family members of Turkish nationals, who have accrued the right to work in the Civil Service

Further information on nationality requirements

Responsibilities

KEY RESPONSIBILITIES INCLUDE BUT NOT LIMITED TO:

Work with team to scope and design dashboards 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 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.
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 the most appropriate actions are taken to resolve problems as they occur.

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