Data Services and Analytics (DSA) is part of DDaT, leading the development of data products to integrate data from multiple sources and deliver insights for business intelligence, reporting, and data science. DSA aims to be a leading provider of insight services within UK Government and is currently expanding, with over 300 colleagues serving various functions within the Home Office.

In this role, you will identify and deliver new data sources, develop ETL processes, and collaborate with Data Acquisition, Analytics, and Infrastructure teams to implement the data strategy through designing and implementing technology systems.

We value diversity and foster an open, inclusive, and supportive environment to help you excel in your work.

The successful candidate will be based at one of the following regional offices: Ruskin Square – Croydon, Soapworks - Manchester, or Vulcan House - Sheffield. In accordance with Home Office hybrid working policies, you are expected to attend the office at least 60% of your working hours.

Lead Data Analysts should have a genuine passion for analytics, an innovative mindset, and a willingness to question current methods to improve processes and offer new perspectives.

As a Lead Data Analyst, you will explore and exploit complex data sets, analytical tools, and techniques to support various stakeholders across the Home Office. You will ensure innovative opportunities are thoroughly evaluated, considering options, impacts, risks, and solutions, to clearly define problems and fully leverage new data and technology.

You will build and manage a network of colleagues and contacts to achieve shared objectives.

You will be a thought leader within the Data Analysis community and oversee the development of junior staff.

What you will do

Your main responsibilities will include:

As a lead Data Analyst, you will demonstrate a passion for data and expertise in:

• Leading teams to create data analysis products that are aligned with business benefits and deliver significant impact.
• Expanding the possibilities of data analysis, including predictive analytics.
• Identifying patterns of behavior, emerging trends, and areas of innovation within government and industry.
• Supporting the Principal Data Analyst in workload and team management, and contributing to the strategy for Data Analysis.
• Identifying, collecting, and migrating complex data and business questions across various systems.
• Developing knowledge of cutting-edge techniques and sharing insights across the organization.
• Presenting data analysis findings to senior stakeholders and making informed recommendations.