People Data Analyst

The Department for Business, Innovation, Science and Trade (BIST) helps businesses invest, innovate, export and grow across the UK. The People Data and Analytics team sits within the wider People and Place (HR) Directorate. It is responsible for the provision of people data and analytics. We do this through:

• Delivering people reports, analytics and data to aid decision making
• Providing transparency data on the organisation
• Assisting business areas and functions with data sets to help them understand their resource position

We work closely across functions and business units to help understand the workforce of DBT. We aim to:

• Increase visibility of people data across DBT
• Support business areas with data and workforce management information
• Continuously improve our self-service of data

The postholder (HEO) will primarily lead analysis and the publication for the Gender, Disability, and Ethnicity Pay Gaps, and produce statistical outputs and other HR reporting to support people-related decisions and DBT's inclusive, evidence-based goals. Reporting to the Senior People Data Analyst (SEO).

The People Data Analyst (HEO) role is based in the People and Place Directorate.

You will:

• Produce end-to-end statutory pay gap reports (gender, disability and ethnicity), including data sourcing and cleaning, analysis, hypothesis testing, visualisation and publication.

• Support a broad range of HR reporting and analytics using internal management information and administrative data. Likely projects include:

  • Automated data visualisations, including dashboards
  • Analysis to support Places for Growth policy
  • Recruitment, retention and performance management analysis
  • Pay and reward analysis
  • Support for strategic workforce planning
  • Support for diversity and inclusion analysis

• Identify and implement opportunities to improve reporting through standardisation and automation. Work with Finance and DDAT on longer-term improvements to people data reporting and systems.

• Prepare briefings for senior leaders, contribute to ministerial briefings, and respond to Freedom of Information requests and Parliamentary Questions.

• Engage stakeholders to ensure analysis meets their needs and identify opportunities to improve it through standardisation, automation and clearer guidance.

• Support cross-government reporting requirements (e.g. Annual Civil Service Employment Survey Return), ensuring timely and accurate delivery of central statistical returns.

Essential Criteria

The below criteria are essential and will be assessed at application stage;

Experience in Data Acquisition and Customer Needs

• Engage stakeholders to understand analytical needs and ensure outputs are user focused.

• Identify suitable data sources, including administrative datasets, and handle data ethically and securely in line with data protection law and statistical standards.

Experience in Data Analysis

• Extract, clean and transform data using R (Preferred), Excel, SQL, or Python, ensuring transparent and reproducible analysis.

• Use statistical techniques such as trend analysis, distributional analysis and testing to generate robust insights.

• Apply quality assurance to all outputs, including peer review and clear documentation of methods, assumptions and limitations.

• Develop and maintain automated analytical pipelines and dashboards using R Shiny or AWS QuickSight.

Experience in Presenting and Disseminating Data

• Produce written statistical publications and presentations.

• Tailor visualisations and communication to the audience, clearly explaining data strengths and limitations.

Desirable

The below criteria are desirable only. These will not be assessed throughout the recruitment process, but will be used in the event of tied scores between candidates.

• Experience of working in HR environment and people/workforce data in government departments.

• Experience in Reproducible Analytical Pipelines (RAP), ideally with an open source coding software, such as R or Python.

• Familiarity with version control software, such as Git.