HR Business Analyst

National Audit Office – HR Business Analyst – London – London c £57,000 plus civil service employer pension contribution of 28%. A higher base salary may be available for exceptional applicants. A minimum of 2 days a week based in the office is expected.

We are seeking a skilled HR Business Analyst to play a pivotal role in shaping the future of the People team at the National Audit Office. This position is central to delivering our 2025‑2030 strategy, which focuses on advancing digital and data maturity across the organisation. As an HR Business Analyst, you will act as a bridge between HR, L&D, HR Technology, and People Business Partners, driving process improvements, enabling data‑driven decision‑making, and improving our People processes and People Analytics.

You will work closely with members of the People Leadership team, leveraging analytics and process design to create efficiencies, improve employee experience, and provide actionable insights that support strategic workforce planning.

• Map, document, and analyse current‑state People business processes across the employee lifecycle, including talent acquisition, onboarding, performance management, learning and development, and employee experience.
• Identify process inefficiencies, bottlenecks, and gaps through data analysis and stakeholder consultation.
• Design and recommend future‑state processes that align with business goals and enhance operational efficiency.
• Develop process documentation, workflow diagrams, and standard operating procedures.
• Collaborate with cross‑functional teams including IT, Finance, and business leaders to ensure alignment and integration of HR processes with broader organisational systems.
• Consult with HR business partners and stakeholders to understand business needs and translate them into clear, actionable requirements.
• Partner with HR Technology team to evaluate and implement solutions that address business needs.

• Perform People analytics using Power BI, Excel, and HRIS to generate insights on workforce trends, employee engagement, turnover, retention, diversity, productivity, and other key HR and L&D metrics.
• Design, build, and maintain interactive dashboards and visualisations in Power BI that enable self‑service analytics for HR, L&D and business leaders.
• Extract, manipulate, and analyse data from the People systems to support reporting and analytics needs.
• Create regular and ad‑hoc reports that provide tactical reporting, workforce planning insights, and strategic recommendations.
• Translate complex data findings into clear, compelling narratives that drive strategic decision‑making.
• Present findings and recommendations to People Team leadership and HR business partners, linking insights to specific business problems and articulating implications for action.
• Identify opportunities to leverage system functionality to improve data collection, process automation, and user experience.
• Foster a data‑driven culture by educating and empowering the People team and business leaders to leverage data in their decision‑making.

• Relevant experience in HR analytics, business analysis, or related analytical role.
• Demonstrated experience with business process mapping, analysis, and improvement.
• Proven track record of performing data analysis and creating impactful visualisations and reports.
• Experience working with HRIS platforms.
• Power BI: proficiency in building dashboards, data modelling and creating interactive visualisations.
• Microsoft Excel: expert‑level skills including advanced formulas, pivot tables, data analysis, and statistical functions.
• Analytical mindset with ability to identify patterns, draw insights, and make data‑driven recommendations.
• Critical thinking skills to diagnose business problems and develop creative solutions.
• Ability to connect people data to business outcomes and strategic objectives.
• Ability to translate complex data into clear, compelling narratives.
• Demonstrated presentation skills with ability to tailor messages for different audiences.
• Familiarity with data privacy regulations and ethical use of People data.