Role Summary
The Senior People Analytics Analyst will lead the data side of the People Analytics function. Working in close partnership with the HR-side Analytics team – who act as business analysts – this role is responsible for translating people analytics requirements into robust, high-quality data products, tools and insight.
Operating in a consultancy-style model, this role will own that delivery end-to-end: leading and developing a team of data specialists, maintaining quality and governance standards, and ensuring outputs are accurate, scalable and fit for a senior stakeholder audience.
This is a hands-on leadership role suited to someone who is equally comfortable setting technical direction and rolling up their sleeves to work with complex datasets. It offers broad exposure to HR, Finance and Data/Technology stakeholders across the Howden Group, and the opportunity to shape a growing function during a period of significant organisational change.
The main roles and responsibilities are:
Managing, leading and developing the People Analytics team
Working on technical delivery and hands-on analysis
Engaging with HR-side stakeholders and data business partner to scope and refine requirements
Forming the technical strategy, tooling, data governance and roadmap
Key Responsibilities
Lead, manage and develop a team of data analysts/specialists within the People Analytics team
Set clear objectives, provide regular feedback and create development opportunities that build technical capability within the team
Foster a collaborative, high-quality delivery culture, with a strong focus on accuracy, efficiency and continuous improvement
Act as the senior technical authority within the team, providing guidance on approaches, methods and tools
Technical Delivery & Hands-On Analytics
Oversee and contribute to the development and maintenance of core analytical products, including the People Dashboard, DE&I Dashboard and more
Lead the team in working with large, complex and often inconsistent HR datasets
Review and QA team outputs before they reach HR-side colleagues or business stakeholders, ensuring a consistently high standard
Contribute directly to complex or high-priority pieces of analytical work, including ad-hoc deep-dives on topics such as attrition, workforce trends and DE&I
Translate stakeholder and HR-BA requirements into scalable, maintainable technical solutions
Stakeholder & HR-Side Partnership
Act as the primary point of contact between the data team and HR-side analytics colleagues, ensuring requirements are well understood before development begins
Participate in scoping and prioritisation conversations, pushing back where requirements are unclear or technically unfeasible and proposing alternatives
Communicate technical constraints, timelines and delivery risks clearly to non-technical counterparts
Engage directly with senior HR and business stakeholders where required, presenting data outputs and insight with clarity and confidence
Define and evolve the technical standards, tools and frameworks used by the data team
Own data governance on the analytics side: maintaining master data principles, ensuring data integrity, confidentiality and security across all datasets
Develop and document standard operating procedures for data handling, pipeline management and archiving
Identify opportunities to improve the team’s tooling, processes and ways of working in line with the broader HR and technology roadmap
Work closely with HRIS, Finance and IT teams to ensure strong data collaboration and quality across source systems
Skills & Experience
Proven experience in a data analytics, people analytics or business intelligence role, with prior experience managing or mentoring a technical team
Strong technical skills across relevant tools and languages (e.g. SQL, Python, Power BI, Excel or similar)
Experience operating in a project-based or consultancy-style delivery model, working from briefs or requirements defined by others
Excellent communication skills, with the ability to engage effectively with both technical colleagues and non-technical HR or business stakeholders
High attention to detail and a strong commitment to data quality and governance
Comfortable balancing hands-on delivery with team leadership responsibilities
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