Senior People Data Analyst
Howden Group Holdings
In this role you lead Howden’s People Analytics data delivery, partnering with HR analytics to translate requirements into robust data products and insights. You will steer a team of data specialists, ensuring quality, governance and scalable outputs for senior stakeholders. The role blends strategic direction with hands-on analysis across HR, Finance and Technology stakeholders during a period of organizational change. You will shape the analytics function, driving accurate, trusted insights that support workforce decisions and diversity initiatives.
Pay / Benefits- flexible hours
- hybrid working
- reasonable adjustments
- diversity and inclusion values
- career progression opportunities
- Lead, manage and develop the People Analytics team to build capability and deliver high-quality output
- Oversee core analytical products (e.g., People Dashboard, DE&I Dashboard) and QA outputs before distribution
- Translate stakeholder requirements into scalable technical solutions and maintain data governance standards
- Collaborate with HR-side stakeholders and data business partners to scope and refine requirements
- Define technical standards, tooling, and governance; own data integrity, confidentiality and security
- Engage with senior HR and business stakeholders, presenting outputs with clarity
- Balance hands-on analytics with leadership duties and contribute to complex analyses (attrition, workforce trends, DE&I)
- Work with HRIS, Finance and IT to ensure data collaboration across source systems
- Proven experience in data analytics or BI with mentoring/management of a technical team
- Strong technical skills (SQL, Python, Power BI, Excel or similar)
- Experience in project-based/consultancy-style delivery
- Excellent communication to both technical and non-technical stakeholders
- High attention to detail and commitment to data governance
- Comfortable balancing hands-on work with leadership responsibilities
- excellent communication
- stakeholder engagement
- attention to detail
- SQL
- Python
- Power BI
Reference: WJ-747_31197282