➡️ Head of Data & Analytics
🏢 Three days per week in Edinburgh
Head Resourcing's Edinburgh-based client are looking to appoint a Head of Data & Analytics.
This is a senior leadership position responsible for shaping and executing the organisation's data strategy. This role oversees data governance, analytics, supporting business intelligence and data science functions, ensuring that data-driven insights inform key decisions and drive data improvement for organisational success.
The Head of Data & Analytics will champion a culture of data excellence, foster innovation, and ensure compliance with data-regulations and best practices.
Key responsibilities:
- Develop and implement a comprehensive data strategy.
- Embed robust data governance frameworks to ensure data quality, integrity, and security.
- Oversee the design and delivery of analytics solutions that drive actionable insights and support business growth.
- Promote data literacy across the organisation, enabling teams to make informed, evidence-based decisions.
- Collaborate with stakeholders across business units to understand data needs and deliver tailored analytics solutions.
- Ensure compliance with data protection laws (e.g., GDPR) and best practice standards.
- Evaluate and implement data and analytics technologies, tools, and platforms.
- Working closely with the IT teams and change management to ensure that data is a key actionable focus area for the business to promote change.
- Stay abreast of industry trends, emerging technologies, and regulatory developments.
Required skills, knowledge & experience:
- Proven experience in a senior data or analytics leadership role.
- Strong background in data management, governance, analytics, and business intelligence.
- Demonstrable experience of leading and developing high-performing teams.
- Expertise in data architecture, data science, and advanced analytics techniques.
- Excellent stakeholder management and communication skills.
- Strategic thinker with the ability to translate business needs into data solutions.
- In-depth knowledge of data protection regulations and ethical use of data.
- Experience with modern data platforms, cloud solutions, and analytics tools.
