Head of Data & Analytics

Head Resourcing Ltd
2 days ago

Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Working hours
Regular working hours
Languages
English
Experience level
Senior
Compensation
£ 120K

Job location

Tech stack

Business Analytics Applications
Data analysis
Data Architecture
Data Governance
Data Systems
Cloud Services
Data Strategy
Data Management

Job description

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., * 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.

Requirements

  • 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.

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