[Hiring] Data & Insight Lead @Global Ecology & Environmental Limited

Role Description

The Data & Insight Lead is responsible for transforming data into trusted information, insight and foresight that supports decision-making across the Group. The role owns business intelligence, reporting, data governance and analytics capabilities, ensuring leaders have access to accurate, consistent and actionable information. It also helps the organisation use AI-enabled analytics and insight tools to improve forecasting, efficiency, operational performance and decision-making.

Success is measured through data quality, reporting adoption, decision support, reduced manual effort and the responsible use of data and AI-generated insight to deliver business value.

Core Principle: Turn trusted data into clear insight and foresight, helping leaders make better decisions with confidence.

Reporting line: Technology Director

All flexible working options considered.

Key Responsibilities

• Develop and maintain trusted reporting, dashboards, semantic models and data products.
• Lead data governance, quality, definitions, standards and consistency across the Group.
• Create management information across operational, commercial and financial data.
• Support leadership with visibility, forecasting, planning and evidence-based decision support.
• Identify opportunities to use AI and advanced analytics to generate deeper insight and improve decisions.
• Ensure AI-generated analysis is grounded in trusted data, appropriately validated and clearly explained.
• Work with business leaders to define KPIs, measures and success metrics.
• Champion self-service analytics, automation and continuous improvement in data-driven decision-making.

Key Accountabilities

• Group reporting, analytics and business intelligence capability.
• Data quality, governance, definitions and stewardship.
• Management information and performance reporting.
• Forecasting, trend analysis and decision support.
• Adoption of trusted reporting and self-service analytics tools.
• Responsible use of AI-enabled analytics and insight capabilities.
• Development of a data-driven culture across the Group.

Success Measures

• Improved quality, consistency and trust in business data.
• Increased adoption of dashboards and self-service reporting.
• Faster access to management information and actionable insight.
• Greater visibility of operational and financial performance.
• Improved forecasting and decision-making capability.
• Demonstrable business value from AI-enabled analytics and insight.
• Reduced manual reporting effort through automation and standardisation.

Qualifications

• Experience in business intelligence, analytics, reporting or data management roles.
• Strong Power BI, data modelling and reporting experience.
• Experience working with operational, commercial and financial datasets.
• Strong analytical, problem-solving and stakeholder engagement skills.
• Ability to translate complex data into meaningful business insight and clear recommendations.
• Understanding of data governance, quality, definitions and stewardship principles.
• Practical understanding of AI-assisted analytics, including validation, explainability and human oversight.

Skills & Experience

• Desirable: Experience with Microsoft Fabric, Azure data services or modern cloud data platforms.
• Experience using Copilot, natural-language querying, predictive analytics or other AI-assisted insight tools.
• Knowledge of forecasting, statistical analysis and performance measurement.
• Awareness of data governance, information protection, privacy and responsible use.
• Experience supporting transformation and data-driven decision-making in a multi-business or professional services organisation.

Key Behaviours

• Insight-led, naturally curious and focused on business outcomes.
• Decision-focused rather than report-focused.
• Rigorous about accuracy, data integrity and responsible AI use.
• Comfortable challenging assumptions with evidence.
• Pragmatic, commercially aware and able to communicate clearly.
• Passionate about using data and AI to create measurable business value.