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Data & Business Intelligence Analyst (Sustainability)

Kingspan Group • Ireland • Added on Aug 14, 2026
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This role acts as the architectural bridge between raw environmental data and executive decision-making. You will lead the automation of sustainability reporting workflows, transforming complex datasets from across the global supply chain into clear, actionable intelligence. By building robust pipelines and advanced Power BI dashboards, you ensure that the company’s environmental performance is not just recorded but actively used to steer the business toward its ambitious targets.

At its core, this position powers the Planet Passionate programme, translating abstract carbon, water, and circularity goals into measurable progress. In an era of increasing scrutiny, you will provide the technical backbone for CSRD and CDP disclosures, ensuring that every claim about a net-zero future is backed by audit-ready, high-integrity data. This is about moving beyond manual spreadsheets to leverage AI and predictive modelling for real-world planetary impact.

This suits someone who is a technical data specialist with a deep-seated interest in environmental science, possessing the ability to explain complex SQL or DAX logic to non-technical stakeholders.

Job FAQs

What are the main missions and responsibilities of this role?

The primary mission involves establishing a single source of truth for all sustainability-related data across the global group. You will lead the connection and validation of environmental data from diverse operations, ensuring that information regarding carbon emissions, energy usage, and circular economy initiatives is complete and audit-ready. Day-to-day responsibilities include developing automated workflows and Power BI dashboards that translate raw figures into decision-ready insights. You will also be tasked with implementing the Sustainability AI roadmap, creating predictive models and practical tools that enhance the granularity of environmental monitoring.

Key learning opportunities for this job

You will gain significant exposure to the CSRD framework and other critical global reporting standards, positioning yourself at the forefront of regulatory compliance. The role offers the chance to experiment with cutting-edge technologies like Microsoft Fabric and Copilot Studio within a real-world sustainability context. Furthermore, you will learn how to integrate ESG metrics into a large-scale industrial business model, gaining a deep understanding of how supply chain decarbonization and circular economy principles are implemented at a multinational level.

How does the ideal candidate look like (experience, skills)?

The ideal profile combines a strong technical foundation in data science or statistics with 3 to 5 years of experience in a business intelligence environment. Proficiency in SQL, DAX, and Power BI is essential, as is the ability to handle large, often messy datasets with a high degree of precision. You should possess the analytical mindset to identify trends and anomalies in environmental data, alongside the communication skills required to facilitate workshops and translate technical findings for divisional leaders.

Advice to stand out and make a successful application

To stand out, demonstrate your ability to go beyond simple reporting and show how you have used data to drive business value or process improvements in the past. Highlight any experience you have with data governance or building 'audit-ready' systems, as reliability is a major focus for Kingspan. If you have experience with Python or Machine Learning, make sure to showcase specific use cases, as the company is actively looking to integrate AI into their sustainability workflows to reduce manual effort.

What aspects of the company's sustainability is this role likely to focus on?

This role is central to the Planet Passionate programme, focusing heavily on carbon footprinting, energy efficiency, and water stewardship. You will be the technical lead ensuring that the data supporting these pillars is accurate and transparent. You will also likely touch upon circularity metrics, tracking how materials are reused or recycled across the building envelope solutions, which is a key component of the company's long-term environmental strategy.

What are the main challenges someone in this role might face?

One of the primary hurdles will be data fragmentation across different global divisions and supply chain partners. Ensuring consistency and quality when dealing with varying levels of digital maturity in different regions will require persistence and strong stakeholder management. Additionally, keeping pace with the evolving regulatory landscape of ESG reporting means you must be adaptable, ensuring that data architectures are flexible enough to accommodate new requirements without requiring total rebuilds.

How could a typical day look like for someone in this position?

A typical day might begin with reviewing automated data pipelines to ensure successful integration of new operational figures. You might then spend time in Power BI, refining a dashboard that tracks progress against renewable energy targets for a specific division. Afternoons could involve meetings with IT and Digital teams to discuss AI pilot projects or attending a cross-functional workshop to define new data governance standards for supply chain emissions tracking.

What are the opportunities for professional growth and development in this role?

There is a clear path toward becoming a lead sustainability architect or a strategic ESG manager within the group. As the company scales its digital and marketing functions, high-performing analysts can expect to take on more global leadership responsibilities. Exposure to executive-level reporting and high-visibility strategic programs provides a platform for rapid professional advancement, particularly as ESG data becomes increasingly central to corporate finance and strategy.

The main stakeholders you might be interacting with

You will interact frequently with the Group IT and Digital teams to ensure cybersecurity and robust data architecture. On the business side, you will collaborate with divisional sustainability leads and marketing managers to translate data into external disclosures. External auditors and consultants will also be key stakeholders, especially during reporting cycles, where you will need to demonstrate the traceability and integrity of the datasets you manage.

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