Data Analytics Manager – Infrastructure Sustainability

Stakeholder Engagement & Project Management

What We're Looking For

Key requirements

• Bachelor's degree in Engineering, Data Science, Environmental Science, Energy Management, Statistics, or a related field.
• 5+ years' experience in sustainability reporting, energy management, environmental data management, or a similar analytical role.
• Strong skills in Excel, Power BI, data analysis, and data visualisation.
• Experience working with sustainability KPIs, carbon accounting, energy efficiency metrics, and ESG reporting frameworks.
• Ability to analyse large datasets, identify trends and anomalies, and drive continuous improvement.
• Strong communication and stakeholder management skills, with the ability to engage technical and non-technical audiences.
• Experience within data centres or other critical infrastructure environments preferred.
• Experience with data assurance processes and advanced analytics techniques is advantageous.
• Fluent English required; additional languages are a plus.

Responsibilities

• Data Quality, Collection & Analysis • Coordinate collection of environmental, energy, water, and related sustainability data from sub-regional and global teams. • Validate, verify, and ensure completeness, accuracy, and consistency of all submitted data. • Identify anomalies, inconsistencies, methodological weaknesses, or non-compliance with internal policies. Investigate discrepancies directly with data owners and ensure timely correction and prevention of recurrence. • Provide analytical insights on sustainability KPIs, including energy intensity, carbon footprint, water use, waste reduction, and other material metrics. • Support development of advanced data analytics toolsets including multi-factor regression analysis. Operational Sustainability Support • Translate corporate sustainability and energy objectives into practical operational guidance for site teams. • Support implementation of energy-efficiency programs, water and emissions reduction efforts. • Track and communicate progress against regional and global sustainability targets, providing operational input to regulatory filings where required. • Share best practices and lessons learned across company to drive consistency and performance improvement, contribute to awareness sessions and workshops to strengthen the sustainability culture within the company. • Communicate global sustainability KPI measurement requirements in consideration of local infrastructure and regulatory differences. Regulatory Monitoring & Knowledge Management • Monitor evolving sustainability reporting standards, regulations, and industry best practices including contributing to internal global policy development process in alignment with international standards. • Assess regulatory impacts and recommend updates to reporting strategies and processes. • Provide clear, practical explanations of complex r, new or changing regulatory and data requirements to technical and non-technical stakeholders. Stakeholder Engagement & Project Management • Act as a key liaison between Sustainability and Regional Operations, Engineering, Compliance, and other business functions, partnering with internal stakeholders to streamline reporting processes and strengthen internal controls. • Manage multiple concurrent deadlines across jurisdictions and time zones, ensuring accurate and assured deliverables including preparing concise reports and presentations for senior leadership summarizing performance, risks, and improvement actions.

Qualifications

• Bachelor’s degree in energy management, engineering, environmental science, sustainability, or a related field.
• 5+ years of experience in sustainability implementation, energy reporting, environmental data management, or related analytical roles.
• Experience in data centers, industrial, utilities, or critical infrastructure environments.
• Experience managing third-party data quality assurance processes preferred.
• Experience working with major sustainability reporting frameworks and regulatory disclosures.
• Experience handling large, complex datasets, including imperfect or incomplete data.
• Fluent in English; additional languages are beneficial.