HSW Data Analytics and Reporting Manager

Role Description

This role is to support integration of AI, automation, and technology into HSW processes, enhancing safety, quality and efficiency. This role deploys innovative tools and manages HSW data strategy. It involves remote work, process-driven guidance to external/internal stakeholders, maintaining high standards of administrative accuracy and data management across all HSW systems.

As a Data Analyst, you will execute the integration of AI and emerging technologies, strengthen data foundations, and deliver analytics that drive smarter, safer, and more efficient operations. Support in building key digital capabilities, and ensure AI is deployed ethically, responsibly, and at scale. The role reports directly to the HSW and dotted reports to the L&E Manager, Regional HSW Operations Directors.

Role Accountabilities

• Identify opportunities for automation and technological enhancements to improve safety and wellbeing outcomes.
• Stay updated on emerging technologies and AI advancements relevant to HSW and assess their applicability.
• Support in deployment, operation, and sustainment of Cority.
• Enhancement of HSW automated tools and technologies aimed at preventing HSW incidents and improving HSW maturity.
• Aware of external client’s key requirements and meet measures of success set.
• Support HSW data strategy and governance, including data collection, analysis, and centralized reporting practices.
• Design and deliver interactive Power BI dashboards and reports to support compliance and operational decision-making.
• Prepare monthly, quarterly, half-yearly, and annual reporting for business updates.
• Adept at translating business requirements into scalable, governed data solutions with a strong focus on data accuracy, automation, and operational efficiency.
• Improve HSW intelligence using advanced data analytics to identify trends, risks, and opportunities for improvement.
• Create actionable insights through reporting, visualization, and performance metrics to drive decision-making and risk management.

Key Shared Accountabilities

• Partner with business leaders to ensure HSW technology solutions meet client and operational needs.
• Support compliance with regulatory requirements and HSW standards through technology-driven solutions.
• Consistently check and verify quality requirements are achieved to deliver high quality work with added value.
• Collaborate with IT, Operations, and HSW teams to align technology and data initiatives with organizational goals.
• Check work, add value to tasks as appropriate, and actively seek feedback for work.

Decision Rights

• Owns: HSW data strategy and governance framework.
• Owns: HSW automation initiatives and technological enhancements.
• Owns: Approval of reporting standards, data visualization methods, and analytics tools.
• Owns: the AI/data roadmap, tool selection (within governance), and product release decisions.
• Co-decide on model approvals, risk assessments, and data access with relevant functions.

Most Important Performance Metrics

• Technology enhancement and adoption: Successful development, deployment, and sustained usage of HSW relevant software.
• Automation Impact: Efficiency gains and improved outcomes from automated HSW processes.
• High adoption and impact of digital tools and AI solutions in the overall HSW operations.
• Improved decision-making, operational efficiency, and risk reduction.
• Strong data quality, compliance, and responsible AI practices.
• Delivery of measurable business outcomes.

Qualifications

• Minimum 5 years of experience integrating technology, AI, or automation into HSW, EHS, or related processes.
• Bachelor’s degree in Computers, Data Science Engineering or related fields, with experience in HSW, EHS, Risk Management, or a related field desirable.
• Strong knowledge of AI tools, data analytics platforms, and automation technologies (e.g., Cority, Sphera).
• Able to identify and implement emerging technologies to solve work challenges.
• Experienced in cloud data platforms, BI tools, and AI technologies, Data governance, privacy, and responsible AI preferred.
• Product mindset, ability to work across technical and business teams, and strong communication, problem-solving skills.

Key Competencies

• Proficiency in collecting, analysing, and visualizing data to create actionable insights across a global landscape.
• Proven ability to work cross-functionally with IT, Operations, and HSW teams.
• Comfortable with ambiguity and the dynamic, complex nature of working.
• Resilient, a great problem solver, tenacious with follow-through, and good at working collaboratively with all styles of leaders.