HSE - Data Analyst

About the Opportunity: We are currently hiring on behalf of a prestigious Fortune 500 client, offering an exciting opportunity to join a leading organization known for innovation, excellence, and professional growth. This role is ideal for candidates seeking to work in a dynamic, high-performing environment and make a real impact. Role & responsibilities A data analyst collects, processes, and performs analyses on a variety of datasets. Their key responsibilities include interpreting complex data sets to identify trends and patterns, using analytical tools and methods to generate actionable insights, and creating visualizations and reports to communicate those insights and recommendations to support decision-making. Data analysts collaborate closely with business domain stakeholders to understand their data analysis needs, ensure data accuracy, write and recommend data-driven solutions and solve value impacting business problems. What you will deliver Have an understanding of applying analytics in one or more key areas within the health, safety and environment domain e.g. causal analysis, predictive analytics etc. Provide actionable, data-driven insights by combining deep statistical skills, data manipulation capabilities and business insight. Proactively identify impactful opportunities and complete data analysis. Clean, pre-process and analyze both structured and unstructured data Develop data visualizations to analyze and interrogate broad datasets (e.g. with tools such as Microsoft PowerBI, potfire or similar). Preferred candidate profile Bachelors degree or equivalent experience in a quantitative field, preferably statistics. Experience working within safety, health, environmental or risk management & reporting domains including root cause analysis, causal analysis and predictive analytics. Hands-on experience carrying out data analytics, data mining and product analytics in complex, fast-paced environments. Applied knowledge of data analytics and data pipelining tools and approaches across all data lifecycle stages. Deep understanding of a few and a high-level understanding of several commonly available statistics approaches. Ability to use SQL to write queries. Scripting experience in R or python. Ability to write and maintain data pipelines. Customer-centric and pragmatic mindset. Focus on value delivery and swift execution, while maintaining attention to detail. Excellent communication and interpersonal skills, with the ability to effectively communicate ideas, expectations, and feedback to team members, stakeholders, and customers. Foster collaboration and teamwork Desired Advanced analytics degree NEBOSH qualification Experience with big data technologies (e.g. Hadoop, Hive, and Spark) is a plus.