Data Analyst

at  Vattenfall

OVER ONS

Vattenfall is one of the largest energy companies in Europe. We make electricity and heat and supply energy to millions of customers. We do this in Sweden, Germany, the United Kingdom, France, Denmark, Finland and the Netherlands.
With around 21,000 employees, we are enabling a future in which we are less dependent on the use of fossil fuels for our energy. We are at the forefront of the transition to a sustainable energy system. To achieve this ambitious goal, we are looking for talented individuals who, in addition to their passion for their own role, also have a strong team spirit and want to contribute to supporting a meaningful company mission

• Evaluate internal systems for efficiency, problems, and inaccuracies, and develop and maintain protocols for handling, processing, and cleaning data.
• Collecting and analysing data related to the IMS using various tools and techniques.
• Developing and maintaining dashboards and reports to monitor IMS performance.
• Identifying trends and patterns in IMS data and recommending improvements.
• Collaborating with stakeholders in QHSSE to improve IMS performance and work directly with managers and users to gather requirements, provide status updates, and build relationships.
• Conducting research and analysis to support the development of new IMS initiatives and implement automations to decrease the number of steps required for an outcome.
• Participating in the development and implementation of IMS policies, procedures, and training programs in relation to data handling and analytics.
• Providing guidance and support to IMS stakeholders on data analysis and interpretation.
• Work closely with project managers to understand and maintain focus on their analytics needs, including critical metrics and KPIs, and deliver actionable insights to relevant decision-makers.
• Proactively analyse data to answer key questions for stakeholders or IMS team members, focussing on what drives business performance or presents risk.
• Investigate and communicate which areas of data handling and analytics need improvements in efficiency and productivity.
• Create and maintain rich interactive visualisations through data interpretation and analysis, with reporting components from multiple data sources.
• Define and implement data acquisition and integration logic, selecting an appropriate combination of methods and tools within the defined technology stack to ensure optimal scalability and performance of the solution.
• Develop and maintain databases by acquiring data from primary and secondary sources.
• Stay up-to-date with emerging trends, technologies, and best practices in data handling and analytics.