Job Description

We are looking for someone to join us on a 48-52 week placement year at our Grain site. The role holder will focus on supporting the Performance & Digital Solutions Lead, focusing on the organization's digital and data-driven initiatives by assisting in the analysis, reporting, visualization of asset data, and development of new analytical tools. This role enables timely, accurate insights that inform decision-making across site functions.
We are looking for someone to join us on a 48-52 week placement year at our Grain site. The role holder will focus on supporting the Performance & Digital Solutions Lead, focusing on the organization's digital and data-driven initiatives by assisting in the analysis, reporting, visualization of asset data, and development of new analytical tools. This role enables timely, accurate insights that inform decision-making across site functions.

Your responsibilities

-------------------------


Assist in gathering, cleaning, and analysing asset data using tools such as Power BI, AVEVA PI, SAP, SEEQ and Snowflake, with guidance from the team. Support the development and maintenance of reports and dashboards to track key performance indicators (KPIs) for operational and central functions. Help design and test simple data tools or scripts to automate routine reporting or data transformation tasks. Contribute to Uniper's COODE (Chief Operating Officer Digital Evolution) initiative by providing input, feedback, and support to local digital engagement activities, in line with our digital strategy. Participate in data validation and 4-eyes review practices, helping to ensure accuracy and consistency of reported information. Work with internal stakeholders to understand their data needs and assist in delivering practical, well-documented solutions. Support knowledge sharing by maintaining documentation of data sources, analysis steps, and tool usage. Assist in ongoing digitalisation and process improvement projects as part of the wider team.

Your profile

----------------


Studying towards a degree in Data Science, Computer Science, Engineering or a related analytical field. Basic proficiency in data analysis tools such as Power BI, Python, Excel, or similar; awareness of platforms like SAP, PI, or Snowflake is advantageous. Strong analytical and problem-solving skills, with an ability to work with structured and unstructured data. Good written and verbal communication skills, with the ability to present data clearly to technical and non-technical audiences. Demonstrated interest in digitalisation, data-driven decision-making, or continuous improvement initiatives. Ability to work independently on defined tasks and collaborate effectively as part of a small team. Comfortable working with remote colleagues and using digital collaboration tools such as Microsoft Teams. * Curious, proactive, and open to learning new tools, technologies, and ways of working.