Finance Data & Performance Analyst

About Unilabs

Headquartered in Geneva and part of the A.P. Moller Group, Unilabs is one of Europe’s leading medical diagnostics companies, offering a complete range of laboratory, pathology, genetics, and imaging services to patients across 14 countries. Unilabs invests heavily in technology, equipment, and people – using digital technologies in its state-of-the-art laboratories and imaging institutes – to improve the lives of close to 100 million people every year.

About the Role

To support Unilabs Switzerland Finance in evolving beyond reporting, we are looking for a Finance Data & Performance Analyst to join our Controlling team. This role combines financial reporting, data analytics and process improvement, helping our Controllers focus on value-added analysis, business partnering and finance transformation. The successful candidate will progressively take ownership of selected reporting and planning activities currently performed in Switzerland, while helping improve, standardize and automate them over time. We are looking for someone who enjoys building sustainable Finance and data solutions, not just fixing individual issues. Success in this role comes from creating scalable processes, trusted data and long-term efficiency gains for the Controlling team.

What you will do

Own and improve recurring reporting: - Prepare and maintain financial and operational reporting packages - Support monthly closing, forecasting and budgeting activities - Produce KPI dashboards and performance analyses - Perform variance analyses and investigate unexpected trends - Take ownership of selected recurring reporting activities currently performed by the Swiss Controlling team

Build sustainable data & automation solutions - Develop and enhance Power BI dashboards and reporting tools - Design and implement scalable reporting, automation and data-management solutions - Build standardized datasets, reporting models and analytical tools that can be maintained and used by the wider Finance team - Reduce manual work through simplification, standardization and automation - Promote harmonization of data definitions, reporting logic and performance metrics across Finance, HR and Operations - Ensure solutions are robust, documented and sustainable over time rather than dependent on manual workarounds or individual knowledge

Improve data quality and processes - Investigate data quality and reconciliation issues - Identify root causes of recurring problems and implement sustainable corrective actions - Support alignment between Finance, HR and