FinOps Data Analyst
Kraków - based opportunity with hybrid work model (2 days/week in the office).
As a FinOps Data Analyst, you will be working for our client, a leading global financial institution, supporting projects related to IT cost management and financial transparency. You will be responsible for analyzing IT infrastructure costs, including data center, network, server, storage, and virtualization expenses, and providing clear insights for show-back and charge-back models. Your work will support decision-making across technology teams, ensuring accurate cost allocation and reporting. You will also create dashboards, visualizations, and presentations to communicate financial data effectively while collaborating with an international IT and finance team.
FinOps Data Analyst
Kraków - based opportunity with hybrid work model (2 days/week in the office).
As a FinOps Data Analyst, you will be working for our client, a leading global financial institution, supporting projects related to IT cost management and financial transparency. You will be responsible for analyzing IT infrastructure costs, including data center, network, server, storage, and virtualization expenses, and providing clear insights for show-back and charge-back models. Your work will support decision-making across technology teams, ensuring accurate cost allocation and reporting. You will also create dashboards, visualizations, and presentations to communicate financial data effectively while collaborating with an international IT and finance team.
,[Analyzing IT infrastructure cost allocations and financial data , Preparing charge-back and show-back reports for technology services , Creating dashboards and data visualizations using Power BI or similar tools , Building and maintaining financial models using MS Excel, including Pivot Tables and VLOOKUP , Presenting IT financial insights to stakeholders using MS PowerPoint , Ensuring data quality and accuracy across all reports , Prioritizing multiple tasks and meeting project deadlines , Collaborating with international IT and finance teams , Interpreting complex datasets and recommending next steps Requirements: Storage, Virtualization, Data visualization, BI, Excel, PowerPoint, Analytical skills, MS Excel, Data management Additionally: Private healthcare, Sport subscription.