HQ - Analytics Engineer (EMEA Remote)

3-5 years of experience in Analytics Engineering, Data Engineering, or technical roles close to Finance or Analytics. Solid experience using SQL (any dialect) and dbt to build and maintain analytical data models. Experience working with data from multiple sources and consolidating it into consistent datasets. Strong problem-solving and debugging skills. Comfortable working with Finance and Data stakeholders. Good verbal and written communication skills in English. Bachelor’s degree in a quantitative field (Computer Science, Engineering, Math, Statistics, Economics, or similar).

Design and maintain scalable data models for Global P&L and FP&A reporting. Translate business needs into analytical datasets by working with Finance and Data stakeholders. Develop and maintain data models using dbt and Redshift SQL. Design and implement datasets for planning, forecasting, and financial decision-making. Partner with Finance Managers, Analysts, and Data Engineers to validate data and improve pipelines. Apply testing and documentation best practices for financial data. Contribute to improving data processes and working practices.