




Job Summary: This finance position offers a fundamental opportunity to contribute to Paytrack's strategy and growth, focusing on structuring financial analyses and optimizing KPIs. Key Highlights: 1. Contribute to the company's strategy and growth in the financial sector. 2. Structure and maintain analytical databases for financial forecasting. 3. Develop and optimize KPI dashboards in Power BI or Excel. Paytrack is a leading company in corporate travel, payment, and expense management solutions. We serve over 1,000 large corporate clients. Our mission is to simplify corporate expense management, making it as intuitive and efficient as personal experiences, while accommodating the complexity required by large enterprises. **Working in Finance** is an excellent opportunity to contribute to the company's results and establish your professional footprint, while simultaneously expanding your professional expertise. Here, you are a key player in the company's strategy and growth! We are a company of innovative, creative, and diverse people, so we warmly welcome you with all your diversity. **Your daily responsibilities will include:** Support the team leader in structuring and maintaining analytical databases for projected income statements, cash flow statements, and long-term financial scenarios, using Excel, SQL, or Python as needed. * Consolidate and process data from various departments, ensuring that financial and operational assumptions are consistently reflected in analyses. * Develop, update, and optimize dashboards and analytical views in Power BI or Excel, ensuring the availability and reliability of key performance indicators (KPIs) across SaaS, Travel, and Finance domains. * Conduct exploratory data analyses to investigate financial and operational variances, structuring databases and visualizations that support strategic insight generation. * * Support data collection, organization, and analysis for tax planning studies and feasibility assessments related to expansion or entry into new markets (internationalization). **✔️ What You Need to Have/Know/Be:** * Bachelor's degree completed or currently in the final year in Business Administration, Economics, Engineering, Information Systems, Data Science, or Accounting. * Experience with Excel or Google Sheets for data analysis. * Familiarity with Power BI, SQL, or Python for data manipulation, analysis, and visualization is desirable. * Analytical mindset, with strong ability to structure data, identify patterns, and support business decisions.


