Data Analyst SaaS

This position is listed on behalf of a partner company, which manages all applications and next steps. Our partner is looking for a Data Analyst SaaS based in Romania. We are looking for an experienced Data Analyst to transform complex data into actionable insights and strategic business decisions across multiple subscription-based SaaS products. In this role, you will analyze the entire customer journey, from acquisition and user engagement to payments, revenue, and retention. You will work closely with Data, Marketing, Product, Finance, and executive teams to identify growth opportunities, uncover performance challenges, and improve business outcomes. Beyond traditional reporting and dashboard creation, you will investigate key business questions, develop analytical recommendations, and measure their impact. You will also contribute to building reusable data capabilities and integrating AI-powered tools into analytical workflows. This is an exciting opportunity to join a growing, fully distributed international team and have a direct impact on the performance and development of several global digital products. Accountabilities: - Analyze acquisition channels, marketing campaigns, and customer cohorts to evaluate acquisition costs, conversion rates, revenue generation, and customer lifetime value (LTV). - Identify the marketing channels, campaigns, and customer segments that generate the most profitable growth, providing actionable recommendations to Marketing teams and senior management. - Analyze the complete customer journey, from the first website visit and registration to free trials, subscriptions, and long-term retention. - Investigate conversion funnels, customer cohorts, user interactions, retention rates, and churn to identify friction points and opportunities to improve the customer experience. - Collaborate with Data Science specialists to conduct deeper analyses, evaluate experiments, and measure the impact of product and marketing initiatives.

- Monitor payment performance, including transaction acceptance rates, declined payments, and retry mechanisms across payment service providers (PSPs), products, countries, and customer segments. - Analyze revenue performance and risk indicators, including payment disputes and fraudulent transactions, identifying unusual trends and areas requiring further investigation. - Work closely with Payment teams to recommend improvements to payment processes and evaluate the effectiveness of implemented initiatives. - Translate business questions from different departments and senior stakeholders into reliable, structured, and meaningful data analyses. - Collaborate with Data Engineering specialists to validate data quality, ensure consistency across multiple sources, and contribute to standardized business metric definitions. - Present analytical findings, explain limitations, and communicate clear, prioritized recommendations supported by relevant data. - Develop and maintain reusable data analysis tools, skills, and workflows that enable teams to explore information and answer business questions more independently. - Integrate AI-powered assistants and modern analytical technologies into daily workflows to improve the efficiency, accessibility, and quality of data analysis. Requirements: - Between 3 and 5 years of professional experience as a Data Analyst, Business Intelligence Analyst, or in a similar analytical position. - Previous experience working with SaaS products, subscription-based business models, or e-commerce businesses, with a strong understanding of revenue generation and growth drivers. - Experience analyzing customer, marketing, product, or payment data, with the ability to explore unfamiliar business areas and understand their underlying metrics. - Strong SQL skills, including experience with joins, data segmentation, cohort analysis, and window functions.