pbThis 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 Italy. /b /ppWe 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. /ph3Accountabilities /h3ulliAnalyze acquisition channels, marketing campaigns, and customer cohorts to evaluate acquisition costs, conversion rates, revenue generation, and customer lifetime value (LTV). /liliIdentify the marketing channels, campaigns, and customer segments that generate the most profitable growth, providing actionable recommendations to Marketing teams and senior management. /liliAnalyze the complete customer journey, from the first website visit and registration to free trials, subscriptions, and long-term retention. /liliInvestigate conversion funnels, customer cohorts, user interactions, retention rates, and churn to identify friction points and opportunities to improve the customer experience. /liliCollaborate with Data Science specialists to conduct deeper analyses, evaluate experiments, and measure the impact of product and marketing initiatives. /liliMonitor payment performance, including transaction acceptance rates, declined payments, and retry mechanisms across payment service providers (PSPs), products, countries, and customer segments. /liliAnalyze revenue performance and risk indicators, including payment disputes and fraudulent transactions, identifying unusual trends and areas requiring further investigation. /liliWork closely with Payment teams to recommend improvements to payment processes and evaluate the effectiveness of implemented initiatives. /liliTranslate business questions from different departments and senior stakeholders into reliable, structured, and meaningful data analyses.



/liliCollaborate with Data Engineering specialists to validate data quality, ensure consistency across multiple sources, and contribute to standardized business metric definitions. /liliPresent analytical findings, explain limitations, and communicate clear, prioritized recommendations supported by relevant data. /liliDevelop and maintain reusable data analysis tools, skills, and workflows that enable teams to explore information and answer business questions more independently. /liliIntegrate AI-powered assistants and modern analytical technologies into daily workflows to improve the efficiency, accessibility, and quality of data analysis. /li /ulh3Requirements: /h3ulliBetween 3 and 5 years of professional experience as a Data Analyst, Business Intelligence Analyst, or in a similar analytical position. /liliPrevious experience working with SaaS products, subscription-based business models, or e-commerce businesses, with a strong understanding of revenue generation and growth drivers. /liliExperience analyzing customer, marketing, product, or payment data, with the ability to explore unfamiliar business areas and understand their underlying metrics. /liliStrong SQL skills, including experience with joins, data segmentation, cohort analysis, and window functions. /liliSolid foundations in data analysis and statistics, including performance comparisons, cohort analysis, and interpretation of experimental results. /liliAn AI-native mindset, with practical experience using AI assistants such as Claude or equivalent tools, cloud-based technologies, and reusable analytical workflows. /liliAbility to integrate AI into data exploration, analysis, and reporting processes while critically evaluating the accuracy and reliability of AI-generated results. /liliStrong understanding of key SaaS business metrics, including conversion rates, customer acquisition costs (CAC), retention, average revenue per account (ARPA), and customer lifetime value (LTV). /liliAbility to combine and analyze data from multiple sources while identifying inconsistencies and ensuring data reliability. /liliFamiliarity with payment service provider data and user interaction analytics is an advantage, although specialist expertise in every area is not required. /liliExperience with Python, product analytics platforms, or business intelligence tools is considered a plus.



/liliFamiliarity with payment platforms such as Stripe or Adyen and subscription billing solutions such as Recurly or Chargebee is an additional advantage. /liliStrong business curiosity and analytical thinking, with the ability to investigate the reasons behind performance trends and understand their commercial implications. /liliExcellent critical thinking and attention to detail, including the ability to challenge assumptions, identify data limitations, and ensure analytical accuracy. /liliAbility to formulate, communicate, and defend clear business recommendations supported by quantitative evidence. /liliStrong autonomy, initiative, and prioritization skills, with the ability to manage multiple projects and collaborate across different departments. /liliExcellent communication and presentation skills, with the ability to explain complex analytical findings to both technical and non-technical stakeholders. /liliFluency in French is required, as it is the primary business language. /liliEnglish proficiency at B2 level or higher is required, as English is the secondary working language and will be assessed during the recruitment process. /li /ulh3Benefits: /h3ullib100% remote working across Europe /b, with the flexibility to work from any European country. /liliFlexible working hours, allowing employees to organize their schedules according to their personal preferences and professional responsibilities. /liliOpportunity to work remotely from a different time zone for up to one month. /liliTwo company-wide team seminars per year, organized in spring and autumn, offering opportunities for collaboration, connection, and team-building. /liliProfessional development opportunities in a rapidly growing business, with the possibility of expanding responsibilities and influencing the company's future direction. /liliExposure to multiple SaaS products and business models, providing opportunities to develop expertise across marketing, product analytics, payments, and finance. /liliAccess to a modern data infrastructure, supported by dedicated Data Engineering expertise. /liliDirect collaboration with senior leadership and cross-functional teams, offering meaningful visibility and influence over business decisions. /liliAn innovative and performance-oriented environment that encourages ownership, autonomy, continuous learning, and experimentation. /liliFor employees based in Lausanne: access to modern office facilities, sports amenities, parking, and financial contributions toward commuting expenses. /liliAn inclusive and collaborative remote culture built around trust, flexibility, accountability, and professional growth. /li /ul #J-18808-Ljbffr

📌 Data Analyst SaaS (Bardi)
🏢 Jobgether
📍 Bardi