Data Analyst – SaaS

This is a fully remote position, open to applicants in Europe.

📋 Description

• Evaluate the effectiveness of acquisition channels, campaigns, and customer cohorts.

• Recognize trends, inconsistencies, and potential opportunities, while providing insights to the Marketing team and leadership.

• Assess the customer journey, funnels, cohorts, user interactions, retention rates, and churn metrics.

• Work alongside the SaaS Data Scientist on analyses, experiments, and measuring impact.

• Review payment performance metrics, including approvals, declines, and retries.

• Monitor revenue, disputes, fraud, and risk indicators.

• Suggest enhancement initiatives in collaboration with the Payments team and evaluate their outcomes.

• Convert business and leadership inquiries into accurate, comprehensible analyses.

• Ensure data quality and consistency in partnership with the Data Engineer.

• Contribute to the establishment of shared metric definitions.

• Present findings, limitations, and prioritized recommendations effectively.

• Develop and maintain reusable data and analytical skills throughout DotWorld.

• Collaborate with the CEO and various teams including Marketing, Product, Payments, and Finance.

⛳️ Requirements

• 3–5 years of experience in a Data Analyst role or a similar BI/analytics position.

• Background in SaaS, subscription-based business models, or e-commerce.

• Proven experience in analyzing customer, marketing, product, or payment data.

• Familiarity with payment or PSP data and user interaction data is advantageous.

• Proficient in SQL, including joins, segmentation, cohort analysis, and window functions.

• AI-savvy mindset: experience with AI assistants like Claude or similar, and cloud platforms.

• Strong foundation in data analysis and statistics.

• Ability to integrate data from various sources and ensure its consistency.

• Understanding of key business metrics such as conversion rates, customer acquisition costs, retention, ARPA, and LTV.

• Proficiency in Python is a plus.

• Familiarity with product analytics tools is beneficial.

• Experience working with data from Stripe, Adyen, Recurly, or Chargebee is a plus.

• Fluency in French is required.

• Minimum English proficiency level: B2.

🏝️ Benefits

• A challenging and engaging company culture.

• Direct influence on decision-making and the growth of various SaaS products.

• Comprehensive visibility into the customer journey.

• Direct collaboration with the Data team, business teams, and leadership.

• Centralized data management on a modern tech stack, backed by a Data Engineer.

• A diverse role encompassing multiple business areas.

• Opportunities for professional development.

• A culture that fosters innovation.

• Career advancement opportunities within a rapidly growing company.

• Option for remote work from anywhere in Europe.

• Flexible work hours.

• Ability to work remotely from a different time zone for one month.

• Two company offsites each year.

• For employees located in Lausanne: modern office facilities, access to sports amenities, parking, and travel expense support.