Data Analyst (SaaS)

Location: Europe; remote work

Company

hirify.global is hiring for a Swiss venture builder and SaaS studio that launches and scales subscription-based products, including B2C digital tools in HR tech, file management, and creative software.

What you will do

• Analyze acquisition channels, campaigns, customer cohorts, conversion, revenue, CAC, LTV, retention, and churn across multiple SaaS products.
• Investigate customer journeys and conversion funnels to identify drop-off points, profitable segments, growth opportunities, and product performance issues.
• Monitor payment acceptance, declines, retries, disputes, fraud, and risk indicators across providers, products, countries, and customer segments.
• Translate business questions into reliable analyses and collaborate with Marketing, Product, Payments, Finance, Data, and leadership stakeholders.
• Validate data quality and consistency with the Data Engineer, contribute to shared metric definitions, and collaborate with the SaaS Data Scientist on experiments and impact measurement.
• Present findings and limitations, provide prioritized recommendations, and develop reusable analytical resources and AI-powered data skills.

Requirements

• 3–5 years of experience as a Data Analyst or in a similar BI or analytics role.
• Experience with SaaS, subscription-based business models, or e-commerce and an understanding of growth and revenue challenges.
• Strong SQL skills, including joins, segmentation, cohort analysis, and window functions.
• Knowledge of data analysis and statistics, including performance comparisons, cohort analysis, and test-result interpretation.
• Understanding of conversion rate, CAC, retention, ARPA, and LTV metrics.
• Experience analyzing customer, marketing, product, or payment data; combining multiple data sources; and validating data quality and consistency.
• Hands-on experience using AI assistants such as Claude or equivalent and cloud-based AI tools in analytical and reporting workflows, with the ability to critically evaluate outputs.
• Strong business acumen, curiosity, critical thinking, analytical rigor, autonomy, proactivity, prioritization, and stakeholder communication skills.
• Fluent French and English at B2 level or higher required.

Nice to have

• Python for data analysis and experience with product analytics tools.
• Familiarity with PSP data and platforms such as Stripe or Adyen.
• Experience with subscription billing platforms such as Recurly or Chargebee.
• Experience analyzing payment performance, fraud, disputes, and payment acceptance rates.
• Familiarity with experimentation and A/B testing.

Culture & Benefits

• Remote work with a flexible schedule and direct cooperation with the customer.
• Competitive salary with regular reviews, medical reimbursement after three months, up to 20 working days of vacation, 10 sick-leave days, and up to 11 paid national holidays.
• Online English courses and accountant assistance.
• Low-bureaucracy environment, challenging projects across diverse domains and technology stacks, and communication with senior specialists.
• Online and offline team-building activities and support for a volunteering culture.

Hiring process

• Apply to discuss how your experience can contribute to the project.