[Hiring] Revenue Operations Analyst @fino data services GmbH

Role Description

We are looking for a Revenue Operations Analyst to improve how we use data across marketing, sales, customer success, product, and billing. Your main responsibility is to understand how our revenue processes perform and why results change. You will define metrics, combine data from different systems, investigate patterns, and test assumptions. Your analyses should lead to measurable improvements.

• Analyse the customer journey from acquisition and conversion to retention and revenue.
• Define and maintain consistent metrics across marketing, sales, customer success, product, and finance.
• Extract, combine, clean, and validate data from operational and analytical systems.
• Investigate changes in customer behaviour, funnels, conversion rates, retention, costs, and revenue.
• Determine the likely causes of performance changes instead of only describing the result.
• Review existing reports and identify unreliable metrics, missing data, and conflicting definitions.
• Develop hypotheses and test them against the available data.
• Distinguish evidence from assumptions, correlations, and opinions.
• Estimate the expected impact of proposed changes and define how success will be measured.
• Prioritise opportunities based on impact, effort, and the reliability of the supporting data.
• Present findings and recommendations in a form that supports business decisions.
• Build selected dashboards, data models, automations, and process improvements.
• Measure implemented changes and assess whether they produced the expected result.
• Use AI assistants as a daily tool for research, data exploration, coding support, and documentation.
• Verify AI-generated results against the underlying data and original sources.
• Document metric definitions, data logic, assumptions, methods, and limitations.

Qualifications

• Strong analytical skills and a structured approach to solving problems.
• A high standard for data quality and reliable results.
• General programming knowledge and an interest in developing your technical skills.
• Initial experience with SQL, Python, JavaScript, APIs, spreadsheets, data warehouses, or business intelligence tools is beneficial.
• A basic understanding of statistics, including the difference between correlation and causation.
• The ability to examine a problem from different perspectives before reaching a conclusion.
• Interest in using AI assistants as part of analytical and technical work.
• The judgement to review AI-generated results critically.
• The ability to explain complex findings in clear language.
• The motivation to learn unfamiliar tools, systems, and business areas.
• The discipline to follow an analysis until the result is sufficiently reliable.

Benefits

• Clear Responsibilities and Support: You’ll always know what’s expected of you, and you’ll work in an environment where mistakes are seen as valuable opportunities to learn.
• A Shared Commitment to Outstanding Results: Our team is passionate about achieving excellence and values your contribution as an essential part of our success.
• Personal Growth and Ownership: We encourage self-motivation and personal accountability, empowering you to deliver exceptional results.
• Dynamic Feedback for Continuous Learning: You’ll receive direct and timely feedback, enabling you to adapt quickly to change and continuously improve.
• Open Communication and Professional Development: We foster open communication and actively support your personal and professional growth.
• A Results-Driven Mindset Focused on Company Success: Our goal is to achieve results that move the company forward.
• Team Days, Summer Parties, and Christmas Celebrations: Regular events that strengthen team spirit and make work more enjoyable.
• Corporate Benefits: Enjoy a range of employee discounts and perks.
• Dog-Friendly Workplace: Bring your four-legged friend to work.
• Bike Leasing: Take advantage of our bike leasing program for a greener and healthier commute.

Company Description

fino data services baut Software so, wie wir sie selbst nutzen wollen: durchdacht, schnell und ohne Kompromisse bei der Qualität. Daraus sind eigenständige Produkte entstanden, die Unternehmen direkt einsetzen, und eine modulare Infrastruktur, die Partner in ihre eigenen Systeme integrieren. Über 100.000 Unternehmen arbeiten heute damit.