Data Analyst Finance & Customer

Join Proton and build a better internet where privacy is the default

At Proton we believe that privacy is a fundamental human right and the cornerstone of democracy. Since our inception in 2014 founded by a team of scientists from CERN we have dedicated ourselves to providing free and open-source technology to millions worldwide ensuring access to privacy, security and freedom online.

Our journey began with Proton Mail, the largest secure email service globally, and has since expanded to include Proton VPN, Proton Calendar, Proton Drive and Proton Pass. These tools empower individuals and organizations to take control of their personal data, break away from Big Tech’s invasive practices and defeat censorship. Our work impacts hundreds of millions of lives, from activists on the front lines defending freedom to leaders in governments protecting sensitive information.

Some cases Proton’s services have even been instrumental in saving lives by enabling secure and private communications in high‑risk situations.

Proton is a profitable company that does not rely on VC funding, supporting over 100 million user accounts with a growing team of over 500 people from more than 50 different countries from the world’s top companies and universities. We value intelligence, learning, potential and ambition in our hiring process. Adaptability is key as we navigate uncharted territories and redefine how business is conducted online.

Hiring at Proton is highly selective with less than 1% of candidates hired. We believe smaller teams of exceptional talent will always prevail over larger teams with lower talent density. You will have the opportunity to work with many of the world’s top minds in their fields ranging from former international math and science Olympiad winners to chess champions.

We have a global mindset and big ambitions but remain a start‑up  value empowerment and flexibility and keep our structure flat to keep moving fast and avoid unnecessary politics. Tired of blending into the crowd? Join us and do work you can truly be proud of. Check our open‑source projects here!

We are seeking a Data Analyst Finance & Customer Payments to own and evolve the data backbone that powers our financial will, partner with Finance Product and Engineering to turn raw transaction streams into reliable ledgers, insightful dashboards and forward‑looking work. This will directly enable accurate revenue recognition and seamless payment experiences for our customers.

If you’re passionate about turning financial data into a strategic advantage and enjoy solving complex payment‑related challenges, we would love to hear from you. Apply now and help us build the financial intelligence that fuels our next phase of growth.

• Analyze payment data to develop a full understanding of the payment friction points and drivers.
• Design and visualize financial and payments KPIs tying revenue to specific product, ensuring compliant reporting and audit readiness.
• Be the point of contact for all analytical consultations on our financial ledger sourced from Chargebee, Apple, Google and other product lines.
• Build data pipelines processing data from several sources to compute KPIs and automate cost attribution.
• Regularly monitor data to identify trends and anomalies surfacing trends and actionable recommendations for the finance and payments teams.
• Collaborate closely with engineering teams to increase the quality and usability of our data within a privacy‑first ecosystem.

• Bachelor’s degree or higher in a quantitative field (finance, statistics, mathematics, economics, computer science, etc.).
• At least 4 years of professional experience as a Data Analyst with a strong focus on finance, payments or SaaS revenue analytics.
• Good knowledge of data querying and transformation using SQL and Python (Num Py, pandas, …).
• Solid understanding of subscription billing systems (Chargebee or similar) and payment processor reconciliation (Apple, Google, Stripe, …).
• Demonstrated ability to design financial dashboards (Metabase or similar) that translate raw data into clear business insights.
• Clear communication skills with…