Swan is looking for a full-stack Data Analyst to join its Data team. The current team is led by Romain, our VP data, and consists of 8 members with expertise in Data Engineering, Analytics Engineering and Data Analytics.

You will work primarily on a wide range of finance-related topics, cross-functionally with Finance, Billing, Revops, Growth, and on company reporting. Occasionally, you will also support People team on all data-driven initiatives. This is a unique opportunity to design and build crucial data products from the ground up, and lead data projects that support strategic business goals on a company level.

✨ Your mission

• Analytics Engineering

• Design and implement data models and workflows to improve existing processes (Accounting Report, Revenue & Cost Report, etc).

• Ensure data integrity and quality by adhering to engineering best practices and making sure the models are tested, documented and easy to use.

• Data Analytics

  • Develop and maintain dashboards, reports, and metrics that provide actionable insights for financial performance and people analytics.

  • Conduct ad-hoc analysis for domain-specific business questions.

  • Become the go-to data person and support data-driven decision-making across their departments on a daily basis.

• Help shape our data strategy by actively contributing to internal guidelines and best practices, suggesting process enhancement and adoption of new tools.

✨ You’re a great match if:

• You should have a minimum of 3 years of experience as a Data Analyst, Analytics Engineer, or equivalent.

• Strong proficiency in SQL and hands-on experience in data modelling.

• Excellent analytical skills and attention to detail, with the ability to translate complex data into actionable insights and recommendations.

• Proven experience in project and stakeholder management, able to own projects from conception to execution with minimal supervision.

• Great communication skills, with the ability to present complex data to non-technical stakeholders in English.

• Passion, curiosity, and the capacity to learn quickly are important, as we are constantly exploring new technologies and approaches to improve our work.

• Ideally, you have already worked with DBT and a BI tool (Metabase, Looker, Tableau, etc).

• Ideally, you have already worked in functional domains like Finance and GTM (Sales/Marketing).

• Ideally, you have already worked in Fintech sector.

• Our ideal teammate: Empathetic. Skilled. Frank. We love to challenge each other, and we leave our egos at the door.

It’s okay if you don’t tick all the boxes — don’t let imposter syndrome prevent you from applying! 🙌 

Swan is committed to providing a caring work environment for all employees, regardless of age, sex, disability, sexual orientation, race, religion, or belief.

When it comes to recruitment, we’re interested in your work experience, skills, and overall personality. Because diversity makes the workplace stronger and is necessary for Swan’s success, we are intensifying efforts to incorporate concrete actions to help us improve in this area.

• A 30-min video call with our Talent Acquisition Manager, to get to know you, understand your career expectations and answer your questions

• A technical interview

• A peer interview

• An interview with our VP Data