Senior Data Analyst

Swan is looking for a Data Analyst to join our Data team, led by Romain, our VP Data. The team has 9 people across data engineering, analytics engineering and data analysis.

This is a hybrid role. Half of it is being a business partner: you'll work hand in hand with your stakeholders, help them ask the right questions, and turn data into recommendations that shape their decisions.

The other half is making data work better at Swan. As our team has grown, so has the variety in how we build dashboards, define KPIs and document our work. You'll lead the effort to harmonize these practices and bring the team along with you. You'll also run initiatives that help the rest of Swan get more value from data, such as Metabase training and data onboarding for new Swanees.

Think of it as RevOps for data: you'll shape not only what we deliver, but how we work.

✨ Your mission

Your mission has two sides:

• You have 6+ years of experience in data analytics and have worked closely with business stakeholders, ideally non-technical ones.

• You're fluent in SQL and at ease with a BI tool such as Metabase.

• You've led the adoption of new standards or processes across a team, convincing peers without having authority over them, and can show what changed as a result.

• You're pragmatic about process: you know how to keep standards lightweight and focused on what really solves the problem.

• You have grit and follow-through: you're the person who turns ideas into reality, keeps momentum when things get slow or messy, and doesn't let a project quietly die.

• You enjoy sharing knowledge: training, documentation, onboarding or helping others become autonomous with data.

• You handle sensitive or confidential data with care and discretion.

• You're excited by a hybrid role, half business partner, half making the team and the company work better with data.

• You share our values: team spirit, transparency, ownership, and the humility to keep learning.

✨ Even better if:

• You have experience with dbt or building data marts.

• You've worked on data catalogs, KPI governance or dashboard lifecycle initiatives.

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.

1. Prescreen with Talent Acquisition

2. Hiring Manager interview

3. Technical + Peer Interview

4. Take-home + combined session