Analytics Engineer at Pleo

At Pleo, we are on a mission to revolutionize how businesses manage company spending. We believe that financial processes should be seamless, empowering, and effective, replacing outdated spreadsheets and frustrating delays with tools that foster autonomy and trust. As a team of over 850 people from more than 100 nations, we are committed to building a future where finance teams and employees work in unity. We value transparency, innovation, and a collaborative culture, and we are looking for passionate individuals to help us shape the future of work.

The role

We are seeking a Mid-Level Analytics Engineer to join our Data Service team on a full-time basis. This is a hybrid role, and we welcome applicants from anywhere. You will play a pivotal role in our central Data Platform group, focusing on building and refining the data models and semantic layers that empower self-serve analytics across the entire organization. This position is perfect for someone who thrives in a fast-paced, product-led environment and enjoys transforming complex requirements into clean, scalable data solutions.

Core responsibilities

• Design and construct robust data models that drive our key dashboards, KPIs, and exploratory analyses.
• Translate intricate business logic into structured, testable, and well-documented datasets that are reliable for teams across the company.
• Partner with analysts, engineers, and product managers to align on data definitions, requirements, and model ownership while improving our overall development workflows.

Skills and experience

To be successful in this role, you should possess the following qualifications:

• Proven experience working with dbt and modern cloud data warehouses like BigQuery.
• Strong SQL proficiency with a focus on building reusable models within a layered architecture.
• Familiarity with Git-based workflows, version control, and CI/CD practices for analytics code.
• A collaborative mindset with the ability to translate ambiguous business needs into performant, clean data transformations.
• Excellent communication skills in English, which is our primary company language.

Compensation and benefits

We are committed to supporting your well-being and professional growth. Our benefits include:

• Paid time off, including 25 days of vacation plus public holidays, with the option to purchase additional days.
• A mental wellness budget and free access to MyndUp for mental health support.
• Flexible work arrangements, including the option to work remotely or in a hybrid capacity.
• Professional development opportunities, including access to LinkedIn Learning.

How to apply

If you are excited about our mission and want to help us build the future of work, we encourage you to apply. Please submit your application in English through our official application system. We believe in creating a team that reflects the diversity of the world, so we invite you to apply even if you do not feel you tick every single box. We treat all candidates equally and look forward to reviewing your application.