Analytics Engineer

About Alma At Alma, we believe sustainable commerce depends on fair, well‑balanced trade. Because finance plays a pivotal role in business, our mission is to put it back in its rightful place - serving merchants and consumers. Our installment and deferred payment solutions help merchants boost sales by 20% or more, increase customer loyalty, and deliver a seamless shopping experience - without encouraging bad debt. As the buy now pay later leader in France and active in 10 European countries, we've empowered over +25,000 merchants and 10 million consumers. With 400+ Almakers and €100M+ ARR, Alma is scaling rapidly across Europe as a member of the Next40, and we're just getting started! About the team You will join Alma’s central Data team, which supports a wide range of business teams, including Finance, Product, Marketing, Risk, and Operations. The team is made up of six Data Analysts, including several experienced colleagues, and works at the intersection of Data Engineering, Data Analytics, and business teams. Reporting to Gil Marlard , you will help strengthen the data foundations that support reporting, analytics, operational processes, and business decision-making. This position is a permanent (CDI) role based in Paris, with a hybrid working model, we are also open to full remote in France. About the job As an Analytics Engineer, you will help strengthen the data foundations that support the whole organization. The central Data team serves a wide range of business teams, including Finance, Product, Marketing, Risk, and Operations. You will join a team of six Data Analysts, including several experienced colleagues, and work at the intersection of Data Engineering, Data Analytics, and business teams. You will transform raw data into trusted datasets that support reporting, analytics, operational processes, such as deciding which customer to call, and business decision-making. Our data foundations currently have different levels of maturity across business teams, and part of our ambition is to rebuild and standardize some of them. Your work will be particularly important in enabling more self-service and conversational analytics for our business teams, by making data easier to find, understand, trust, and use. A key part of your role will be improving the lineage and governance of our tables, following a medallion-inspired approach with clear layers. Data modeling and data quality Build and maintain reusable data models, macros, and semantic layers in dbt and BigQuery Develop staging, intermediate, and mart models following clear data modeling principles Implement data quality tests, freshness checks, and documentation Improve the lineage, ownership, and discoverability of our most important tables Strengthen our semantic layer and ensure that metric definitions are consistent Identify and remove duplicated, obsolete, or deprecated datasets and content Optimize queries and models for reliability, performance, and cost Central Data Analytics Community Build reusable data assets that can be leveraged by Data Analysts across different business domains Lead enablement by mentoring analysts and training them on dbt, Looker, governance, and metric definitions Partner on the data platform roadmap across GCP, BigQuery, Argo, dbt, and Looker Contribute to keeping our data stack clean, reliable, and easy to maintain Participate in code reviews and help define analytics engineering standards Discuss and validate data contracts with the rest of the Engineering team Collaborate with Data Analysts, Data Engineers, and business stakeholders to deliver trusted and actionable data You will work with dbt, BigQuery, Looker, GCP, Argo, Git, Claude About you To succeed in this job You have at least 2 years of experience in Analytics Engineering, Data Engineering, Data Analytics, or a similar role. You have practical experience with