About Alma

At Alma, we’re reinventing finance to serve those who matter the most: merchants and consumers. Our instalment and deferred payment solutions help merchants boost sales by up to 20%, increase customer loyalty, and deliver a seamless shopping experience — all without encouraging debt. As the BNPL leader in France and active in 10 European countries, we’ve empowered over 21000 merchants and 8 million consumers. With a team of 340+ Almakers and a €115M Series C funding round, Alma is rapidly scaling across Europe — and this is just the beginning...

About the job

We're seeking a Senior Product Data Analyst to join our expanding data team. As a member of our central data analytics team, you will hold a full stack and cross-functional position that bridges our data engineers and our business teams. With a focus on Finance, you will play a crucial role in enhancing decision-making across the company.

Reporting directly to the Head of Data, you will be instrumental in leveraging our data as a significant asset to outpace our competitors.

Your key responsibilities are:

As a Senior Data Analyst in our central data team, you will focus on 2 main aspects:

Finance Business Partnership

• Own Finance data modeling in dbt and deliver reliable Looker explores/dashboards for KPIs, actuals vs. plan, and forecasting
• Migrate and consolidate legacy reports (Metabase, Google Sheets) into a governed dbt + Looker stack with clear documentation
• Validate data end-to-end with Finance stakeholders; ensure definitions, assumptions, and calculation logic are transparent and consistent

Central Data Analytics Community

• Build reusable dbt models, macros, and semantic layers that other analysts can leverage beyond Finance use cases
• Lead enablement: mentor analysts and train on dbt/Looker, governance, and metric definitions
• Partner on the data platform roadmap (GCP/BigQuery, Argo, dbt, Looker) to improve reliability, cost efficiency, and developer experience

Our technical stack: GCP / Big Query / Airflow / dbt / Looker / Metabase / Python

What makes you the perfect fit for the role?

Mandatory requirements:

• Master degree from an engineering or business school
• Minimum 3 YoE as data analyst
• Experience with data visualization tools (Looker, Tableau…) and languages (SQL, dbt, Python)
• Excellent spoken and written communication skills and the ability to convey complex findings in a clear and understandable way
• Fluent English (FR not required, optional)
• Good understanding of data architecture principles

Soft skills:

• You are autonomous, rigorous and detail-oriented
• You are data-driven: you are at ease with defining metrics to drive business decisions
• You are a problem solver: you love to investigate issues and identify the root causes of problems in order to identify appropriate solutions
• You have an analytical mindset: you are able to breakdown a big problem into smaller ones to solve them
• You are customer obsessed: you are able to put yourself in our users’ shoes and come up with creative ideas to improve their experience
• You have an entrepreneurial mindset: you do not hesitate to take ownership and “get your hands dirty”

About the recruitment process

• Phone interview with Recruiter (30 mins)
• Interview with Hiring Manager and Product Data Analyst (60 mins)
• Take-home Business Case Study, followed by On-site / Remote presentation with 2 Data Analysts (60 mins)
• Final interview with a Finance Business Partner (45 mins)

You're not sure if you meet 100% of the criteria and that's making you hesitate to apply?

👉 At Alma, we believe that diversity drives innovation and strengthens our community and are committed to creating a workplace where everyone feels respected, valued, and empowered to contribute. We are proud to be an equal opportunity employer and welcome applicants from all backgrounds and experiences. All employment decisions are made based on qualifications, experiences, merit, and business needs without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, or any other legally protected characteristic.

So please take your chance, apply anyway!