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. Reporting directly to the Head of Data, this role will play a crucial part in supporting our Product team and driving data-driven decision-making across the organisation.
As a Senior Product Data Analyst, you'll be a key contributor to the growth and development of our recently established Product Analytics team. Working alongside another Product Data Analyst, you'll collaborate closely with Product Management and Data leadership to define and implement data strategies that foster product innovation and growth.
Your key responsibilities are:
- Provide data-driven recommendations to influence the product roadmap and prioritisation
- Develop and maintain a robust product analytics framework to support 6 Product Managers, as well as the Product Design and Product Marketing teams
- Foster a culture of data-driven decision-making within the Product team
- Create and own advanced data models and visualisations to uncover product insights and drive strategic decisions
- Collaborate with data engineers to ensure data quality and accessibility for product-related metrics
- Design and implement A/B tests and experiments to optimise product features and enhance the user experience
Our technical stack: GCP / Big Query / Airflow / dbt / Looker / Metabase / Python
What makes you the perfect fit for the role?
Mandatory requirements:
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Education: Bachelor's or Master's degree in a quantitative field (e.g., Computer Science, Statistics, Engineering)
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Experience: 3-5 years of experience (excluding internships & apprenticeships) in Product Analytics, preferably in a fast-paced tech or fintech environment
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Language: full professional proficiency in English & French
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Technical skills: solid experience with data visualisation tools (Looker, Tableau,...), proficiency in languages (SQL as mandatory, Python as a plus), and familiarity with Big Query, Airflow, dbt, and GCP
- Solid understanding of statistical analysis and experimentation methodologies
- Knowledge of tracking tools and methodologies (Segment, Rudderstack...)
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Great communicator: excellent communication skills with the ability to present complex data insights to both technical and non-technical stakeholders
Soft skills:
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You are autonomous, rigorous and detail-oriented
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You are data-driven: you are at ease with defining metrics to drive business decisions
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You are a problem solver: you love to investigate issues and identify the root causes of problems in order to identify appropriate solutions
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You have an analytical mindset: you are able to breakdown a big problem into smaller ones to solve them
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You are customer obsessed: you are able to put yourself in our users’ shoes and come up with creative ideas to improve their experience
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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 CPO or Head of Product (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!
