At Ageras, we're revolutionizing the way entrepreneurs—freelancers, self-employed professionals, and SMEs—manage their banking and administrative tasks. Operating in the ever-evolving FinTech space, we face one of the industry's most intricate challenges: building a robust, reliable architecture to enable seamless data collection, analysis, and visualization. Unsurprisingly, our Data team plays a pivotal role in driving Ageras' success!
Our Data department is organized into three specialized squads: Data Analytics, Data Modeling, and Data Platform, ensuring optimal efficiency and focus.
We are now seeking a skilled Data Analyst to join our Data Analytics team, currently composed of 4 data analyst and 1 lead data analyst.
As for our tech stack, we work with Python, AWS, Snowflake, Big Query, Meltano, Terraform, Dagster, and dbt for data modeling. If you're passionate about leveraging these tools to shape the future of FinTech, we'd love to hear from you!
Data analysis at Ageras means working with a large volume of data across diverse domains (payment transactions, user behavior and conversion, product usage, ticket volume, revenue, marketing...), and and draw business insights from it to support or impact the company strategy
Your responsibilities will include:
A 45’ introductory call with Annaïg (Talent Acquisition Specialist) to learn more about each other and give you an overview of Ageras.
A 90’ interview with Saghar (Lead Data Analyst) to discuss your experience, dive into the role, and evaluate your SQL skills.
A 30’ business case presentation, where you will showcase your technical expertise and problem-solving abilities.
* Le salaire de référence se base sur les salaires cibles des leaders du marché dans leurs secteurs correspondants. Il vise à servir de guide pour aider les membres Premium à évaluer les postes vacants et contribuer aux négociations salariales. Le salaire de référence n’est pas fourni directement par l’entreprise et peut pourrait être beaucoup plus élevé ou plus bas.