Data Analyst - Permanent Contract

JR France; Les Ulis; Sur place; EUR 45 000 - 60 000; Plein temps

Résumé du poste

Une entreprise fintech en pleine croissance recherche un Analyste de Données pour aider à la prise de décisions stratégiques basées sur les données. Votre rôle comprendra la création de tableaux de bord BI, le traitement des demandes de plusieurs équipes, et l'expérimentation avec des modèles statistiques. Le travail à distance est possible et offre une culture d'entreprise flexible et dynamique.

Prestations

Couverture de votre abonnement de transport

100% de la couverture de l'assurance santé familiale

Pass culturel de 200€

Pass sportif de 400€

Bonus de vacances

Livraison hebdomadaire de fruits frais

Qualifications

• 3+ ans d'expérience en analyse de données, de préférence en fintech.
• Compétences solides en Python et SQL.
• Bonne connaissance des méthodes statistiques.

Responsabilités

• Travailler avec les équipes pour générer des insights à partir des données.
• Créer et maintenir des tableaux de bord BI complexes.
• Développer un modèle statistique pour les prévisions de remboursement.

Connaissances

Python

Analyse de données

SQL

Statistiques

Visualisation de données

Outils

pandas

NumPy

scikit-learn

Tableau

Metabase

Looker

Description du poste

Social network you want to login/join with:

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Client:

Aria

Location:

Job Category:

Other

Remote work opportunities

-

EU work permit required:

Yes

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Job Reference:

548793708142447820832760

Job Views:

2

Posted:

18.06.2025

Expiry Date:

02.08.2025

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Job Description:

What you'll do

As we scale our operations, we're looking for a talented Data Analyst to join our growing team and help drive data-informed decision making across the organization.

Remote work opportunities

Role overview

• You’ll work closely with teams across the company to leverage our data, generate insights and help make the right strategic decisions
• You’ll take on real ownership on a wide variety of topics, from designing, building & maintaining complex BI dashboards & reports, to experimenting with new statistical models. No silos!
• You’ll learn a lot about fintech - we are not just a SaaS provider: we lend our own money, which means topics such as credit risk, fraud or traceability are critical.
• work with the Finance team to create a statistical repayment forecast model
• work with the Ops team to improve how we compute & report billing
• work with the Risk team to find new ways to handle complex fraud scenarios
• 3+ years of experience in a data analysis role, preferably in fintech or financial services
• Strong proficiency in Python for data analysis (pandas, NumPy, scikit-learn)
• Experience with SQL, relational databases and data transformation pipelines (e.g. dbt)
• Familiarity with BI tools such as Metabase, Tableau, or Looker
• Strong statistical knowledge and experience with common statistical methods
• Excellent problem-solving skills and attention to detail
• Ability to translate complex findings into actionable business recommendations
• Expertise in data visualization and using data insights to make recommendations and achieve goals

Aria Experience ?

• +40 employees with a 32 years old average age, meaning best of both worlds: all senior enough to think big, not senior enough to still love working on the field
• Lots of caring and flexibility in your work and organization: remote work possible
• Offices located in the heart of the Marais, in Paris’ 4th arrondissement
• Regular joint activities and two seminars per year

Our Benefits ?

• ? Coverage for your bike subscription (or public transport) and access to private parking.
• ? 100% coverage of family health insurance (ALAN).
• ? A culture pass worth €200.
• ? A sports pass worth €400.
• ? A holiday bonus.
• ? Weekly delivery of fresh, seasonal, and locally sourced fruits.

Interview Process ?

• An initial call with our HR Manager
• A first interview with the Data team lead
• A second technical interview with the rest of the Data team
• A final interview with data stakeholders (e.g. Ops, Finance, Product)
• A coffee fit in our offices to meet the team.