Senior Analytics Product Engineer - Foundry Dashboards

SCOR Group

Paris

Hybride

EUR 85 000 - 125 000

Plein temps

Il y a 6 jours
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Résumé du poste

SCOR Group in Paris is seeking a Finance Tech Lead to drive analytics product development on Palantir Foundry, guiding data teams through the full delivery cycle. You will work with business experts to understand processes, translate them into data-driven solutions, build dashboards and workflow apps, and iterate with users to create value in a fast-paced, collaborative environment.

The role emphasizes technical leadership, data modeling, and user-centric product thinking, with responsibilities

Qualifications

  • 5+ years in data modelling and transforming data pipelines.
  • Experience building visualizations and applications.
  • Experience writing high-quality code with Python, Spark and/or SQL.
  • Experience as a technical lead in a product delivery stream.
  • Strong understanding of user journeys and a user-centric design process.
  • Finance/economics understanding; insurance industry experience is a plus.

Responsabilités

  • Act as transversal Tech Lead for Finance products on Palantir Foundry.
  • Engage with product owners to define value from data and analytics.
  • Build dashboards and workflow applications to provide business insights.
  • Collaborate in a cross-functional scrum team to deliver incremental value.

Connaissances

Data modeling
Data transformation
Python
Spark
SQL
Technical leadership
Product management
User-centric design
Cross-functional collaboration

Outils

Palantir Foundry
Python
Spark
SQL

Description du poste

SCOR Group in Paris is seeking a Finance Tech Lead to drive analytics product development on Palantir Foundry, guiding data teams through the full delivery cycle. You will work with business experts to understand processes, translate them into data-driven solutions, build dashboards and workflow apps, and iterate with users to create value in a fast-paced, collaborative environment.

The role emphasizes technical leadership, data modeling, and user-centric product thinking, with responsibilities

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