Product Data Analyst: Shape Strategy with Data

Jobtailor; Paris; Sur place; EUR 55 000 - 75 000; Plein temps

Résumé du poste

Jobtailor in Paris is seeking a Product Data Analyst to translate business needs into actionable analyses and promote a data-driven culture across product teams.

You will build dashboards, collaborate with Analytics Engineers, and provide decision support through data modeling and reporting. The role emphasizes data quality, experimentation, and the ability to manage multiple projects in a fast-paced startup environment.

Qualifications

• Minimum 5 years as a Data Analyst (excluding internships).
• Experience translating business needs into analyses.
• Proficient in SQL and Python.
• Experience with Tableau, Power BI, Metabase.
• Knowledge of databases and data modeling.
• Experience with product analytics tools like Amplitude, Mixpanel, Heap is a plus.
• Experience with experimentation and A/B testing.
• Analytical and detail-oriented mindset.
• Excellent communication and teamwork skills.
• Ability to manage multiple projects and meet deadlines.

Responsabilités

• Build clear dashboards and reports focused on product KPI tracking.
• Collaborate with product teams to understand needs and deliver analyses.
• Identify data-driven optimization levers and provide recommendations.
• Support data quality and data modeling in collaboration with Analytics Engineers.
• Automate data collection and analysis processes.
• Manage data analysis projects end-to-end from design to delivery.

Connaissances

SQL

Python

Data visualization

Analytical thinking

Stakeholder management

Communication

Team collaboration

Curiosity

Outils

Tableau

Power BI

Metabase

Amplitude

Mixpanel

Heap

Description du poste

Jobtailor in Paris is seeking a Product Data Analyst to translate business needs into actionable analyses and promote a data-driven culture across product teams.

You will build dashboards, collaborate with Analytics Engineers, and provide decision support through data modeling and reporting. The role emphasizes data quality, experimentation, and the ability to manage multiple projects in a fast-paced startup environment.