Data Analyst

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

Résumé du poste

Jobtailor in Paris seeks a seasoned Data Analyst to turn complex data into actionable insights guiding strategic decisions.

You will partner with business teams, collect and clean data, build dashboards, and deliver end-to-end analytics projects using SQL, Python, Tableau and Power BI.

The role requires at least five years’ experience in startup/scale-up settings and the ability to translate business needs into scalable data solutions.

Qualifications

• 5+ years of professional data analytics experience (excl. internships).
• Experience translating business needs into data solutions.
• Proficient in SQL and Python, with data visualization in Tableau/Power BI.

Responsabilités

• Work closely with business teams to understand their needs and provide relevant analyses.
• Collect, clean, and analyze complex datasets.
• Build clear, actionable dashboards and reports.
• Provide data-driven analyses and recommendations to support strategic decision-making.
• Design and implement data solutions to meet specific business needs.
• Manage end-to-end data analysis projects, from design to delivery.

Connaissances

SQL

Python

Data visualization

Tableau

Power BI

Data modeling

Stakeholder collaboration

Outils

Tableau

Power BI

Description du poste

• Work closely with business teams to understand their needs and provide relevant analyses.
• Collect, clean, and analyze complex datasets.
• Build clear, actionable dashboards and reports.
• Provide data-driven analyses and recommendations to support strategic decision-making.
• Design and implement data solutions to meet specific business needs.
• Manage end-to-end data analysis projects, from design to delivery.

Requirements

• A proven track record as a Data Analyst with a minimum of 5 years' professional experience (excluding internships/apprenticeships), preferably in a startup or scale-up.
• Experience collaborating with business teams and translating business needs into data solutions.
• Proficiency with data analysis tools (SQL, Python).
• Experience with data visualization tools (Tableau, Power BI, etc.).
• Knowledge of databases and data modeling techniques.