Data Analyst: Cross-Functional Insights & Dashboards (Paris)

Eni Deutschland GmbH; Paris; Sur place; EUR 45 000 - 65 000; Plein temps

Résumé du poste

Eni is seeking a Data Analyst to join Eni Plenitude France in Paris. You will transform data into insights to drive business performance across Marketing, Finance, Sales, Operations and Customer Service, delivering dashboards and analyses that support strategic decisions and improve customer experience.

You will collaborate with cross-functional teams, apply Power BI, SQL, Python and R to build dashboards, KPIs and predictive models, and promote a data-driven culture across the organization in a

Qualifications

• Bachelor's or Master's degree in Data Science or related field.
• Strong proficiency in Power BI for dashboards.
• Solid SQL, Python and R skills.
• Experience with Big Data / Cloud environments is a plus.
• Proven ability to derive actionable insights from data.
• Fluent in English; French is a plus.
• Team-oriented and able to communicate across departments.

Responsabilités

• Collect, transform and structure data from internal and external sources.
• Analyze data to identify trends and drivers of performance.
• Create interactive dashboards and KPIs in Power BI.
• Develop models, forecasts and predictive analyses.
• Provide recommendations to improve marketing and customer experience.
• Collaborate with IT and data science teams to meet analytical needs.
• Promote data-driven decision making across the business.

Connaissances

Power BI

SQL

Python

R

Big Data / Cloud

Analytical thinking

English fluency

French plus

Formation

Bachelor's or Master's in Data Science

Statistics

Computer Science

Economics

Outils

Azure

AWS

GCP

Description du poste

Eni is seeking a Data Analyst to join Eni Plenitude France in Paris. You will transform data into insights to drive business performance across Marketing, Finance, Sales, Operations and Customer Service, delivering dashboards and analyses that support strategic decisions and improve customer experience.

You will collaborate with cross-functional teams, apply Power BI, SQL, Python and R to build dashboards, KPIs and predictive models, and promote a data-driven culture across the organization in a