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# Data Analyst

- **Company:** ENI France
- **Location:** Levallois-Perret, France
- **Contract:** Permanent contract
- **Skills:** Amazon Web Services, Data Analysis, Microsoft Azure, Big Data, Data Visualization, R (Programming Language), Python (Programming Language), Power BI, SQL Databases, Google Cloud, Cloud Platform System, Information Technology
- **Published:** September 17, 2026
- **Apply:** https://www.indeed.com/viewjob?jk=3f3a645f8be040cc

## About the Role

* Bachelor's or Master's degree (BSc/MSc) in Data Science, Statistics, Computer Science, Economics, or a related field.
 * Proficiency in data visualisation tools, particularly Power BI.
 * Good knowledge of data analysis languages and tools, including SQL, Python and R.
 * Experience with Big Data and/or Cloud environments (Azure, Google Cloud Platform or AWS) would be an advantage.
 * Significant experience in data analysis.
 * Strong analytical skills, attention to detail and intellectual curiosity.
 * Ability to translate complex analyses into clear, meaningful and impactful insights for different audiences.
 * Collaborative mindset and ability to work effectively across multiple functions.
 * Well-organised, self-motivated and capable of managing priorities independently.
 * Results-oriented, with strong influencing and communication skills.
 * Fluent in English.

## Description

At Eni , we are looking for a Data Analyst to join Eni Plenitude France . In this role, you will work closely with cross-functional teams, including Marketing, Finance, Sales, Operations and Customer Service, to transform data into actionable insights that drive business performance. You will play a key role in analysing, interpreting and enhancing data to support commercial growth, optimise the customer experience, address business needs and enable strategic decision-making, ultimately contributing to the company's operational efficiency and long-term success., * Data Collection and Processing : Extract, transform and structure data from a variety of internal and external sources.

 * Data Analysis : Conduct quantitative and qualitative analyses to identify trends, customer behaviours and performance drivers.
 * Data Visualisation and Reporting : Develop and maintain interactive dashboards (Power BI) and establish and monitor business KPIs.
 * Advanced Analytics : Contribute to the development of models, forecasts and predictive analyses.
 * Optimisation and Recommendations : Provide actionable insights to improve processes, marketing campaigns and the customer experience.
 * Cross-Functional Collaboration : Work closely with technical teams, including IT, developers and data scientists, while partnering with business departments to understand analytical needs and business objectives.
 * Data Culture : Promote data-driven decision-making and support internal teams in the effective use of data and KPI management.


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