Data Analyst (33732)

Eni Deutschland GmbH; Paris; Hybride; 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

Job title: DATA ANALYST
Location: Paris, France
Job reference #: 33732
Contract type: Permanent
Language requirements: Fluent in French and English

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.

About Plenitude

Plenitude is an energy company that integrates the retail business and renewable generation with self-consumption and electric mobility solutions, providing energy and gas to more than 10 million homes and businesses across Europe, which offers a range of great professional opportunities for the whole team. This partnership represents a major European project integrating the renewable energy business with the retail business, which will enable us to progressively increase our offering of services, infrastructure, and green energy for our customers, providing our team with greater visibility and professional growth.

Main responsibilities

• 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.

Skills and experience required

• 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.

About Eni

Eni is a global energy company operating in 61 Countries, with over 30,000 employees. Originally an oil & gas company, it has evolved into an integrated energy company, playing a key role in ensuring energy security and leading the energy transition. Eni's goal is to achieve carbon neutrality by 2050 through the decarbonization of its processes and of the products it sells to its customers. In line with this goal, Eni invests in the research and development of technologies that can accelerate the transition to increasingly sustainable energy. Renewable energy sources, bio‑refining, carbon capture and storage are only some examples of Eni's areas of activity and research. In addition, the company is exploring game‑changing technologies such as fusion energy – a technology based on the physical processes that power stars and that could generate safe, virtually limitless energy with zero emissions.

Working at Eni

At Eni we believe in enterprising people, capable of making a difference and making their contribution with passion and innovation, to respond to the global challenges of the energy transition. For us, the skills and attitudes of each individual, continuous training, and diversity and inclusion are fundamental. We promote flexible ways of working with particular attention to well‑being, welfare and work life-balance. Eni will evaluate applications considering plurality and diversity as sources of enrichment. If your application is assessed to be among those most in line with the required profile, you will be contacted to continue the selection process. Whatever your ambition, at Eni you can find the tools to make it happen.

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