Alternant Specialiste BI Data analyst
Courbevoie, FR, 92400
ENGIE
ENGIE relève le défi de la transition énergétique à travers ses trois métiers : électricité, gaz naturel et services à l’énergie.
Apprenticeship BI Data analyst
Renewables Global Business Unit (R-GBU) is supporting the Group to accelerate Renewables (RES) asset development with an EBIT around €1.2 Bn end of 2021. We count 4,900 employees and more than 50 nationalities across 20 countries. With an installed capacity of 36 GW end of June 2022 across 4 Operational Areas, R-GBU manages a diversified portfolio of assets including Solar (4.6 GW), Wind (13.7 GW) and Hydro (17.9 GW) assets. Our ambition is to multiply by more than 2 our installed capacity with 80 GW in 2030.
Essential job functions:
The roles and responsibilities assigned to the BI Data analyst are to :
- support the Business Data team, to work on the redesign and optimization of existing reports in order to make the visualization of data clearer and more readable
- Develop new advanced dashboards, using Power BI, under the responsibility of the data analytics manager and with a string collaboration with our final users
- Respect the visual identity of reports (color, template, renew logo, etc.)
- Be proactive and share best practices on Power BI, Power apps, Python, etc.
- Data engineering : Participating in the phase of data preparation by writing Python scripts in order to clean, map, mix, and put in the right format the raw data coming from different sources.
- Write documentation : outlines the methodology and the results of the data analytics projects, including key insights and recommendations for future analysis.
Team and work environment:
This role is part of the Business Data Team of the RGBU. The team’s main goal and mission is to build the RGBU data reference platform containing validated information of all GWs from Development to Operations, used by 60% of the Extended Leadership Team of the RGBU (“XLT”) on a monthly basis by end of Q1 2024.
The role is based in Paris and reports to the Data analytics manager.
Interactions:
Internal interfaces:
- at Group level: Regular exchanges with our final users across the world;
- at R-GBU level: Different Teams dealing with operations (Development, construction, Maintenance, etc.)
- at country level: Local Teams
External interfaces: NA.
Job advantages:
- Professional Development: This role allows the candidate to develop their skills in data analysis and learn new tools and techniques (Palantir, Power BI, Python, Data analytics, dashboarding) under the guidance of experienced professionals. The candidate can also learn how to work with real-world data, which can be valuable in their future career.
- Industry Exposure: This role provides exposure to the Renewable energy world and allows the candidate to gain insights into the workings of the organization. The candidate can learn how to work with different international teams, understand the business requirements, and develop solutions to meet those requirements.
- Networking Opportunities: A trainee role allows the candidate to meet and work with professionals from different countries, departments and roles. This can help the candidate build a network of contacts that can be useful in their future career.
- Hands-On Experience: This role provides the candidate with practical, hands-on experience in data analysis.
Required qualifications:
Mandatory pre-requisites:
- Education : University degree or equivalent in IT, Business intelligence or Data analytics or Data science.
- Experience : A first experience (training) in a data related field is a big plus
- Mastering Power BI and a programming language is required; Mastering Power Apps and Power platform is a big plus.
- Languages (Good level in English and French)
Hard skills / specific knowledge:
- English : Good level
- Power BI, Power apps
- Python (pyspark, pandas, numpy, streamlit, plotly, etc.);
- Ability to challenge, advise and remotely interact with country teams
Soft skills:
- Communication: As a BI Analyst, you need to be able to explain complex data in simple terms to non-technical stakeholders.
* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰
Tags: Business Intelligence Data analysis Data Analytics Engineering NumPy Pandas Plotly Power BI PySpark Python R Streamlit
Perks/benefits: Career development
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