Working Student Data Analytics
Working Student Data Analytics
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Job Description
Job Title:
Working Student Data Analytics/Credit
Location
Berlin Germany
Reporting line:
Head of Data Analytics
About ENGIE Energy Access (EEA)
ENGIE Energy Access is the leading Pay-As-You-Go (PAYGo) and mini-grids solutions provider in Africa. The company develops innovative off-grid solar solutions for homes public services and businesses enabling customers and distribution partners access to clean affordable energy. The PAYGO solar home systems are financed through affordable instalments from $0.19 per day and the mini grids foster economic development by enabling electrical productive use and triggering business opportunities for entrepreneurs in rural communities. With over 1700 employees operations in nine countries across Africa (Benin Cte dIvoire Kenya Mozambique Nigeria Rwanda Tanzania Uganda and Zambia) over 1.6 million customers and more than 8 million lives impacted so far ENGIE Energy Access aims to impact 20 million lives across Africa by 2025.
We are looking for a motivated Working Student Data Analytics to join our Customer Finance Department as soon as possible and support our credit team with data-driven insights.
As part of the Customer Finance Data Analysis team you will work with experienced analysts to explore EEAs rich datasets uncover credit trends improve reporting processes and help stakeholders make data-informed decisions particularly in areas related to portfolio performance credit assessment customer repayment behaviour and portfolio management.
Key Responsibilities
- Support the team in gathering cleaning and structuring datasets from diverse internal and external sources to ensure data readiness for analysis.
- Assist in the preparation of analytical reports and executive presentations translating complex data into clear concise narratives.
- Perform in-depth exploratory data analysis to uncover trends patterns and actionable insights that inform strategic decision-making.
- Extract and interpret data related to customer credit performance identifying key indicators and presenting findings to enhance business visibility and risk assessment.
- Design and develop interactive dashboards and visualizations using tools such as Excel and Tableau to communicate insights effectively.
- Collaborate with cross-functional teams to understand data requirements and deliver tailored analytical solutions.
- Contribute to the documentation of data processes and support initiatives to uphold data quality consistency and integrity.
Knowledge and skills
Experience:
- Ideally first experience in data analytics financial analysis or related disciplines.
- Demonstrated strong analytical acumen with the ability to interpret and synthesize both qualitative and quantitative data.
- Exceptional attention to detail and a high degree of intellectual curiosity consistently validating data and questioning assumptions to ensure accuracy and insight.
- Proficient in data analysis tools and languages including Excel SQL and business intelligence platforms such as PowerBI and Tableau.
- Ability to collaborate cross-functionally effectively engaging with diverse teams to understand business needs and deliver data-driven solutions.
- Self-motivated and adaptable with a proactive approach to learning and thriving in dynamic fast-paced environments
Qualifications:
- Currently pursuing a masters degree in a relevant discipline such as Economics Accounting Data Science Statistics Finance or Mathematics.
- Additional certifications in areas like Data Analytics Risk Management or related specializations are considered a strong asset.
Language(s):
- English
- French or Portuguese are a plus
Students who are employed follow an on-site work model necessitating their presence at the office during work hours
We thank all applicants for their interest however due to the large volume of applications we receive only shortlisted candidates will be contacted.
ENGIE is an equal opportunity employer promoting diversity and committed to creating an inclusive environment for all. All applications are screened based on business needs job requirements and individual qualifications without any regard to origin age name sexual identity orientation or preference religion marital status health disability political opinions union involvement or citizenship. Our differences are our strengths!
Employment Type
Part-Time
