Data Analyst Job at ENGIE - Kescholars.com

Data Analyst Job at ENGIE… See details on how to apply for the opportunities available at ENGIE.

Descriptions;

ENGIE is a leading world group that provides low-carbon energy. Our group is a global reference in low-carbon energy and services.

Data Analysis: Conduct rigorous data analysis, modelling, and visualizations to inform decisions around customer finance workflow, operational strategy, credit risk appetite, sales and pricing strategies.
Standard Reporting: Support and in some cases lead the development of standard and ad-hoc Customer Finance reporting needs by summarizing loan portfolio performance and country operational performance against key KPIs for audiences including but not limited to Country Teams, the Leadership Team, Industry Partners and Investors.
Data Warehousing: Work closely with EEA’s Data Team to maintain and optimize data warehousing to support swift data analytics, modeling, and archiving across the Customer Finance function, including mining, cleaning, and validating data in preparation of analysis.
Data Sourcing: Source data from various internal and external sources, interpret patterns and trends, and present findings in reports in an effort to enhance EEA’s understanding and visibility into customer performance.
Internal Support: Support strategic planning, modelling, budgeting and forecasting related to EEA’s credit operations both on consolidated as well as on Country, Product or other granular level.
Training: Provide training and coaching on methods, tools, and templates to Country Team members.

Qualifications:

University degree in a relevant analytics subject e.g. statistics, finance, economics, mathematics, information management, data science, or computer science.
Certification in a relevant topic (e.g. data analytics, risk management, programming) is a plus.

Experience:

2+ years of professional experience in data analytics, financial analysis or a related field; work experience in Sub-Saharan Africa or in the off-grid energy sector is a plus.
Keen eye for detail coupled with a high degree of professional curiosity and thoughtful investigation of data before relying upon it.
High level of competency with analysis and interpretation of qualitative and quantitative data.
Mature profile with commercial acumen and a can-do-attitude combining output orientation, number orientation, customer orientation and process orientation.
Familiarity with typical income, expenditure and cash-flow patterns of rural and peri-urban households and micro enterprises that constitute the EEA customer base is a plus.