VdE | Analista de dados| ENGIE Energy
About ENGIE Energy Access
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 1,800 employees, operations in nine countries across Africa (Benin, Côte d’Ivoire, Kenya, Mozambique, Nigeria, Rwanda, Tanzania, Uganda and Zambia), over 1.9 million customers and more than 9 million lives impacted so far, ENGIE Energy Access aims to impact 20 million lives across Africa by 2025.
www.engie-energyaccess.com
www.linkedin.com/company/engie-africa
Job Purpose/Mission
- With EEA selling the lion share of its products on credit to hundreds of thousands of individual customers per annum, EEA’s Credit function plays a primary role in the success of the business. In this context, the Customer Finance function provides pro-active, state-of-the-art support to EEA’s operations ranging from credit product design to workflow enhancement guidance, portfolio management tools, risk mitigation techniques, default projection and compliance views.
- Under guidance of the Head of Data Analytics (or Head of Customer Finance), our Data Analysts play a key role in advancing EEA’s credit function by supporting, directly or indirectly, decision makers within and beyond Customer Finance with real-time and right-sized data analysis and actionable recommendations to improve the credit function’s performance.
- Functionally, our Data Analysts are responsible for helping draw powerful insights for action from EEA’s unique, extensive, and rich data marts on customers, products and markets, and for driving improvements in EEA’s approach to data gathering, analytics, and visualizations. Analyses will be in support of credit operations, credit risk management, as well as for dashboards and processes of adjacent functions.
- Like all Customer Finance (Credit) staff, our Data Analysts are fully familiar with the steps and stages of EEA’s credit cycle, which encompasses customer vetting, underwriting, onboarding, portfolio monitoring, accounts, and arrears management through to the repossession of collateral in case of customer default, and constantly strive to improve the effectiveness and efficiency of the Customer Finance operations at EEA.
Responsibilities
- 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 to enhance EEA’s understanding and visibility into customer performance.
- Business Strategy 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.
- Credit Matrix/performance: Monitor performance and report on performance of all Customer Finance activity.
- Stakeholder Alignment: Work closely with Commercial, Customer Experience and Customer Finance teams to align on ambitious but achievable targets for Customer Finance activities in and out of the field.
- Field Outcomes: Work closely with the CF (Field) Specialist and Track Customer finance initiatives, ad hoc and pilot projects, field team activities, and compensation.
Experience And Skills
Qualifications:
- University degree in 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 (including query in SQL), financial analysis or a related field.
- Experience with code or query in SQL and additional Python skills. Experience with Tableau 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.
Language(s):
- Portuguese
- English is a plus
Technology:
- Ability to code or query in SQL and additional Python skills, as well as Tableau.
- Familiarity with standard office software packages (advanced excel and power point skills is a plus).
- Ability to create dashboards and expert presentations in the chosen data visualization tool (Tableau).
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
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