PROFILE
Education Level: Bachelor’s degree (or equivalent) in Data Analytics, Engineering, or a related field; at least 1 to 3 years of professional experience in a similar role, with a strong focus on data management.
MAIN MISSION
The Data-Oriented PMO Assistant supports project management by monitoring key performance indicators and analyzing data related to project performance. They participate in the implementation of decision-making processes and tools. This position combines project management with a strong data analysis and management component.
MAIN RESPONSIBILITIES
►Assist in data collection from various sources (databases, files, APIs, etc.).
Perform basic analyses to explore trends and patterns in the data under the supervision of more experienced data analysts.
►Assist in the creation of simple reports and visualizations to present analysis results (tables, graphs, etc.). ►Work with management and analytical decision-making tools, such as providing support in more complex data analysis projects, assisting with data organization and structuring; collect and analyze project data (planning, budget, resources, risks) to provide regular performance reports.
►Participate in updating and optimizing project management and digitization tools.
Ensure the centralization of information in shared databases.
►Contribute to the implementation of proactive risk management by identifying potential risks through data analysis.
►Collaborate with project managers for the collection and updating of necessary data;
ensure smooth communication between technical teams, stakeholders, and management.
SKILLS
Technical Skills
Proficiency in project management tools (MS Project, Trello, etc.); advanced data analysis skills
(Qlick Sense, Power BI, Tableau), analytical skills and ability to interpret data, knowledge of databases and database management tools (SQL, Google Sheets)
Professional Environment Skills
Rigor; Autonomy; Analytical skills; Sense of confidentiality; Personal qualities; Customer service orientation; Persuasiveness; Adaptability; Thorough understanding of microfinance operations; Thorough knowledge of partner operations; Good ability to identify anomalies
HOW TO APPLY?
Send your CV to the following address
pmoeugsa@expressunion.net aazeufack@expressunion.net
DEADLINE FOR SUBMISSION OF FILES 15/02/2026 AT 5:30 PM.
THE HUMAN RESOURCES, PAYROLL, TALENT, CAREERS DIVISION
