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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
â–ºAssist 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.
â–ºAssist in the creation of simple reports and visualizations to present analysis results (tables, graphs, etc.). â–ºWork 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.
â–ºParticipate in updating and optimizing project management and digitization tools.
Ensure the centralization of information in shared databases.
â–ºContribute to the implementation of proactive risk management by identifying potential risks through data analysis.
â–ºCollaborate 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

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