Specialist BI M-pesa S&D
Maputo, MZ
Vodafone
Vodafone is a leading technology communications company in Europe and Africa, keeping society connected and building a digital future. Find out more!O que irá fazer
Role purpose:
To deliver business intelligence and assurance activities from M-Pesa data sets with remarkable high standards that will constantly support M-Pesa business excellence and growth.
Key accountabilities and decision ownership:
• Analyse complex datasets to provide business insights, trends and performance metrics.
• Develop and maintain dashboards, reports and visualizations using BI tools such as power BI and Tableau.
• Ensure data accuracy and integrity across all reports and data sources.
• Collaborate with all the relevant stakeholders to ensure smooth functioning of data pipelines, ETL (extract, transform, load) processes and data warehousing.
• Work closely with sales team (agents and merchants) to understand business needs and translate them into technical requirement for BI solutions.
• Present findings and insights to the stakeholders in a clear and concise manner, using data visualizations and reports.
• Provide recommendations to management based on data-driven analysis.
Core competencies, knowledge and experience:
• Microsoft Suit (Access, Excel, PPT, Visual Basic, Projects, Visio).
• Fluent in English and Portuguese.
• Strong analytical skills into business context are required.
• SQL, Python or R for data analysis
• Experience with data visualization tools (e.g., PowerBi, Qliksense, Tableau).
• Experience with GSM voice, data and mobile money technologies as well as operations, products and services is desirable;
• Strong attention to detail and focus on data accuracy.
Must have technical / professional qualifications:
• Degree In Computer science
• Minimum of 3 years’ experience in BI, data analysis or data science role.
• Minimum of 2 years’ experience in Data ETL.
• Minimum of 2 years’ experience in Management Reporting.
• Certification in Data Analysis/BI is desirable.
Key performance indicators :
• Define track KPI’s to measure the effectiveness of business strategies and operations.
• Regularly review and update metrics as needed to reflect changing business conditions.
• Recommend and implement solutions that improve efficiency, reduce costs or enhance Super agents and agents experience.
* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰
Tags: Business Intelligence Computer Science Data analysis Data pipelines Data visualization Data Warehousing ETL Excel KPIs Pipelines Power BI Python R SQL Tableau
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