Data Analyst - Vodafone Ghana

The Data Analyst:

• Undertake the delivery of accurate, insightful, and timely analysis into the performance of the Vodafone cash business
• Employs the innovative use of technology to automate and improve the quality, relevance, and timely generation of reports
• Navigates large sets of data and derives meaning to deliver insights to stakeholders

Job Responsibility

Key accountabilities and decision ownership:

• Support cross-functional projects using advanced data modelling and analysis techniques to discover insights that will guide strategic decisions and uncover optimization opportunities
• Support the design and delivery of reports and insights that analyse business functions and key operations and performance metrics using available BI tools
• Leverage on available data and new data sources to advice and drive Vodafone Cash business
• Make use of predictive models to assist with business forecasting
• Carry out Business and Product performance analytics and monitoring with focus on profitability
• Ensure a high level of data quality for all reporting and analysis

Core competencies, knowledge, and experience:

Leadership and teamwork

• Must be able to work effortlessly within the team and across the business to drive discussions on performance
• Must show initiative and anticipate the needs of the team and work proactively to deliver the necessary support

Innovation and change

• Must have a natural inclination for seeking out new ideas and opportunities
• Should exhibit creativity in approaching everyday challenges in the workplace
• Design, automate and disseminate interactive business dashboards to generate actionable insights

Drive

• Must be able to plough through challenges and see all tasks to their conclusion
• Constructively challenge and assist Product development teams with data and insights to manage customer base, reduce churn and develop exciting products

Technical Competence

• Must have strong analytical, conceptual, and problem-solving abilities
• Must possess excellent attention to detail
• Proven experience and a good understanding of the mobile money ecosystem
• Understanding of machine learning and data mining
• Knowledge of R, SQL, and Python
• Experience using business intelligence tools (e.g. Tableau)

Communication

• Must be able to communicate confidently both orally and in writing. Presentations to the business is a normal requirement for this role
• Must have good interpersonal skills to support working closely with other teams

Must have technical/professional qualifications:

• A Bachelor’s degree in Accounting, Finance, Computer Science or Mathematics
• Prior experience in the telecoms industry (an advantage but not required)
• Knowledge of revenue streams within the telecoms industry (an advantage but not a requirement)
• Knowledge in SQL, Python, R , Power BI, Tableau and other relevant system software