Data Analyst at Vodafone Ghana

About the job
Description 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 derive 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 good understanding of 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