Data Analyst at Vodafone Ghana

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