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6 Feb 2023

Performance Analytics and Insight Manager at Vodafone Ghana

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Job Description

The Performance Analytics and Insight Manager:

  • Using machine learning tools to select features, create and optimize classifiers and carrying out pre-processing of structured and unstructured data
  • Supervise the delivery of accurate, insightful, and timely analysis into the performance of the business
  • Weekly business rolling forecast inputs and actuals tracking
  • Employs the innovative use of technology to automate and improve the quality, relevance, and timely generation of reports and dashboards
  • Demand management
  • Provide automated reports & visualizations for financial and non-financial reporting
  • Support in Internal Management data & reports
  • Support in the data analytics for budgeting and planning
  • Work closely with the Finance Business Partners and Commercial Analyst for all their data requirements
  • Drive continuous improvement to create efficiencies in service delivery

Job Responsibility
Key accountabilities and decision ownership:

  • Supervise the delivery of accurate, insightful, and timely analysis into the performance of the business
  • Lead projects using advanced data modelling and analysis techniques to discover insights that will guide strategic decisions and uncover optimization opportunities
  • Work closely with the Finance Business Partners and Commercial Analyst for all their data requirements
  • Lead and manage all organization-wide data governance activities and will have responsibility for improving the quality and managing the protection of sensitive data and information assets
  • Provide analytics and insights to the business on consumer behaviour /usage and the impact of network performance on service revenue and prepare all business forecast
  • Provide data and insights to the commercial business units and finance decision support teams to aid in conducting post-implementation reviews on newly launched products
  • Propose solutions and strategies to business challenges and lead the documentation and maintenance of business reporting definitions
  • Data mining or extracting usable data from valuable data sources and processing, cleansing, and validating the integrity of data to be used for analysis
  • Analyzing large amounts of information to find patterns and solutions and Developing prediction systems and machine learning algorithms

Core competencies, knowledge, and experienceLeadership and teamwork

  • Must be able to work effortlessly within the team and across the business to drive discussions on business 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 reports to generate actionable insights


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

Technical Competence

  • Good applied statistical skills, including knowledge of statistical tests, distributions, regression, maximum likelihood estimators, etc. Proficiency in statistics is essential for data-driven decision making
  • Must have strong analytical, conceptual, and problem-solving abilities
  • Must possess excellent attention to detail
  • Proven experience using excel
  • Experience using business intelligence tools (e.g. Tableau)
  • An understanding of budgeting procedures, methods and evaluation criteria


  • 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 the Financial teams within the business

Must have technical / professional qualifications:

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

Method of Application

Submit your CV and Application on Company Website : Click Here

Closing Date : 25th Feb, 2023

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