Business Performance Specialist at Vodafone Ghana

About The Job

Role Purpose
The Business Performance Specialist:

• Using machine learning tools to select features, create and optimize classifiers and carrying out pre-processing of structured and unstructured data.
• Support 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

Key Accountabilities and Decision Ownership:

• Ensure the delivery of accurate, insightful, and timely analysis into the performance of the business.
• Partake in 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
• Provide analytics and insights to the business on consumer behavior
• /usage and the impact of network performance on service revenue and prepare all business forecast.
• Support to 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
• Liaise with product owners, EBU FDS and the Commercial teams to develop profitability models and automate it for decision making
• Analyze aged debt data, to understand customer behavior and liaise with the Credit Control team to develop debt collection strategies
• Provide support to the team in analyzing business performance, trends etc.

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 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.
• Drive:
  • 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.
• Communication:
  • Must be able to communicate confidently both roally and in writing.
  • Presentations to the business is a normal requirement for this role
• Technical and 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)
  • Knowledge in SAP, HFM, SQL, Python, R Tableau and other relevant system software (an advantage)