Job Description
Job Title: Performance Analytics and Insight Manager
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 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 the 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 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)