Job Summary Key Responsibilities:
- Collect, clean, verify, and manage large datasets from multiple sources.
- Apply statistical models and machine learning algorithms to generate actionable insights.
- Design and build analytical solutions to support business needs.
- Develop and maintain dashboards and reports using Power BI and Excel.
- Engage with stakeholders to define KPIs and reporting requirements.
- Enhance data governance, data monetization, and machine learning processes.
- Present data-driven insights and recommendations to business leaders.
- Work closely with data stewards and technical teams to optimize data access and structures.
- Support business decision-making by analyzing trends in financial and operational data.
Required Qualifications & Skills:
- Education: BSc Honours in Applied Statistics or a related field (Mathematics, Data Science, or Computer Science).
- Technical Skills:
o Programming & Data Analytics: Python, R, SQL, SAS, C++, Java, SSRS, SSAS, SSIS.
o Data Visualization & BI Tools: Power BI, Excel.
o Statistical & Quantitative Analysis: Machine learning, predictive modeling, data interpretation.
- Soft Skills: Strong analytical mindset, problem-solving ability, excellent communication skills, and effective time managementPreferred Experience:
- Telecommunications industry experience is a plus.
- Experience in predictive modelling and business forecasting.
- Prior exposure to data governance and monetization strategies.Network ContractingRecruiter
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