Job Vacancy For MIS Data Science Analyst
Telecel Ghana
- Accra
- Permanent
- Full-time
- Enhance data collection frameworks to ensure comprehensive and accurate data capture for analytics and reporting systems.
- Apply machine learning techniques to perform feature selection, model development, and optimization, including preprocessing of structured and unstructured data.
- Automate and improve the quality, relevance, and timeliness of reports and dashboards using innovative technologies and tools.
- Lead continuous improvement initiatives to increase efficiency and effectiveness in service delivery and data operations.
- Conduct month-end validation of revenue (Prepaid, Post-paid, Hybrid MRCs, ADSL, Interconnect, Vodafone Cash) and direct costs (Interconnect Local & International), comparing results with Revenue Assurance and escalating discrepancies exceeding defined thresholds for resolution.
- Design, develop, and maintain a machine learning-driven Prepaid and Hybrid Upsell Model to identify and capitalize on growth opportunities with existing customers.
- Utilize advanced data modeling and analytical techniques to uncover insights that inform strategic decisions and operational optimizations.
- Deliver timely, accurate reports and performance insights using BI tools, ensuring alignment with business reporting timelines.
- Provide data-driven analysis on consumer behavior, usage patterns, and the impact of network performance on service revenue; support the preparation of business forecasts.
- Supply high-quality data and insights to the Finance Decision Support teams (CBU & EBU) to support new product development, portfolio rationalization, and strategic planning.
- Support post-implementation reviews for newly launched products by delivering data and analytical insights to commercial business units and finance teams.
- Partner with the Technology Finance Decision Support team to generate actionable insights on cell site profitability and monitor regional performance trends.
- Develop and maintain an enterprise inventory of information maps, including authoritative systems, data owners, and governance structures.
- Bachelor's degree in Accounting, Finance, Engineering, Computer Science, Mathematics/Statistics, or Actuarial Science.
- Proven experience in data analytics, machine learning, or a related field, with a strong foundation in statistical modeling and data processing.
- Proficiency in AI/ML frameworks, SQL, Python, R, Power BI, Tableau, SAP, and HFM.
- Experience in the telecommunications industry is advantageous, including familiarity with telecom revenue streams and operational metrics.
- Demonstrated ability to work collaboratively across teams and drive performance discussions with business stakeholders.
- Strong initiative, proactive mindset, and ability to anticipate team needs and deliver solutions independently.
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