The Role
Generates actionable analytics for Telecel Cash by building dashboards, analyzing customer and commercial performance, forecasting results, and identifying growth opportunities. The role uses SQL, statistical methods, predictive modeling, and visualization tools to support planning, profitability, product adoption, and operational decisions while maintaining data quality and collaborating across business functions.
Summary Generated by Built In
Role Purpose
This position is dedicated to generating actionable, data-backed intelligence that fuels the expansion, financial success, and operational excellence of the Telecel Cash division. The incumbent will translate intricate datasets into strategic business insights, facilitating precise performance tracking, forecasting, and reporting. By converting raw information into clear directives, the role empowers leadership to make informed decisions, uncover efficiency gains, and achieve critical commercial and strategic milestones.
Key Responsibilities
- Generate and disseminate precise, timely, and actionable performance analytics to guide both strategic planning and daily operational choices within the Telecel Cash ecosystem.
- Design, automate, and sustain comprehensive dashboards and reporting frameworks that offer real-time visibility into product metrics, revenue streams, transaction volumes, customer behaviors, merchant activity, and agent performance.
- Execute deep-dive analyses across business segments, products, and customer bases to pinpoint expansion avenues, enhance user engagement, drive product adoption rates, and optimize revenue generation strategies.
- Leverage statistical methods, predictive modeling, and forecasting tools to assist in business planning, profitability evaluations, and scenario-based analysis.
- Collaborate closely with Product, Commercial, Finance, Risk, Technology, and Operations departments to deliver evidence-based recommendations and assess the outcomes of business initiatives, marketing campaigns, and new product launches.
- Uphold rigorous standards for data integrity, ensuring consistency, accuracy, and reliability across all analytical outputs and business intelligence reports.
Requirements
Qualifications
& Experience
- Bachelor's degree
in Statistics, Mathematics, Computer Science, Economics, Finance,
Accounting, Information Systems, or a related quantitative discipline.
- Minimum of 3
years' experience in data analytics, business intelligence, performance
reporting, or commercial analytics.
- Experience within
Mobile Money, Financial Services, Fintech, Telecommunications, or Digital
Payments is highly desirable.
- Strong
understanding of Mobile Money products, customer behavior, transactional
ecosystems, and commercial performance drivers.
Technical
Competencies
- Strong proficiency
in SQL for data extraction, transformation, and analysis.
- Proficiency in
Python, R, or similar analytical programming languages.
- Hands-on
experience with business intelligence and visualization tools, including
Tableau and/or Power BI.
- Strong
understanding of statistical analysis, forecasting, data mining, and
predictive modelling techniques.
- Advanced Microsoft
Excel skills and experience working with large and complex datasets.
- Understanding of
data warehousing concepts, data quality management, and analytics best
practices.
Skills Required
- Bachelor's degree in Statistics, Mathematics, Computer Science, Economics, Finance, Accounting, Information Systems, or a related quantitative discipline
- At least 3 years of experience in data analytics, business intelligence, performance reporting, or commercial analytics
- Experience in Mobile Money, Financial Services, Fintech, Telecommunications, or Digital Payments
- Strong understanding of mobile money products, customer behavior, transactional ecosystems, and commercial performance drivers
- Strong proficiency in SQL for data extraction, transformation, and analysis
- Proficiency in Python, R, or similar analytical programming languages
- Hands-on experience with Tableau and/or Power BI
- Strong understanding of statistical analysis, forecasting, data mining, and predictive modeling techniques
- Advanced Microsoft Excel skills and experience working with large and complex datasets
- Understanding of data warehousing concepts, data quality management, and analytics best practices
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The Company
What We Do
A digital and communications solutions provider - mobile, fixed lines, internet, voice and data and second-ranked mobile operator in Ghana.
