Responsible for driving the transition from traditional reporting to a predictive, AI-led data-driven culture. This
role aims to improve business decision-making by centralizing data silos into a “Single Source of Truth,” enhancing data literacy
across the organization, and utilizing advanced analytics to identify revenue growth opportunities and operational efficiencies.
Functional Outputs/Activities per key performance area:
Data-Driven Culture Leadership: Lead the implementation of the Data Driven Culture Roadmap 2026-2027 using the
Kotter 8-Step Model for change management.
Predictive Analytics & AI: Develop and deploy Machine Learning models for demand forecasting, price elasticity, and
churn prediction to drive strategic revenue initiatives.
Insight Stewardship: Manage the “Insight of the Month” program and “Data Jams” to solve business bottlenecks and
reward data-led cost savings.
Data Literacy & Capacity Building: Design and execute persona-based training to improve staff data proficiency across all
departments.
Reporting Excellence: Maintain the Power BI “Insights Hub,” ensuring all strategic meetings utilize validated data from the
Centralized Corporate Data Lakehouse.
Automation: Implement automated “Data Gatekeepers” and ML-driven anomaly detection to ensure 99% data reliability
and accuracy.
Financial Management
Revenue Growth Management: Utilize Trade Promotion Optimization (TPO) to identify activities that drive
incremental volume vs. those that dilute margin.
Budgeting: Provide data-backed inputs into departmental budgets and monitor ROI on data infrastructure
investments.
Cost Optimization: Identify SKU rationalization opportunities and supply chain inefficiencies through product value
analysis.
Risk Management
Data Governance: Identify risks related to data privacy and security, ensuring compliance with Uganda’s Data
Protection and Privacy regulations.
Validation Rules: Implement hard-coded validation in ERP/SFA systems to mitigate the risk of “garbage in, garbage
out.”
Compliance
Regulatory Adherence: Ensure all data handling processes meet local and international regulatory standards inclusive
of Data Protection and Privacy Act of Uganda, General Data Protection Regulation (GDPR) etc.
Policy Alignment: Ensure adherence to all Movit Group and In-Country Policies, specifically regarding the Enterprise
Data and Analytics Framework.
Minimum Qualification Requirements:
Bachelor’s degree in Statistics, Data Science, Economics,
or a related quantitative field.
Certification in Business Intelligence (e.g., Power BI,
Microsoft Fabric) or Data Science is preferred.
Related Minimum Experience:
3 to 5 years of relevant experience in data
analytics or business analysis, preferably within an
FMCG industry.
Proven track record of managing data migration
projects or implementing BI solutions
