· Own and continuously enhance end-to-end EBU performance dashboards covering revenue, pipeline, funnel conversion, ARPU, retention, and product performance.
· Integrate sales funnel analytics (pipeline → closure → revenue realization) to support enterprise growth.
· Provide variance analysis with clear commercial drivers and risk/opportunity identification.
· Deliver standardized and automated reporting packs for EXCO, Group, and regulatory stakeholders.
· Conduct deep-dive analytics on customer lifecycle, revenue quality, and profitability by segment and solution.
· Identify revenue leakage, upsell/cross-sell opportunities, and pricing optimization levers.
· Lead segmentation and clustering models to refine go-to-market strategies.
· Translate insights into clear commercial actions for Sales and Product teams.
· Design and deliver scalable BI solutions and data models using Power BI, Tableau, and enterprise data platforms.
· Build automated data pipelines and reporting layers (SQL-based) to minimize manual intervention.
· Drive implementation of self-service BI capabilities for business users across EBU.
· Collaborate with Technology/IT to align BI architecture with Group data strategy.
· Maintenance & Enhancement: Maintain, refactor and enhance existing front-end and back-end applications; reduce technical debt and improve stability over time.
· Documentation & Knowledge Sharing: Produce and maintain technical documentation, API specifications and configuration notes; share knowledge and contribute to reusable components and team standards.
· Continuous Improvement & Learning: Keep up to date with relevant front-end and back-end technologies, frameworks and tools; proactively propose improvements to code, architecture, processes and developer workflows.
· Develop predictive models for: Revenue forecasting, Churn prediction, Demand and capacity planning
· Introduce machine learning use cases across customer analytics and sales optimization.
· Embed data-driven forecasting into business planning cycles.
· Ensure consistency, accuracy, and governance of all enterprise data assets.
· Drive establishment of a single, reconciled source of truth for EBU performance.
· Improve data quality through validation frameworks and process automation.
· Track competitor offerings, pricing benchmarks, and enterprise solution trends.
· Analyze macroeconomic and regulatory impacts on enterprise performance.
· Provide data-driven input into:
o Go-to-market strategy
o Product development
o Strategic planning
· Act as a trusted analytics advisor to Sales, Product, Finance, and EBU Leadership.
· Support deal analytics, large contract evaluations, and profitability assessments.
· Provide insight-led support for key enterprise bids and strategic initiatives.
· Translate insights into clear executive narratives for management presentations.