Lead - Advanced Analytics

Lead - Advanced Analytics

• Job Type Full Time
• Qualification BA/BSc/HND , MBA/MSc/MA
• Experience 10 years
• Location Nairobi
• Job Field Data, Business Analysis and AI , ICT / Computer

Job Description

• Reporting to the Advanced Analytics Lead, the role holder will be responsible for leading Safaricom Group’s enterprise advance analytics agenda, transforming data into actionable commercial intelligence that drives growth, customer value, operational efficiency and strategic decision-making. The role owns the development and delivery of advanced analytics products, predictive insights, interactive and intuitive decision-support capabilities and business intelligence solutions across the Group.
• The role is accountable for establishing a single source of truth for enterprise insights and enabling a transition from reactive reporting to proactive, AI-enabled decision intelligence. Through embedded analytics business partnering across Consumer, Financial Services, Enterprise & Public Sector, Technology and Corporate Functions, the role ensures analytics capabilities directly and proactively support business priorities and commercial outcomes.
• The Lead, Advanced Analytics will drive the Data Marketplace and Data Virtualization vision, enabling and empowering business users with self-service analytics, democratized access to trusted data assets and widespread adoption of insights across all levels of the organization. The role serves as the bridge between business strategy, commercial priorities and data science capabilities, ensuring analytics investments deliver measurable business impact and value realization.
• The role also plays a critical leadership role in building an analytics-driven culture, developing advanced analytics capabilities and positioning Safaricom as a data-first, AI-enabled organization.

The Lead, Advanced Analytics is strategically accountable for:

• Analytics Strategy & Delivery: Lead the company-wide analytics agenda and ensure insights capabilities directly support commercial growth, customer value creation and strategic decision-making across the Group.
• Advanced Insights & Decision Intelligence: Drive development of predictive, prescriptive and real-time insights that enable proactive business decisions and improved commercial outcomes.
• Analytics Business Partnering: Embed analytics capabilities within business domains and act as a strategic partner to business leaders in translating priorities into analytics solutions.
• Data Marketplace & Self-Service Analytics: Establish enterprise self-service analytics capabilities that democratize access to trusted data and accelerate decision-making.
• Commercial Performance & Value Realisation: Ensure analytics initiatives deliver measurable revenue growth, cost optimization, customer experience improvements and operational efficiencies.
• Analytics Transformation & Capability Building: Drive enterprise adoption of analytics, improve data literacy and establish a culture of evidence-based decision-making.

Responsibilities

Health and Safety

• Uphold the company code of conduct, policies and procedures, ensuring integrity and accountability in every aspect of your work.
• All employees have a responsibility to adhere to safety, health, and wellbeing policies, guidelines and procedures in all actions and decisions.

Analytics Strategy & Delivery

• Develop and execute the company-wide analytics strategy aligned to Group priorities and growth ambitions.
• Establish a unified analytics operating model across all business domains.
• Prioritize analytics initiatives based on strategic value and business impact.
• Build and maintain an enterprise insights portfolio supporting key business objectives.
• Define enterprise standards for analytics delivery and performance measurement.
• Align analytics investments with commercial priorities and value creation objectives.
• Drive integration of analytics capabilities across functions, tribes and missions.
• Ensure enterprise analytics capabilities support future AI and automation initiatives.
• Continuously evolve analytics capabilities in response to changing business needs.

Advanced Insights & Decision Intelligence

• Lead development of predictive, prescriptive and real-time analytics capabilities.
• Deliver proactive insights that identify opportunities, risks and performance drivers.
• Develop forecasting and scenario modelling solutions to improve decision quality.
• Design executive dashboards that provide actionable business intelligence.
• Drive development of customer, revenue, cost and operational analytics solutions.
• Improve decision speed through automated and real-time insight generation.
• Establish advanced KPI frameworks and performance measurement methodologies.
• Enable frontline, middle management and executive access to relevant insights.
• Drive continuous enhancement of enterprise decision intelligence capabilities.

Analytics Business Partnering

• Embed Analytics Partners across Consumer, Financial Services, Enterprise, Technology and Corporate Functions.
• Translate business challenges into actionable analytics use cases.
• Partner with business leaders to identify growth opportunities through data.
• Support business planning and strategic decision-making with analytics insights.
• Facilitate prioritization of analytics demand across business domains.
• Drive stakeholder engagement and adoption of analytics products.
• Ensure analytics solutions align with operational realities and business objectives.
• Build trusted advisor relationships with executive and senior leadership teams.
• Act as the primary interface between business stakeholders and analytics delivery teams.

Data Marketplace & Self-Service Analytics

• Lead implementation of the enterprise Data Marketplace strategy.
• Enable self-service access to trusted data assets and insights products.
• Define governance standards supporting enterprise-wide analytics access.
• Drive migration from static reporting to interactive and intuitive analytics platforms.
• Improve user experience through simplified analytics access and discovery.
• Promote enterprise adoption of self-service analytics capabilities.
• Establish analytics product catalogues and reusable insight assets.
• Monitor utilization, adoption and value realization of marketplace capabilities.
• Continuously improve accessibility and usability of enterprise analytics platforms.

Commercial Performance & Value Realisation

• Track and report business value generated through analytics initiatives.
• Identify opportunities to improve revenue, margin and customer performance.
• Support commercial optimization through data-driven recommendations.
• Measure impact of analytics solutions against predefined business outcomes.
• Drive accountability for realization of analytics-related benefits.
• Partner with Finance and Commercial teams to quantify value delivered.
• Monitor ROI of analytics investments and initiatives.
• Support identification of new monetization opportunities through analytics.
• Establish enterprise reporting of analytics value realization.

Analytics Transformation & Capability Building

• Drive enterprise adoption of analytics and data-driven decision-making.
• Build analytics literacy and capability across business functions.
• Establish analytics communities of practice across the Group.
• Develop analytics standards, methodologies and best practices.
• Coach and mentor analytics professionals and business partners.
• Support workforce planning and capability development within the analytics chapter.
• Promote innovation and experimentation in analytics delivery.
• Foster a culture of curiosity, evidence-based thinking and continuous learning.
• Position Safaricom as a leading analytics-driven organization in the region.

Core competencies, knowledge and experience

Customer Obsession

• Deepen team connection to our customers and communities.
• Foster authentic relationships with customers and partners that build trust.
• Explicitly take customer-centric decisions and take personal ownership to achieve results.
• Simplify processes through digitalization and promote a digital mindset and digital first customer experience.
• Stay focused on the big priorities, know when to make meaningful trade-offs and demonstrate brilliant execution.

Purpose

• Create an