DUTIES AND RESPONSIBILITIES:                   

• Lead the Business Analysis Function: Oversee and mentor a team of business analysts, championing the use of data and analytics across all departments to drive performance and strategic alignment.
• Deliver Strategic Insights: Convert raw data into actionable insights using advanced analytics (predictive, prescriptive, diagnostic, and descriptive) to inform decisions on investment, process improvements, and growth opportunities.
• Appraise Projects & Investments: Evaluate business cases using financial metrics such as IRR, NPV, Payback Period, and ROI, providing decision-makers with clear, data-backed recommendations.
• Embed Analytics in Business Processes: Collaborate with cross-functional teams, including finance, operations, and commercial units, to integrate data into daily workflows and long-term planning.
• Champion Data Governance: Establish and enforce standards around data quality, privacy, and regulatory compliance across business units.
• Drive Change & Adoption: Foster a culture of data literacy and adoption through training, stakeholder engagement, and change management initiatives.
• Communicate with Impact: Translate complex analytical findings into clear business narratives through dashboards, visualizations, and reports tailored to senior leaders and non-technical audiences.
• Promote Innovation: Introduce new technologies and methodologies that strengthen the analytics infrastructure and support continuous improvement.
• Mitigate Risk: Proactively identify potential issues related to data integrity, tech adoption, or process inefficiencies, and drive solutions that ensure business continuity and growth.

 KEY COMPETENCIES:

• Strategic Thinking & Vision
• Analytical & Critical Thinking
• Leadership & People Development
• Stakeholder Engagement
• Change Management & Agility

Requirements

• Minimum 7 years’ experience in business analysis, with at least 3 years in a leadership role.
• Bachelor’s degree in Business Analytics, Statistics, Data Science, Information Systems, or a related field.
• Professional certifications such as CBAP, PMI-PBA, or advanced analytics credentials.
• Familiarity with programming languages (SQL, Python, R) is an added advantage.
• Strong command of advanced analytics (predictive, prescriptive, and diagnostic) and financial modeling tools.
• Experience facilitating training programs or analytics bootcamps is a plus.
• Proficient in data visualization platforms such as Power BI, Tableau, or similar tools.
• Solid understanding of statistical modelling, forecasting, and data storytelling.
• Demonstrated ability to drive business impact through process improvement and analytics.
• Experience working with data governance frameworks and regulatory requirements.
• ​Excellent collaboration and communication skills across functional teams.