Analytics Head

Role & responsibilities

• Lead the organization's analytics and business intelligence strategy in alignment with overall business objectives.
• Build, manage, and mentor high-performing analytics, BI, and data science teams.
• Translate business requirements into actionable insights, dashboards, predictive models, and data-driven solutions.
• Partner with senior leadership and cross-functional stakeholders to drive strategic decision-making through data.
• Define and track key business metrics, KPIs, and analytics-driven performance frameworks.
• Oversee analytics projects from problem definition and data preparation through analysis, deployment, and business adoption.
• Establish data governance, quality, documentation, and analytics best practices across the organization.
• Drive adoption of modern analytics, AI/ML, automation, and self-service BI capabilities.
• Evaluate and implement analytics tools, platforms, and technologies to improve efficiency and scalability.
• Present complex analytical findings and recommendations clearly to senior management and executive leadership.
• Identify opportunities for process optimization, revenue growth, cost reduction, and improved customer experience through analytics.
• Manage analytics budgets, resources, priorities, and delivery timelines while ensuring measurable business impact.

Preferred candidate profile

• 8 to 13 years of experience in Analytics, Business Intelligence, Data Science, or a related field, with significant leadership experience.
• Proven track record of leading analytics teams and delivering data-driven business transformation.
• Strong expertise in SQL, Python/R, BI platforms such as Power BI or Tableau, and advanced analytics techniques.
• Experience with predictive analytics, statistical modelling, machine learning, experimentation, and AI/GenAI is preferred.
• Strong understanding of data architecture, data governance, data quality, and modern cloud data platforms.
• Excellent business acumen with the ability to connect analytics initiatives to revenue, profitability, operational efficiency, and customer outcomes.
• Exceptional stakeholder management, executive communication, presentation, and influencing skills.
• Strong strategic thinking, problem-solving, prioritization, and decision-making abilities.
• Experience managing multiple analytics initiatives and working with cross-functional teams.
• Bachelor's degree in Data Science, Statistics, Mathematics, Computer Science, Engineering, Economics, Business Analytics, or a related quantitative discipline.
• Master's degree/MBA in Analytics, Data Science, Business Analytics, Statistics, or a related field is preferred.