Head Data Analytics

About the Role

We are looking for an experienced and strategic Head of Data & Analytics to lead our data and analytics function and help drive a stronger data-driven culture across the organization.

In this leadership role, you will define and execute our data and analytics strategy, lead a high-performing team, and partner with senior stakeholders to turn complex data into actionable insights and measurable business outcomes.

You will play a key role in building scalable data capabilities, strengthening data governance, advancing business intelligence, and identifying opportunities to leverage advanced analytics and AI.

Key Responsibilities

• Develop and execute the company-wide data and analytics strategy aligned with business priorities.
• Lead, mentor, and develop a high-performing team of data analysts, BI professionals, data scientists, and data engineers.
• Build and enhance dashboards, reporting, KPIs, and self-service analytics capabilities.
• Partner with senior leaders to identify business opportunities that can be addressed through data and analytics.
• Establish strong data governance, quality, security, and management practices.
• Oversee the development of scalable data platforms, pipelines, warehouses, and analytical solutions.
• Drive the use of predictive analytics, AI, machine learning, and automation where they can create meaningful business value.
• Ensure data insights are translated into clear recommendations and measurable actions.
• Establish consistent definitions and standards for business metrics and performance reporting.
• Manage the analytics portfolio, priorities, resources, budgets, and external technology partners.
• Promote data literacy and data-driven decision-making across the organization.

What We’re Looking For

• Bachelor’s or Master’s degree in Data Science, Analytics, Computer Science, Statistics, Mathematics, Business Analytics, or a related discipline.
• 5–8+ years of experience in data, analytics, business intelligence, data science, or a related field.
• Proven experience leading and developing data and analytics teams.
• Strong track record of developing and implementing data strategies.
• Excellent understanding of data governance, data quality, analytics, and modern data architecture.
• Strong SQL and analytical skills, with experience in Python, R, or similar tools preferred.
• Experience with BI platforms such as Power BI, Tableau, Looker, or equivalent.
• Experience with cloud data platforms and modern data technologies.
• Strong business acumen and the ability to translate complex data into business decisions.
• Excellent communication, presentation, stakeholder management, and leadership skills.