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Our client, a leading insurance company headquartered in London, is seeking an experienced and innovative Head of Data Analytics to lead their data analytics function. This company is renowned for its commitment to excellence and its strategic use of data to drive business decisions. Join a dynamic organisation where your expertise in data analytics will be instrumental in shaping the future of their business intelligence and analytics capabilities.
Role Overview:
As the Head of Data Analytics, you will be responsible for developing and executing the company’s data analytics strategy. You will lead a team of data professionals to deliver actionable insights, enhance data-driven decision-making, and drive business growth. The ideal candidate will have extensive experience in data analytics within the insurance, professional services or financial services industry.
Key Responsibilities:
- Develop and implement a comprehensive data analytics strategy aligned with business objectives.
- Lead and manage the data analytics team, fostering a culture of excellence and innovation.
- Oversee the design and development of data models, dashboards, and reports.
- Collaborate with stakeholders to understand their data needs and deliver actionable insights.
- Ensure data quality, integrity, and security across all analytics initiatives.
- Utilise advanced analytics techniques, including machine learning and predictive analytics, to drive business performance.
- Stay abreast of industry trends and emerging technologies to continuously improve analytics capabilities.
- Establish and enforce data governance and best practices.
- Present findings and recommendations to senior management and other stakeholders.
Essential Qualifications and Experience:
- Proven experience as a Head of Data Analytics or similar leadership role in the insurance, professional services or financial services industry.
- Extensive knowledge of data analytics tools and technologies (e.g., SQL, Python, R, Power BI, Tableau).
- Strong understanding of data governance, data management, and data quality principles.
- Experience with advanced analytics techniques, including machine learning and predictive modelling.
- Excellent leadership, communication, and interpersonal skills.
- Strong analytical and problem-solving abilities.
- Ability to manage multiple projects and priorities effectively.
Desirable Skills:
- Professional certifications (e.g., Certified Analytics Professional, Data Science certifications).
- Experience with big data technologies (e.g., Hadoop, Spark).
- Knowledge of cloud-based analytics platforms (e.g., AWS, Azure).
- Understanding of regulatory requirements related to data in the insurance industry.