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Overview
Our client is a Dublin‑based management services company that delivers shared services to a global group of businesses. They require a Data Analyst with a PhD. The company offers services across IT infrastructure, systems and business applications, group financial reporting, investment and reinsurance accounting, M&A and due diligence, and financial advisory & corporate governance consultancy. The parent company, headquartered in Toronto, Canada, is primarily engaged in insurance and reinsurance. The wider Group contains over 40 companies, employs over 15,000 personnel, and had a gross turnover of US$28.9 billion in 2023.
Key Responsibilities
* Data Analytics – Advise in strategic transformation through the effective use of data assets; work on Data Strategies, Data Science, and Data Governance roles.
* Global Sustainability – Lead a multi‑pronged ESG strategy and shape ESG behavior for group subsidiaries.
* Digital & Emerging Technology – Design, develop, and implement analytical solutions, building data platforms that collate data from disparate sources.
* Strategic Partnering – Support clients in delivering business needs by identifying problems, defining strategies, and managing projects.
* Innovation – Apply creative thinking to execute new strategies that drive value to customers.
Required Education
* A PhD graduate with mastery in their field and interest in commercial environment.
* Ability to produce creative solutions to complex problems using data‑driven insights.
* Ability to research, digest information, and produce contextual analysis.
* Ability to present intricate data to C‑Suite executives in digestible form.
* Ability to understand new systems and push their boundaries.
* Robust understanding of data manipulation techniques and methods.
* Outstanding presentation skills to synthesize and communicate complex concepts.
* Capacity to work in a high‑tempo environment, adapt, and respond to day‑to‑day challenges.
Beneficial Skills
* Strong quantitative skills and experience with statistical methods.
* Proficiency with data visualization software such as Power BI (knowledge of other tools is beneficial).
* Professional level external communication writing.
* Comfortable learning new technologies or applications.
Seniority level
Associate
Employment type
Full‑time
Job function
Analyst
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