The Senior Specialist in Data Analytics will be responsible for providing data-driven insights and analytics support to the Internal Audit team at Hollard, its subsidiaries, and key partners. This role involves analyzing various data sources to identify trends, anomalies, and areas of risk within the company. The specialist will work closely with audit teams to enhance audit efficiency and effectiveness using analytical tools and techniques in accordance with internal audit plans, methodologies, policies, and procedures.
The role involves strategy and planning, operational/technical development, stakeholder engagement, financial management, and human resources. The specialist will support the Data Analytics Manager in developing an audit/advisory plan, deliver on strategic objectives, and ensure the quality and integrity of data used in analytics projects. They will also execute data analytics fieldwork using relevant tools such as Python and SQL, design dashboards to visualize trends and insights, and develop data analytics scripts for continuous monitoring purposes.
The role requires a minimum of 5 years of data analytics experience, preferably within an internal audit or financial services environment. Experience with Python for data analysis, automation, and machine learning, as well as data visualization tools like Power BI, Tableau, and QuickSight, is preferred. Financial services knowledge and/or experience, with insurance industry experience preferred, is also required. Strong proficiency in Python and its libraries, advanced understanding of database structures, good understanding of machine learning algorithms and techniques, knowledge of the business environment and value-chain, understanding of internal audit standards, methodology, and best practice, and basic knowledge of data governance principles are also essential.
