• Automation Initiatives: Identify opportunities and lead efforts to automate IA and SOX activities, with an orientation towards reducing manual effort and enhancing coverage and accuracy.
• Data Analytics & Insights:
• Utilize data analytic tools, programming languages, and big data technologies to identify, extract, transform, and analyze complex datasets for audit and SOX purposes.
• Identify trends, patterns, and anomalies, and translate these insights into actionable recommendations for the IA team and / or stakeholders.
• Data Visualization: Design and create compelling data visualizations to facilitate decision-making and communicate findings effectively for both technical and non-technical audiences.
• Modeling & Forecasting: Apply statistical and machine learning techniques to build predictive models.
• Training & Knowledge: Stay current with the latest analytics trends, tools, and best practices.
• Ad-Hoc Analysis: Respond to requests for specific analyses, as needed.
• Team Collaboration: Partner with IA team members and other stakeholders across the organization to understand their analytics needs and deliver tailored solutions.

• Experience with Power BI and SQL
• Strong analytical mindset with excellent problem-solving abilities and keen attention to detail.
• Proactive mindset for innovating new solutions, improving existing approaches, and challenging status quo.
• Collaborative team player with a commitment to achieving excellence.
• Strong written and verbal communication skills.
  
  

• Experience with Alteryx, Snowflake, or programming languages such as Python.
• Experience with data engineering and the architecture of ETL processes, data pipeline development, and data management.
• Experience with business analysis including stakeholder engagement, identifying requirements, and recommending solutions.
• Familiarity or experience working within Agile environments.
• Previous insurance industry experience, ideally within a global firm
• Willingness and ability to adapt to new circumstances, information, and challenges
  
  

• Bachelor’s degree in Data Science, Statistics, Computer Science, or a related field with meaningful coursework in research methods, statistics, programming, or a related field.

Please refer to job description.