Lead Data Analyst
3 days ago
The Lead Data Analyst - Pricing position is responsible for leading and developing a high-performing data analytics team to deliver accurate and timely pricing solutions. You will oversee the development, implementation, and maintenance of data analytics models and tools, ensuring alignment with business objectives and regulatory requirements.
About Us
Zurich 56 Company Ltd is a leading insurance company that provides innovative solutions to its customers. We are committed to delivering exceptional service and building long-term relationships with our clients.
Your Responsibilities
- Lead and develop a high-performing data analytics team to deliver accurate and timely pricing solutions.
- Oversee the development, implementation, and maintenance of data analytics models and tools, ensuring alignment with business objectives and regulatory requirements.
- Perform complex data analyses, data mining, and modeling to support pricing and financial decisions.
- Leverage advanced analytical techniques to identify trends, assess risks, and optimize pricing strategies.
- Ensure data integrity through robust data governance practices.
- Manage data collection, cleaning, and validation processes.
- Develop and maintain pricing databases to support model development and analysis.
- Collaborate closely with business partners to understand their needs and provide data analytics expertise.
- Communicate complex technical information effectively to both technical and non-technical audiences.
- Support business decision-making through insightful statistical and actuarial analysis and recommendations.
- Drive new product development initiatives through data analytics expertise.
- Conduct market analysis and competitor benchmarking to inform pricing strategies.
- Develop and implement pricing methodologies for new products.
- Maintain compliance with actuarial standards and regulatory requirements.
Requirements
- Bachelor's degree in Data Analytics, Mathematics, Statistic, or equivalent in relevant field at minimum.
- Typically four or more years of experience in related field.
- Pursuing professional certification in data analytics (e.g. Certified Data Analyst).
- Having experience in working with either of these programming statistical tools such as MS Excel-VBA, Power BI, SAS, SQL, R, Python, Emblem, Radar or Prophet.
What We Offer
- Competitive salary and benefits package.
- Opportunities for career growth and professional development.
- Collaborative and dynamic work environment.
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