Data Analyst

加入我们，共享保险行业的美好未来！

利马是一家全球化的保险咨询公司，致力于帮助全世界的保险公司持续成长。 作为法国再保险集团（SCOR）的一员，我们专精于数据智能、市场营销及技术解决方案。自1984年成立以来，我们已服务了超过10亿用户，运营12000余个营销项目，每年承保超过1百万保单。我们有来自全球40个国家超过250名员工，在全球设有17个办公室。我们的客户包括500余家保险公司，并广泛与保险行业外的机构合作，如佳明（Garmin）、地方政府、大学等。我们的愿景是对保险行业进行变革，我们坚信要开发对人们的身心健康有持续良好影响的保险产品。

The role

As Data Analyst you will play an essential role in growing SCOR Digital Solutions products. You will support HealthTech business doing data processing, automation and assist solving business problems.

Reporting to James Lynch, Head of Product and Business Analytics, you will be responsible for the following:

Key responsibilities

• Work closely with the client-facing teams to ensure the timely and accurate delivery of client dashboards.
• Monitor data sources, troubleshoot issues, and implement improvements to enhance dashboard performance.
• Collaborate with the technical team to identify opportunities for automation within the dashboard creation process. Develop scripts, workflows, or tools to streamline and optimize data extraction, transformation, and loading processes.
• Contribute to the design, development, and maintenance of data pipelines that facilitate the movement of data from source to storage. Ensure data integrity, availability, and security throughout the pipeline.
• Collect, clean, and preprocess data from various sources to ensure its accuracy and reliability. Address data quality issues and transform raw data into usable formats for analysis.
• Perform exploratory data analysis to identify trends, patterns, and insights within the insurance industry data. Summarize findings through clear visualizations and actionable recommendations.
• Collaborate with cross-functional teams, including client-facing, developers, business analysts, data scientists, and data engineers to understand data requirements and support data-driven decision-making processes.
• Collaborate with members of the Digital Solutions Product Analytics team to contribute to ongoing analytics projects by performing data-related tasks.
• Engage in continuous learning and development towards Data Scientist and/or Data Engineer skill set. Participate in training programs, workshops, and self-directed learning initiatives to expand your skill set.

Technical/Essential competencies

• Proficiency with data visualization tools such as Tableau, Power BI, or similar platforms.
• Proficiency in data analysis using tools such as Excel, Python, R, or similar software. Strong preference to Python users.
• A healthy knowledge of news & current affairs especially in the topic of technology, data governance, Health Tech, financial sector, insurance, and consumer behaviour.
• Excellent organisational skills with the ability to manage multiple projects in a complex, fast-paced and deadline-driven environment.
• Proficient with BI tools (Tableau, Power BI, etc.) and their data requirements.
• Familiar with data science including knowledge of supervised and unsupervised machine learning techniques.
• Proven ability to work with cross-functional teams and communicate effectively with both technical and non-technical stakeholders.
• Understanding of data privacy and security regulations and best practices, sensitive to PII and PSI data handling.

Personal competencies/Nice to have

• Enthusiastic.
• Basic understanding of statistical concepts and methodologies.
• Strong attention to detail and ability to work with complex datasets.
• Effective communication skills, both written and verbal in English and Chinese.
• Ability to collaborate within a team environment.
• Eagerness to learn and develop new skills in data analysis.

Required education/Work experience

• Bachelor's degree in a quantitative field such as Statistics, Mathematics, Economics, Computer Science, or a related discipline.

What we offer

• Competitive Salary.
• Insurance benefits.
• Training & professional development opportunities.
• Working in a global, entrepreneurial ‘start-up’ environment within the established SCOR Group

公司的工作语言为英语。所有利马员工都应具备充分的英文听说读写水平，以便在公司内正常交流并高效工作。