Business Intelligent/ Data Scientist (Top Insurance) 54k

Michael Page International (HK) Ltd; Hong Kong Island; On-site; HKD 480,000 - 720,000; Full time

Benefits offered by this job

Competitive salary

Energetic team with AI adoption

Job summary

Michael Page International (HK) Ltd in Hong Kong is seeking a Data Analyst to join the insurance analytics team on a temporary basis. You will analyze data, build models, and support the analytics department with actionable insights.

The role requires a strong background in SQL, Python or R, and experience with visualization tools, plus excellent communication with stakeholders to drive data-driven decisions.

Qualifications

• Bachelor's degree in data-related disciplines.
• Minimum 5 years of experience in Data Analytics or related fields.
• Strong hands-on experience in SQL and data analysis.
• Experience in predictive modelling, machine learning, or statistical analysis.
• Proficiency in Python, R, SAS, or similar analytics tools.
• Experience with Power BI or Tableau for data visualization.
• Excellent communication and stakeholder management skills.

Responsibilities

• Drive business analytics and campaign performance analysis.
• Develop predictive models to support business growth and engagement strategies.
• Utilize SQL to extract, transform, and analyze large datasets from multiple sources.
• Leverage AI technologies and automation to enhance reporting processes and productivity.
• Partner with stakeholders across business functions to translate data into insights and recommendations.

Skills

SQL

Data analysis

Predictive modelling

Machine learning

Education

Bachelor's degree in Data Science, Statistics, Mathematics, Computer Science, Finance, Economics, or related disciplines

Tools

Python

R

SAS

Power BI

Tableau

Job description

The role of a Data Analyst in the insurance industry focuses on analysing and interpreting data to support the analytics department. Based in Hong Kong, this temporary position requires a detail-oriented professional with strong analytical skills.

The role of a Data Analyst in the insurance industry focuses on analysing and interpreting data to support the analytics department. Based in Hong Kong, this temporary position requires a detail-oriented professional with strong analytical skills.

Client Details

My client is a leading insurance and financial services organization committed to helping individuals and families achieve long-term financial well-being. Through innovation, digital transformation, and customer-centric solutions, they empower our people to make meaningful impacts while driving sustainable business growth

Description

• Drive business analytics and campaign performance analysis to identify trends, opportunities, and actionable recommendations.
• Develop predictive models and analytical solutions to support business growth and customer engagement strategies.
• Utilize SQL and analytics tools to extract, transform, and analyze large datasets from multiple sources.
• Leverage AI technologies and automation to enhance reporting processes, operational efficiency, and analytical productivity.
• Partner with stakeholders across business functions to translate data into meaningful insights and strategic recommendations.

Profile

• Bachelor's degree in Data Science, Statistics, Mathematics, Computer Science, Finance, Economics, or related disciplines.
• Minimum 5 years of experience in Data Analytics, Data Science, Business Intelligence, or related fields.
• Strong hands-on experience in SQL and data analysis.
• Experience in predictive modelling, machine learning, or statistical analysis.
• Proficient in Python, R, SAS, or similar analytics tools.
• Experience with visualization tools such as Power BI, Tableau, or equivalent.
• Strong analytical thinking and problem-solving skills with a commercial mindset.
• Excellent communication and stakeholder management skills.

Preferred Qualifications

• Experience in Insurance, Financial Services, or Banking industries.
• Knowledge of tree-based machine learning models (e.g., XGBoost, Random Forest, Decision Trees).
• Experience in campaign analytics, customer analytics, or business performance analysis.
• Exposure to Generative AI, AI prompt engineering, or AI-driven analytics solutions.
• Experience in reporting automation and process optimization.

Job Offer

• Competitive Salary
• Energetic Team, adoption to AI