Data Analytics Manager - Insurnace

Summary: The Data Analytics Manager role in the insurance sector focuses on leveraging data analytics to identify growth opportunities and support marketing initiatives. The position requires collaboration with business teams to deliver actionable insights and improve campaign effectiveness through data-driven strategies. Additionally, the role involves developing machine learning models and ensuring secure data solutions in partnership with IT. Strong communication skills in English and Chinese are essential for stakeholder management and project leadership.

Key Responsibilities:

• Analyze customer and distribution channel data to identify growth opportunities (acquisition, cross-selling, retention, etc.).
• Partner with business teams to define analytics needs and deliver insights for decision-making.
• Support marketing campaigns with data-driven targeting, opportunity sizing, and lead generation.
• Measure campaign effectiveness and suggest improvements; explore new techniques for automation and optimization.
• Build and maintain dashboards to track campaign performance and customer/agent behavior.
• Work with IT to ensure secure, scalable, and integrated data solutions.
• Explore structured/unstructured data to enhance channel analytics and behavioral insights.
• Develop machine learning models (supervised/unsupervised) to improve analytics effectiveness.

Key Skills:

• Bachelor's degree holder
• 8-10 years in data analytics, with 6-8 years in insurance sector.
• Hands-on experience in large-scale analytics projects.
• Proficient in Python & SQL; knowledge of machine learning is a plus.
• Experience in segmentation, predictive modeling, and analytics strategy.
• Skilled in stakeholder management, problem-solving, and driving results.
• Ability to lead projects independently with strong execution focus.
• Excellent presentation and communication skills (English & Chinese).

Salary (Rate): undetermined

City: Hong Kong

Country: Hong Kong

Working Arrangements: hybrid

IR35 Status: undetermined

Seniority Level: undetermined

Industry: IT

Detailed Description From Employer:

Responsibilities:

• Analyze customer and distribution channel data to identify growth opportunities (acquisition, cross-selling, retention, etc.).

• Partner with business teams to define analytics needs and deliver insights for decision-making.

• Support marketing campaigns with data-driven targeting, opportunity sizing, and lead generation.

• Measure campaign effectiveness and suggest improvements; explore new techniques for automation and optimization.

• Build and maintain dashboards to track campaign performance and customer/agent behavior.

• Work with IT to ensure secure, scalable, and integrated data solutions.

• Explore structured/unstructured data to enhance channel analytics and behavioral insights.

• Develop machine learning models (supervised/unsupervised) to improve analytics effectiveness.

Requirements:

• Bachelor's degree holder

• 8-10 years in data analytics, with 6-8 years in insurance sector.

• Hands-on experience in large-scale analytics projects.

• Proficient in Python & SQL; knowledge of machine learning is a plus.

• Experience in segmentation, predictive modeling, and analytics strategy.

• Skilled in stakeholder management, problem-solving, and driving results.

• Ability to lead projects independently with strong execution focus.

• Excellent presentation and communication skills (English & Chinese).