Customer AI & Analytics Consultant / Senior Consultant

Randstad Hong Kong Limited; Hong Kong; On-site; HKD 600,000 - 900,000; Full time

Job summary

Randstad Hong Kong Limited is partnering with a leading pan-Asian insurance and financial services group in Hong Kong to hire a Senior Analytics professional for the Customer & Marketing division, reporting to the Head of Customer Enterprise Analytics & Innovation. You will drive data-driven growth initiatives by turning complex data into actionable insights.

The role requires strong English and Chinese communication and a track record across the full analytics lifecycle.

Qualifications

• Minimum 5 years of hands-on data analytics experience.

Responsibilities

• Leverage data and AI to drive customer acquisition, repurchase, and retention across key segments.
• Partner with Marketing, CX, and Sales to improve business performance and engagement touchpoints.
• Analyse digital customer journeys across websites and mobile apps to identify cross-sell, upsell, and service opportunities.
• Generate analytics insights and present data-driven recommendations to key stakeholders.
• Prepare and maintain documentation for analytical methodologies, data specifications, and project deliverables.
• Utilize SQL, Databricks, and Power BI to analyze trends and construct dashboards for operational performance.
• Gather and translate business requirements into technical data specifications, campaigns, and reporting models.

Skills

Data analytics

Stakeholder management

English and Chinese communication

Education

Bachelor's degree in Data Science/Statistics/Mathematics/Engineering/CS

Tools

SQL

Databricks

Power BI

Job description

about the company.

Our client is a leading pan-Asian insurance and financial services group in Hong Kong dedicated to driving health, protection, and financial security. They invest heavily in customer analytics, enterprise AI infrastructure, and digital transformation to deliver personalised, data-driven experiences across physical and digital touchpoints.

about the team.

You will join the Customer & Marketing division, reporting to the Head of Customer Enterprise Analytics & Innovation. The team operates at the intersection of business strategy and technology execution, offering a collaborative and fast-paced environment focused on converting complex customer data into actionable growth initiatives.

about the job.

• Leverage data, AI, and emerging technologies to drive customer acquisition, repurchase, and retention across key customer segments.




• Partner with Marketing, Customer Experience, and Sales teams to enhance business performance and customer engagement touchpoints.




• Analyse digital customer journeys across websites, mobile apps, and partner platforms to identify cross-sell, upsell, and service enhancement opportunities.




• Generate actionable analytics insights and present data-driven recommendations to key commercial stakeholders.




• Prepare and maintain documentation for analytical methodologies, data specifications, and project deliverables.




• Utilize advanced analytics tools including SQL, Databricks, and Power BI to analyze trends, construct dashboards, and optimise operational performance.




• Gather, clarify, and translate business requirements into technical data specifications, campaign initiatives, and reporting models.

skills & experience required.

• Minimum 5 years of hands-on data analytics experience with strong proficiency in SQL, Databricks, and data visualization tools like Power BI.




• Proven experience across the full analytics lifecycle: data extraction, transformation, analysis, visualization, and performance monitoring.




• Demonstrated experience in insurance, financial services, customer analytics, agency distribution, or healthcare analytics is preferred.




• Solid understanding of data quality, data validation, and governance principles.




• Strong stakeholder management skills with proven ability to translate business needs into analytical solutions.




• Bachelor's degree in Data Science, Statistics, Mathematics, Engineering, Computer Science, or a related quantitative discipline.




• Proficiency in spoken and written English and Chinese (Cantonese or Mandarin) is required.