CRM Insights & Data Analytics Manager

Classy Wheeler Limited; Hong Kong; On-site; HKD 334,800 - 446,400; Full time

Job summary

A data analytics company in Hong Kong is seeking a Data Analytics Manager to formulate strategies for data acquisition and analysis. The candidate will support the local analytics team and utilize advanced analytical skills to enhance customer insights and value. Responsibilities include improving Group CRM, developing segmentation models, and utilizing data visualization tools. The ideal candidate will have a university degree in a related field and 3-5 years of relevant experience, with proficiency in SQL, R, and data visualization software.

Qualifications

• 3 - 5 years of experience in advanced data analysis, customer segmentation, and modeling.
• Strong analytical mind, good report writing skills, and ability to transform data into actionable insights.
• Good understanding of CRM systems and advanced statistical analysis methods.

Responsibilities

• Formulate strategy for acquiring, cleansing, and analyzing data to drive business results.
• Gather requirements from key stakeholders for Group CRM improvement.
• Develop segmentation and machine learning models for cross-sell and up-sell initiatives.
• Present customer insights and recommendations to enhance customer value.

Skills

Advanced data analysis

Customer segmentation

Data mining with SQL

Hands-on experience with R and Python

Data visualization skills

Project management skills

Good communication

Education

University degree in Quantitative Analysis or related discipline

Tools

SQL

Tableau

Power BI

Qlikview

Job description

A data analytics company in Hong Kong is seeking a Data Analytics Manager to formulate strategies for data acquisition and analysis. The candidate will support the local analytics team and utilize advanced analytical skills to enhance customer insights and value. Responsibilities include improving Group CRM, developing segmentation models, and utilizing data visualization tools. The ideal candidate will have a university degree in a related field and 3-5 years of relevant experience, with proficiency in SQL, R, and data visualization software.