Senior Data Analyst (Customer Segmentation)

N/A

Nộp Đơn Ứng Tuyển

Địa điểm

Hồ Chí Minh

Ngày cập nhật
11/03/2026
Ngành nghề
Tiếp thị / Marketing, Ngân hàng, Tài chính / Đầu tư
Hình thức
Nhân viên chính thức
Cấp bậc
Nhân viên

Lương
Thỏa thuận
Kinh nghiệm
Không yêu cầu kinh nghiệm
Số lượng
1
Hết hạn nộp
10/04/2026

Phúc lợi

Chế độ bảo hiểm
Chế độ thưởng
Đào tạo
Chăm sóc sức khỏe
Nghỉ phép năm
Phụ cấp

Mô tả Công việc

Responsible for developing customer segmentation strategies, analyzing user behavior, and optimizing marketing and product performance through the application of data, segmentation models, and customer insights to drive growth, optimize costs, and enhance Customer Lifetime Value (CLV).

Develop and manage customer segmentation models based on behavior, risk, CLV, and engagement levels, ensuring alignment with marketing, risk, product, and customer lifecycle strategies.
Support Marketing and Product strategies by advising on target segments for acquisition, reactivation, and loyalty campaigns; providing insights to develop suitable credit products for each customer segment; and collaborating with the Digital team to optimize content, creatives, and customer journeys by segment.
Build and optimize analytical models by applying customer clustering, cohort analysis, predictive scoring, look-alike modeling, and response/propensity modeling; monitor model performance and recommend improvements.
Develop customer validation and insight activities to better understand customer behavior; test the effectiveness of creatives and strategies to optimize marketing performance and achieve KPIs and business objectives.
Identify and adopt new technologies to ensure the company remains at the forefront of customer marketing and analytics initiatives.
Perform other tasks as assigned by Management.

Yêu Cầu Công Việc

Bachelor’s degree in Data Analytics, Statistics, Economics, Marketing, Fintech, or a related field
Minimum 3 years experienced in segmentation and analytics
Language requirements: English – fluent
Understanding of customer segmentation, CLV, and basic machine learning
Experience working with CRM platforms, CDP, marketing automation, and BI tools