Data Analyst (Campaign Data Analytics) (SQL, Python)

Responsibilities:

• Maintain and enhance insight and campaign data marts used for statistical modeling.
• Develops and executes statistical analyses to meet business objectives and goals which include but not limited to cross-sell, up-sell, decision-tree, next-best-offer analyses, and customer/agent segmentations.
• Perform the data processing of the pre-modeling/pre-scoring data preparation.
• Provide results of analyses.
• Capture analytical requirements that the current information from source systems do not support in order to provide additional business inputs to the Enterprise Data Warehouse project after enterprise data warehouse go-lives as well as implement the solution.

More for Data Scientist:

• Develop models employing appropriate statistical and machine-learning techniques/methods such as Multivariate Regression, clustering, decision-trees, random forest etc. using R or Python under the supervision of a senior data analyst.

Qualifications:

• Bachelor’s degree or higher in Statistics, Decision Science, Mathematics, or related fields is preferred
• Coding skills in SQL, and Python is a must
• At least 1 year of work experience in statistical modeling with knowledge of different kinds of regression, Chi-Square Test, T-Test
• Proficient in English and Thai: Reading, Writing, Conversing
• Strong statistical background and analytical skills
• Working experience with data visualization tools like Power BI, Tableau, Data Studio, and Qlik

Talent Acquisition Team, Human Resources Management Department (Head Office)

Muang Thai Life Assurance Public Company Limited

250 Ratchadaphisek Rd., Huaykwang, Bangkok 10310

Website: www.muangthai.co.th [link removed]

Line Official Account: @mtlcareer

LinkedIn: Muang Thai Life Assurance Public Company Limited

หมายเหตุ: ตำแหน่งงานนี้จำเป็นต้องตรวจสอบประวัติอาชญากรรมของบุคคลก่อนพิจารณารับเข้าทำงาน เพื่อความปลอดภัยและรักษามาตรฐานขององค์กร

Remark: This position requires a criminal record information check prior consideration for employment to ensure safety and maintain standards of the organization.