Job Summary

Role and Responsibilities

หน้าที่ความรับผิดชอบ

Identify new customer acquisition opportunities, optimize lead generation, and develop cross-sell/upsell strategies through data-driven insights in collaboration with marketing and sales teams.

• Analyze campaign performance, conduct ad-hoc analysis, and deliver actionable insights to improve business outcomes.

• Design, execute, and analyze A/B tests and test results to evaluate and improve campaign effectiveness.

• Design, develop, and maintain user-friendly dashboards and visualizations aligned with stakeholder requirements.

• Automate and deliver accurate regulatory reports in compliance with industry standards and timelines.

• Design and deploy datamarts with optimal data pipeline integration to consolidate and structure data based on business requirements

• Reconcile data from multiple sources and validate data for improving data quality

• Communicate with business to translate business challenge into actionable analytical solution.

Qualifications

คุณสมบัติ

0 to 3 years of professional experience in Business Intelligence or Data Analyst, preferably within marketing or customer acquisition.

• Proficiency in Python, PySpark, and SQL for large-scale data processing.

• Hands-on experience with data-driven marketing analytics, including A/B testing, campaign performance optimization, dashboard development (Power BI, Tableau, Databricks, or similar tools), data analysis, and datamart deployment.

• Strong analytical and problem-solving skills

• Good communication and interpersonal skills to effectively interact with cross-functional team

Specific knowledge and skill / ความรู้เฉพาะตำแหน่ง

Winning Attitude:

• Eager to logically explore and implement new methodologies to improve campaign performance.

• Proactive and innovative mindset to drive continuous improvement.

• Strong problem-solving skills and a results-driven approach.

Technical Proficiency:

• Proficient in data analysis tools such as PySpark, Python, SQL.

• Strong understanding of advanced statistical methods and data modeling.

Collaboration and Communication:

• Excellent communication skills to effectively present insights or complex concepts to a non-technical audience.

• Ability to work cross-functionally with marketing, sales, and product teams.Strong sense of responsibility and teamwork

• Strong organizational skills and attention to detail.

Solid understanding of financial industry.