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Data Analytics
3 weeks ago
**All positions require a criminal background check.**
- Digital & Technology
**Data Analytics**:
- Date: 7 Mar 2025
- Location: Bangkok, Thailand
- Company: Kiatnakin Phatra Bank Public Company Limited
**Job Summary**:
As a Data Analyst, you will be responsible for generating leads, analyzing campaign performance, conducting A/B testing, and uncovering actionable insights to drive business growth. This role requires a strategic thinker with a winning attitude who is eager to explore new methodologies to enhance campaign performance.
**Role and Responsibilities / หน้าที่ความรับผิดชอบ**:
- **Lead Generation and Customer Acquisition**:
- Identify new customer acquisition opportunities through data-driven insights.
- Develop strategies to cross-sell products and services to existing customers.
- Collaborate with marketing and sales teams to optimize lead generation efforts.
- **Data Analysis**:
- Analyze campaign performance to identify trends, patterns, and areas for improvement.
- Provide actionable insights and recommendations based on data analysis to optimize marketing efforts.
- Perform ad-hoc analysis to support business needs and strategic initiatives.
- **A/B Testing for Campaign Enhancement**:
- Design and execute A/B tests to evaluate the effectiveness of different campaign strategies.
- Analyze test results to identify winning strategies and improve future campaigns.
- Collaborate with stakeholders to implement data-driven improvements.
**Qualifications / คุณสมบัติ**:
- 0 to 3 years of professional experience as a Data Analyst, preferably within marketing or customer acquisition.
- Proficiency in Python, PySpark, and SQL for large-scale data processing.
- Hand-on experience with A/B testing and campaign performance optimization.
- 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 statistical methods and data modeling.
- **Collaboration and Communication**:
- Excellent communication skills to effectively present insights to stakeholders.
- Ability to work cross-functionally with marketing, sales, and product teams.
- Strong organizational skills and attention to detail.
- **Solid understanding of financial industry.