Position: Officer – Senior Data Analyst

About the Role

We're looking for a Data Analyst — Junior or Senior — to join our MarTech & Data Intelligence team. You'll work with Marketing, Operations, and Product to turn behavioral and transactional data into insights that drive campaign performance, smarter segmentation, and lifetime value growth.
If you're sharp, meticulous, and energized by making data work harder for the business — we'd love to meet you.

What You'll Do

1. Analyze customer journeys, marketing funnel performance, and campaign effectiveness across digital channels
2. Build and maintain marketing dashboards and intelligence reports to accelerate insight delivery for stakeholders
3. Develop and maintain customer segmentation models and audience definitions to support campaign, strategy, personalization, and lifecycle marketing
4. Use AI tools, prompt engineering, and LLM integrations to turn hours of reporting into minutes
5. Work with cloud data platforms to query, process, and manage large-scale customer and event datasets
6. Design and evaluate A/B tests and marketing experiments, synthesizing results into clear and actionable recommendations
7. Partner with MarTech, Marketing and Product teams to define tracking requirements and validate data from campaign and marketing platforms
8. Perform rigorous data quality checks and maintain clear documentation of metrics, data sources, and transformation logic
9. Proactively surface anomalies in customer data — traffic drops, conversion shifts, attribution gaps — before they affect decisions

Who you are

1. 3-4 years of experience in data analysis, ideally in a marketing analytics, growth, or customer intelligence function within FinTech, Banking, or Digital Products
2. Strong SQL skills — able to write complex queries confidently and always validate output before sharing with stakeholders
3. Proficiency in Python or Pyspark for data wrangling, cohort analysis, and statistical testing
4. Experience in prompt engineering or LLM integrations applied to real analytics use cases
5. Familiarity with cloud platforms for querying and managing large-scale datasets
6. Comfortable using AI productivity tools to enhance reporting workflows, draft insight narratives, and speed up exploratory analysis
7. Understanding of digital marketing measurement: attribution models, funnel metrics, cohort LTV, and campaign KPIs
8. Ability to manage shifting priorities and deliver accurate work under deadline pressure
9. Clear communication skills with both technical and non-technical stakeholders

Contact : K.Wannaporn 02-•••-•866

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