Data Analyst
KKP (Kiatnakin Phatra Financial Group) →Bangkok, Thailand
Estimated range. Confirm compensation with the employer.
Bangkok, Thailand
Estimated range. Confirm compensation with the employer.
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Listing record updated: October 16, 2026. We archive records after 60 days without an update. This date does not confirm that the employer is still hiring.
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Data Analyst role at Kiatnakin Phatra Bank Public Company Limited (kkp) in Bangkok, within the Digital & Technology division. The position focuses on identifying customer acquisition opportunities, analyzing campaign performance, designing A/B tests, building dashboards, automating regulatory reports, and deploying datamarts to support marketing and sales teams. Candidates should have 0-3 years of experience in BI or data analytics, proficiency in Python, PySpark, and SQL, and hands-on experience with marketing analytics, dashboard tools, and datamart deployment. Strong analytical, communication, and cross-functional collaboration skills are required, along with familiarity with the financial industry.
Identify new customer acquisition opportunities, optimize lead generation, and develop cross-sell/upsell strategies through data-driven insights.
Analyze campaign performance, conduct ad-hoc analysis, and deliver actionable insights to improve business outcomes.
Design, execute, and analyze A/B tests to evaluate and improve campaign effectiveness.
Design, develop, and maintain user-friendly dashboards and visualizations aligned with stakeholder requirements.
Design and deploy datamarts with optimal data pipeline integration and reconcile data from multiple sources.
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, A/B testing, campaign performance optimization, and dashboard development.
Strong analytical and problem-solving skills.
Good communication and interpersonal skills to effectively interact with cross-functional teams.
Solid understanding of the financial industry; advanced statistical methods and data modeling; proactive and innovative mindset.
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