Filter Jobs

Skills:

Power BI, Tableau, Finance, English

Job type:

Full-time

• Collect, clean, and analyze data from sales, marketing, and CRM systems.
• Build and maintain dashboards and performance reports (Power BI, Tableau, or Google Data Studio).
• Monitor and evaluate campaign results, product performance, and sales trends.
• Provide data-driven insights to support marketing strategies and business planning.
• Collaborate with sales, finance, and product teams to align business insights.
• Ensure data accuracy and consistency across all reports.
• Bachelor s degree in Business Analytics, Data Science, Statistics, Economics, or related field.
• At least 3 years of experience in data analysis, business intelligence, or commercial analytics.
• Strong skills in Excel, SQL, and data visualization tools (Power BI, Tableau, or Google Data Studio).
• Experience with CRM and marketing analytics tools is a plus.
• Analytical, detail-oriented, and comfortable presenting insights to management.
• Good command of English and Thai, both written and spoken.

Job type:

Full-time

• Department: Data Commercialization.
• As a data analyst in Infinitas, you would expect a new level of analytical experiences here. Being part of Data Innovation team, your goal is to make data useful for all stakeholders. Under the big umbrella of the leading bank in Thailand, Infinitas leverage the largest financial data sets from both traditional banking and mobile banking services. From customer digital footprint to branch, ATM and call center. We measure every single touch point to improve customer service and business performance. ...
• Job Responsibilities.
• Conduct data inventory research with product owner, business owner and IT BA to gain full understandings of data availability.
• Communicate with business owners to translate business problem/challenge into actionable analytical solution.
• Initiate EDA ideas to tag hidden opportunities for customer, product, channel and other various areas.
• Analyse digital and traditional user journey funnel and customer persona.
• Visualise data for fast decision making and insight interpretation.
• Define customer segmentations for strategy planning and marketing targeting.
• Plan holistic A/B testing campaigns to evaluate data values on business impact.
• Design and fulfill monitoring dashboards and automated reports.
• English as working language.
• Minimum of 3 years data analytics related working experiences.
• At least 1 year of working experience directly communicate to business team.
• Proficient in Python or SQL.
• Advanced hands on experiences with visualization tool.
• Strong communication and analytical thinking skills.
• Good balance of data and business knowledge.
• Fintech or banking industry.
• Internet companies with mobile application.
• Contact: K.Wannaporn 02------866.
• You have read and reviewed Krung Thai Bank Public Company Limited's Privacy Policy at https://krungthai.com/th/content/privacy-policy. The Bank does not intend or require the processing of any sensitive personal data, including information related to religion and/or blood type, which may appear on copy of your identification card. Therefore, please refrain from uploading any documents, including copy(ies) of your identification card, or providing sensitive personal data or any other information that is unrelated or unnecessary for the purpose of applying for a position on the website. Additionally, please ensure that you have removed any sensitive personal data (if any) from your resume and other documents before uploading them to the website.
• The Bank is required to collect your criminal record information to assess employment eligibility, verify qualifications, or evaluate suitability for certain positions. Your consent to the collection, use, or disclosure of your criminal record information is necessary for entering into an agreement and being considered for the aforementioned purposes. If you do not consent to the collection, use, or disclosure of your criminal record information, or if you later withdraw such consent, the Bank may be unable to proceed with the stated purposes, potentially resulting in the loss of your employment opportunity with.

Skills:

SQL, Power BI, Python

Job type:

Full-time

• วิเคราะห์ข้อมูลลูกค้า สมาชิก และพฤติกรรมการใช้บริการ เพื่อค้นหา Insight และโอกาสในการพัฒนาธุรกิจ.
• วิเคราะห์ผลการดำเนินงานของ Loyalty Program และแคมเปญ CRM พร้อมจัดทำข้อเสนอแนะเพื่อเพิ่มประสิทธิภาพ.
• จัดทำ Dashboard และรายงานผลการดำเนินงาน เพื่อสนับสนุนการตัดสินใจของผู้บริหาร.
• พัฒนา Customer Segmentation และติดตามตัวชี้วัดด้านลูกค้า เช่น Acquisition, Retention และ Engagement.
• ดึง ตรวจสอบ และวิเคราะห์ข้อมูลจากฐานข้อมูลด้วย SQL และเครื่องมือ Business Intelligence (BI).
• ประสานงานกับทีมการตลาด หน่วยงานธุรกิจ และทีม Data เพื่อสนับสนุนการวิเคราะห์และขับเคลื่อนธุรกิจด้วยข้อมูล.
• สำเร็จการศึกษาระดับปริญญาตรีขึ้นไป สาขาสถิติ วิศวกรรมศาสตร์ เศรษฐศาสตร์ บริหารธุรกิจ การตลาด หรือสาขาอื่นที่เกี่ยวข้อง.
• มีประสบการณ์ด้าน Data Analytics, CRM, Loyalty Analytics หรือ Business Intelligence อย่างน้อย 2 ปี.
• สามารถใช้งาน SQL, Microsoft Excel และ Power BI ได้เป็นอย่างดี.
• มีทักษะในการวิเคราะห์ข้อมูล และนำเสนอข้อเสนอแนะเชิงธุรกิจ.
• มีทักษะการสื่อสารและการนำเสนอ สามารถประสานงานกับผู้เกี่ยวข้องได้อย่างมีประสิทธิภาพ.
• หากมีประสบการณ์ด้าน Customer Analytics, CRM Platform หรือ Python จะได้รับการพิจารณาเป็นพิเศษ.
• ทักษะที่จำเป็นSQL.
• Power BI.
• Microsoft Excel.
• Customer Analytics.
• CRM & Loyalty Analytics.
• Dashboard Development.
• Analytical Thinking..

Skills:

Statistics, SQL, Excel

Job type:

Full-time

• Analyze collections portfolio performance (e.g., delinquency rates, roll rates, recovery rates) and provide actionable insights.
• Develop and maintain dashboards and reports to track collections KPIs and agent performance.
• Identify trends, risk segments, and behavioral patterns to improve collections strategies.
• Support strategy design such as segmentation, prioritization, and treatment optimization.
• Collaborate with Collections teams to translate business needs into analytical solutions.
• Perform ad-hoc analysis to support decision-making and ongoing initiatives.
• Ensure data accuracy, integrity, and consistency across reporting systems.
• Automate reporting processes to improve efficiency and reduce manual work.
• QualificationsBachelor s degree in Data Analytics, Statistics, Mathematics, or a related field.
• 2-4 years of experience in data analysis (experience in collections, banking, or financial services is a plus).
• Strong proficiency in SQL and Excel; experience with Python, R, or BI tools (e.g., Power BI, Tableau) is preferred.
• Good understanding of collections business is an advantage.
• Strong analytical thinking and problem-solving skills.
• Ability to communicate insights clearly to non-technical stakeholders.
• Detail-oriented with a high level of accuracy.