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Job type:

Full-time

• Support actuarial reporting and analysis activities.
• Maintain and improve actuarial data repositories and related tools.
• Help ensure data quality, consistency, and timely delivery of reports.
• Work with stakeholders to support business planning and decision-making.
• Develop analytical models and insights to support forecasting and portfolio analysis.
• Contribute to implementation and enhancement of actuarial processes and calculations.
• Assist with improving reporting efficiency and data integrity.
• Experience in actuarial, data, or analytics-related work.
• Strong analytical and problem-solving skills.
• Experience working with data and reporting processes.
• Ability to work with business and technical stakeholders.
• Good communication and collaboration skills.
• Experience with actuarial reserving, pricing, forecasting, or IFRS 17 is an advantage.

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.

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

• 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.
• Analyze customer journeys, marketing funnel performance, and campaign effectiveness across digital channels.
• Build and maintain marketing dashboards and intelligence reports to accelerate insight delivery for stakeholders.
• Develop and maintain customer segmentation models and audience definitions to support campaign, strategy, personalization, and lifecycle marketing.
• Use AI tools, prompt engineering, and LLM integrations to turn hours of reporting into minutes.
• Work with cloud data platforms to query, process, and manage large-scale customer and event datasets.
• Design and evaluate A/B tests and marketing experiments, synthesizing results into clear and actionable recommendations.
• Partner with MarTech, Marketing and Product teams to define tracking requirements and validate data from campaign and marketing platforms.
• Perform rigorous data quality checks and maintain clear documentation of metrics, data sources, and transformation logic.
• Proactively surface anomalies in customer data traffic drops, conversion shifts, attribution gaps before they affect decisions.
• Who you are.
• 3-4 years of experience in data analysis, ideally in a marketing analytics, growth, or customer intelligence function within FinTech, Banking, or Digital Products.
• Strong SQL skills able to write complex queries confidently and always validate output before sharing with stakeholders.
• Proficiency in Python or Pyspark for data wrangling, cohort analysis, and statistical testing.
• Experience in prompt engineering or LLM integrations applied to real analytics use cases.
• Familiarity with cloud platforms for querying and managing large-scale datasets.
• Comfortable using AI productivity tools to enhance reporting workflows, draft insight narratives, and speed up exploratory analysis.
• Understanding of digital marketing measurement: attribution models, funnel metrics, cohort LTV, and campaign KPIs.
• Ability to manage shifting priorities and deliver accurate work under deadline pressure.
• Clear communication skills with both technical and non-technical stakeholders.
• 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, Python, SAS

Job type:

Full-time

• Manage and plan the data direction and strategy for business need.
• Drive successful of data insight initiatives and effective collaboration with stakeholders.
• Analyze business requirements and identify business problems into an analytics question and gain a deep understanding of models and algorithms capability and limitations.
• Create reports and dashboards based on data mining, evaluation, analysis, and visualization.
• Collaborate with key stakeholders including the Executive, Business Units, Data and IT teams to identify opportunities for leveraging company data to drive business solutions.
• Coordinate with the software developers, data engineers and data scientists to oversee the delivery of analytics solutions and formulate strategy for technology adoption and impact measurement.
• 5 years of experience as a data analyst or business data analyst.
• Advanced knowledge in SQL and experience working with relational databases, query authoring (SQL) as well as working familiarity with a variety of databases.
• Experience with data studio, Big Query.
• Experience with R, Python, SAS, SPSS, other analytic tools.
• Experience supporting and working with cross-functional teams in a dynamic environment..

Experience:

3 years required

Skills:

Compliance, Microsoft Office, Excel, English

Job type:

Full-time

• Improve the customer database quality and animate the retail teams to share best practices in customer data capture and data security.
• Ensure regular monitoring of the customer database by developing dedicated analyses and reports.
• Improve the customer data quality through the in-house data quality management tool by deduplicating customers and fix means of contact in error.
• Develop assets to train sales team on customer data management.
• Manage and ensure the compliance of customer database and its security.
• Be responsible for customer knowledge for the subsidiary by sharing retail, omnichannel, and customer-oriented insights.
• Analyze customer behaviors and retail performance, and share the analysis with all retail stakeholders to support strategic decisions.
• Anticipate local trends and customer structure evolution thanks to in-depth customer analyses.
• Accompany the customer targeting initiative with CRM analyses.
• Ensure the data quality and relevancy of the clienteling activities.
• Centralize and harmonize all customer performance related reports of the subsidiary.
• Identify the local Customer Performance KPIs to be monitored.
• Develop and maintain new local reports to follow customer KPIs by store on a regular basis.
• Define the customer performance dashboard and report strategy to streamline the existing report package.
• Act as an ambassador of customer excellence, championing the adoption and impact of customer management tools.
• Collaborate and have regular meetings with retail teams to understand customer insights and seek room for improvement on customer data usage.
• Support the wider team with driving initiatives to develop relationships and create special moments for customers.
• Contribute to the organization of customer events, including invitations, outreach, RSVPs, and logistics.
• Lead and deploy the group projects in subsidiary according to local market specificities.
• Accompany and implement group analytics initiatives, such as customer segmentations, and animate them across the subsidiary.
• Work in close collaboration with CX, OPS, Retail Compliance, and IT teams to deploy projects related to customer relations and data.
• University graduates in related disciplines with at least 3 - 5 years of experiences in CRM or customer data management, preferably in retail or hospitality business environment.
• Proficiency in Microsoft Office suite (Advanced Excel is a must).
• Good knowledge in BI tools (Power BI and/or Cognos IBM) is a plus.
• Ability to analyze and synthesize.
• Customer and business oriented.
• Organized, precise, adaptable, with a balance of strategy and execution.
• Discretion and confidentiality as priority.
• Demonstrated strong interpersonal skills with a team player attitude.
• Ability to work independently and to adapt to a fast-paced, changing environment.
• Fluent in English with excellent oral and written communication skills.

Experience:

4 years required

Skills:

Statistics, SQL, Tableau, English

Job type:

Full-time

• Analyze user behavior, customer journeys, and product performance.
• Conduct funnel, retention, cohort, segmentation, and engagement analyses.
• Identify optimization opportunities and provide actionable business insights.
• Support ad-hoc analytical requests from Product, Marketing, Business, and Management teams.
• Translate business questions into measurable metrics and analytical frameworks.
• Present clear insights and recommendations to stakeholders.
• Develop and maintain dashboards, reports, and KPI tracking frameworks.
• Monitor key metrics, identify trends, and investigate anomalies.
• Define success metrics for product features and initiatives.
• Support A/B testing and evaluate feature adoption, user engagement, and business impact.
• Collaborate with Product Owners and Data Engineers on tracking requirements.
• Validate data collection, event tracking, and reporting accuracy.
• Bachelor s degree in Computer Science, Statistics, Mathematics, Data Analytics, or a related field.
• 4-7 years of experience in Product Analytics, Data Analytics, Business Intelligence, or a related role.
• Strong SQL skills with experience querying and analyzing large-scale datasets.
• Hands-on experience with data warehouses such as BigQuery, Snowflake, Redshift, or similar platforms.
• Experience building dashboards and KPI reports using Tableau, Power BI, Looker, or similar BI tools.
• Strong experience in product analytics, including user journey analysis, funnel optimization, retention analysis, churn analysis, and customer segmentation.
• Experience defining product KPIs, measuring feature performance, and supporting A/B testing or experimentation initiatives.
• Experience with mobile app analytics and digital analytics platforms such as GA4, Firebase Analytics, or AppsFlyer.
• Experience with product analytics tools such as Amplitude, Mixpanel, Heap, or similar platforms.
• Strong analytical, communication, and stakeholder management skills with the ability to translate data into actionable business insights.
• Experience in OTT, Streaming, Subscription, E-commerce, Digital Media, or other consumer-facing digital products is highly preferred.
• Knowledge of Python or R for data analysis and automation is a plus.
• Fluent in Thai with good command in English.

Experience:

3 years required

Skills:

Product Development, Publishing, Statistics

Job type:

Full-time

• Department: Marketing.
• Company: บริษัท จีเอ็มเอ็ม มิวสิค จำกัด (มหาชน).
• Analyze data from various channels to develop business strategies, such as increasing sales, recommending suitable marketing campaigns, or providing insights for product development.
• Identify correlations across diverse data sources to perform a thorough analysis.
• Prepare data for analysis by designing data ingestion processes, creating data warehouses, defining related data dimensions, and ensuring data readiness. Additionally, determine methods for data publishing across different channels to maximize utility.
• Perform data visualization and reporting to communicate insights effectively..
• Bachelor s degree in Statistics, Finance, Economics, Computer Science, or a related field.
• At least 3 years of experience in data management and development.
• Advanced skills in Excel or Google Sheets.
• Previous experience with Power BI, Google Data Studio, or dashboards.
• Basic familiarity with tools such as Fanpage Karma or Supermetrics.
• Ability to manage and integrate data from multiple sources.
• Strong attention to detail, high responsibility, and at least 1 year of experience in the data field..
• ประสบการณ์ 1 ปีขึ้นไป.
• จำนวน 1 อัตรา.

Job type:

Full-time

Skills:

Excel, English

Job type:

Full-time

• Analyze operational processes and recommend improvements to enhance efficiency and effectiveness.
• Collect, interpret, and report data related to operational performance.
• Develop and implement standard operating procedures (SOPs).
• Collaborate with cross-functional teams to resolve operational issues.
• Support the implementation of new systems and technologies.
• Prepare regular reports for management on operational metrics and KPIs.
• Strong analytical and problem-solving skills.
• Excellent communication and interpersonal abilities.
• Proficiency in data analysis tools (e.g., Excel, PowerBI).
• Proficiency in English communication is advantageous.
• Ability to work independently and as part of a team.