Filter Jobs

Skills:

Compliance, Statistics, Research

Job type:

Full-time

• Develop standards, practices, and requirement for digital signature, content and data management as well as ensure consistent compliance of all implementations.
• Develop existing and future requirement for use of digital signature, content and data management system to meet data need to serve company strategy and external trends.
• Develop a strategic and tactical plan in alignment with current and future business requirement on data management.
• Identify the key data required to run the projects as well as define key issues and recommendations to solve the problems.
• Facilitate data council to provide guidelines and recommendation on business requirements, practice, and compliance.
• Communicate standards and practices regarding data management to relevant stakeholders, and monitor all implementation to ensure efficiency.
• Define, manage, and update overall data catalog as well as collate data definition, sources, and owners for key data required for the business.
• Provide information to business users as required.
• Professional Knowledge & Experiences.
• Bachelor s Degree in computer science, statistics, or operations research or related technical discipline.
• 10 years or more experience in Data Governance.
• Experience in working with digital signature, content and data management related to data architecture, integration, classification, strategy, quality management, security and privacy standards.
• Understand industry processes and uses of data throughout the lifecycle in the functions/data domains.
• Knowledge of industry and ability to translate business needs into data.
• Additional Desirable Qualification.
• CORE Competencies.

Skills:

Power BI, Tableau, SQL

Job type:

Full-time

• Dashboard Development & Visualization Design, build, and maintain interactive dashboards and reports that provide clear, accurate, and actionable business insights..
• Business Requirement Gathering Collaborate with stakeholders to understand business needs, define reporting requirements, and translate them into effective visualization solutions..
• Data Preparation & Modeling Prepare, clean, and model data from multiple sources to ensure accuracy, consistency, and usability for reporting and analytics..
• Data Storytelling & Insight Generation Analyze data trends and present insights through compelling visual storytelling to support strategic and operational decision-making..
• Support Data Adoption & Power Users Program Promote self-service analytics by supporting end users, conducting training sessions, and enabling power users across departments..
• Governance & Standardization Ensure dashboards and reports follow data governance policies, visualization standards, and best practices for consistency and quality..
• Specification;.
• Bachelor's degree in Information & Technology.
• Minimum 2 years experience in Experience with BI tools: Power BI / Qlik Sense / Tableau.
• Strong SQL skills (data extraction, joins, aggregation).
• Understanding of data modeling concepts (fact/dimension).
• Experience working with Data Warehouse / Cloud data platform (e.g. Microsoft Fabric is a plus).
• Working Location: The Mall Ramkhamhaeng (Head Office), Airport link (Ramkhamhaeng Station).

Skills:

SQL, Oracle, Data Warehousing

Job type:

Full-time

• Bachelor s degree in computer science, Information Systems, Engineering, or a related field.
• At least 3 years of experience as a Data Engineer or in a related role.
• Hands-on experience with SQL, database management (e.g., Oracle, SQL Server, PostgreSQL), and data warehousing concepts.
• Experience with ETL/ELT tools such as Talend, Apache NiFi, or similar.
• Proficiency in programming languages like Python, Java, or Scala for data manipulation and automation.
• Experience with cloud platforms such as AWS, Azure, or GCP.
• Knowledge of big data technologies such as Hadoop, Spark, or Kafka.
• Strong understanding of data governance, security, and privacy frameworks in a financial services context.
• Excellent problem-solving skills and attention to detail.
• Banking or financial services industry experience, especially in retail or wholesale banking data solutions.
• Certification in cloud platforms (e.g., AWS Certified Data Engineer, Microsoft Azure Data Engineer, Google Professional Data Engineer).
• Contact: K.Chalida 08-------993.
• 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.

Job type:

Full-time

• เรียกรายงานรับส่งไฟล์เพื่อขอกรมธรรมกับบริษัทประกัน.
• เรียกรายงานยกเลิกประกันกับบริษัทประกัน.
• ตรวจสอบความถูกต้องของการรับกรมธรรม์จากบริษัทประกัน.
• ติดต่อประสานงานกับบริษัทประกันและหน่วยงานที่เกี่ยวข้อง.
• ติดตามกรมธรรม์ค้างรับ.
• จบปริญญาตรี สาขาใดก็ได้ที่เกี่ยวข้องกับการปฎิบัติงาน.
• มีทักษะความรู้เกี่ยวกับคอมพิวเตอร์พื้นฐาน: MS Word, MS excel เป็นอย่างดี.
• มีประสบการณ์เกี่ยวกับงานประกันภัยหรืออื่นๆที่เกี่ยวข้อง.

Experience:

3 years required

Skills:

Power BI, Python, SQL, English

Job type:

Full-time

• Build propensity model to select leads at partner s site.
• Track portfolio performance and work with marketing team to find innovative ways to improve portfolio performance.
• Document processes, code, and model decisions for transparency and reproducibility.
• Build and maintain reports / dashboards (Power BI and Power Pivot).
• Bachelor s or Master s degree in computer science, Engineering, or related field.
• 1-3 years of hands-on experience in data analyst / data science.
• Strong proficiency in Python and SQL for data manipulation and propensity model development.
• Proficiency in Power BI.
• Excellent problem-solving and communication skills.
• Good command in English.

Skills:

SAP, Software Development

Job type:

Full-time

• ตรวจสอบ และปรับปรุงข้อมูลส่วนกลาง ระบบงาน SAP.
• ประสานงานกับผู้ใช้งาน ทีม IT, บริหารสินค้า, ศูนย์การค้า, บัญชี, การเงิน.
• ประสานงานกับผู้ใช้งานในระบบ เกี่ยวกับปัญหา และการแก้ไข.
• ปรับปรุงการทำงานของผู้ใช้งานตามระบบงาน ให้เกิดประสิทธิภาพยิ่งขึ้น.
• จบการศึกษาระดับ ปริญญาตรี สาขาวิทยาการคอมพิวเตอร์ คอมพิวเตอร์ธุรกิจ สารสนเทศ หรือ สาขาอื่นๆ ที่เกี่ยวข้อง.
• มีประสบการณ์ในการวิเคราะห์ปรับปรุงข้อมูลส่วนกลาง ระบบงาน SAP 2 ปีขึ้นไป.
• มีความสามารถในการวิเคราะห์และออกแบบระบบงาน วางแผน ประสานและติดตามงาน.
• มีความรู้ Software Development Life Cycle (SDLC) และ SAP.
• มีความคิดสร้างสรรค์ และรับผิดชอบในการปฏิบัติงาน.
• สามารถในการให้คำแนะนำและการติดตามข้อมูลข่าวสาร.
• มีความรู้ภาษาอังกฤษในระดับดี.
• สถานที่ปฏิบัติงาน: เดอะมอลล์รามคำแหง (สำนักงานใหญ่), Airport Link รามคำแหง.

Job type:

Full-time

• จัดทำชุดข้อมูลการวิเคราะห์ และโมเดลการวิเคราะห์ด้วยเทคโนโลยี Machine Learning และ Data Science รวมถึงการวิเคราะห์ข้อมูลเชิงลึก (Deep Insight) เพื่อการสร้างแบบจำลองในการนำไปใช้ทำนาย คาดการณ์ (Predictive) ตอบโจทย์กับทางธุรกิจให้กับองค์กร.
• Data Modeling & ML: พัฒนา, ทดสอบ และนำ Machine Learning Models ไปใช้จริง (Production) เพื่อแก้ไขปัญหาทางธุรกิจ เช่น การทำนายยอดขาย, การ Optimization, ตรวจจับทุจริต เป็นต้น.
• Advanced Analytics: ใช้วิธีการทางสถิติขั้นสูงและอัลกอริทึม เพื่อค้นหารูปแบบ (Pattern ...
• Dashboard & Reporting: พัฒนาและดูแล Dashboard (Power BI) เพื่อติดตาม KPI และรายงานผลการดำเนินงานธุรกิจแบบ Real-time.
• Business Analysis: วิเคราะห์ข้อมูลเพื่อหา Insight, แนวโน้ม (Trends) และสาเหตุของปัญหาทางธุรกิจ.
• Data Interpretation: แปลผลข้อมูลให้เป็นคำแนะนำเชิงกลยุทธ์ (Actionable Insights) เพื่อเพิ่มยอดขาย หรือเพิ่มประสิทธิภาพการทำงาน.
• Insight Communication: สื่อสารผลการวิเคราะห์ที่ซับซ้อนให้เข้าใจง่ายผ่านการทำ Visualization และการนำเสนอต่อทีมบริหาร.
• ปริญญาตรี/โท สาขาวิทยาการคอมพิวเตอร์, สถิติ, คณิตศาสตร์, วิศวกรรมศาสตร์ หรือสาขาที่เกี่ยวข้อง.
• ประสบการณ์ทำงานด้าน Data Science/Machine Learning 1-3 ปี.
• หรือ ประสบการณ์ทำงานด้าน Data Analytics/Business Intelligence 1-3 ปี.
• ทักษะการเขียนโปรแกรม Python (Pandas, NumPy, Scikit-learn, TensorFlow/PyTorch) อย่างดี.
• เชี่ยวชาญการใช้ SQL สำหรับดึงข้อมูลในระดับสูงมี.
• ทักษะในการใช้เครื่องมือ Visualization (Power BI).
• มีความเข้าใจบริบททางธุรกิจ (Business Acumen) และสามารถสื่อสารข้อมูลที่ซับซ้อนได้ดี.

Job type:

Full-time

• จัดทำข้อมูลวิเคราะห์ยอดขาย และติดตามข้อมูลยอดขาย เพื่อ monitor การเปลี่ยนแปลงเปรียบเทียบกับช่วงก่อน หรือแผนที่กำหนด และหากพบว่ายอดขายลดลงหรือมีความผิดปกติ ให้สรุปข้อมูลแจ้งผู้บังคับบัญชา เพื่อนำไปใช้พิจารณาและวางแผนการทำงานลำดับถัดไป.
• ตรวจสอบฐานข้อมูล และจัดทำรายงานทุกระบบ เช่น VSMS, SIS, POWER BI ฯลฯ.
• ควบคุมและตรวจสอบ เงินจูงใจ Incentive ของทีม Operation 3 ทีม (SI-SR-POS).
• รวบรวมและวิเคราะห์เปรียบเทียบข้อมูลคู่แข่งจากรายงานต่างๆ เพื่อเป็นข้อมูลในการบริหาร.
• ควบคุมและตรวจสอบ รางวัลและกิจกรรมส่งเสริมการขาย.
• วิเคราะห์ วางแผนและพัฒนาระบบข้อมูล Dashboard ร่วมกับผู้บังคับบัญชา.
• Tracking สรุปข้อมูลการจัดทำกิจกรรม Market Service ทั่วประเทศ R.1-8 โดยการตรวจสอบข้อมูลจากเอกสารการเบิกสินค้าสำหรับทำกิจกรรม และ recheck กับระบบ SVM เพื่อตรวจสอบความถูกต้อง ครบถ้วน.
• งานอื่นๆ ตามที่ได้รับมอบหมาย.
• Job Skills & Qualifications.
• ปริญญาตรีหรือสูงกว่าในสาขาที่เกี่ยวข้อง เช่น สถิติ คณิตศาสตร์ เศรษฐศาตร์ หรือสาขาที่เกี่ยวข้องกับธุรกิจ.
• มีประสบการณ์ในการทำงานด้านวิเคราะห์ข้อมูลอย่างน้อย 1-2 ปี.
• มีความรู้ความเข้าใจในเครื่องมือวิเคราะห์ข้อมูล เช่น SQL, Python, R, Tableau, Power BI เป็นต้น.
• มีความสามารถในการนำเสนอข้อมูลที่ซับซ้อนให้เข้าใจง่าย.
• มีประสบการณ์ในการทำงานในอุตสาหกรรมค้าปลีก (Retail).
• มีความรู้ความเข้าใจในหลักการทางการตลาด.

Skills:

Internal Audit, Python, SQL, English

Job type:

Full-time

• Get requirement form various team i.e., internal audit, Retails audit for preparing data.
• Study data source & data structure, Carrying out preprocessing of structured and unstructured data.
• Design data base for store data from source.
• Develop query for import and data cleansing, Data mining or extracting usable data from valuable data sources. Enhancing data collection procedures to include all relevant information for developing analytic systems.
• Processing, cleansing, and validating the integrity of data to be used for analysis.
• Developing prediction systems and machine learning algorithms. Using machine learning tools to select features, create and optimize classifiers. Analyzing large amounts of information to find patterns and solutions.
• Co-ordinate with developer team to prepare dashboard report for resenting results in a clear manner.
• Propose solutions and strategies to tackle business challenges and Collaborate with Business and IT teams.
• Maintenance database and optimized for best performance.
• Backup, retore, testing data from backup to make sure that all system functional.
• Bachelor s or master degree in IT and related field.
• Experience with Python, SQL Query language, Minimum of 3 years experience.
• Data analytic skills.
• Understand Business process, operation, data structure and data flow.
• Good inter personal skill and negotiation.
• English communication, Computer literacy (i.e. Excel, Power Point, Word, etc.).

Job type:

Full-time

• We are looking for an HR Data Analytics to join our team and support data-driven decision-making across the HR function. This role is suitable for a candidate with hands-on experience in HR data, reporting, dashboard development, and data analysis..
• Support the management, maintenance, and validation of employee data across the company and group companies, ensuring data accuracy, security, and compliance.
• Develop and implement BI (Business Intelligence) to enhance data-driven decision-making processes in HR.
• Design, develop, and maintain interactive dashboards and reports to provide real-time insights into HR metrics and trends.
• Analyze HR data to identify patterns, trends, and insights that inform strategic decisions and initiatives.
• Support the maintenance of HR datamarts, databases, and structured data sets for reporting and analysis.
• Collaborate with HR and business leaders to understand data requirements and deliver actionable insights that drive HR and business outcomes.
• Stay abreast of industry trends and advancements in HR analytics and data management, incorporating best practices into our operations..
• If you meet below qualifications and are ready to take on a challenging role, we encourage you to apply..
• Bachelor's or Master's degree in Human Resources, Business Analytics, Data Science, or a related field.
• Around 3 years of experience in HR data analytics, HR reporting, business analytics, data analysis, or a related role.
• Strong proficiency in BI tools (e.g., Power BI, Tableau) and data visualization techniques.
• Expertise in data management, including experience with datamarts, databases, and data warehousing.
• Excellent analytical skills, with the ability to translate complex data sets into clear and actionable insights.
• Strong communication and interpersonal skills, with the ability to present data-driven insights to non-technical audiences.

Skills:

ETL, Compliance, SQL

Job type:

Full-time

• Design, implement, and manage end-to-end data pipelines architectures.
• Configure and maintain data ingest workflows (ETL) across several production systems.
• Transform data into Data Mart, Data Model that can be easily analyzed.
• Ensure data accuracy, high usability, timely availability, and strong performance.
• Demonstrate a hands-on development mindset with a willingness to troubleshoot and solve complex problems.
• Ensure compliance with data governance and security policies.
• Minimum of 3 years of work experience as a Data Engineer.
• Strong SQL skills with knowledge of NoSQL tools and languages.
• Strong proficiency in Python scripting.
• Experience with AWS Cloud Data Platform services such as S3, Redshift, Glue, Step Functions, and Lambda.
• Experience with other cloud data platforms such as GCP or Azure is an advantage.
• Experience working on Big Data platform is an advantage.
• Strong business understanding, with the ability to identify business problems, define business goals, and locate relevant data.

Experience:

5 years required

Skills:

ETL, Compliance, Automation

Job type:

Full-time

• Design, build, and maintain scalable and secure data pipelines on cloud platforms (AWS/GCP/Azure). - Architect and implement data lake, data warehouse, and data mart solutions for enterprise workloads.
• Develop and optimize ETL/ELT pipelines using modern tools and cloud-native services.
• Work closely with Data Analysts, Data Scientists, and Business teams to support analytical and ML use cases.
• Ensure high data quality, governance, security, and compliance across all data systems.
• Implement best practices in data modeling, data partitioning, orchestration, and workflows.
• Lead performance tuning, cost optimization, and reliability improvements for cloud data pipelines.
• Build CI/CD pipelines and infrastructure as code (IaC) for data platform automation.
• Evaluate and introduce new technologies and frameworks to enhance the data ecosystem.
• Mentor junior engineers and lead technical discussions within the data team.
• Requirements:Bachelor's or master's in computer science, Engineering, Data Science, or related fields.
• 5 years of experience in Data Engineering or related fields.
• AWS: Redshift, Glue, S3, EMR, Kinesis, Lambda GCP: BigQuery, Dataflow, Pub/Sub, Dataproc, GCS.
• Azure: Synapse, ADLS, Data Factory, Databricks.
• Proficient in Python, SQL, and at least one distributed processing framework (Spark, Beam, Databricks).
• Strong experience with ETL/ELT pipelines and data workflow orchestration tools (Airflow, Cloud Composer, Dagster, Prefect).
• Experience with IaC (Terraform, CloudFormation, CDK).
• Excellent understanding of data modeling (OLTP, OLAP, star schema, snowflake schema).
• Familiarity with DevOps and CI/CD for data engineering.
• Strong problem solving skills and ability to work in a fast paced environment.
• About NTT DATA
• NTT DATA is a $30 billion business and technology services leader, serving 75% of the Fortune Global 100. We are committed to accelerating client success and positively impacting society through responsible innovation. We are one of the world's leading AI and digital infrastructure providers, with unmatched capabilities in enterprise-scale AI, cloud, security, connectivity, data centers and application services. Our consulting and industry solutions help organizations and society move confidently and sustainably into the digital future. As a Global Top Employer, we have experts in more than 50 countries. We also offer clients access to a robust ecosystem of innovation centers as well as established and start-up partners. NTT DATA is part of NTT Group, which invests over $3 billion each year in RD.
• Equal Opportunity Employer
• NTT DATA is proud to be an Equal Opportunity Employer with a global culture that embraces diversity. We are committed to providing an environment free of unfair discrimination and harassment. We do not discriminate based on age, race, colour, gender, sexual orientation, religion, nationality, disability, pregnancy, marital status, veteran status, or any other protected category. Join our growing global team and accelerate your career with us. Apply today.
• Third parties fraudulently posing as NTT DATA recruiters
• NTT DATA recruiters will never ask job seekers or candidates for payment or banking information during the recruitment process, for any reason. Please remain vigilant of third parties who may attempt to impersonate NTT DATA recruiters whether in writing or by phone in order to deceptively obtain personal data or money from you. All email communications from an NTT DATA recruiter will come from an nttdata.com email address. If you suspect any fraudulent activity, please contact us.

Skills:

Business Development, Statistics

Job type:

Full-time

• Provide strategic guidance and actionable insights through business intelligence and market and industry analysis to top management in order to achieve sustainable business continuity.
• Looking for a candidate with experience in marketing, campaign execution and analysis, as well as the ability to develop and implement marketing ideas..
• Major Tasks / Responsibilities.
• Lead the development of data solutions and delivering customer and business insights to identify business opportunities or resolve business challenges.
• Translate business problem statements into analysis requirements and work with BUs to define best business outcomes.
• Manage projects, outcomes, resources, proposed proposals or opportunities, and overall execution of the corporate exercises, to ensure effective alignment with organization objectives.
• Advise and provide recommendation on project feasibility studies and project planning, to ensure projects achievement and minimize risks.
• Coordinate with related team and functions to create mutual understanding on expectations, processes, standards, and solutions for corporate strategy activities.
• Bachelors or Masters in Data Analytics, Statistics, Computer Science, Communications or related fields.
• Having experience in retail market is a plus.
• Having experience in marketing or campaign execution is a plus.
• Experience in a major financial with large-scale data or similar program management experience.
• At least 5 years in a management role, with board level change or transformation leadership experience.
• Advanced communications, marketing, or journalism experience.
• Good experience using business intelligence tools and data visualization best practices.
• Strong storytelling and communication skills.
• Strong analytical and problem-solving skills.
• Familiarity with data validation tools.

Skills:

Statistics, Big Data, Python

Job type:

Full-time

• Formulates advance data analytic, predictive analytic to proactively solve problems and/or create solutions for future business needs (Krungsri Auto App).
• Data Cleansing and Processing-massage and organize data for further advance analytic.
• Correlate disparate datasets.
• Develop new analytical methods and machine learning models (Personalized offering, Event trigger on App).
• Identify new business questions that can add value to organization.
• Conduct causality experiments by applying A/B experiments or any sciences-based approach to identify what best for determined business objectives.
• Discover and create new data features leading to data solutions creation.
• Using data visualization technique and presenting clear outcome as storytelling.
• Apply now if you have these advantages.
• Bachelor degree in Computer Science, Mathematics Science, Statistics Science, Computer Engineering or whoever having confident and ability enough to called self as Data Scientist.
• Must have experience in personalize recommendation and offering for mobile application users.
• 5+ years of experience in Telecom, Banking, Financing and Insurance preferred having 2 industries from the lists.
• 2+ years of experience in Big Data or AI/ML projects.
• 2+ years of experience in Enterprise Data Warehouse and/or data mining.
• Experience in solving business questions projects.
• Strong in Mathematics & Statistics.
• Strong in programming skill: prefer R, Python, SQL.
• Why join Krungsri?.
• As a part of MUFG (Mitsubishi UFJ Financial Group), we a truly a global bank with networks all over the world.
• We offer a striking work-life balance culture with hybrid work policies (3 days in office per week).
• Unbelievable benefits such as attractive bonuses, employee loan with special rates and many more.
• Apply now before this role is close. **.
• FB: Krungsri Career(http://bit.ly/FacebookKrungsriCareer [link removed]).
• LINE: Krungsri Career (http://bit.ly/LineKrungsriCareer [link removed]).
• Talent Acquisition Department
• Bank of Ayudhya Public Company Limited
• 1222 Rama III Rd., Bangpongpang, Yannawa, Bangkok 10120
• สอบถามข้อมูลเพิ่มเติม: Talent Acquisition Center 0-2-----000.
• หมายเหตุ ธนาคารมีความจำเป็นและจะมีขั้นตอนการตรวจสอบข้อมูลส่วนบุคคลเกี่ยวกับประวัติอาชญากรรมของผู้สมัคร ก่อนที่ผู้สมัครจะได้รับการพิจารณาเข้าร่วมงานกับธนาคารกรุงศรีฯ.
• Remark: The bank needs to and will have a process for verifying personal information related to the criminal history of applicants before they are considered for employment with the bank.
• Applicants can read the Personal Data Protection Announcement of the Bank's Human Resources Function by typing the link from the image that stated below.
• EN (https://krungsri.com/b/privacynoticeen).
• ผู้สมัครสามารถอ่านประกาศการคุ้มครองข้อมูลส่วนบุคคลส่วนงานทรัพยากรบุคคลของธนาคารได้โดยการพิมพ์ลิงค์จากรูปภาพที่ปรากฎด้านล่าง.
• ภาษาไทย (https://krungsri.com/b/privacynoticeth).

Skills:

SAP, SQL, Good Communication Skills

Job type:

Full-time

• Design, implement and deploy SAP PM data migration solutions to achieve defined business goals.
• Be part of the project delivery team, leading and supporting end-to-end SAP PM implementation and data migration workstreams.
• Responsible for creating requirement traceability matrix, design documents, data migration mapping documents, and test scripts.
• Drive discussions with client business during blueprint phase to gather requirements, obtain solution design sign-off, demo configured solutions, and facilitate final UAT sign-off.
• Maintain skills in SAP PM application process design, configuration, and data migration best practices.
• Support SAP application design, development, integration, testing, deployment, and technical architecture related to PM and data migration.
• Execute data migration activities including extraction, cleansing, transformation, loading, and validation of SAP PM data objects.
• Support cutover planning, mock cutover runs, and go-live execution to ensure zero data loss and business continuity.
• QualificationsAt least 1 years of experience in SAP modules such as PM, MM, FICO, CO, PS and Data Migration or other SAP modules.
• Hands-on experience with SAP PM master data objects and data migration tools LSMW, BAPI, SAP Migration Cockpit.
• Experience with SAP S/4HANA is preferred.
• Familiarity with SAP Activate methodology is an advantage.
• ABAP or SQL knowledge for data extraction and validation is a plus.
• Good communication skills able to engage with both technical and business stakeholders.
• Good logical and analytical thinking with strong attention to data accuracy and quality.
• Ability to work under pressure during critical cutover and go-live periods.
• We are hiring Analyst to Senior Consultant levels.

Experience:

3 years required

Job type:

Full-time

• Support and maintain monthly ETL processes for actuarial data workflows.
• Provide technical support for Actuarial and Reinsurance teams.
• Develop, modify, and maintain stored procedures, SQL scripts, and SSIS packages.
• Investigate and resolve data quality and consistency issues.
• Perform technical troubleshooting and root cause analysis for data-related problems.
• Assist in developing and maintaining data pipelines and integration workflows.
• Prepare and maintain technical documentation for data processes and systems.
• Collaborate with stakeholders to understand business requirements and translate them into technical solutions.
• Contribute to process improvements and knowledge sharing within the team.
• ABOUT YOU
• 0-3 years of experience in Data Engineering, Data Analytics, or a related field.
• Hands-on experience with SSMS, SSIS, Databricks, and Azure Cloud Services.
• Proficiency in T-SQL / SQL, with experience in Spark and Python.
• Strong understanding of Microsoft SQL Server (MSSQL) and Azure Blob Storage.
• Growth mindset with a proactive and solution-oriented attitude.
• Ability to work independently and collaboratively in a team environment.
• Strong communication skills in English and Thai, both written and spoken.
• Nice to have
• Knowledge of the insurance industry, particularly Actuarial or Reinsurance domains.
• Familiarity with WTW Unify or IBM DB2 (AS400) environments.
• WHY AMARIS?
• Global Diversity: Be part of an international team of 110+ nationalities, celebrating diverse perspectives and collaboration.
• Trust and Growth: With 70% of our leaders starting at entry-level, we're committed to nurturing talent and empowering you to reach new heights.
• Continuous Learning: Unlock your full potential with our internal Academy and over 250 training modules designed for your professional growth.
• Vibrant Culture: Enjoy a workplace where energy, fun, and camaraderie come together through regular afterworks, team-building events, and more.
• Meaningful Impact: Join us in making a difference through our CSR initiatives, including the WeCare Together program, and be part of something bigger.
• Equal opportunity
• Amaris Consulting is proud to be an equal opportunity workplace. We are committed to promoting diversity within the workforce and creating an inclusive working environment. For this purpose, we welcome applications from all qualified candidates regardless of gender, sexual orientation, race, ethnicity, beliefs, age, marital status, disability or other characteristics.
• Who are we?
• Amaris Consulting is an independent technology consulting firm providing guidance and solutions to businesses. With more than 1000 clients across the globe, we have been rolling out solutions in major projects for over a decade - this is made possible by an international team of 7,600 people spread across 5 continents and more than 60 countries. Our solutions focus on four different Business Lines: Information System & Digital, Telecom, Life Sciences and Engineering. We're focused on building and nurturing a top talent community where all our team members can achieve their full potential. Amaris is your steppingstone to cross rivers of change, meet challenges and achieve all your projects with success.
• Brief Call: Our process typically begins with a brief virtual/phone conversation to get to know you! The objective? Learn about you, understand your motivations, and make sure we have the right job for you!
• Interviews (the average number of interviews is 3 - the number may vary depending on the level of seniority required for the position). During the interviews, you will meet people from our team: your line manager of course, but also other people related to your future role. We will talk in depth about you, your experience, and skills, but also about the position and what will be expected of you. Of course, you will also get to know Amaris: our culture, our roots, our teams, and your career opportunities!
• Case study: Depending on the position, we may ask you to take a test. This could be a role play, a technical assessment, a problem-solving scenario, etc.
• As you know, every person is different and so is every role in a company. That is why we have to adapt accordingly, and the process may differ slightly at times. However, please know that we always put ourselves in the candidate's shoes to ensure they have the best possible experience.
• We look forward to meeting you!

Skills:

Compliance, SQL, Visio

Job type:

Full-time

• For all RDT s requirement and enhancement, Provide data availability analysis, data source, data extraction criteria, sign off all the RDT changes, testing and ensure the correct result, together with related Domain expert, Data owner and support functions.
• Propose solutions to resolve issues/requirements and confirm final data extraction logic with IT-RDT team.
• Support and/or manage day-to-day DQ issue and/or questions from BOT, and provide sol ...
• Maintain RDT Center parameters.
• Ensure the submission or resubmission of all data tables are performed accurately, completely, within internal schedule and BOT s schedule, including daily monitoring and improving submission processes.
• Responsible with Domain expert and Data owner and IT-RDT to ensure that RDT Data validation/adjustment are executed in due course and effective manner (there are over 20 functions involved for RDT Credit).
• Sign off all the RDT changes, testing and ensure the correct result together with related Domain experts, Data Owners, and support functions.
• Establish and maintain RDT operating manual documents.
• Provide monthly dashboard to all related functions for all submissions.
• Coordinate and support RDT Controller for any questions raised by BOT and/or our compliance.
• Coordinate and support RDT Model for any subjects relating to RDT enhancement.
• Apply now if you have these advantages.
• Bachelor s degree or higher in Computer Science / Management Information System or any related field.
• Experience in Business Analyst / Data Engineer / Data Analyst / Data Governance more than 6 years for team lead.
• Experience in regulatory data management,its relationship and dependencies.
• Well-versed in banking industry knowledge and strong in data-related skills for senior / team leader level.
• Well-versed in RDT regulation literacy.
• Advance Business Analytical skill, Business Rules and Business Solutions.
• Advance Data Model Mindset.
• Advance SQL/ Visio.
• Microsoft Office: Excel/ Word/ Power Point.
• Data profiling with variety data sources.
• Ad-hoc management.
• Well interpersonal skill with IT/Domain Expert/Data Owner.
• Why join Krungsri?.
• As a part of MUFG (Mitsubishi UFJ Financial Group), we a truly a global bank with networks all over the world.
• We offer a striking work-life balance culture with hybrid work policies (3 days in office per week).
• Unbelievable benefits such as attractive bonuses, employee loan with special rates and many more.
• Apply now before this role is close. **.
• FB: Krungsri Career(http://bit.ly/FacebookKrungsriCareer [link removed]).
• LINE: Krungsri Career (http://bit.ly/LineKrungsriCareer [link removed]).
• Talent Acquisition Department
• Bank of Ayudhya Public Company Limited
• 1222 Rama III Rd., Bangpongpang, Yannawa, Bangkok 10120
• สอบถามข้อมูลเพิ่มเติม: Talent Acquisition Center 0-2-----000.
• หมายเหตุ ธนาคารมีความจำเป็นและจะมีขั้นตอนการตรวจสอบข้อมูลส่วนบุคคลเกี่ยวกับประวัติอาชญากรรมของผู้สมัคร ก่อนที่ผู้สมัครจะได้รับการพิจารณาเข้าร่วมงานกับธนาคารกรุงศรีฯ.
• Remark: The bank needs to and will have a process for verifying personal information related to the criminal history of applicants before they are considered for employment with the bank.
• Applicants can read the Personal Data Protection Announcement of the Bank's Human Resources Function by typing the link from the image that stated below.
• EN (https://krungsri.com/b/privacynoticeen).
• ผู้สมัครสามารถอ่านประกาศการคุ้มครองข้อมูลส่วนบุคคลส่วนงานทรัพยากรบุคคลของธนาคารได้โดยการพิมพ์ลิงค์จากรูปภาพที่ปรากฎด้านล่าง.
• ภาษาไทย (https://krungsri.com/b/privacynoticeth).

Skills:

ETL, Big Data

Job type:

Full-time

• Pipeline Development: Support the design and maintenance of scalable ETL/ELT pipelines for structured and unstructured datasets..
• AI Data Readiness: Assist in building data ingestion flows for Vector Databases and supporting RAG (Retrieval-Augmented Generation) architectures..
• Data Modeling: Contribute to the creation of robust data models and Feature Stores that serve both traditional analytics and machine learning workloads..
• Data Quality & Operations.
• Validation & Cleaning: Implement automated scripts to ensure high data integrity, reliability, and performance across the platform..
• Cloud Optimization: Assist in monitoring cloud resource usage (GCP/AWS) to ensure cost-efficiency and low-latency data access..
• Engineering Collaboration: Work closely with senior engineers to document data lineage and ensure the architecture is built for long-term scalability..
• Experience: Entry-level to 2 years of experience in data engineering, backend development, or a related technical internship.
• Portfolio: Demonstration of coding ability through a Github repository or a portfolio of data projects (e.g., building a personal API, a data scraper, or a small-scale ETL project)..
• Education: Bachelor s degree in Computer Engineering, Computer Science, Statistics, or a related technical field..
• Python: Solid foundation in writing clean, modular Python code.
• SQL: Proficiency in writing and optimizing complex queries for data analysis.
• Cloud Knowledge: Familiarity with at least one major cloud provider (GCP or AWS) and basic understanding of services like BigQuery, Redshift, or S3.
• AI Awareness: Interest in how data engineering supports AI; basic knowledge of unstructured data or vector search is a plus..
• What We Offer.
• Hands-on Multi-Cloud Experience: Get direct exposure to large-scale data environments on GCP/AWS and modern orchestration tools..
• Innovative Tech Stack: Work with cutting-edge tools at the intersection of Big Data and AI, including Vector DBs and automated data quality frameworks..
• Growth & Mentorship: A supportive environment where you will learn from senior engineers and have a clear path for professional development..
• Impactful Work: See your data pipelines directly power real-time marketing decisions and AI-driven products..
• If you re ready to build the data foundation for the next generation of AI, apply now!.

Job type:

Full-time

• Data Engineer Manager มีบทบาทสำคัญในการออกแบบ พัฒนา และบริหารจัดการโครงสร้างพื้นฐานด้านข้อมูล (Data Infrastructure) ขององค์กร เพื่อรองรับการใช้งานด้าน Analytics, AI และ Business Intelligence โดยทำหน้าที่นำทีม Data Engineer และทำงานร่วมกับทีม Data, Product และ Business เพื่อส่งมอบโซลูชันข้อมูลที่มีคุณภาพ มีเสถียรภาพ และสามารถขยายได้ (Scalable & Reliable).
• Data Architecture & Engineering
• ออกแบบและพัฒนา Data Architecture (Data Lake / Data Warehouse / Data Pipeline)
• สร้างและดูแล ETL / ELT Pipelines เพื่อรองรับข้อมูลจากหลายแหล่ง (Structured / Unstructured)
• พัฒนา Data Models เพื่อรองรับการใช้งานด้าน Analytics และ Reporting.
• Experience - ประสบการณ์ 7-12 ปี ในด้าน Data Engineering / Data Platform - มีประสบการณ์บริหารทีม (2-5 ปีขึ้นไป) - มีประสบการณ์ทำ Data Pipeline ขนาดใหญ่ หรือระบบที่มี Data Volume สูง ________________________________________.
• Technical Skills - Programming: Python / SQL (Advanced) - Big Data Tools: Spark, Hadoop, Kafka - Workflow Tools: Airflow, DBT - Cloud Platform: AWS / Azure / GCP - Data Warehouse: BigQuery, Snowflake, Redshift ________________________________________.
• Skills & Competencies - Leadership & People Management - Problem Solving & Analytical Thinking - Stakeholder Management - Communication Skills (Technical & Non-technical) - Project / Delivery Management ________________________________________.
• Preferred Qualifications - มีประสบการณ์ด้าน Real-time Data / Streaming - มีความรู้ด้าน Data Governance / Data Security - มี Certification ด้าน Cloud หรือ Data Engineering.
• Contact Information K. Nanchanok (Recruiter)
• Email: nanchanok.r @thaibev.com
• Company name: DIGITAL AND TECHNOLOGY SERVICES CO., LTD.
• Working Location and address: F.Y.I Center 2525 Rama IV Rd, Khlong Tan, Khlong Toei, Bangkok 10110
• MRT QSNCC Station Exit 1.

Skills:

ETL, Assurance, Automation

Job type:

Full-time

• Analyze business, risk, and regulatory requirements and translate them into system architecture, data models, and ETL designs.
• Design and implement data integration solutions to support Reporting platforms - Perform and oversee data transformation, validation, reconciliation, and data quality assurance to ensure accuracy and regulatory compliance.
• Design, develop, and maintain automation and monitoring scripts using Shell scripts and Batch scripts - Develop, maintain, and optimize PL/SQL objects on Oracle databas ...
• Provide L2/L3 application support, including production issue troubleshooting, impact analysis. - Coordinate with business users, risk teams, and tech teams to resolve data and system issues.
• Oversee and support production operations, batch processing cycles, and critical scheduled jobs.
• Prepare, review, and maintain technical doc (ETL design, data mapping, runbook).
• Ensure full compliance with SDLC, Security policies, Risk controls, and Regulatory standards.
• Apply now if you have these advantages.
• Bachelor s degree or higher in Computer Science / Management Information System or any related field.
• Basic ability to understand business and regulatory requirements with support from senior team members, and assist in translating them into system or data solution requirements.
• Strong ETL frameworks, data lineage, data reconciliation, and data quality management.
• PL/SQL and SQL performance tuning, including query optimization, execution plan analysis, and database efficiency improvement.
• Basic Shell scripting (Bash/KornShell) on Unix/Linux platforms and Windows Batch scripting for automation and operational control.
• Basic Unix/Linux operating systems, including system processes, job scheduling, and troubleshooting.
• Risk Authority, risk management systems, or regulatory reporting applications (Preferable).
• IBM InfoSphere DataStage for enterprise-level ETL and data integration solutions (Preferable).
• Why join Krungsri?.
• As a part of MUFG (Mitsubishi UFJ Financial Group), we a truly a global bank with networks all over the world.
• We offer a striking work-life balance culture with hybrid work policies (3 days in office per week).
• Unbelievable benefits such as attractive bonuses, employee loan with special rates and many more.
• Apply now before this role is close. **.
• FB: Krungsri Career(http://bit.ly/FacebookKrungsriCareer [link removed]).
• LINE: Krungsri Career (http://bit.ly/LineKrungsriCareer [link removed]).
• Talent Acquisition Department
• Bank of Ayudhya Public Company Limited
• 1222 Rama III Rd., Bangpongpang, Yannawa, Bangkok 10120
• สอบถามข้อมูลเพิ่มเติม: Talent Acquisition Center 0-2-----000.
• หมายเหตุ ธนาคารมีความจำเป็นและจะมีขั้นตอนการตรวจสอบข้อมูลส่วนบุคคลเกี่ยวกับประวัติอาชญากรรมของผู้สมัคร ก่อนที่ผู้สมัครจะได้รับการพิจารณาเข้าร่วมงานกับธนาคารกรุงศรีฯ.
• Remark: The bank needs to and will have a process for verifying personal information related to the criminal history of applicants before they are considered for employment with the bank.
• Applicants can read the Personal Data Protection Announcement of the Bank's Human Resources Function by typing the link from the image that stated below.
• EN (https://krungsri.com/b/privacynoticeen).
• ผู้สมัครสามารถอ่านประกาศการคุ้มครองข้อมูลส่วนบุคคลส่วนงานทรัพยากรบุคคลของธนาคารได้โดยการพิมพ์ลิงค์จากรูปภาพที่ปรากฎด้านล่าง.
• ภาษาไทย (https://krungsri.com/b/privacynoticeth).