เงื่อนไขการค้นหา

ประเภทงาน:

งานประจำ

• จัดเตรียมเอกสาร daily briefing ให้กับทีม.
• ดึง redemption daily report เพื่อตรวจสอบความถูกต้อง และรายการต่อ Manager / Supervisor.
• จัดทำรายงานเคสและ feedback ข้อเสนอแนะต่างๆ ของลูกค้า เป็นรายงานประจำวัน / สัปดาห์ / เดือน / ไตรมาส.
• การจัดทำคู่มือ และ material ของฝ่ายฯ.
• Support Daily Operation หน้างานของฝ่ายลูกค้าสัมพันธ์.
• การจัดสต๊อกของรางวัลสำหรับการแลกโปรโมชั่น และบันทึกอย่างเป็นระบบ เพื่อตรวจสอบได้ง่าย.
• การประสานรับ และ ส่งมอบคืน Gift Card สำหรับขาย และ สำหรับแจก ให้กับทีมแคชเชียร์.
• การประสานกับหน่วยงานอื่น.

ทักษะ:

Automation, SQL, Data Warehousing

ประเภทงาน:

งานประจำ

• Act as the first point of contact for users facing issues related to data and reporting.
• Manage, track, and resolve incidents, service requests, and inquiries via the ticketing system.
• Classify and prioritize incoming tickets based on severity, impact, and urgency.
• Respond to and resolve user tickets in a timely and efficient manner.
• Escalate unresolved or complex issues to appropriate internal teams while maintaining clear communication with the users.
• Diagnose, troubleshoot, and resolve data-related issues, including reporting errors, data discrepancies, and system malfunctions.
• Collaborate with other teams (data engineers, data scientists, data analysts, and other IT teams) to address complex issues.
• Provide clear and comprehensive updates to users on incident status and resolution timelines.
• Provide technical support to end-users via phone, email, chat, and ticketing system.
• Process user requests for new reports, data extracts, or updates to existing data views.
• Coordinate with relevant stakeholders to ensure requests are completed accurately and efficiently.
• Respond to user inquiries about reporting tools, data access, and system functionalities.
• Provide guidance and training to users on self-service reporting tools and best practices.
• Maintain an updated knowledge base for frequently asked questions and user guidance.
• Contribute to the development and maintenance of knowledge base articles.
• Analyze recurring issues and recommend changes to improve system stability and user experience.
• Collaborate with development and data teams to identify opportunities for automation and improved processes.
• Collaborate with other teams to improve system performance and user experience.
• Provide on-call support during evenings, weekends, or holidays as required.
• RequirementsBachelor's degree in Computer Science, Information Technology, or related field.
• Proficiency in SQL and database querying for troubleshooting and resolving data-related issues.
• Strong understanding of database management and concepts.
• Knowledge of data warehousing concepts and ETL processes.
• Experience with business intelligence and data visualization tools (e.g., Power BI, Oracle OBIEE, Oracle BIP).
• Familiarity with data visualization and reporting systems.
• Experience with cloud platforms (AWS, Azure, GCP, or Oracle Cloud).
• Strong analytical and problem-solving skills.
• Excellent communication skills, both written and verbal, with the ability to explain technical concepts to non-technical users.
• Ability to manage multiple tasks, prioritize effectively, and work under pressure.
• Strong customer service orientation and detail-oriented with a focus on delivering high-quality results.

ประสบการณ์:

3 ปีขึ้นไป

ทักษะ:

Compliance, Legal, Risk Management

ประเภทงาน:

งานประจำ

• Develop data security policy review, data security policy exceptions, and control risk mitigation processes.
• Define the security controls for access management lifecycle (i.e., requirement for creation, deletion, transfer and review).
• Operate:Advice on technology relating to Data Privacy and Protection (i.e., PDPA) related security controls implementation.
• Drive and support data security controls such as Data Loss Prevention (DLP), Data Masking, Data Encryption capabilities to protect sensitive data.
• Drive compliance (or collaborate with compliance team) to organization security policies, standards, metrics, and legal requirements.
• Communicate and enforce security policies, rules, and standards.
• Conduct impact assessment of data initiatives from a security point of view.
• Ensure the cryptographic keys and related components are safety and protection of confidential information.
• Resolve data security audit and risk findings.
• Review and develop security controls to current access controls policies and procedures.
• Provide requirements for create and manage roles, access rights (includes privileged access), authentication and identity within the environment.
• Conduct periodic review of user access.
• Review, approve and monitor the usage of privileged access.
• EDUCATION.
• Bachelor s degree in computer science, Information Systems, or equivalent education or work experience.
• EXPERIENCE.
• Work experience in privacy, compliance, information security, auditing or a related field may also be an accepted alternative, according to Cybersecurity.
• Minimum 3 years of experience in and strong knowledge of privacy, data, operational risk management, information security, or related areas in IT.
• OTHER REQUIREMENTS.

ประเภทงาน:

งานประจำ

• Analyze data and provide business insight.
• Assess risk and design mitigation actions based on data insight.
• Design dashboards / predictive models for decision-making management.
• Lead and Supervise team by projects.

ทักษะ:

SQL, Research, Java

ประเภทงาน:

งานประจำ

• Background in SQL, databases and/or data science OR.
• BS/MS in software engineering, computer science, mathematics.
• Document data sources in enterprise data catalog with metadata, lineage and classification information.
• Develop aggregations and algorithms needed for reporting and analytics with low level complexity.
• Implement minor changes to existing data visualization applications, reporting dashboards.
• Document modifications to reporting applications based on modifications applied.
• Comprehend and adhere to all data security policies and procedures.
• Create data tools for analytics and data scientist team members.
• Build analytical tools to provide actionable insights into key business KPIs, etc.
• Work with data engineers to optimize pipelines for scalability and data delivery.
• Functional Competency.
• Working knowledge with data and analytics framework supporting data lakes, warehouses, marts, reporting, etc.
• Experience with data tools for visualizations, analytics and reporting.
• Strong analytical skills with ability to research, assess and develop observations/findings.
• Ability to communicate findings, approaches to cross functional teams and stakeholders.
• 3+ years' hands-on experience with a data science background.
• Some programming skills in Java, Python and SQL.
• Clear hands-on experience with database systems - Cloud technologies (e.g. AWS, Azure, Google), in-memory database systems (e.g. HANA, Hazel cast, etc) and other database systems - traditional RDBMS (e.g. Teradata, SQL Server, Oracle), and NoSQL databases (e.g. Cassandra, MongoDB, DynamoDB).
• Educational.
• Background in SQL, databases and/or data science OR.
• BS/MS in software engineering, computer science, mathematics.
• Document data sources in enterprise data catalog with metadata, lineage and classification information.
• Develop aggregations and algorithms needed for reporting and analytics with low level complexity.
• Implement minor changes to existing data visualization applications, reporting dashboards.
• Document modifications to reporting applications based on modifications applied.
• Comprehend and adhere to all data security policies and procedures.
• Create data tools for analytics and data scientist team members.
• Build analytical tools to provide actionable insights into key business KPIs, etc.
• Work with data engineers to optimize pipelines for scalability and data delivery.
• Functional Competency.
• Working knowledge with data and analytics framework supporting data lakes, warehouses, marts, reporting, etc.
• Experience with data tools for visualizations, analytics and reporting.
• Strong analytical skills with ability to research, assess and develop observations/findings.
• Ability to communicate findings, approaches to cross functional teams and stakeholders.
• 3+ years' hands-on experience with a data science background.
• Some programming skills in Java, Python and SQL.
• Clear hands-on experience with database systems - Cloud technologies (e.g. AWS, Azure, Google), in-memory database systems (e.g. HANA, Hazel cast, etc) and other database systems - traditional RDBMS (e.g. Teradata, SQL Server, Oracle), and NoSQL databases (e.g. Cassandra, MongoDB, DynamoDB).

ทักษะ:

Data Analysis, English

ประเภทงาน:

งานประจำ

• Data Innovation Team.
• ปฎิบัติงานยัง บริษัท Infinitas by Krungthai
• 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 mea ...
• 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.
• Analyze digital and traditional user journey funnel and customer persona
• Visualize 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.
• ท่านสามารถอ่านและศึกษานโยบายความเป็นส่วนตัวของธนาคารกรุงไทย จำกัด (มหาชน) ที่ https://krungthai.com/th/content/privacy-policy ทั้งนี้ ธนาคารไม่มีเจตนาหรือความจำเป็นใดๆ ที่จะประมวลผลข้อมูลส่วนบุคคลที่มีความอ่อนไหว รวมถึงข้อมูลที่เกี่ยวข้องศาสนาและ/หรือหมู่โลหิต ซึ่งอาจปรากฏอยู่ในสำเนาบัตรประจำตัวประชาชนของท่านแต่อย่างใด ดังนั้น กรุณาอย่าอัปโหลดเอกสารใดๆ รวมถึงสำเนาบัตรประจำตัวประชาชน หรือกรอกข้อมูลส่วนบุคคลที่มีความอ่อนไหวหรือข้อมูลอื่นใด ซึ่งไม่เกี่ยวข้องหรือไม่จำเป็นสำหรับวัตถุประสงค์ในการสมัครงานไว้บนเว็บไซต์ นอกจากนี้ กรุณาดำเนินการให้แน่ใจว่าได้ดำเนินการลบข้อมูลส่วนบุคคลที่มีความอ่อนไหว (ถ้ามี) ออกจากเรซูเม่และเอกสารอื่นใดก่อนที่จะอัปโหลดเอกสารดังกล่าวไว้บนเว็บไซต์แล้วด้วย ทั้งนี้ ธนาคารมีความจำเป็นต้องเก็บรวบรวมข้อมูลส่วนบุคคลเกี่ยวกับประวัติอาชญากรรมของท่านเพื่อบรรลุวัตถุประสงค์ในการพิจารณารับบุคคลเข้าทำงาน หรือการตรวจสอบคุณสมบัติ ลักษณะต้องห้าม หรือพิจารณาความเหมาะสมของบุคคลที่จะให้ดำรงตำแหน่ง ซึ่งการให้ความยินยอมเพื่อเก็บรวบรวม ใช้ หรือเปิดเผยข้อมูลส่วนบุคคลเกี่ยวกับประวัติอาชญากรรมของท่านมีความจำเป็นสำหรับการเข้าทำสัญญาและการได้รับการพิจารณาตามวัตถุประสงค์ดังกล่าวข้างต้น ในกรณีที่ท่านไม่ให้ความยินยอมในการเก็บรวบรวม ใช้ หรือเปิดเผยข้อมูลส่วนบุคคลเกี่ยวกับประวัติอาชญากรรม หรือมีการถอนความยินยอมในภายหลัง ธนาคารอาจไม่สามารถดำเนินการเพื่อบรรลุวัตถุประสงค์ดังกล่าวข้างต้นได้ และอาจ ทำให้ท่านสูญเสียโอกาสในการได้รับการพิจารณารับเข้าทำงานกับธนาคาร .

ทักษะ:

Excel, Python, Power BI

ประเภทงาน:

งานประจำ

• Create, Develop and Monitor Auto Replenishment & Parameter.
• Maintain and adjust parameters to optimize stock availability/ stock level during normal/month and promotion periods.
• Investigate and identify root cause of overstocking and OOS at Store/DC.
• Monitoring of target stock on normal/seasonal period to suit with business sale target.
• Adjust daily sales in system to correct average daily sales after promotion period.
• Forecasting demand in each promotion campaign to manage Parameter setting.
• Develop Daily KPI Dashboard to monitor sales performance VS Suggest number from system.
• Bachelor Degree of Supply Chain, Logistic, Economics, Mathematic and other relate filed.
• Have experience in Data analyst, Inventory Analyst, Inventory Planning at least 3-5 Years.
• Strong Mathematic skills is a must.
• Excellent for Excel (Pivot, VLOOKUP, VBA), Python, Power BI, Tableau.
• Have experience in Retail business /FMCG would be advantage.
• Good Analytic skills.

ทักษะ:

ETL, Java, Python

ประเภทงาน:

งานประจำ

• Design, develop, optimize, and maintain data architecture and pipelines that adhere to ETL principles and business goals.
• Create data products for analytics and data scientist team members to improve their productivity.
• Lead the evaluation, implementation and deployment of emerging tools and process for analytic data engineering in order to improve our productivity as a team.
• Develop and deliver communication and education plans on analytic data engineering capabilities, standards, and processes.
• RequirementsPrevious experience as a data engineer or in a similar role.
• Technical expertise with data models, data mining, and segmentation techniques.
• Knowledge of programming languages (e.g. Java and Python).
• Hands-on experience with SQL database design using Hadoop or BigQuery and experience with a variety of relational, NoSQL, and cloud database technologies.
• Great numerical and analytical skill.
• Worked with BI tools such as Tableau, Power BI.
• Conceptual knowledge of data and analytics, such as dimensional modeling, ETL, reporting tools, data governance, data warehousing, structured and unstructured data.

ทักษะ:

Product Owner, Scrum, Project Management

ประเภทงาน:

งานประจำ

• Collaborating with prospective users and clients to understand and anticipate their needs and translate them into product requirements.
• Defining the vision for the product team and maintaining a cohesive vision throughout the process.
• Creating a product road map based on this vision.
• Managing the product backlog and prioritizing the tasks based on changing requirements.
• Overseeing all stages of product creation, including design and development.
• Monitoring and evaluating product progress at each stage of the process.
• Working with the product team and end-users to deliver updates and status reports.
• Participating in Scrum meetings and product sprints.
• Bachelor degree.
• At least 4 years of working experience.
• At least 2 years of working experience in Project Management.
• In-depth knowledge of Scrum and Agile Software Development Methodology.
• Working knowledge of product development architecture.
• Proficiency in the use of analytic tools and strong analytical thinking.
• Ability to prioritize effectively.
• Contact Information:-.
• Office of Human Capital.
• THAI BEVERAGE PUBLIC COMPANY LIMITED.
• Lao Peng Nguan Building, Tower 1.
• 333 Vibhavadi Rangsit Road, Ladyao Subdistrict, Chatuchak District, Bangkok 10900.

ประสบการณ์:

3 ปีขึ้นไป

ทักษะ:

Data Analysis, SQL, Python, English, Thai

ประเภทงาน:

งานประจำ

• Research on AI/ML, MarTech and AdTech to explore new tools and techniques.
• Prototype and test hyper-personalization engine using these innovations to ensure benefits and efficiency before full-scale deployment.
• Design, implement and automate personalization engine and recommendation system to enhance customer experiences and boost sales and marketing.
• Leverage Advanced analytics, AI/ML, and data mining techniques across various use cases to address business challenges.
• Design and conduct experiments, evaluate and maintain model to improve performance.
• Engage with key stakeholders, including IT, business, campaign and data teams to align on business requirements and integrate data solutions into our platforms.
• Participate in the vendor selection processes to identify and ensure the best external partners for data science and AI/ML projects.
• Bachelor s Degree or higher in Computer Science, Data Science, Engineering, Statistics, or any related field.
• Minimum of 3-5 years experience in data field and at least 2 years in data science, AI/ML engineer or a related field.
• Proficiency in some of the following: Recommendation engine, Reinforcement Learning, Python, PySpark and SQL and etc.
• Experience in building tools / models to support retention, up-cross selling, optimization, mobile app data and digital marketing is a plus.
• Ability to communicate and collaborate with cross-functional teams.
• Growth mindset and openness to continuously learning and facing new projects and new technologies.
• ท่านสามารถอ่านและศึกษานโยบายความเป็นส่วนตัวของธนาคารกรุงไทย จำกัด (มหาชน) ที่ https://krungthai.com/th/content/privacy-policy ทั้งนี้ ธนาคารไม่มีเจตนาหรือความจำเป็นใดๆ ที่จะประมวลผลข้อมูลส่วนบุคคลที่มีความอ่อนไหว รวมถึงข้อมูลที่เกี่ยวข้องศาสนาและ/หรือหมู่โลหิต ซึ่งอาจปรากฏอยู่ในสำเนาบัตรประจำตัวประชาชนของท่านแต่อย่างใด ดังนั้น กรุณาอย่าอัปโหลดเอกสารใดๆ รวมถึงสำเนาบัตรประจำตัวประชาชน หรือกรอกข้อมูลส่วนบุคคลที่มีความอ่อนไหวหรือข้อมูลอื่นใด ซึ่งไม่เกี่ยวข้องหรือไม่จำเป็นสำหรับวัตถุประสงค์ในการสมัครงานไว้บนเว็บไซต์ นอกจากนี้ กรุณาดำเนินการให้แน่ใจว่าได้ดำเนินการลบข้อมูลส่วนบุคคลที่มีความอ่อนไหว (ถ้ามี) ออกจากเรซูเม่และเอกสารอื่นใดก่อนที่จะอัปโหลดเอกสารดังกล่าวไว้บนเว็บไซต์แล้วด้วย ทั้งนี้ ธนาคารมีความจำเป็นต้องเก็บรวบรวมข้อมูลส่วนบุคคลเกี่ยวกับประวัติอาชญากรรมของท่านเพื่อบรรลุวัตถุประสงค์ในการพิจารณารับบุคคลเข้าทำงาน หรือการตรวจสอบคุณสมบัติ ลักษณะต้องห้าม หรือพิจารณาความเหมาะสมของบุคคลที่จะให้ดำรงตำแหน่ง ซึ่งการให้ความยินยอมเพื่อเก็บรวบรวม ใช้ หรือเปิดเผยข้อมูลส่วนบุคคลเกี่ยวกับประวัติอาชญากรรมของท่านมีความจำเป็นสำหรับการเข้าทำสัญญาและการได้รับการพิจารณาตามวัตถุประสงค์ดังกล่าวข้างต้น ในกรณีที่ท่านไม่ให้ความยินยอมในการเก็บรวบรวม ใช้ หรือเปิดเผยข้อมูลส่วนบุคคลเกี่ยวกับประวัติอาชญากรรม หรือมีการถอนความยินยอมในภายหลัง ธนาคารอาจไม่สามารถดำเนินการเพื่อบรรลุวัตถุประสงค์ดังกล่าวข้างต้นได้ และอาจ ทำให้ท่านสูญเสียโอกาสในการได้รับการพิจารณารับเข้าทำงานกับธนาคาร .

ทักษะ:

Big Data, Java, Python

ประเภทงาน:

งานประจำ

• Background in programming, databases and/or big data technologies OR.
• BS/MS in software engineering, computer science, economics or other engineering fields.
• Partner with Data Architect and Data Integration Engineer to enhance/maintain optimal data pipeline architecture aligned to published standards.
• Assemble medium, complex data sets that meet functional /non-functional business requirements.
• Design and implement internal process improvements: automating manual processes, optimizing data delivery, re-designing infrastructure for greater scalability, etc.
• Build the infrastructure required for optimal extraction transformation, and loading of data from a wide variety of data sources big data technologies.
• Build analytics tools that utilize the data pipeline to provide actionable insights into customer acquisition, operational efficiency and other key business performance metrics.
• Work with stakeholders including Domain leads, and Teams to assist with data-related technical issues and support their data infrastructure needs.
• Ensure technology footprint adheres to data security policies and procedures related to encryption, obfuscation and role based access.
• Create data tools for analytics and data scientist team members.
• Functional Competency.
• Knowledge of data and analytics framework supporting data lakes, warehouses, marts, reporting, etc.
• Defining data retention policies, monitoring performance and advising any necessary infrastructure changes based on functional and non-functional requirements.
• In depth knowledge of data engineering discipline.
• Extensive experience working with Big Data tools and building data solutions for advanced analytics.
• Minimum of 5+ years' hands-on experience with a strong data background.
• Solid programming skills in Java, Python and SQL.
• Clear hands-on experience with database systems - Hadoop ecosystem, Cloud technologies (e.g. AWS, Azure, Google), in-memory database systems (e.g. HANA, Hazel cast, etc) and other database systems - traditional RDBMS (e.g. Teradata, SQL Server, Oracle), and NoSQL databases (e.g. Cassandra, MongoDB, DynamoDB).
• Practical knowledge across data extraction and transformation tools - traditional ETL tools (e.g. Informatica, Ab Initio, Altryx) as well as more recent big data tools.
• Educational.
• Background in programming, databases and/or big data technologies OR.
• BS/MS in software engineering, computer science, economics or other engineering fields.
• Partner with Data Architect and Data Integration Engineer to enhance/maintain optimal data pipeline architecture aligned to published standards.
• Assemble medium, complex data sets that meet functional /non-functional business requirements.
• Design and implement internal process improvements: automating manual processes, optimizing data delivery, re-designing infrastructure for greater scalability, etc.
• Build the infrastructure required for optimal extraction transformation, and loading of data from a wide variety of data sources big data technologies.
• Build analytics tools that utilize the data pipeline to provide actionable insights into customer acquisition, operational efficiency and other key business performance metrics.
• Work with stakeholders including Domain leads, and Teams to assist with data-related technical issues and support their data infrastructure needs.
• Ensure technology footprint adheres to data security policies and procedures related to encryption, obfuscation and role based access.
• Create data tools for analytics and data scientist team members.
• Functional Competency.
• Knowledge of data and analytics framework supporting data lakes, warehouses, marts, reporting, etc.
• Defining data retention policies, monitoring performance and advising any necessary infrastructure changes based on functional and non-functional requirements.
• In depth knowledge of data engineering discipline.
• Extensive experience working with Big Data tools and building data solutions for advanced analytics.
• Minimum of 5+ years' hands-on experience with a strong data background.
• Solid programming skills in Java, Python and SQL.
• Clear hands-on experience with database systems - Hadoop ecosystem, Cloud technologies (e.g. AWS, Azure, Google), in-memory database systems (e.g. HANA, Hazel cast, etc) and other database systems - traditional RDBMS (e.g. Teradata, SQL Server, Oracle), and NoSQL databases (e.g. Cassandra, MongoDB, DynamoDB).
• Practical knowledge across data extraction and transformation tools - traditional ETL tools (e.g. Informatica, Ab Initio, Altryx) as well as more recent big data tools.

ทักษะ:

Excel, Meet Deadlines, Power BI

ประเภทงาน:

งานประจำ

• Collect HR Data from a variety of data sources, including HRMS, Excel, Google Sheet and Text files.
• Preparing data and developing analytical reports in the HR area, such as HR Dashboard, to support executive decision-making.
• Analyzes and prepares Executive Dashboard in order to predict and find solutions with HR team member.
• Support the HR team by providing insightful information to support HR strategies.
• Bachelor s Degree in Business Administration or a related field.
• Minimum of 2 years of experience in an HR Data Analyst or HRIS role.
• Ability to manage multiple tasks/projects, work under pressure, and meet deadlines.
• Strong verbal and written communication skills, with excellent presentation abilities.
• Results-driven and solution-oriented.
• Experience with data visualization and analytics platforms such as Microsoft Power BI or Tableau.
• Proficiency in SQL, including platforms like PostgreSQL and Oracle DB.

ทักษะ:

Business Development, Creative Thinking, Project Management, English

ประเภทงาน:

งานประจำ

• Strong analytical and problem-solving skills to identify commercial opportunity.
• Working well in a cross-disciplinary team with different types of stakeholders (IT, Agency, Business, Management).
• Business Development of Data Intelligence for corporate strategy.
• Analyze internal and external data in various aspects to identify threats & opportunities and provide information/report for management or related business unit team to plan activities and strategies.
• Participate in the initiative's development plan of business unit / brand plans and align with corporate strategy, objectives and KPIs.
• Coordinate and consolidate with the related department to implement a project or tracking the project progress and provide corrective supervision if necessary.
• Create and deliver insights report on new ideas to the management team or business units and seek appropriate decisions, directions, and approvals.
• Bachelor s or Master s degree in business or related field of study.
• Minimum 5-8 years Performance Management function / Commercial Analyst roles.
• Experience in corporate/channel/brand/segment strategy.
• Experience working in Data Analytic related projects.
• Excellent analytical and problem-solving skills.
• Ability to apply logical and creative thinking to solve complex business problems.
• Ability to define the problems and frame answers in a logical and structured manner.
• Good project management, team leadership and sense of ownership.
• Good co-ordination skill with positive attitude and ability to work under pressure.
• Strong communications, customer relationship and negotiation skills.
• Good command of both written and spoken English.
• TECHNICAL SKILLS: Basic understanding of data ecosystem, Advanced skills in dashboard and BI tools.
• Conceptual knowledge of data and analytics, ETL, reporting tools, data governance, data warehousing, structured and unstructured data.

ประสบการณ์:

3 ปีขึ้นไป

ทักษะ:

Big Data, Hive, SAS

ประเภทงาน:

งานประจำ

• Design, implement, and maintain data analytics pipelines and processing systems.
• Experience of data modelling techniques and integration patterns.
• Write data transformation jobs through code.
• Analyze large datasets to extract insights and identify trends.
• Perform data management through data quality tests, monitoring, cataloging, and governance.
• Knowledge in data infrastructure ecosystem.
• Collaborate with cross-functional teams to identify opportunities to leverage data to drive business outcomes.
• Build data visualizations to communicate findings to stakeholders.
• A willingness to learn and find solutions to complex problems.
• Stay up-to-date with the latest developments in data analytics and science.
• Experience migrating from on-premise data stores to cloud solutions.
• Knowledge of system design and platform thinking to build sustainable solution.
• Practical experience with modern and traditional Big Data stacks (e.g BigQuery, Spark, Databricks, duckDB, Impala, Hive, etc).
• Experience working with data warehouse solutions ELT solutions, tools, and techniques (e.g. Airflow, dbt, SAS, Matillion, Nifi).
• Experience with agile software delivery and CI/CD processes.
• Bachelor's or Master's degree in computer science, statistics, engineering, or a related field.
• At least 3 years of experience in data analysis and modeling.
• Proficiency in Python, and SQL.
• Experience with data visualization tools such as Tableau, Grafana or similar.
• Familiarity with cloud computing platforms, such as GCP, AWS or Databricks.
• Strong problem-solving skills and the ability to work independently as well as collaboratively.
• This role offers a clear path to advance into machine learning and AI with data quality and management, providing opportunities to work on innovative projects and develop new skills in these exciting fields..
• Contact: [email protected] (K.Thipwimon).
• ท่านสามารถอ่านและศึกษานโยบายความเป็นส่วนตัวของธนาคารกรุงไทย จำกัด (มหาชน) ที่ https://krungthai.com/th/content/privacy-policy ทั้งนี้ ธนาคารไม่มีเจตนาหรือความจำเป็นใดๆ ที่จะประมวลผลข้อมูลส่วนบุคคลที่มีความอ่อนไหว รวมถึงข้อมูลที่เกี่ยวข้องศาสนาและ/หรือหมู่โลหิต ซึ่งอาจปรากฏอยู่ในสำเนาบัตรประจำตัวประชาชนของท่านแต่อย่างใด ดังนั้น กรุณาอย่าอัปโหลดเอกสารใดๆ รวมถึงสำเนาบัตรประจำตัวประชาชน หรือกรอกข้อมูลส่วนบุคคลที่มีความอ่อนไหวหรือข้อมูลอื่นใด ซึ่งไม่เกี่ยวข้องหรือไม่จำเป็นสำหรับวัตถุประสงค์ในการสมัครงานไว้บนเว็บไซต์ นอกจากนี้ กรุณาดำเนินการให้แน่ใจว่าได้ดำเนินการลบข้อมูลส่วนบุคคลที่มีความอ่อนไหว (ถ้ามี) ออกจากเรซูเม่และเอกสารอื่นใดก่อนที่จะอัปโหลดเอกสารดังกล่าวไว้บนเว็บไซต์แล้วด้วย ทั้งนี้ ธนาคารมีความจำเป็นต้องเก็บรวบรวมข้อมูลส่วนบุคคลเกี่ยวกับประวัติอาชญากรรมของท่านเพื่อบรรลุวัตถุประสงค์ในการพิจารณารับบุคคลเข้าทำงาน หรือการตรวจสอบคุณสมบัติ ลักษณะต้องห้าม หรือพิจารณาความเหมาะสมของบุคคลที่จะให้ดำรงตำแหน่ง ซึ่งการให้ความยินยอมเพื่อเก็บรวบรวม ใช้ หรือเปิดเผยข้อมูลส่วนบุคคลเกี่ยวกับประวัติอาชญากรรมของท่านมีความจำเป็นสำหรับการเข้าทำสัญญาและการได้รับการพิจารณาตามวัตถุประสงค์ดังกล่าวข้างต้น ในกรณีที่ท่านไม่ให้ความยินยอมในการเก็บรวบรวม ใช้ หรือเปิดเผยข้อมูลส่วนบุคคลเกี่ยวกับประวัติอาชญากรรม หรือมีการถอนความยินยอมในภายหลัง ธนาคารอาจไม่สามารถดำเนินการเพื่อบรรลุวัตถุประสงค์ดังกล่าวข้างต้นได้ และอาจ ทำให้ท่านสูญเสียโอกาสในการได้รับการพิจารณารับเข้าทำงานกับธนาคาร .

ทักษะ:

ETL, SQL, Hadoop

ประเภทงาน:

งานประจำ

• Conduct meeting with users to understand the data requirements and perform database design based on data understanding and requirements with consideration for performance.
• Maintain data dictionary, relationship and its interpretation.
• Analyze problem and find resolution, as well as work closely with administrators to monitor performance and advise any necessary infrastructure changes.
• Work with business domain experts, data scientists and application developers to identify data that is relevant for analysis.
• Develop big data solutions for batch processing and near real-time streaming.
• Own end-to-end data ETL/ELT process framework from Data Source to Data warehouse.
• Select and integrate appropriate tools and frameworks required to provide requested capabilities.
• Design and develop BI solutions.
• Hands-on development mentality, with a willingness to troubleshoot and solve complex problems.
• Keep abreast of new developments in the big data ecosystem and learn new technologies.
• Ability to effectively work independently and handle multiple priorities.
• Master degree or higher in Computer Science, Computer Engineering, Information Technology, Management Information System or an IT related field.
• 3+ year's experience in Data Management or Data Engineer (Retail or E-Commerce business is preferable).
• Expert experience in query language (SQL), Databrick SQL, PostgreSQL.
• Experience in BigData Technologies like Hadoop, Apache Spark, Databrick.
• Experience in Python is a must.
• Knowledge in machine/statistical learning, data mining is a plus.
• Experience in Generative AI is a plus.
• Strong analytical, problem solving, communication and interpersonal skills.
• Having good attitude toward team working and willing to work hard.
• CP AXTRA | Lotus's
• CP AXTRA Public Company Limited.
• Nawamin Office: Buengkum, Bangkok 10230, Thailand.
• By applying for this position, you consent to the collection, use and disclosure of your personal data to us, our recruitment firms and all relevant third parties for the purpose of processing your application for this job position (or any other suitable positions within Lotus's and its subsidiaries, if any). You understand and acknowledge that your personal data will be processed in accordance with the law and our policy. .

ทักษะ:

Excel, Python, Power BI

ประเภทงาน:

งานประจำ

• Create, Develop and Monitor Auto Replenishment & Parameter.
• Maintain and adjust parameters to optimize stock availability/ stock level during normal/month and promotion periods.
• Investigate and identify root cause of overstocking and OOS at Store/DC.
• Monitoring of target stock on normal/seasonal period to suit with business sale target.
• Adjust daily sales in system to correct average daily sales after promotion period.
• Forecasting demand in each promotion campaign to manage Parameter setting.
• Develop Daily KPI Dashboard to monitor sales performance VS Suggest number from system.
• Bachelor Degree of Supply Chain, Logistic, Economics, Mathematic and other relate filed.
• Have experience in Data analyst, Inventory Analyst, Inventory Planning at least 3-5 Years.
• Have experience in Retail business /FMCG would be advantage.
• Excellent for Excel (Pivot, VLOOKUP, VBA), Python, Power BI, Tableau.
• Good Analytic skills.

ประสบการณ์:

5 ปีขึ้นไป

ทักษะ:

Statistics, Finance, Risk Management

ประเภทงาน:

งานประจำ

• Bachelor s degree (or equivalent) degree in a quantitative field such as Data Science, Actuarial Science, Statistics, or Mathematics.
• 5+ years of related practical experience, preferably in commercial insurance sector.
• Solid understanding of insurance pricing principles, loss reserving, and risk assessment methodologies.
• Familiarity with insurance industry regulations, standards, and best practices.
• Develop and maintain loss cost models using GLMs and other advanced statistical techniques, incorporating relevant variables and factors for accurate pricing and risk assessment.
• Analyse historical insurance data to identify patterns and trends, and determine the impact of various factors on loss costs.
• Collaborate with underwriting, claims, and finance teams to understand business needs and provide data-driven insights for portfolio management.
• Conduct rate level reviews to ensure appropriate pricing of insurance products, considering risk exposure, market dynamics, and profitability goals.
• Enhance loss cost models over time by incorporating new data sources, refining variables,.
• and exploring innovative modelling techniques.
• Evaluate the impact of pricing strategies, policy changes, and market shifts on portfolio performance, and make recommendations for adjustments, if needed.
• Present findings and recommendations to stakeholders, including senior management and underwriting teams, in clear and concise reports.
• Work closely with other departments including Underwriting, Actuarial, and Risk Management, providing them with the data and insights needed to make evidence-based decisions.
• Functional Competency.
• Excellent analytical and problem-solving skills, with the ability to translate data into meaningful insights and recommendations.
• Strong communication skills to effectively convey complex findings and recommendations to both technical and non-technical stakeholders.
• Attention to detail and ability to work independently, managing multiple projects and deadlines efficiently.
• Strong proficiency in statistical modeling techniques, specifically GLMs, and experience with software tools like R, SAS, or Python.
• Proficiency with data analysis and visualisation tools and platforms, preferably Qliksense, Power BI, Alteryx, etc.
• Educational.
• Bachelor s degree (or equivalent) degree in a quantitative field such as Data Science, Actuarial Science, Statistics, or Mathematics.
• 5+ years of related practical experience, preferably in commercial insurance sector.
• Solid understanding of insurance pricing principles, loss reserving, and risk assessment methodologies.
• Familiarity with insurance industry regulations, standards, and best practices.
• Develop and maintain loss cost models using GLMs and other advanced statistical techniques, incorporating relevant variables and factors for accurate pricing and risk assessment.
• Analyse historical insurance data to identify patterns and trends, and determine the impact of various factors on loss costs.
• Collaborate with underwriting, claims, and finance teams to understand business needs and provide data-driven insights for portfolio management.
• Conduct rate level reviews to ensure appropriate pricing of insurance products, considering risk exposure, market dynamics, and profitability goals.
• Enhance loss cost models over time by incorporating new data sources, refining variables,.
• and exploring innovative modelling techniques.
• Evaluate the impact of pricing strategies, policy changes, and market shifts on portfolio performance, and make recommendations for adjustments, if needed.
• Present findings and recommendations to stakeholders, including senior management and underwriting teams, in clear and concise reports.
• Work closely with other departments including Underwriting, Actuarial, and Risk Management, providing them with the data and insights needed to make evidence-based decisions.
• Functional Competency.
• Excellent analytical and problem-solving skills, with the ability to translate data into meaningful insights and recommendations.
• Strong communication skills to effectively convey complex findings and recommendations to both technical and non-technical stakeholders.
• Attention to detail and ability to work independently, managing multiple projects and deadlines efficiently.
• Strong proficiency in statistical modeling techniques, specifically GLMs, and experience with software tools like R, SAS, or Python.
• Proficiency with data analysis and visualisation tools and platforms, preferably Qliksense, Power BI, Alteryx, etc.

ทักษะ:

ETL, Python

ประเภทงาน:

งานประจำ

• รวมข้อมูลดิบจากแหล่งข้อมูลต่างๆ ทั้งภายและภายนอก และสร้างอัลกอริทึมและสร้างต้นแบบ.
• การรวบรวมข้อมูลที่มีโครงสร้าง (Structured Data) และไม่มีโครงสร้าง (Unstructured Data) ประเมินความต้องการและวัตถุประสงค์ทางธุรกิจ.
• จัดระเบียบข้อมูลดิบ นำข้อมูลมาทำความสะอาด (Data Cleansing + Shaping + ETL) รวมถึงจัดเตรียมข้อมูลสำหรับการสร้างแบบจำลอง.
• ทำการ Explore Data ด้วย Data Visualization Tools.
• หาวิธีการปรับปรุงคุณภาพของข้อมูล และสร้างความน่าเชื่อถือของข้อมูลดูแนวโน้มและ Patterns.
• ใช้ AI/ML การทำนาย คาดการณ์ (Predictive) และรายงานผล.
• ปริญญาตรี สาขา วิทยาการคอมพิวเตอร์ วิศวกรรมศาสตร์ คณิตศาสตร์ สถิติ หรือสาขาอื่นที่เกี่ยวข้อง.
• มีประสบการณ์ในการทำ Data Visualization.
• มีประสบการณ์การใช้ Cloud Platform.
• มีประสบการณ์การใช้ Python เช่น Pandas, Numpy, Scikit-learn, Matplotlib and PyTorch.
• มีประสบการณ์ การใช้ Machine Learning เช่น regression, classification, clustering and association.
• มีความเข้าใจในสถิติข้อมูล.
• มีทักษะการนำเสนอ โดยสามารถนำความคิดที่ซับซ้อนมาทำให้เป็นรูปแบบที่เข้าใจง่าย.
• นักสื่อสารที่ดีพร้อมการจัดการผู้มีส่วนได้ส่วนเสียได้.
• มีทักษะการแก้ปัญหา.

ทักษะ:

Compliance, Data Analysis, Power BI

ประเภทงาน:

งานประจำ

• Build and maintain an HR data repository tailored to the food business under ThaiBev group, focusing on metrics critical to food operations, such as labor productivity, turnover by location, and shift coverage efficiency.
• Ensure data integrity and compliance with industry-specific labor regulations, maintaining a transparent and accurate source of HR information.
• Collaborate with operations teams to integrate labor data from multiple food business units, enabling holistic insights across various branches and regions.
• Assist HR Line Manager on Strategic HR Analytics for Workforce OptimizationConduct data analysis on staffing patterns, turnover rates, and workforce efficiency to identify optimization opportunities aligned with food business cycles.
• Use predictive analytics to anticipate workforce needs for peak and off-peak seasons, aiding in proactive staffing and cost control with operation team to centralization.
• Assist on Commercial Structure and Labor Cost Management for Food OperationsAnalyze labor costs relative to revenue and operational efficiency within different food outlets, providing insights to optimize staffing while maximizing profitability.
• Support the development of labor cost budgets that align with product pricing and sales targets in the food sector, helping maintain competitive yet profitable operations.
• Generate regular reports on labor cost performance against targets, identifying areas for improvement and enabling business leaders to adjust strategy as needed.
• Be Leader on developing Power BI Development for Real-Time Food Business InsightsDesign and deploy Power BI dashboards specific to food operations, offering real-time insights on key metrics like labor costs, staffing levels, and turnover rates across outlets.
• Collaborate with senior leaders in the food division to customize dashboards, highlighting KPIs that impact food production, service speed, and customer satisfaction.
• Continuously update Power BI capabilities to provide comprehensive, up-to-date views on HR metrics essential to food business strategy.
• 3+ years of experience in analytics, data management not specific in HR experience.
• Demonstrated proficiency in Power BI development and advanced Excel skills, including VBA, macros, and pivot tables.
• Prior experience in labor cost analysis, commercial structure evaluation.
• Contact Information:-.
• Oishi Group Public Company Limited.
• CW Tower, No.90. Ratchadapisek Road, Huai Khwang, Bangkok.

ทักษะ:

ETL, Data Analysis, Industry trends

ประเภทงาน:

งานประจำ

• Analyze and interpret complex data sets to uncover insights and trends that drive business strategy and decision-making.
• Collaborate with cross-functional teams to understand their data needs and provide actionable recommendations.
• Design and maintain dashboards, reports, and visualizations using tools to communicate insights effectively.
• Extract data from various sources, including databases, APIs, and third-party services, ensuring data quality and accuracy.
• Develop and implement data models, ETL processes, and automated reporting solutions to streamline data analysis.
• Stay updated with industry trends and new technologies to enhance the company's data analytics capabilities.
• Participate in data governance initiatives, ensuring compliance with data privacy and security regulations.
• Requirements/Qualifications(must have):.
• Bachelor's degree in Statistics, Data Science, or a related field; an MBA or advanced degree is a plus.
• Minimum of 5 years of experience in business intelligence or data analysis, preferably in a fast-paced e-commerce environment.
• Proficient in SQL and at least one data visualization tool (e.g., Tableau, Power BI), with a solid understanding of data warehousing concepts.
• Strong analytical skills, with the ability to manipulate, clean, and derive insights from large datasets.
• Effective communicator with excellent presentation skills, capable of translating complex data into simple, actionable insights for non-technical stakeholders.