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Job type:

Full-time

• ปฎิบัติงานยัง บริษัท Infinitas by Krungthai.
• We are seeking a highly skilled Data Management Specialist to join our team. The ideal candidate will be responsible for managing and analyzing large data, ensuring data integrity, and developing data management solutions to optimize our operations.
• Design, develop, and maintain data mart and pipeline to ensure accessibility and reliability of data.
• Utilize SQL to perform complex queries, data extraction, and manipulation.
• Analyze and interpret large datasets to identify trends and insights that drive business decisions.
• Ensure data quality, integrity, and security across all managed databases.
• Collaborate with cross-functional teams to understand data needs and deliver effective data management
• solutions.
• Implement and monitor data management policies and procedures.
• Optimize database performance and troubleshoot issues as they arise.
• Leverage big data technologies such as Spark to process and analyze large datasets.
• Develop and maintain ETL processes to ensure seamless data flow between systems.
• Work with cloud platforms such as Google Cloud and AWS to manage and store data securely.
• Required Skills and Qualifications
• Proficiency in SQL: Expertise in writing and optimizing complex SQL queries.
• Problem-solving and analytical skills: Strong ability to analyze data and derive actionable insights.
• Familiarity with cloud platforms: Experience with platforms such as Google Cloud and AWS.
• Database management systems: Hands-on experience with systems like MySQL.
• Big data technologies: Experience with technologies such as Spark.
• Python programming: Proficiency in Python for data manipulation and analysis.
• Strong communication and collaboration skills to work effectively with cross-functional teams.
• Attention to detail and commitment to maintaining high data quality standards.
• Ability to manage multiple projects and prioritize tasks in a fast-paced environment.
• Education & Experience
• Bachelor s degree or higher in Statistics, Computer Science, Mathematics, or related field
• Minimum 3 years experience in retail lending or similar role
• Additional Requirements
• Experience with data visualization tools (Tableau, Power BI)
• Ability to work collaboratively with cross-functional teams.
• You have read and reviewed Infinitas By Krungthai Company Limited's Privacy Policy at https://krungthai.com/Download/download/DownloadDownload_73Privacy_Policy_Infinitas.pdf. 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

• ปฏิบัติงานยัง บริษัท Infinitas by Krungthai
• We are seeking a Data Scientist specializing in credit decision engine development to drive data-driven lending decisions and risk assessment. The ideal candidate will combine strong analytical skills with deep understanding of credit process.
• Model Development & Deployment
• Develop and maintain credit risk assessment and lending decisions modules
• Expertise for handling large financial databases and credit data manipulation
• Design and implement credit-risk decisioning model solutions using API-based frameworks (e.g., Flask,
• Fast API) or event-driven architecture (e.g., Kafka, Pub/Sub), along with other suitable technologies
• Monitor model performance to ensure high accuracy and reliability in credit decisions Data Analysis & Risk Assessment
• Clean and preprocess financial datasets, particularly credit lending and risk data
• Conduct advanced statistical analyses to support risk assessment and lending decisions.
• Technical Skills
• Proficiency in Python, SQL, and machine learning libraries (TensorFlow, PyTorch, Scikit-Learn)
• Experience with cloud platforms (AWS,GCP) for model deployment
• Knowledge of statistical and machine learning techniques for risk modeling Domain Expertise
• Understanding of credit lending and risk assessment principles
• Experience in financial data analysis within regulatory constraints
• Proven track record in developing credit decision engines (optional)Education & Experience
• Bachelor s degree or higher in Statistics, Computer Science, Mathematics, or related field
• Minimum 3 years experience in retail lending or similar role Additional Requirements
• Strong communication skills for presenting complex findings and process flow to management
• Experience with data visualization tools (Tableau, Power BI)
• Ability to work collaboratively with cross-functional teams.
• You have read and reviewed Infinitas By Krungthai Company Limited's Privacy Policy at https://krungthai.com/Download/download/DownloadDownload_73Privacy_Policy_Infinitas.pdf. 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:

Digital Marketing, Statistics, Python

Job type:

Full-time

• Drive clear and effective business translation of AI/ML products between business and technical stakeholders.
• Design, develop and leverage Advanced analytics, Artificial Intelligence (AI) and Machine Learning (ML) models to support digital marketing, MarTech, AdTech, and hyper-personalization initiatives.
• Analyze Big Data to develop effective predictive and recommendation models.
• Collaborate closely with Product Owners, IT teams, and Data teams to implement AI solutions that improve marketing campaign performance.
• Continuously refine and enhance AI models through testing and performance evaluation.
• Participate in the vendor selection processes to identify and ensure the best external partners for data science and AI/MLprojects..
• Bachelor s Degree or higher in Computer Science, Computer Engineering, Data Science, Statistics, or any related field.
• Minimum of 2 years in AI/ML engineer, cloud solution or a related field.
• Proficiency in some of the following: Python, PySpark and SQL etc.
• Experience or strong interest in digital marketing, MarTech, and AdTech, especially data-driven marketing strategies is a plus.
• 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.
• You have read and reviewed Infinitas By Krungthai Company Limited's Privacy Policy at https://krungthai.com/Download/download/DownloadDownload_73Privacy_Policy_Infinitas.pdf. 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:

Automation, Big Data, Accounting

Job type:

Full-time

• Oversee a Master Data specialist team that analyze and enrich master data elements and optimize the flow data between users and BUs.
• Serve as subject matter expert on Master Data Management for IT and Analytics initiatives.
• Be a Head of master data manages data governance and ensures data integrity by leading data management efforts across the company.
• Collaborate with IT to launch scalable and reliable data solutions, support system integration efforts, and create operational efficiencies through automation and process improvements.
• Oversee initiatives for improving data management process.
• Mentor and coach team members on data management methodologies.
• Evaluate the performance of data systems and seek ways to enhance them.
• Troubleshoot and authorize the maintenance of data-related problems.
• Support team members in their day-to-day duties.
• BS degree in any fields.
• Proven working experience as Big Data Analytics.
• Proven knowledge of Data analytics and Report.
• Advanced computer skills on MS Office, accounting software and databases.
• Ability to manipulate large amounts of data.
• Ability to direct and supervise.

Experience:

3 years required

Skills:

Compliance, Risk Management, Project Management, English

Job type:

Full-time

• Project Delivery/Management: Support the delivery of data security projects focused on implementing tools such as Opentext, Securiti.AI, Fortanix, Guardium, OneTrust, Thales, Protegrity, and others across Southeast Asia.
• Client Collaboration: Work with clients to assess comprehensive data security risks and provide tailored recommendations for implementing capabilities including for data discovery, classification, encryption, anonymization, tokenization, certificate management, key management, safe data deletion, data loss prevention, Information Prot ...
• Subject Matter Expertise: Offer deep knowledge on security capabilities such as identity management, encryption, endpoint management, data loss prevention, email security, web and browser security, zero trust and key and certificate mgt. (e.g., Information and Data Protection, DLP, Insider Risk Management).
• Configuration and Deployment: Support the setup and deployment of data security solutions, ensuring seamless integration with client environments.
• Project Delivery: Ensure successful delivery of data security solutions across on-premise and cloud environment through strong project management and leadership.
• Client Relationships: Build and nurture positive working relationships with clients, aiming to exceed their expectations.
• Profitability Improvement: Identify opportunities to enhance engagement profitability through automation, creation of accelerators, and reuse of best practices.
• Your role as a leader: At Deloitte, we believe in the importance of empowering our people to be leaders at all levels. We connect our purpose and shared values to identify issues as well as to make an impact that matters to our clients, people and the communities. Additionally, Consultants across our Firm are expected to:Demonstrate a strong commitment to personal learning and development.
• Understand how our daily work contributes to the priorities of the team and business.
• Understand the set expectations and demonstrate accountability in keeping personal performance on track.
• Actively focus on developing effective communications and relationship-building skills with stakeholders, clients and team.
• Demonstrate an appreciation for working with others.
• Understand what is fundamental to Deloitte s success as a business.
• Demonstrate integrity and an awareness of strengths, differences, and personal impact.
• Develop their understanding of Deloitte and offer a fresh perspective.
• Requirements:Degree in cyber security, computer science, business IT or equivalent.
• 3+ years of experience in cybersecurity, with a focus in data security, particularly in developing, implementing, or architecting security solutions from one or more of the listed vendor solutions above.
• 1+ years of hands-on experience with tools across and such as: Identity(Active Directory), Data Security including encryption solutions for storage, databases, networks (Guardium, Opentext, Protegrity, Fortanix, Securiti.AI etc), tokenization (for structured data), digital rights management for unstructured data (MS IRM / Purview), data loss prevention (Symantec, MS, Trellix, Zscaler), data posture mgt. (BigID, Sentra, Wiz, Securiti.AI, IBM Guardium etc.) and should have hands on experience including configuration, deployment, and management.
• Familiarity with standards, frameworks and privacy laws such as ISO/IEC 27701, ISO/IEC 27001, GDPR, PDPA and DAMA International Data Management Body of Knowledge (DAMA-DMBOK) would be a plus.
• Excellent communication and presentation skills, with the ability to influence senior stakeholders and deliver compelling recommendations.
• Strong leadership and team management capabilities, with experience mentoring and developing consultants.
• Preferred CIPP, CIPM, CIPT, CISSP certification or related security certification.
• Able to speak Thai and English fluently.
• Due to volume of applications, we regret that only shortlisted candidates will be notified.
• Please note that Deloitte will never reach out to you directly via messaging platforms to offer you employment opportunities or request for money or your personal information. Kindly apply for roles that you are interested in via this official Deloitte website. Requisition ID: 108675In Thailand, the services are provided by Deloitte Touche Tohmatsu Jaiyos Co., Ltd. and other related entities in Thailand ("Deloitte in Thailand"), which are affiliates of Deloitte Southeast Asia Ltd. Deloitte Southeast Asia Ltd is a member firm of Deloitte Touche Tohmatsu Limited. Deloitte in Thailand, which is within the Deloitte Network, is the entity that is providing this Website.

Job type:

Full-time

• ปฎิบัติงานยัง บริษัท Infinitas by Krungthai
• We seek a skilled Data Scientist to enhance banking through advanced analytics and machine learning. Main responsibility will be transformed complex data into actionable insights and models for risk management, fraud detection, and customer experience optimization. Collaborate with cross-functional teams to implement data-driven strategies that improve business performance and risk management.
• Data Analysis and Modeling
• Develop predictive models for risk assessment and market analysis.
• Design machine learning algorithms for classification, regression and fraud detection.
• Create automated systems for customer behavior analysis.
• Strategic Leadership
• Identify opportunities for data-driven solutions with stakeholders.
• Present analytical findings to executive management.
• Education and Experience
• Bachelor s Degree or higher in Computer Science, Statistics, Mathematics, Engineer or related field.
• Minimum 2 years of experience in financial data science.
• Technical Skills
• Proficiency in Python, and SQL.
• Strong data analysis skills.
• Solid understanding of statistical analysis and modeling techniques.
• Excellent problem-solving skills and attention to detail.
• Strong communication skills, with the ability to explain complex concepts to non-technical stakeholders.
• Domain Knowledge
• Understanding financial markets and banking operations.
• Financial modeling and quantitative analysis expertise.
• Understanding basic fraud detection and anomaly detection.
• You have read and reviewed Infinitas By Krungthai Company Limited's Privacy Policy at https://krungthai.com/Download/download/DownloadDownload_73Privacy_Policy_Infinitas.pdf. 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:

Oracle, Project Management, Database Development, English

Job type:

Full-time

• Establish and maintain the project-wide Project Data Structure database and the corresponding guidelines and ensures that it is consistently applied throughout all relevant processes and tools across the project.
• Development and implementation of information management practices, including tools, guidelines and procedures.
• Assist stakeholders to define and understand their responsibilities in relation to information management.
• Engaging with stakeholders to identify areas in which effective information management can lead to overall business improvement.
• Administrates the collaboration platform Oracle Aconex, establishes uses cases and workflows, provides user support and interfaces with all stakeholders participating in the platform.
• Establish and monitor powerful key performance indicators for steering the project and generate project insights supporting project managers in their decision-making.
• Enhance processes to reduce time to create daily, weekly and monthly reports.
• Use your skills to move the world forward.
• Bachelor s or Master s degree in Engineering with Management, Business Administration, Data Analytics, Information Technology, etc.
• Strong knowledge on subsystems comprising a railway system e.g.: Signaling, Communication, Electrification, Rolling Stock, etc.
• Strong knowledge of core project management and engineering processes e.g.: Document Mgmt., Requirement Mgmt., Change Mgmt., Scheduling, Interface Mgmt., Configuration Mgmt., etc.
• Demonstrated experience and technical expertise in all fields of data analytics, incl. database development, data visualization, data processing and scripting is mandatory.
• Familiarity with Oracle Aconex, IBM DOORS, Oracle Primavera, Power BI, Microsoft Access, Microsoft Office 365 tools (e.g.: Power Platform, SharePoint, etc.).
• Good knowledge of Visual Basic, C#, SQL, XML.
• Fluent English language skills essential, both written and spoken.
• Why you ll love working for Siemens Mobility.
• We live and foster an ownership culture in which every employee takes personal responsibility for our Company's success. We invest in our team members, offering a wide variety of development.
• Flexible working arrangements.
• Flexible Benefits Program for employees & dependents.
• Medical Insurance for Spouse and Children.
• Siemens Share Options.
• National & International opportunities.
• Positive, inclusive and relaxed working environment.
• Join a team dedicated to transforming the everyday for a more sustainable future.
• Siemens prides itself on its diverse workforce.
• Siemens has been recognised as ahead of its time for many reasons, and our progressive policies is one of them. We encourage applications that reflect the diversity of the communities within which we work.
• We are a proud equal opportunity employer, where we continue to push for a work environment of diversity and inclusion, we also believe that differences in personalities, thoughts and ideas are important, and that is why we know diversity and inclusion is very important in helping realise the potential of our people. As part of our Ownership culture, Siemens supports reasonable flexible working practices that empower our employees to best meet work and personal commitments.

Skills:

ETL, SQL, Data Analysis

Job type:

Full-time

• Data Pipeline Development: Create and maintain optimal data pipeline architecture.
• Data Integration: Assemble large, complex data sets that meet functional and non-functional business requirements.
• Process Improvement: Identify, design, and implement internal process improvements, such as automating manual processes and optimizing data delivery.
• Infrastructure Building: Build the infrastructure required for optimal extraction, transformation, and loading (ETL) of data from various data sources using SQL and AWS technologies.
• Master Data Management (MDM): Implement and manage MDM solutions to ensure data consistency, accuracy, and reliability across the organization.
• Data Lake Management: Design, build, and maintain data lakes to store structured and unstructured data, enabling advanced analytics and machine learning.
• Collaboration: Work with stakeholders including data, design, product, and executive teams to assist with data-related technical issues and support their data infrastructure needs.
• Data Analysis Tools: Build analytical tools to utilize the data pipeline, providing actionable insights into key business performance metrics.
• Technical Skills: Proficiency in SQL, Python, big data technologies such as Hadoop, Spark, and AWS, as well as MDM tools and data lake technologies..
• Technical Skills: Platforms, Databases, Programming Languages, Software Appliance: - Oracle: Data Integrator, Golden Gate - Informatica: Data Quality, Data Governance, Dynamic Data Masking, Big Data Management, Enterprise Data Catalog, Intelligent Data Management Cloud, Informatica Master Data Management.
• Analytical Skills: Strong analytical skills with the ability to collect, organize, analyze, and disseminate significant amounts of information..
• Experience: Prior experience in data engineering or a related field, with a solid understanding of data architecture, data modeling, MDM, and data lakes..
• Solution Advisor for Analytics, Cloud, Big Data, and Data Governance.
• Architect MDM solutions, including data modeling, match and merge rule configuration, hierarchy management, and data governance frameworks.
• Designed and implemented ETL processes for integrating MDM solutions with various ERP and CRM systems.
• Perform data quality assessments, cleansing, and validation tasks to maintain data accuracy and reliability.

Job type:

Full-time

• เราให้ความสำคัญกับพนักงานทุกคนอย่างเท่าเทียม ปลูกฝังให้ทุกคนยึดมั่นในการประกอบสัมมาชีพ อย่างมีบรรษัทภิบาลที่ดี.
• เราให้ความสำคัญต่อการพัฒนาศักยภาพพนักงานในทุกๆ ด้าน ด้วยโปรแกรมการฝึกอบรมคุณภาพให้เหมาะสมกับแต่ละคน เพื่อยกระดับการทำงานของพนักงานอย่างมืออาชีพ.
• สำนักงานใหญ่ของบางจาก ถูกออกแบบให้เป็น Smart Office and Smart Display Solution ที่มีความหรูหรา ทันสมัย และประหยัดพลังงาน.
• ความอบอุ่นแบบพี่น้อง คือหัวใจในการดูแลพนักงานใหม่ที่ก้าวเข้ามาในครอบครัวของเรา.
• ความปลอดภัยในการทำงานยังเป็นอีกหนึ่งสิ่งที่สำคัญสูงสุดของธุรกิจปิโตรเลียม ดังนั้นพนักงานบางจากทุกคนจึงต้องผ่านการอบรมตามมาตรฐานความปลอดภัยและอาชีวอนามัยอย่างเข้มข้น.
• พนักงานสบายใจได้กับโปรแกรมประกันสุขภาพ OPD/IPD และเรายังให้เงินช่วยเหลือค่ารักษาพยาบาลสำหรับบุพการี.
• Work life balance คือสิ่งสำคัญ เวลาการทำงานที่ยืนหยุ่นทำให้คุณจัดสรรเวลาได้อย่างลงตัว.

Job type:

Internship

• Team IntroductionThe Global Business Solutions (GBS) team is responsible for the revenue growth of the TikTok business, and our teams include Sales, Marketing, Ops, Account Managers, Agency and partnerships, as well as Marketing Science. GBS is a dynamic, entrepreneurial, and ambitious client group, and our HRBPs who support them are too! We are excited to continue adding to our Human Resources team to attract, engage, and retain top talent to drive the continued growth of the organization. Responsibilities-Data Preparation and Analysis: analyze complex ads and marketing data to un ...
• Minimum Qualifications-Education Background: Academic background in quantitative fields such as mathematics, statistics, economics, or computer science.-Analytical Skills: Previous internship or project experience in business analysis or data-related roles, with the ability to analyze data and generate actionable insights. Experience in the ads or marketing industry is a plus.-Availability: Able to intern at least 3 days per week for a minimum of 3 months.Preferred Qualifications-Technical Skills: Familiarity with Excel, SQL, Python, or R, and foundational knowledge of data visualization tools like Tableau, Power BI, and Think-Cell.-Communication: Business-level English proficiency with strong verbal and written skills to effectively engage with stakeholders and present findings to non-technical audiences.-Problem-Solving & Teamwork: Strong problem-solving abilities, attention to detail, and the capability to collaborate effectively with cross-functional teams to implement solutions and drive results.By submitting an application for this role, you accept and agree to our global applicant privacy policy, which may be accessed here: https://careers.tiktok.com/legal/privacy.If you have any questions, please reach out to us at [email protected]

Skills:

Finance, Accounting, Statistics

Job type:

Full-time

• Strategic Leadership in Data & AI Initiatives: Lead the planning, development, and execution of digital, data, and AI strategies aligned with business goals..
• Cross-functional Collaboration & Stakeholder Engagement: Act as a liaison between technical teams (data scientists, engineers) and business units (marketing, sales & operations, finance & Accounting).
• Oversight of AI/Data Solution Delivery: Ensure end-to-end delivery of high-impact AI/data projects..
• Design and implement enterprise-level data and AI architectures that drive strategic business outcomes.
• Evaluate and select the best technologies and frameworks for data and AI initiatives.
• Collaborate with stakeholders to define requirements and deliver tailored data solutions.
• Provide technical leadership in the integration of AI technologies with existing systems.
• Drive innovation by leveraging emerging trends in AI, machine learning, and big data.
• Establish architectural standards and best practices for data and AI solutions.
• Mentor technical teams, providing guidance on complex architectural challenges.
• Represent the organization s data and AI capabilities in discussions with executive leadership and external stakeholders.
• Bachelor s degree or Master s degree or Ph.D. in Statistics, Mathematics, Computer Science, Computer Engineering, Software Engineering, Data Science, Economics, Business, AI, Machine Learning or related fields.
• At least 5 year+ experience in Software Engineer, Data Engineer, Data Scientist, AI Engineer or others.
• Experience in data and AI architecture, with significant experience in enterprise-level solution design.
• Experience in supply chain and logistics analytics based on SAP ECC and S/4 HANA.
• Extensive expertise in cloud platforms, big data technologies, and advanced AI frameworks.
• Professional certifications in architecture and AI solutions (e.g., TOGAF, Azure/AWS Data Scientist) are required.
• Location: BTS Ekkamai
• Working Day: Mon-Fri.

Skills:

Statistics, Excel, SQL, English

Job type:

Full-time

• Be the partner with PTG s business teams, understand their data needs, and build plans to address those with intelligent data on time.
• To tell a story and provide insights to the users enabled to make better decision by delivering data solution.
• Use statistical tools to identify, analyze, and interpret patterns, trends and insights in complex data sets that could be helpful for the diagnosis and prediction to support PTG s business.
• Responsible for planning and providing final analysis report for PTG s business to understand the data-analysis steps, enabling them to take important decisions based on various facts and trends.
• Encourage and collaborate with multiple internal stakeholders to use statistical / analytical tools in planning and decision-making process.
• Bachelor s degree in computer science, data analytics, statistics, economics or related fields.
• Proficient in data analytics tools and other computer programs; MS Word, Excel, PowerPoint etc.
• Excellent communication skill both in Thai and English.
• Experience in programming and SQL.
• Able to work under pressure and with multiple stakeholders within limited timeline.
• Interested in new technologies / innovations.
• Master's degree in a quantitative discipline.
• At least 1-2 years of experience in a similar role preferably with solid knowledge in food & beverage industry, CRM and retail business.
• Experience working on teams that managed large scale data projects.
• Knowledge with Data Science, Advanced Analytics, Machine learning tools, and methodologies.
• Conceptual, logical and physical data modeling, and data architecture knowledge.
• Visualization expertise in tools like Tableau and Power BI etc.
• PTG Energy Public Company Limited
• 90 CW Tower, Tower A, 33rd Floor, Ratchadaphisek Road, Huaykwang, Bangkok 10310
• www.ptgenergy.co.th.

Skills:

Compliance, Risk Management, SAP

Job type:

Full-time

• Develop Data Governance Framework and data management strategy & roadmap.
• Develop data policy, rules and regulations to control data management standard control ensure compliance with data management, data privacy and global regulations.
• Take the lead in managing data governance framework, data policy and standards with a focus on establishing and ensuring organization adherence to an enterprise data governance framework.
• Partner with Risk Management, Security and Compliance teams to identify related regulatory requirements and implications such as PDPA/GDPR and drive gap assessment and improvement to data policy, standards and governance processes.
• Develop and own the data sharing principles, operational model and process to govern data exchanges with external data ecosystem.
• Review and advise on data sharing to 3rd parties to approval protocol, data usage conditions, as well as data minimization practice.
• Communicate and engage various projects to ensure activities of data management in assigned projects to comply with data management standard and controls.
• Provide stakeholders a thorough advice on data accessibility, and/or data management based on deep understanding of data use cases, data Lake and its ecosystem architecture.
• Drive Data Stewardship and Data Governance program and enterprise-wide data governance awareness throughout the organization including identifying a phased approach to progress and mature the program.
• EDUCATION.
• Bachelor s degree in Computer Science, Computer Engineering, Information Technology, or related discipline.
• EXPERIENCE.
• Experience in writing or working with various documents such as policy, standard, procedure, and guideline.
• Knowledge of data platform concept, data lake.
• Advanced knowledge of data management life cycle.
• Good communication, strong analytical and problem-solving skills.
• Experience in data governance or data management.
• Experience in design of data platform, data engineer.
• Experience business-driven data governance practices implementation.
• Experience with on premised and cloud service eg AWS, Azure, SAP.
• Experience with data pipeline and data management tools.
• Experience in writing or working with various documents such as policy, standard, procedure, and guideline.
• OTHER REQUIREMENTS.

Job type:

Full-time

• Develop product strategy and product development in the analyticX group, Open API, and related platforms such as MarTech and EdTech to meet market demands and align with the company s business plan.
• Manage product revenue, profit, and cost to ensure alignment with business goals and financial targets.
• Possess strong technical knowledge and understanding across key domains, including Software Development, Data Analytics, AI and ML, API and Interface Design, as well as ...
• Deliver impactful product presentations, consultative selling, and design effective solutions for clients, with the ability to successfully close deals. Represent the company as a speaker at relevant events and engagements when required.
• Define product and pricing positioning, plan Go-to-Market (GTM) strategy and Sales & Partner strategies, and work closely with marketing and sales teams on communication and account planning to drive sales performance in line with company objectives..
• A Master s degree in Engineering, Science, Computer Science, Data Science, or another STEM-related field.
• (For candidates holding a Master s degree in Marketing or Business Administration, a Bachelor s degree in a STEM field is required.).
• More than 10 years of work experience, including at least 5 years in Software Product Development in roles such as Product Owner, Business Analyst, System Analyst, or equivalent; and at least 3 years of experience specifically related to Data Analytics.
• Strong understanding of core concepts in Software Development, Data Analytics, AI and Machine Learning, API and Interface Design, and UX/UI Development, with the ability to communicate effectively with domain experts.
• Solid understanding of the mobile operator business or at least one type of B2B business. Experience working with or utilizing Telco Data is a strong advantage.
• Excellent communication and presentation skills, both internally and externally.
• Proven ability in consultative selling, including influencing and closing deals with clients.
• Possesses a growth mindset, is eager to learn, and demonstrates strong self-learning capabilities.
• Strong in strategic thinking, logical thinking, analytical skills, and critical thinking.
• Able to solve complex problems and effectively manage multiple stakeholders.
• Thrives in an outcome-driven environment, demonstrates high self-motivation and autonomy, is highly adaptable, and committed to performing well in a dynamic and fast-paced setting.

Skills:

SQL, Oracle, English

Job type:

Full-time

• Ability to read, write, and speak Thai fluently.
• Excellent proficiency in English, both spoken and written.
• 3+ years experience with PowerBI, including report creation, dashboard development, and data visualization best practices.
• Proficiency in SQL for data extraction, advanced calculation, manipulation, and analysis.
• Experience working in one or all of the areas including: E-commerce order management; logistics and warehouse operations; central inventory management and replenishment.
• Experience querying Oracle, PostgreSQL, or similar, database technologies.
• Strong understanding of APIs, un/semi structure data, data modeling, and data integration techniques.
• Able to gather requirement from business users and are able to suggest on data visualization.
• Excellent problem-solving skills, with the ability to interpret and communicate complex data insights effectively.

Experience:

5 years required

Skills:

Data Analysis, Automation, Python

Job type:

Full-time

• Work with stakeholders throughout the organization to understand data needs, identify issues or opportunities for leveraging company data to propose solutions for support decision making to drive business solutions.
• Adopting new technology, techniques, and methods such as machine learning or statistical techniques to produce new solutions to problems.
• Conducts advanced data analysis and create the appropriate algorithm to solve analytics problems.
• Improve scalability, stability, accuracy, speed, and efficiency of existing data model.
• Collaborate with internal team and partner to scale up development to production.
• Maintain and fine tune existing analytic model in order to ensure model accuracy.
• Support the enhancement and accuracy of predictive automation capabilities based on valuable internal and external data and on established objectives for Machine Learning competencies.
• Apply algorithms to generate accurate predictions and resolve dataset issues as they arise.
• Be Project manager for Data project and manager project scope, timeline, and budget.
• Manage relationships with stakeholders and coordinate work between different parties as well as providing regular update.
• Control / manage / govern Level 2 support, identify, fix and configuration related problems.
• Keep maintaining/up to date of data modelling and training model etc.
• Run through Data flow diagram for model development.
• EDUCATION.
• Bachelor's degree or higher in computer science, statistics, or operations research or related technical discipline.
• EXPERIENCE.
• At least 5 years experience in a statistical and/or data science role optimization, data visualization, pattern recognition, cluster analysis and segmentation analysis, Expertise in advanced Analytica l techniques such as descriptive statistical modelling and algorithms, machine learning algorithms, optimization, data visualization, pattern recognition, cluster analysis and segmentation analysis.
• Expertise in advanced analytical techniques such as descriptive statistical modelling and algorithms, machine learning algorithms, optimization, data visualization, pattern recognition, cluster analysis and segmentation analysis.
• Experience using analytical tools and languages such as Python, R, SAS, Java, C, C++, C#, Matlab, SPSS IBM, Tableau, Qlikview, Rapid Miner, Apache, Pig, Spotfire, Micro S, SAP HANA, Oracle, or SOL-like languages.
• Experience working with large data sets, simulation/optimization and distributed computing tools (e.g., Map/Reduce, Hadoop, Hive, Spark).
• Experience developing and deploying machine learning model in production environment.
• Knowledge in oil and gas business processes is preferrable.
• OTHER REQUIREMENTS.

Skills:

SAP, English

Job type:

Full-time

• Design, build and configure applications to meet business process and application requirements.
• Keep abreast of current and emerging SAP technologies and trends and assist in the selection of robust and appropriate technologies.
• Design and deliver retail-specific processes and end to end functional configuration in SAP.
• Demonstrate technical expertise in end-to-end configuration of sales and supply chain processes in SAP (or S/4 HANA).
• At least 1 year of experience in any SAP module with Data Migration.
• Degree in Information Technology, Computer Science or another relevant field.
• Hands on experience in Functional or Data Migration.
• Can converse in Thai and English.

Skills:

Market Research, Research, Excel

Job type:

Full-time

• Identify and develop strategic suppliers with the capability to co-develop Fresh Food products.
• Maintain strong, collaborative relationships with reliable suppliers, ensuring consistent product quality and availability.
• Manage supplier agreements, ensuring all commitments such as pricing and invoice controls are documented and complied with.
• Conduct regular supplier and producer visits to strengthen partnerships and oversee product quality.
• Product Management & DevelopmentConduct market research and competitor analysis to identify opportunities for product innovation and category expansion.
• Collaborate with the marketing team to plan and execute new product launches and in-store activities that drive sales and customer engagement.
• Support category growth through data-driven recommendations on assortment, pricing, and promotional strategies.
• Pricing & Promotion ManagementAnalyze pricing structures and propose adjustments to optimize margin and competitiveness.
• Plan and manage promotional programs including Makro Mail, ensuring alignment with business objectives and sales targets.
• Team & Cross-functional CollaborationProvide timely feedback on market trends, competitor activities, and category performance to line managers and relevant teams.
• Share essential category information with stores, including product details, supplier contacts, ordering processes, and promotional plans.
• Conduct regular store visits to monitor execution, identify operational issues, and ensure product quality, presentation, and availability are maintained.
• Qualifications:Bachelor's degree in Business Administration, Food Science, Economics, or related field.
• 3-5 years of experience in merchandising, category management, or supplier management, preferably within Fresh Food or FMCG sectors.
• Strong analytical and data management skills; proficiency in Excel, Power BI, Tableau, or similar analytics tools.
• Knowledge of product development processes and retail promotional planning.
• Strong negotiation and relationship management skills.
• Excellent communication, coordination, and project management capabilities.
• Ability to work cross-functionally and manage multiple stakeholders.

Skills:

Data Analysis, ETL, Data Warehousing

Job type:

Full-time

• Data Architecture: Design, develop, and maintain the overall data architecture and data pipeline systems to ensure efficient data flow and accessibility for analytical purposes.
• Data Integration: Integrate data from multiple sources, including point-of-sale systems, customer databases, e-commerce platforms, supply chain systems, and other relevant data sources, ensuring data quality and consistency.
• Data Modeling: Design and implement data models that are optimized for scalability, ...
• Data Transformation and ETL: Develop and maintain efficient Extract, Transform, and Load (ETL) processes to transform raw data into a structured format suitable for analysis and reporting.
• Data Warehousing: Build and maintain data warehouses or data marts that enable efficient storage and retrieval of structured and unstructured data for reporting and analytics purposes.
• Data Quality and Monitoring: Implement data quality checks and monitoring mechanisms to identify and resolve data inconsistencies, anomalies, and issues in a timely manner.
• Performance Optimization: Optimize data processing and query performance to ensure efficient data retrieval and analysis, considering factors such as data volume, velocity, and variety.
• Bachelor's or master's degree in computer science, information systems, or a related field.
• Strong programming skills in languages such as Python, SQL. C++ is plus.
• At least 5 year experience with data modeling, database design, and data warehousing concepts.
• Proficiency in working with relational databases (e.g., MySQL, PostgreSQL) and big data technologies (e.g., Hadoop, Spark, Hive).
• Familiarity with cloud-based data platforms, such as AWS.
• Knowledge of ETL tools and techniques for data integration and transformation.
• Location: BTS Ekkamai
• Working Day: Mon-Fri (WFA Every Friday).

Skills:

Research, Automation, Statistics

Job type:

Full-time

• Work on Data Architecture. They use a systematic approach to plan, create, and maintain data architectures while also keeping it aligned with business requirements.
• Collect Data. Before initiating any work on the database, they have to obtain data from the right sources. After formulating a set of dataset processes, data engineers store optimized data.
• Conduct Research. Data engineers conduct research in the industry to address any issues that can arise while tackling a business problem.
• Automate Tasks. Data engineers dive into data and pinpoint tasks where manual participation can be eliminated with automation.
• Automate Tasks. Data engineers dive into data and pinpoint tasks where manual participation can be eliminated with automation.
• Bachelor Degree in IT, computer science, statistics, mathematics, business, or related field.
• Minimum of 3 years' experience in data engineer roles.
• Experience in the data analytics lifecycle including problem identification, measurement/matrix, exploratory data analysis and data insight presentation.
• Experience with data tools and languages like CLOUD, Python, Java similar.
• Experience with data processing, ETL and workflow and messaging queue like Kafka.
• Data Warehousing.
• Data Structure.
• ETL Tools Programming Languages (Python, Java, Pyspark).