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Experience:

3 years required

Skills:

Finance, SQL, Tableau

Job type:

Full-time

• Work closely with a diverse set of stakeholders in Finance and other parts of the organization.
• Consult stakeholders to propose the best suited data solution.
• Build end-to-end solutions including data workflows, dashboards, reports etc.
• Become familiar with financial data ecosystem at Agoda.
• Help the Finance Analytics team drive value for the Finance department and Agoda as a whole.
• Undergraduate degree.
• 3+ years of relevant experience using Business Intelligence (BI) & analytics tools (like SQL, Tableau, Metabase, or similar).
• Experience in ETL tools, data modelling and have proficient knowledge of SQL and Relational Databases: the ability to write, execute and interpret queries is essential.
• Quick learner, problem-solving aptitude, effective prioritization, proactive and strong attention to detail.
• High sense of ownership and growth mindset, ability to be self-directed.
• Ability to understand business questions/requests and be able to suggest proper BI solutions which are measurable and scalable.
• Excellent communication skills and ability to influence peers and build strong relationships within Finance and cross-functionally.
• Advanced Excel modelling (OLAP cubes & VBA a bonus).
• Accounting/Financial knowledge and commercial acumen.
• Solid technical/functional knowledge in statistics.
• Familiarity with scrum/agile methodology.
• Other helpful skills - T-SQL, batch scripting, ODBC, data mining, Hadoop.
• Experience with Wallet and Financial Payment systems, including integration and data analysis.
• Understanding of digital payment processes and financial transaction data.
• Equal Opportunity Employer.
• At Agoda, we pride ourselves on being a company represented by people of all different backgrounds and orientations. We prioritize attracting diverse talent and cultivating an inclusive environment that encourages collaboration and innovation. Employment at Agoda is based solely on a person's merit and qualifications. We are committed to providing equal employment opportunity regardless of sex, age, race, color, national origin, religion, marital status, pregnancy, sexual orientation, gender identity, disability, citizenship, veteran or military status, and other legally protected characteristics.
• We will keep your application on file so that we can consider you for future vacancies and you can always ask to have your details removed from the file. For more details please read our privacy policy.
• Disclaimer.
• We do not accept any terms or conditions, nor do we recognize any agency's representation of a candidate, from unsolicited third-party or agency submissions. If we receive unsolicited or speculative CVs, we reserve the right to contact and hire the candidate directly without any obligation to pay a recruitment fee.

Skills:

Finance, Statistics, Python

Job type:

Full-time

• เก็บรวบรวมและวิเคราะห์ข้อมูลที่ส่งผลกระทบต่อองค์กร จากหลายแหล่ง ทั้งภายในและภายนอก ทั้งในด้าน Finance & Non Finance รวมถึง เหตุการณ์ที่เกิดขึ้นอันอาจจะกระทบความเป็นอยู่ของพนักงาน.
• วิเคราะห์พฤติกรรม/เหตุการณ์ และคาดการณ์โอกาสหรือผลอันอาจจะกระทบต่อบริษัทและพนักงาน.
• ออกแบบและทำการทดสอบวิธีใช้งานข้อมูลและเทคนิคการวิเคราะห์ใหม่ๆ เพื่อนำเสนอมุมมองทางธุรกิจใหม่ๆให้แก่ผู้ที่เกี่ยวข้อง.
• การจัดทำรายงานและ Dashboard.
• จัดทำรายงานสรุปข้อมูลที่เข้าใจง่าย และสร้าง Dashboard ให้ผู้บริหาร.
• นำเสนอผลการวิเคราะห์เพื่อประกอบการตัดสินใจเชิงกลยุทธ์.
• สนับสนุนการทำงานของทีมงานในด้านข้อมูล.
• การสร้าง ดูแล และ อัปเดตฐานข้อมูล และการประมวลผลข้อมูลขนาดใหญ่.
• พัฒนาและใช้งานระบบอัตโนมัติ ในการทำงานกับฐานข้อมูล.
• งานอื่นๆที่เกี่ยวข้องเพื่อสนับสนุนการทำงานของทีมวิเคราะห์ข้อมูล.
• ปริญญาตรีด้าน Mathematics, Data Science, Statistics, Computer Science, Business Analytics หรือสาขาอื่นที่เกี่ยวข้อง.
• มีประสบการณ์อย่างน้อย 2-5 ปีในด้าน Data Analytics หรือ Data Science.
• มีประสบการณ์ด้าน Data Visualization และสามารถนำเสนอข้อมูลได้อย่างมีประสิทธิภาพ ผ่านเครื่องมือที่เหมาะสม.
• มีทักษะการเขียนโปรแกรม เช่น Python, SQL และเครื่องมือ BI เช่น Power BI หรือใกล้เคียง.
• มีประสบการณ์และความเข้าใจในการใช้เทคนิค Machine Learning พื้นฐาน (เช่น Data Clustering, Time series analysis ) ในการวิเคราะห์ข้อมูลที่มีความซับซ้อนหรือข้อมูลขนาดใหญ่.
• หากมีประสบการณ์กับ Cloud Platform (เช่น AWS, GCP, Azure) จะพิจารณาเป็นพิเศษ.
• Contact Information:-.
• K. Sawarin Tel.
• Office of Human Capital.
• TSPACE DIGITAL COMPANY.
• ThaiBev Quarter.

Skills:

ETL, Python, Java

Job type:

Full-time

• Design, develop, and maintain scalable data pipelines and ETL processes.
• Implement and optimize data storage solutions, including data warehouses and data lakes.
• Collaborate with data scientists and analysts to understand data requirements and provide efficient data access.
• Ensure data quality, consistency, and reliability across all data systems.
• Develop and maintain data models and schemas.
• Implement data security and access control measures.
• Optimize query performance and data retrieval processes.
• Evaluate and integrate new data technologies and tools.
• Mentor junior data engineers and provide technical leadership.
• Collaborate with cross-functional teams to support data-driven decision-making.
• RequirementsBachelor's or Master's degree in Computer Science, Engineering, or a related field.
• 5+ years of experience in data engineering or related roles.
• Strong programming skills in Python, Java, or Scala.
• Extensive experience with big data technologies such as Hadoop, Spark, and Hive.
• Proficiency in SQL and experience with both relational and NoSQL databases.
• Experience with cloud platforms (AWS, Azure, or GCP) and their data services.
• Knowledge of data modeling, data warehousing, and ETL best practices.
• Familiarity with data visualization tools (e.g., Tableau, Power BI).
• Experience with version control systems (e.g., Git) and CI/CD pipelines.
• Strong problem-solving skills and attention to detail.
• Excellent communication and collaboration skills.

Skills:

Compliance, AutoCAD

Job type:

Full-time

• Assist in the design and development of mechanical systems including HVAC, Fire protection, and Hydraulic systems tailored for data center needs.
• Help plan and manage maintenance activities for mechanical systems, ensuring adherence to industry standards and operational efficiency.
• Maintain accurate records of mechanical system designs, maintenance activities, and compliance with safety regulations.
• Participate in site inspections to assess mechanical systems' condition and ensure compliance with design specifications.
• Assist in coordinating with third-party vendors for maintenance and upgrades, ensuring that all work meets established standards.
• Be available to respond to on-site incidents and assist senior engineers in troubleshooting mechanical failures.
• Engage in ongoing training and professional development opportunities to stay updated on the latest technologies in the data center industry.
• Bachelor s degree in mechanical engineering or a related field is required.
• At least 4 years of experience in mechanical engineering, preferably within a data center or critical environment.
• Basic understanding of HVAC systems, mechanical design principles, and relevant software tools (e.g., AutoCAD).
• Strong problem-solving abilities to identify issues and propose effective solutions.
• Good verbal and written communication skills for effective collaboration with team members and vendors.
• Ability to work well within a team environment while also being capable of taking initiative when necessary.
• Be able to travel to the provincial area.
• Fluent in English both written and verbal (Minimum 750 TOEIC score).
• Goal-Oriented, Unity, Learning, Flexible.

Skills:

ETL

Job type:

Full-time

• Design, develop, and modify ETL pipelines for efficient data processing and integration.
• Optimize long-running batches and enhance overall system performance.
• Automate data validation and quality checks within ETL workflows.
• BI Reporting.
• Develop new BI reports and dashboards based on business requirements using tools like OBIEE/BIP and Microsoft PowerBI.
• Support and enhance existing reports, ensuring accuracy and relevance.
• Collaborate with business users to gather requirements and translate them into actionable reporting solutions.
• Data Management.
• Identify, analyze, and resolve data discrepancies and quality issues.
• Implement data fixes and validate results to maintain data integrity.
• Assist in building and maintaining data structures and views for better insights.
• System Support & Collaboration.
• Provide technical assistance for troubleshooting and resolving issues in data integrations and BI systems.
• Collaborate with cross-functional teams to prioritize and address data-related requests.
• Document processes, technical designs, and workflows to facilitate knowledge sharing.
• Process Improvement.
• Contribute to the enhancement of existing systems by implementing the best practices for data pipelines and BI development.
• Develop and maintain detailed logging and alert systems for proactive issue resolution.

Skills:

SAS, SQL, Tableau

Job type:

Full-time

• Produce daily, weekly, monthly business report for the Collections Department.
• Develop and automated data processes, including routine and ad-hoc reports, to improve efficiency.
• Coordinated cross-functional teams to define business objectives and present complex data insights clearly.
• Analyzed and improved existing business reports and provided support for problem-solving and new business requirements.
• Enhance collector performance by implementing report for performance tracking, involving requirements gathering and report template design by using tools such as SAS.
• Design and develop data visualization, dashboards, to support business comprehend data and make critical decisions.
• Estimate costs and benefits for the sales campaign, incentive schema of the Collections Department.
• Bachelors and / or Masters degree in any field.
• 3+ years experience as MIS.
• Experience in using SAS, SQL, Powe BI, Tableau, Access and Excel (Pivot, VLOOKUP).

Experience:

7 years required

Skills:

Scala, Java, Kotlin, English

Job type:

Full-time

• Think and own the full life cycle of our products, not just a single piece of code - from business requirements, technology selection, coding standards, agile development, unit and application testing, to CI/CD and proper monitoring.
• Design, develop and maintain platforms and data pipelines across fintech.
• Improve scalability, stability, and efficiency of our existing systems.
• Write great code and help others write great code - mentor people in your team and the wider organisation.
• Collaborate with other teams and departments.
• Help us hire extraordinary talent such as yourself!.
• What You'll need to Succeed.
• Minimum 7 years of experience under your belt developing performance-critical applications that run in a production environment using Scala, Java, C# or Kotlin.
• Experience with data tooling: Spark, Kafka, Workflow Orchestration Tools.
• Advanced working SQL knowledge and experience working with relational databases, query authoring (SQL) as well as working familiarity with a variety of databases.
• Experience building and optimizing 'big data' data pipelines, architectures and data sets. In depth knowledge of Model and Design of DB schemas for read and write performance.
• Experience performing root cause analysis on internal and external data and processes to answer specific business questions and identify opportunities for improvement.
• Build processes supporting data transformation, data structures, metadata, dependency and workload management.
• Experience supporting and working with Scrum in Agile Cross-functional teams.
• Excellent verbal and written English communication skills.
• It's great if you have.
• Deep experience with spark based distributed data pipelines. Able to deep dive and solve challenges in spark query plans and optimize code. Experience in Spark streaming is a plus.
• Strong experience building finance stack applications including ledgers, revenue recognition, monetary transfers and reconciliations, financial accounting platforms etc.
• Experience handling financial data risk management and data governance projects.
• Experience supporting internal and external financial audits.
• Experience with data profiling, data lineage, data cataloging to enhance data governance and documentation.
• Experience in leading projects, initiatives and/or teams, with full ownership of the systems involved.
• Experience with building data pipelines to integrate 3rd parties is plus.
• Equal Opportunity Employer.
• At Agoda, we pride ourselves on being a company represented by people of all different backgrounds and orientations. We prioritize attracting diverse talent and cultivating an inclusive environment that encourages collaboration and innovation. Employment at Agoda is based solely on a person's merit and qualifications. We are committed to providing equal employment opportunity regardless of sex, age, race, color, national origin, religion, marital status, pregnancy, sexual orientation, gender identity, disability, citizenship, veteran or military status, and other legally protected characteristics.
• We will keep your application on file so that we can consider you for future vacancies and you can always ask to have your details removed from the file. For more details please read our privacy policy.
• Disclaimer.
• We do not accept any terms or conditions, nor do we recognize any agency's representation of a candidate, from unsolicited third-party or agency submissions. If we receive unsolicited or speculative CVs, we reserve the right to contact and hire the candidate directly without any obligation to pay a recruitment fee.

Skills:

Payroll, Labor law, Finance

Job type:

Full-time

• Prepare and process monthly payroll for all staff, including permanent, AEC, and temporary employees.
• Verify attendance, OT, leave records, and payroll adjustments in line with company policies and labor law requirements.
• Coordinate with finance and accounting for salary disbursements, statutory payments (SSO, provident fund, etc.), and year-end tax submissions (PND.1, PND.91).
• Maintain confidentiality and security of payroll data at all times.
• Handle payroll inquiries from employees and resolve discrepancies in a timely manner.
• Payroll Data Analysis & Reporting (30%).
• Analyze payroll trends, such as OT costs, headcount costs, and turnover-related payroll impacts.
• Provide regular and ad hoc reports to management (e.g., cost center reports, headcount budget vs. actual, overtime trend analysis).
• Collaborate with HRBP and Operations to provide insights that support manpower planning and cost control initiatives.
• Support HR projects such as cost-saving initiatives, audit reviews, or workforce optimization with relevant data.
• System & Process Improvement (10%).
• Maintain and enhance payroll data accuracy in HRIS/payroll systems.
• Collaborate with IT and system vendors (e.g., Prosoft) to improve payroll system functionality.
• Develop tools or templates to automate manual payroll tasks and reduce errors.
• Support digital transformation and HR analytics initiatives.
• Bachelor s degree in HR, Accounting, Finance, Business Administration, or related field.
• 3-5 years of payroll experience in a medium to large organization; experience with AEC workers and warehouse operations is a plus.
• Strong Excel and data analysis skills (e.g., pivot tables, v-lookups, basic formulas); Power BI knowledge is an advantage.
• Experience with HRIS/payroll systems (e.g., Prosoft, SAP, Workday) is preferred.
• Good understanding of Thai labor law, taxation, and statutory contributions.
• High attention to detail and accuracy.
• Analytical and problem-solving mindset.
• Ability to meet tight deadlines under pressure.
• Strong confidentiality and data integrity ethics.
• Collaborative and proactive communicator.

Experience:

3 years required

Skills:

Python, SQL, Analytical Thinking, English

Job type:

Full-time

• English as working language.
• Minimum of 3 years data analytics related working experiences.
• At least 1 year of working experience directly communicate to business team.
• Proficient in Python or SQL.
• Advanced hands on experiences with visualization tool.
• Strong communication and analytical thinking skills.
• Good balance of data and business knowledge.
• Fintech or banking industry.
• Internet companies with mobile application.
• Contact: [email protected].
• 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

• The 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. You will get unparalleled opportunities for you to kickstart your career, pursue bold ideas and explore limit ...
• Minimum Qualifications-Bachelor degree or above, graduate degree is preferred, math, statistics, computer-related majors are preferred, strong capability of data analytics is required;-experience in research and analysis positions in consulting, e-commerce/ads is preferred. Preferred Qualifications-Outstanding reasoning capability and logic, with good problem solving methodologies, being able to independently output quality strategic solutions, strong learning and adaptive ability, strategic framework thinking, sensitivity and insight into the business;-Have some strategic thinking capacity, able to quickly understand the business and discover the connection between business and data performance;-Proficiency in SQL for data analysis, understanding of common statistical and analytical methods, and skills in BI visualization tools such as Tableau/Power BI is a plus;-Fast learner, passionate about participating in business, and able to adapt to high intensity and fast growth work environment.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:

SQL, Python, SAS, English

Job type:

Full-time

• Lead the end-to-end development of Health analytics infrastructure, translating complex business problem statement into robust analytical solutions that support FWD strategic goals.
• Collaborate with Group Office and cross-functional teams to design and maintain advanced statistical models and analytical tools (e.g., SQL, Python, SAS, R), ensuring scalability, accuracy, and alignment with portfolio performance analysis.
• Decision Enablement and Business Impact.
• Lead the planning and execution of cross-functional analytics initiatives to develop predictive & statistical models and early warning systems for emerging health trends, fraud risk mitigation, and operational efficiencies.
• Partner with data and health operations teams to lead and drive AI/ML initiatives that enhance analytics capability, automate insights generation, and improve decision quality in key health domains.
• Provide strategic insights by synthesizing internal data and external market intelligence to influence underwriting, sales, and operations, enabling evidence-based decision making at executive levels.
• Champion the adoption of Group Office and enterprise-wide analytics best practices, positioning the analytics team as a proactive business partner in driving long-term impact for Health business.
• Portfolio Monitoring/Business Planning.
• Oversee the end-to-end delivery of monthly health portfolio performance reports on experience (Loss/Lapse/Expense) to ensure data accuracy and timely insights for strategic review.
• Analyze and synthesize reporting outputs into clear, actionable commentaries for local senior leadership and Group Office, enabling informed decision-making.
• Support the Strategy/Finance teams by contributing to the development and planning of Health business plans.
• Identify portfolio risks and growth opportunities by proactively monitoring health insurance trends and performance indicators, and recommend strategic interventions or pricing adjustments to senior management.
• Bachelor s degree (or higher) in Actuarial Science or related field.
• Progress toward an associate of international recognized actuarial bodies e.g. SoA/IFoA/IAA.
• 8+ years of experience on Health Portfolio Analytics, management, or pricing.
• Good communication in both Thai and English.

Job type:

Full-time

• Support the planning phase of the KBP (Key Business Partner) program, developing suitable seller commitments and reward structures.
• Collaborate with and align key stakeholders and top management to secure program approval.
• Oversee the seamless execution and launch of the program across six countries.
• Monitor program performance and address issues arising in different markets with effective solutions.
• Analyze seller performance data to optimize the program, ensuring sellers meet commitments and grow with the platform..
• Minimum 2 -3 years of experience in program management or a related field within e-commerce or technology.
• Strong analytical skills with proficiency in Excel (essential) and experience in data-driven decision-making.
• Excellent communication skills to engage with diverse stakeholders and top management effectively.
• Ability to manage cross-functional teams and drive alignment across multiple markets.
• A strategic mindset with the ability to see the big picture and focus on details simultaneously..
• Additional Attributes.
• Problem-solving skills to address market-specific challenges and adapt strategies as needed.
• Demonstrated capability to transform insights into actionable items.

Skills:

Market Research, Research, Scrum, English

Job type:

Full-time

• Conduct market research and competitive analysis to identify trends, customer needs, and opportunities for innovation.
• Collaborate with stakeholders to gather, document, and analyze business requirements, ensuring alignment with strategic goals.
• Develop and maintain detailed product documentation, including user stories, use cases, workflows, and technical specifications.
• Analyze business processes and workflows, identifying inefficiencies and proposing solutions for optimization.
• Lead and participate in user testing and feedback sessions to validate product ideas, improve usability, and gather insights.
• Prioritize and refine product requirements based on business needs, market trends, and user feedback.
• Monitor and analyze key performance indicators (KPIs) to measure product success and inform decision-making.
• Prepare and present data-driven reports and recommendations to product and leadership teams.
• Develop business cases for new product initiatives and major investments, supporting strategic decision-making.
• Work closely with cross-functional teams to ensure the successful implementation of product features, enhancements, and optimizations.
• Facilitate client engagements and act as a trusted advisor, ensuring smooth communication and alignment with business objectives.
• Native Thai speaker is mandatory, and a good command of written and spoken English is essential.
• 3+ years of experience in business analysis, product management, or a related field.
• Proven ability to analyze complex business problems, identify opportunities, and drive product improvements.
• Strong data-driven decision-making skills, with experience in defining and tracking key product KPIs.
• Excellent communication and stakeholder management skills, with the ability to translate business needs into actionable insights.
• Deep understanding of digital products, business models, and market trends.
• Experience in agile environments, with familiarity in Scrum, Kanban, or Lean methodologies.
• Ability to work cross-functionally in fast-paced environments, collaborating with engineering, UX, and product teams.
• Proficiency in tools like Jira, Confluence, and SQL or data visualization tools (e.g., Power BI, Tableau) is a plus.
• Understanding of user research methodologies and UX principles is a plus.
• About us.
• Seven Peaks is a world-class technology company specializing in Digital Transformation for companies worldwide, delivering scalable software solutions and experience design, aimed at driving business impact.
• We are based in Bangkok, Thailand, with a growing team of more than 180 industry professionals from over 25 different countries currently providing end-to-end Digital Product services - from Product Design, Mobile/Web Development, Cloud Native Solutions, Data and Analytics, IOT Integrated solutions to Quality Assurance and more.
• Seven Peaks acquired Morphosis, one of the leading UX/UI design companies in Thailand which is now part of the Seven Peaks group.
• For more information please visit https://sevenpeakssoftware.com and https://morphos.is/.
• 10(15) days annual paid vacation.
• Flexible working hours.
• Hybrid Working Policy.
• Health & Life insurance.
• Provident Fund.
• Free Lunch every Wednesday.
• Learning and Certifications support.
• Grade A Office in the heart of Bangkok, directly connect with MRT Queen Sirikit Station.
• International work environment with over 20 different nationalities in the team.
• Working with a wide and interesting portfolio of clients in SEA and globally.
• Opportunity to visit events and conferences.
• Standard perks such as free drinks and snacks in the office, team activities, trips and great parties.
• Sponsorship for visa and work permit for expatriates.

Job type:

Full-time

• Understand customers complaint, try to find out the root causes by using problem solving skill.
• Propose the new workflow / automatic tool to reduce customers complaint.
• Develop the solution to improve the quality of all fixed broadband services
• Propose new monitoring tool to meet customers' satisfaction (included reporting tool)
• Bachelor or Master's degree in IT / Computer Engineer / Computer Science, IT or related fields.
• At Least 1 years of work experiences in Unix shell script, Python, PHP, DevSecOps, C#
• Have experience in fixed broadband technology or related field.

Job type:

Full-time

• ออกแบบและดำเนินการวิเคราะห์ข้อมูลเชิงลึก เพื่อสนับสนุนกลยุทธ์องค์กรและเพิ่มประสิทธิภาพในเรื่องต่างๆ เช่น: การตรวจสอบและลดปัญหา Frauded, การวางแผนเพื่อ Optimization.
• สร้าง Dashboard และรายงานแบบ Interactive โดยใช้ Power BI.
• สร้างแบบจำลองทางสถิติ / Machine Learning สำหรับวิเคราะห์ เช่น Sales Forecast, Fuel Consumption T_rends, Customer Segmentation หรือ Anomaly Detection.
• แปลง Pain Point ทางธุรกิจให้เป็นโจทย์วิเคราะห์ข้อมูล และนำเสนอ Insight ที่ actionable และ measurable.
• ร่วมกำหนด KPI และวาง Data Strategy ร่วมกับทีมธุรกิจและน้องๆ ในทีม.
• ถ่ายทอดผลการวิเคราะห์ให้ทีมปฏิบัติการเข้าใจง่าย พร้อมแนวทางการแก้ปัญหาที่นำไปใช้ได้จริง.
• ปริญญาโทขึ้นไปในสาขา Data Science, Statistics, Computer Science, Business Analytics หรือสาขาอื่นที่เกี่ยวข้อง.
• มีประสบการณ์อย่างน้อย 5-10 ปี โดยเฉพาะในบริบทธุรกิจจริง เช่น retail, logistics.
• เชี่ยวชาญการสร้าง Dashboard ด้วย Power BI, Tableau หรือเครื่องมือใกล้เคียง.
• มีทักษะเขียนโปรแกรมและวิเคราะห์ข้อมูลด้วย Python, R, SQL.
• มีความรู้เรื่อง Machine Learning และสามารถใช้ Libraries เช่น scikit-learn, XGBoost, PyTorch ได้.
• มีประสบการณ์ในการทำ Forecasting, Clustering และ Predictive Analytics.
• มีทักษะการคิดเชิงวิเคราะห์สูง สามารถเชื่อมโยงข้อมูลกับบริบทธุรกิจได้ดี.
• หากมีประสบการณ์กับ Cloud Platform เช่น AWS, GCP, Azure จะได้รับการพิจารณาเป็นพิเศษ.

Skills:

Python, ASP.NET, .NET

Job type:

Full-time

• กำกับดูแล Data Pipelines ที่มีการใช้งานจริง และควบคุมงานการสร้าง Data Pipeline ใหม่ รวมถึงการดำเนินการตาม SLA ที่วางแผนร่วมกันกับทีมที่เกี่ยวข้อง.
• ศึกษาเทคโนโลยีใหม่ๆ เพื่อเป็นปรับปรุง Data Pipeline ให้สามารถตอบสนองผู้ใช้งาน รวมถึงความต้องการของทางธุรกิจให้ดีขึ้น.
• ศึกษาทำความเข้าใจระบบต่างๆที่ต้องนำข้อมูลมาจัดให้อยู่ในรูปแบบมาตรฐานและเก็บรวมกันเป็น Single source of truth รวมถึงศึกษาความต้องการใช้ข้อมูลของผู้บริหารในหน่วยธุรกิจ (business unit) ร่วมวางแผนโครงการ, นำเสนองบประมาณและแนวทางดำเนินงาน, นำเสนอข้อมูลทางเล ...
• ออกแบบ และพัฒนา Data Pipeline.
• ออกแบบ Data Pipeline ภายใต้การกำกับดูแลของผู้จัดการงานออกแบบและพัฒนาระบบฐานข้อมูล.
• กำกับดูแล Data Architecture และพัฒนา Data Pipeline.
• กำกับดูแลรับข้อมูลซึ่งมีทั้งแบบ data streaming และ data batch รวมถึงนำส่งข้อมูลให้กับ BU ต่างๆ.
• กำกับดูแลการทดสอบ Data Pipeline ที่ได้ วางแผนการขึ้นระบบของซอฟต์แวร์ร่วมกับผู้ใช้.
• กำกับดูแลการจัดทำเอกสาร คู่มือ การใช้งานซอฟต์แวร์ที่ได้พัฒนาและระบบที่เกี่ยวข้อง เพื่อเป็นเอกสารอ้างอิงการใช้งาน และอ้างอิงในการพัฒนาต่อยอดของซอฟต์แวร์.
• ประสานงานกับหน่วยงานที่เกี่ยวข้องเพื่อแก้ไขปัญหา หรือพัฒนาระบบ.
• กำกับดูแล Data Architecture รวมถึงการพัฒนา Data Pipeline ของเจ้าหน้าที่การออกแบบและพัฒนาระบบ.
• หากมีประสบการณ์ Data Modeling และสามารถออกแบบ Data Architecture ได้ พัฒนาโครงสร้างข้อมูลให้สอดคล้องกับความต้องการของหน่วยธุรกิจ สามารถทำ Logical / Physical Data Model และเข้าใจหลักการจัดการข้อมูล จะพิจารณาเป็นพิเศษ.
• ปริญญาตรีสาขาคอมพิวเตอร์หรือสาขาที่เกี่ยวข้อง.
• มีประสบการณ์ทางด้าน Data Engineer/ Data Architect อย่างน้อย 3 ปี.
• มีความเข้าใจในงาน Data Engineer สามารถทำ Data Pipeline ทั้งในรูปแบบ Batch และ Stream.
• สามารถเขียนและใช้งาน Python, ASP.net C#, MSSQL, MySql.
• สามารถเขียนและใช้งาน Golang, Kafka, Debezium CDC, Apache Airflow, Apache Spark, MongoDB (ถ้ามี).
• มีทักษะการใช้งาน Database.
• มีทักษะในการใช้ SQL.
• มีทักษะในการใช้ Pivot Table.
• มีทักษะในการทำ Performance Tuning ของระบบฐานข้อมูล.
• มีทักษะ Critical thinking and Problem solving.
• ติดต่อสอบถาม.
• สำนักทรัพยากรบุคคล.
• บริษัท ไทยเบฟเวอเรจ จำกัด (มหาชน).
• อาคารเล้าเป้งง้วน 1 333 ถนน วิภาวดีรังสิต จอมพล เขตจตุจักร กรุงเทพมหานคร 10900.

Skills:

Business Development

Job type:

Full-time

• Interface directly with clients to understand their data needs and business objectives.
• Develop and oversee the execution of data strategies including data management, migration, deduplication, and customer unique identification.
• Lead and manage teams responsible for implementing large-volume data migrations and integrations.
• Ensure robust data pipeline and architecture design to support customer data master and customer 360 views.
• Drive proposal development and contribute to business development activities across the Southeast Asian market.
• Collaborate with stakeholders to ensure clear communication and alignment on project goals and deliverables.
• Offer consultative insights to enhance business processes and data-driven decision-making capabilities.
• 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, Senior Consultants across our Firm are expected to:Actively seek out developmental opportunities for growth, act as strong brand ambassadors for the firm as well as share their knowledge and experience with others.
• Respect the needs of their colleagues and build up cooperative relationships.
• Understand the goals of our internal and external stakeholder to set personal priorities as well as align their teams work to achieve the objectives.
• Constantly challenge themselves, collaborate with others to deliver on tasks and take accountability for the results.
• Build productive relationships and communicate effectively in order to positively influence teams and other stakeholders.
• Offer insights based on a solid understanding of what makes Deloitte successful.
• Project integrity and confidence while motivating others through team collaboration as well as recognising individual strengths, differences, and contributions.
• Understand disruptive trends and promote potential opportunities for improvement.
• Requirements:Bachelor s degree in Computer Science/Engineering or a related field.
• Proven experience in data engineering, including hands-on experience with data pipelines, data management, and data migration.
• Experience in leadership roles such as Data Lead or Technical Lead, with a strong track record of interfacing with clients and managing large teams.
• Strong consulting skills, including stakeholder management, team management, and effective communication.
• Ability to conceptualize and articulate data solutions that meet client needs and align with business objectives.
• Experience in marketing technology or commerce-related data projects is highly desirable.
• Proficiency in designing and delivering presentations and proposals to support business development.
• Familiarity with the Southeast Asian market and its unique business challenges and opportunities.
• Expertise in leading key data projects such as customer data integration, deduplication, and unique customer identification.
• Strong analytical and problem-solving capabilities with a consultative approach to addressing client issues.
• Due to volume of applications, we regret 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. #LI-AZRequisition ID: 108768In 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.

Experience:

7 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, Senior Consultants across our Firm are expected to:Actively seek out developmental opportunities for growth, act as strong brand ambassadors for the firm as well as share their knowledge and experience with others.
• Respect the needs of their colleagues and build up cooperative relationships.
• Understand the goals of our internal and external stakeholder to set personal priorities as well as align their teams work to achieve the objectives.
• Constantly challenge themselves, collaborate with others to deliver on tasks and take accountability for the results.
• Build productive relationships and communicate effectively in order to positively influence teams and other stakeholders.
• Offer insights based on a solid understanding of what makes Deloitte successful.
• Project integrity and confidence while motivating others through team collaboration as well as recognising individual strengths, differences, and contributions.
• Understand disruptive trends and promote potential opportunities for improvement.
• Requirements: If you are someone with:Degree in cyber security, computer science, business IT or equivalent.
• 5+ 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.

Skills:

ETL, Python, TensorFlow

Job type:

Full-time

• Develop and deploy machine learning models for demand forecasting, customer segmentation, pricing optimization, and inventory management.
• Work with large-scale datasets and implement efficient feature engineering pipelines to enhance model performance.
• Use PySpark to process and analyze large datasets in a distributed computing environment.
• Collaborate with data engineers to build scalable data pipelines and ensure data quality.
• Implement MLOps best practices for model deployment, monitoring, and retraining in production.
• Design ETL workflows for preprocessing and transforming structured and unstructured data.
• Communicate findings and recommendations to business stakeholders in a clear and actionable manner.
• Stay up to date with the latest advancements in AI, machine learning, and data engineering.
• 5+ years of experience in data science, machine learning, or applied AI.
• Strong programming skills in Python (pandas, NumPy, scikit-learn, TensorFlow/PyTorch).
• Hands-on experience with PySpark for big data processing and analysis.
• Experience with SQL for querying large datasets efficiently.
• Familiarity with cloud platforms (AWS, GCP, Azure) and distributed computing frameworks.
• Knowledge of MLOps practices (model versioning, CI/CD for ML, monitoring, automation).
• Experience working with ETL workflows and data engineering pipelines.
• Strong understanding of statistical analysis, time-series forecasting, and clustering techniques.
• Excellent problem-solving and communication skills, with the ability to translate data insights into business value.
• Experience in the retail industry or working with e-commerce/consumer data.
• Familiarity with tools like Databricks, Airflow, MLflow, and Docker/Kubernetes.
• Experience with deep learning frameworks for NLP or computer vision.
• 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. .

Job type:

Full-time

• Partner with clients and users to deeply understand business needs and translate them into functional system requirements.
• Manage expectations and provide expert guidance to stakeholders throughout the project lifecycle.
• Lead initiatives to review and improve processes, driving team productivity and operational efficiency.
• Tackle complex operational challenges with innovative business solutions through process improvements and system enhancements.
• Deliver high-quality documentation for knowledge retention and reusability.
• Analyze current processes, recommend improvements, and contribute to project planning and scope definition.
• Prepare insightful reports including pros/cons analysis to support decision-making for technical solutions.
• Ensure successful delivery of projects by aligning business requirements with effective, scalable system solutions.
• Provide training guidance related to system releases and assist in the development of training plans tailored to business needs.
• Offer expert-level support, resolving complex system issues and ensuring smooth user experience.
• Bachelor s degree in IT, Computer Science, or a related field.
• At least 3 years of experience as a Business System Analyst or in a related IT role.
• Background in financial services or cryptocurrency is a strong plus.
• Exceptional communication and interpersonal skills able to influence and collaborate with senior leadership.
• Proactive mindset with the confidence to challenge the status quo and propose new ideas.
• Skilled at managing multiple priorities across various projects.
• Remark: Given the nature of the mentioned position, where employees are involved with customer data and asset values, and/or the company, to comply with legal and regulatory standards established by the Securities and Exchange Commission, as well as to align with laws and overseeing agencies, the company requires a criminal background check as part of the post-interview process before joining the company. Your criminal history information will be retained for a period of 6 months from the start date..
• Important: Candidate Privacy Policy.
• สำคัญ:โปรดอ่านและทำความเข้าใจ: นโยบายความเป็นส่วนตัวด้านทรัพยากรบุคคล สำหรับผู้สมัครงาน และผู้สมัครเข้าฝึกงาน*..
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