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Experience:

2 years required

Skills:

Statistics, Analytical Thinking, SQL, English

Job type:

Full-time

• Partner directly with business stakeholders across Shopee Thailand to solve analytical problems and inform decision-making.
• Design and analyze experiments (A/B tests), including hypothesis formulation, metric definition, impact evaluation, and interpretation.
• Build and apply classical data science and statistical models (e.g. regression, tree-based models, forecasting) to support business use cases such as promotions, marketing, logistics, and operations.
• Deliver clear, actionable insights and recommendations through presentations and discussions with stakeholders.
• Develop lightweight data science solutions, including batch inference and API-based model usage (e.g. LLM APIs), where appropriate.
• Manage multiple projects simultaneously in a fast-paced, dynamic environment.
• Requirements: Bachelor s or Master s degree in Statistics, Data Science, Computer Engineering, Computer Science, Econometrics, or a related quantitative field.
• 2-5 years of experience in data analytics, data science, or quantitative modeling roles.
• Self-motivated with strong analytical thinking and business acumen.
• Strong foundation in probability, statistics, machine learning, and AI.
• Proficiency in SQL and Python, with solid coding skills for data manipulation, modeling, and deployment.
• Experience with experimentation and A/B testing frameworks.
• Excellent English communication skills, with the ability to independently present and discuss insights with stakeholders.
• Strong collaborator who can manage multiple priorities in a fast-paced environment.
• Experience in e-commerce, marketing data science, forecasting, or delivering LLM-driven solutions is a plus.

Job type:

Full-time

• พัฒนาและปรับใช้โมเดล Machine Learning เพื่อเพิ่มประสิทธิภาพในกระบวนการผลิตและการดำเนินงานของธุรกิจ.
• วิเคราะห์ข้อมูลจากกระบวนการผลิต IOT Sensor และระบบควบคุม เพื่อสร้าง Insight ที่ช่วยลดต้นทุน และเพิ่มความปลอดภัย.
• ออกแบบและสร้าง Generative AI Models สำหรับ Use case ต่างๆ.
• ทำงานร่วมกับทีม Business เพื่อหา Use case ที่เหมาะสมเกี่ยวกับ AI/ML.
• สร้าง Pipelines เพื่อนำเข้าข้อมูลที่มีประสิทธิภาพ.
• ปริญญาตรี สาขา Data Science, Computer Science, Computer Engineer หรือสาขาที่เกี่ยวข้อง.
• ประสบการณ์ 1 -2 ปี.
• Machine Learning, Deep Learning, Generative AI,.
• การจัดการข้อมูลขนาดใหญ่.
• เข้าใจการทำงานของ Visualization Tools,.
• ทักษะการทำงานเป็นทีม.
• การสื่อสารที่ดี.

Skills:

Risk Management

Job type:

Full-time

• We are seeking an experienced and strategic Responsible AI Specialist to spearhead our commitment to ethical AI. This pivotal role involves developing and implementing our Responsible AI Framework, establishing robust governance procedures, and ensuring compliance with all relevant regulations. You will collaborate across teams to embed ethical principles into the entire AI lifecycle, from development to deployment. As the key authority on responsible AI, you will champion awareness and best practices, shaping our approach to trustworthy and transparent AI systems.
• For the detailed scope of work.
• Develop and implement the Responsible AI Framework in alignment with organizational goals and ethical standards.
• Establish and oversee governance frameworks and procedures for responsible AI practices.
• Collaborate with cross-functional teams to integrate responsible AI principles into AI development and deployment processes.
• Monitor compliance with regulatory requirements and industry standards related to AI ethics and governance.
• Lead training and awareness programs on responsible AI practices for stakeholders across the organization.
• Act as the primary point of contact for inquiries related to responsible AI initiatives and practices.
• Own and maintain AI Model Inventory and Risk framework.
• Apply now if you have these advantages.
• Degree: Master's degree in Ethics, Law, Data Science, IT, or a related field..
• Experience: 7-10 years of experience in AI governance, compliance, or ethics, with a focus on responsible AI practices in banking and financial services..
• Strong understanding of AI ethics, governance, and regulatory frameworks.
• Excellent leadership and management skills, with the ability to influence and drive change across the organization.
• Strong analytical and critical thinking skills to assess AI systems for ethical considerations.
• Excellent communication and interpersonal skills to engage with diverse stakeholders, including technical teams and executive leadership.
• Experience in risk management and compliance, particularly in the context of AI technologies..
• Why join Krungsri?.
• As a part of MUFG (Mitsubishi UFJ Financial Group), we a truly a global bank with networks all over the world.
• We offer a striking work-life balance culture with hybrid work policies (2 days in office per week).
• Unbelievable benefits such as attractive bonuses and many more..
• Apply now before this role is close. **.
• Please note that we will get in touch with shortlisted candidates only..
• FB: Krungsri Career.
• LINE: Krungsri Career.
• LINKEDIN: Krungsri.
• Applicants can read the Personal Data Protection Announcement of the Bank's Human Resources Function by typing the link from the image that stated below.
• EN (https://krungsri.com/b/privacynoticeen).
• The bank needs to and will have a process for verifying personal information related to the criminal history of applicants before they are considered for employment with the bank..
• ผู้สมัครสามารถอ่านประกาศการคุ้มครองข้อมูลส่วนบุคคลส่วนงานทรัพยากรบุคคลของธนาคารได้โดยการพิมพ์ลิงค์จากรูปภาพที่ปรากฎด้านล่าง.
• ภาษาไทย (https://krungsri.com/b/privacynoticeth).
• หมายเหตุ ธนาคารมีความจำเป็นและจะมีขั้นตอนการตรวจสอบข้อมูลส่วนบุคคลเกี่ยวกับประวัติอาชญากรรมของผู้สมัคร ก่อนที่ผู้สมัครจะได้รับการพิจารณาเข้าร่วมงานกับธนาคารกรุงศรีฯ.

Skills:

SQL

Job type:

Full-time

• BOT (Bank of Thailand) Contact Center for RDT related including new requirement,.
• RDT requirement interpretation.
• Provide RDT Impact assessment for all Krungsri s New Product Initiatives.
• Provide Biz requirement together with Domain expert, data owners and supported functions.
• Support all adhoc requirement.
• Establish and maintain RDT procedure.
• Sign off all the RDT changes, testing and ensure the correct result together with related Domain experts, Data Owners and support functions.
• Provide routine dashboard to all related functions for industry performance.
• Apply now if you have these advantages.
• Bachelor s degree or higher in Computer Science / Management Information System or any related field.
• Experience in Business Analyst / Data Engineer / Data Analyst / Data Governance.
• Experience in regulatory data management,its relationship and dependencies.
• Well-versed in banking industry knowledge and strong in data-related skills for senior / team leader level.
• Well-versed in RDT regulation literacy.
• Well interpersonal skill with IT/Domain Expert/Data Owner.
• Have good understanding in data related skills is a plus (SQL, Analytic, BI tools).
• Why join Krungsri?.
• As a part of MUFG (Mitsubishi UFJ Financial Group), we a truly a global bank with networks all over the world.
• We offer a striking work-life balance culture with hybrid work policies (3 days in office per week).
• Unbelievable benefits such as attractive bonuses, employee loan with special rates and many more..
• Apply now before this role is close. **.
• FB: Krungsri Career(http://bit.ly/FacebookKrungsriCareer [link removed]).
• LINE: Krungsri Career (http://bit.ly/LineKrungsriCareer [link removed]).
• Talent Acquisition Department
• Bank of Ayudhya Public Company Limited
• 1222 Rama III Rd., Bangpongpang, Yannawa, Bangkok 10120.
• หมายเหตุ ธนาคารมีความจำเป็นและจะมีขั้นตอนการตรวจสอบข้อมูลส่วนบุคคลเกี่ยวกับประวัติอาชญากรรมของผู้สมัคร ก่อนที่ผู้สมัครจะได้รับการพิจารณาเข้าร่วมงานกับธนาคารกรุงศรีฯ.
• Remark: The bank needs to and will have a process for verifying personal information related to the criminal history of applicants before they are considered for employment with the bank..
• Applicants can read the Personal Data Protection Announcement of the Bank's Human Resources Function by typing the link from the image that stated below.
• EN (https://krungsri.com/b/privacynoticeen).
• ผู้สมัครสามารถอ่านประกาศการคุ้มครองข้อมูลส่วนบุคคลส่วนงานทรัพยากรบุคคลของธนาคารได้โดยการพิมพ์ลิงค์จากรูปภาพที่ปรากฎด้านล่าง.
• ภาษาไทย (https://krungsri.com/b/privacynoticeth).

Skills:

ETL, SQL

Job type:

Full-time

• เฝ้าระวังและตรวจสอบสถานะการทำงานของ ETL jobs และ data pipelines ต่างๆ ผ่านระบบ Monitoring tools.
• วิเคราะห์และแก้ไขปัญหาที่เกิดขึ้นเมื่อ Job ทำงานไม่สำเร็จ หรือล่าช้า และแก้ไขเบื้องต้น.
• ประสานงานกับทีมที่เกี่ยวข้อง เพื่อแก้ไขปัญหาที่ซับซ้อน.
• เขียนและใช้คำสั่ง SQL ได้เป็นอย่างดีเพื่อสืบค้น ตรวจสอบ และจัดการข้อมูล.
• จัดทำเอกสาร หรือส่งรายงานสรุปปัญหาและแนวทางแก้ไขที่เกิดขึ้นให้กับผู้เกี่ยวข้อง.
• Qualificationsปริญญาตรี สาขาวิทยาการคอมพิวเตอร์, เทคโนโลยีสารสนเทศ, วิศวกรรมศาสตร์ หรือสาขาที่เกี่ยวข้อง.
• ประสบการณ์ 0 - 2 ปี.
• Required Skills:Data Platform, Data Warehouse, Data Integration, SQL, ETL Tools,.
• การแก้ไขปัญหาเฉพาะหน้า.
• มีความละเอียดรอบคอบ.
• ทำงานภายใต้ความกดดันได้ดี..

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:

Business Development, Statistics, Analytical Thinking

Job type:

Full-time

• PTG Energy is looking for a senior data leader to join our Data team, working closely with the CDO and business leaders to drive enterprise business impact through advanced analytics and customer insights.
• This role focuses on applying statistics, data science, and analytical thinking to solve complex business problems-driving growth, customer engagement, and strategic decision-making across PTG s diversified businesses, including Retail, Food & Beverage, Logistics, Services, and Energy.
• Lead high-impact data and analytics initiatives using customer, transaction, and operational data.
• Partner with senior stakeholders to translate advanced analytics into clear, actionable business decisions.
• Contribute to enterprise data & analytics strategy with a strong execution mindset.
• Identify and support new revenue and business opportunities through data-driven insights.
• 7-12 years of experience in data, analytics, or advanced analytics roles (strategy or consulting background is a plus).
• Strong grounding in statistics, data science, and analytical thinking.
• Proven experience delivering measurable business outcomes using data.
• Comfortable influencing senior leaders while remaining hands-on with analytics thinking.
• Backgrounds in Retail, Consumer, Platform, Consulting, or Financial Services are welcome.
• This is a data leadership role with strong business exposure, not a pure strategy or reporting position.
• This role operates as a senior player-coach and works closely with top management.

Experience:

2 years required

Skills:

Research, Python, SQL

Job type:

Full-time

• Develop machine learning models such as credit model, income estimation model and fraud model.
• Research on cutting-edge technology to enhance existing model performance.
• Explore and conduct feature engineering on existing data set (telco data, retail store data, loan approval data).
• Develop sentimental analysis model in order to support collection strategy.
• Bachelor Degree in Computer Science, Operations Research, Engineering, or related quantitative discipline.
• 2-5 years of experiences in programming languages such as Python, SQL or Scala.
• 5+ years of hands-on experience in building & implementing AI/ML solutions for senior role.
• Experience with python libraries - Numpy, scikit-learn, OpenCV, Tensorflow, Pytorch, Flask, Django.
• Experience with source version control (Git, Bitbucket).
• Proven knowledge on Rest API, Docker, Google Big Query, VScode.
• Strong analytical skills and data-driven thinking.
• Strong understanding of quantitative analysis methods in relation to financial institutions.
• Ability to clearly communicate modeling results to a wide range of audiences.
• Nice to have.
• Experience in image processing or natural language processing (NLP).
• Solid understanding in collection model.
• Familiar with MLOps concepts.

Skills:

Research, Big Data, Full Stack, English

Job type:

Full-time

• Develop customer and business insights to identify business opportunities or resolve business challenges, and provide actionable recommendations to guide business decisions.
• Prepare data from different data sets for building analytical models and delivering customer insights and recommendations to guide business decisions.
• Communicate findings and build buy-in with key stakeholders through data visualizations.
• Deliver pre and post campaign analysis to guide the design and optimization of analytical models and personalized marketing campaigns.
• Design, develop, and deploy analytical models and advanced analytic solutions using statistical techniques and machine learning technologies.
• Work with engineers to implement end-to-end process from model development to testing, validation, deployment, and lifecycle support.
• Research and Development on novel data science and analytics tools and ML/AI technology.
• Background/ Experiences.
• 3+ years of Experience working with customer-centric data at big data-scale and applying machine learning, optimization and statistical methods to large datasets in various industries: financial services, telecom, retails, insurance, e-commerce, or related industries.
• Strong statistical knowledge, superior analytical abilities, and good knowledge of business intelligence solutions.
• Full stack experience in data collection, aggregation, analysis, visualization, productionisation, and monitoring of ML products - MLOps.
• Experience in being able to translate business needs into executable data science and analytics solutions.
• Proven track record in client engagement, relationship building, and project management is PLUS.
• Knowledge & Skills.
• Bachelor's degree or equivalent experience in quantitative field (Statistics, Mathematics, Computer Science, Engineering).
• Deep understanding of mathematics and statistical modeling, predictive modeling, and machine-learning algorithms with hands-on experience with Machine Learning frameworks.
• Excellent Proficiency in programing languages (SQL, R, Python) and Experience with business intelligence solutions (Tableau, PowerBI or Advanced Excel).
• Hand-on experience in data engineering, working with big data technology (Spark/Hadoop) and cloud platforms such as Azure, AWS, or GCP.
• Excellent verbal, written, and interpersonal communication skills (both Thai and English).

Experience:

4 years required

Skills:

Statistics, Python, SQL

Job type:

Full-time

• Collaborate with cross-functional teams to identify and prioritize business opportunities that can be addressed through data-driven solutions.
• Extract insights from large and complex datasets using a variety of tools and techniques.
• Develop and deploy predictive models and algorithms using statistical AI/machine learning, deep learning and generative AI modeling.
• Present findings and recommendations to stakeholders in a clear and compelling manner.
• Implement data-driven solutions in various environments, including integration with existing systems and processes.
• Stay up to date on the latest development in data science and bring new idea and technology to the team.
• Monitor the performance of deployed models together with algorithms and continuously improve model accuracy over time.
• Bachelor s or Master s degree in data science, Computer Science, Statistics, or related field.
• 4+ years of experience as a Data Scientist, with a focus on industries.
• Descriptive Analytics.
• Predictive & Prescriptive Analytics (Machine learning, Forecasting, Optimization, choosing the best path).
• Strong programming skills in Python and SQL along with libraries and frameworks for machine learning and statistical test, and their variation among databases.
• Experience with statistical and machine learning techniques.
• Proficiency in optimizing large, complicated SQL statements and code versioning tools such as Git, Mercurial, SVN or others.
• Experience with data visualization tools such as Looker Studio, Tableau, and Power BI.
• Strong problem-solving and communication skills.
• Experience with Cloud technology and databases (Cloud AWS, Azure, GCP).
• Extensive knowledge of Customer relationship management, Customer experience, Next best action, Credit scoring, and Insight & pattern discovery.
• Location: True Digital Park, Bangkok.

Skills:

Excel, Tableau

Job type:

Full-time

• ออกแบบโครงสร้าง Data Marketing สำหรับ RueJai App.
• กำหนด Data Fields ที่ต้องเก็บ เช่น.
• Behavioral Data (frequency - feature usage, segmentation, customer journey vs purchase).
• Transaction Data (purchase, repurchase).
• Sale performance (lead/ channel/ target/ success rate).
• Campaign Response Data.
• Marketing Data & Analytics.
• จัดเก็บ รวบรวม วิเคราะห์ บริหารข้อมูลการตลาด Transaction และ Presale.
• วิเคราะห์พฤติกรรมการ การใช้งานแอปพลิเคชั่น ซื้อสินค้าและบริการ และข้อมูลตามอายุบ้าน/ คอนโด.
• สร้าง Lead เพื่อการขาย.
• ร่วมวางแผนและกำหนดกลุ่มเป้าหมายสำหรับแคมเปญการตลาด.
• วิเคราะห์ประสิทธิภาพแคมเปญ เช่น Conversion Rate, Engagement Rate, Retention Rate.
• พัฒนาข้อมูลเพื่อสร้าง Dashboard สำหรับติดตาม OKR ของทีม.
• วิเคราะห์โอกาสสร้างรายได้จากบริการภายในแอป.
• Customer Insight & Segmentation.
• วิเคราะห์ Customer Journey ของลูกบ้านแต่ละ Segment (บ้านแนวราบ / คอนโด).
• สร้าง Segmentation Model เช่น.
• High Engagement Residents.
• Service Heavy Users.
• Passive Users.
• สร้าง Predictive Insight เพื่อหา Upsell / Cross-sell Opportunity.
• Campaign Performance & Personalization.
• จัดทำ Insight Report เพื่อสนับสนุนการตัดสินใจเชิงกลยุทธ์ของทีม Marketing.
• ออกแบบ Targeted Campaign ผ่าน Push Notification / In-app Message / Email.
• วิเคราะห์ Conversion Rate, CTR, Engagement Rate.
• Reporting.
• รายงานผลการดำเนินงานประจำเดือน/ไตรมาส.
• รายงาน OKR.
• VU / MAU/ Growth Rate/ Engagement Rate/ Retention Rate.
• Presales/Revenue.
• สรุป Insight ให้ผู้บริหารในเชิงกลยุทธ์ (ไม่ใช่แค่ตัวเลข).
• รายงาน Incentive ให้พนักงานขาย (Incentive per sale/ channel).
• Support Backend RueJai App.
• นำรายละเอียดข้อมูลการขาย แพ็กเกจต่างๆใส่ในระบบ backend app และจัดเก็บข้อมูลอย่างเหมาะสม.
• Skill ที่ควรมี.
• ชอบตัวเลข และการวิเคราะห์ข้อมูล ชอบตั้งคำถามจากข้อมูลที่เห็น.
• Data Analytics (Excel Advanced, Tableau, etc.).
• Strategic Thinking + Business Mindset.
• เป็น Data Analyst ที่เข้าใจ Marketing.
• ปริญญาตรีหรือสูงกว่า สาขาการตลาด บริหารธุรกิจ สถิติ วิทยาการข้อมูล หรือสาขาอื่นที่เกี่ยวข้อง.
• มีประสบการณ์ด้าน Data Analytics / Marketing Analytics / CRM อย่างน้อย 2-3 ปี.
• สมัครงาน โปรดระบุ Expected Salary.
• Co working Space
• ฟิตเนต
• ประกันสังคม / ประกันสุขภาพ / ประกันชีวิต / ประกันอุบัติเหตุ
• กองทุนสำรองเลี้ยงชีพ
• โบนัสประจำปี
• วันลาพักร้อน เมื่อผ่านทดลองงาน
• วันลา Workation
• วันหยุดพิเศษในเดือนเกิด
• ตรวจสุขภาพประจำปี
• เงินช่วยเหลือสมรส / เงินช่วยเหลือฌาปนกิจ.
• การเดินทาง
• BTS: สถานีพหลโยธิน24
• MRT: สถานีพหลโยธิน
• บริการเรียกรถผ่าน App MuvMi.
• ติดตามข่าวสารจาก SC ASSET ได้ที่
• http://insidesc.scasset.com/.

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 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).

Skills:

Accounting, Data Analysis

Job type:

Full-time

• ปริญญาตรีด้านวิทยาศาสตร์, บัญชี หรือ สาขาที่เกี่ยวข้อง.
• มีประสบการณ์ด้าน Accounting, Oil Accounting หรือ ธุรกิจโรงกลั่น / พลังงาน จะได้รับการพิจารณาเป็นพิเศษ.
• Presentation skill, Infographic, Data analysis, Ai & Digital skill.
• ดูแลและบันทึกข้อมูลการเคลื่อนไหวและสินค้าคงคลังน้ำมัน (Oil Movement & Inventory) ทั้งด้านปริมาณและคุณค่า.
• กระทบยอดข้อมูล Oil Accounting ระหว่างระบบปฏิบัติการและระบบบัญชี พร้อมวิเคราะห์ Gain/Loss.
• จัดทำรายงาน Oil Accounting และสนับสนุนการปิดบัญชีประจำเดือน.
• ประสานงานกับหน่วยงานที่เกี่ยวข้อง และสนับสนุนการตรวจสอบจาก Auditor.
• จัดทำรายงานวิเคราะห์ข้อมูล และ Presentation ตามที่ได้รับมอบหมาย.
• ประกันชีวิต / ประกันอุบัติเหตุ.
• ตรวจสุขภาพประจำปี วัคซีนตามฤดูกาล.
• ค่าล่วงเวลา (OT).
• เบี้ยเลี้ยง.
• สวัสดิการแบบยืดหยุ่น (Flexible Benefits).

Skills:

Accounting, English

Job type:

Full-time

• Bachelor s degree of Business Administration business, Financial, Economics, Accounting.
• Experience in Banking industry at least 1 years.
• Good command of English.
• FB: Krungsri Career (http://bit.ly/FacebookKrungsriCareer).
• LINE: Krungsri Career (http://bit.ly/LineKrungsriCareer).
• Talent Acquisition Department
• Bank of Ayudhya Public Company Limited
• 1222 Rama III Rd., Bangpongpang, Yannawa, Bangkok 10120..

Skills:

Assurance, Risk Management, Negotiation, English

Job type:

Full-time

• Work as a specialist team under IT, Data, and Analytic team (ITDA) for both IT Audit Support and IT Assurance/Advisory engagements.
• Facilitate use of Data Analytic & Visualization tools or other technology-based tools/techniques to support auditing.
• Manage multiple engagements at same time for various industries/sectors (e.g., Financial Services, Manufacturing, Automotive, Telecommunication, Life Science & Hospitality, Energy, Consumer Business, etc.).
• Provide both IT Audit support to Financial Audit team, and IT Assurance / Advisory to clients with main focus on Data Analytics and Visualization (e.g., IT General Control & Application Controls Review, IT Compliance Review, IT Governance & Security Audit, IT Audit for SOX/JSOX/ICFR, Third Party Assurance & Risk Management, Data Analytic for Auditing, etc.).
• Actively involve for advisory proposal development with fit-for-purpose approach & client service mindset, and also manage the engagements, esp. for quality and timeliness of our deliverables, including staff utilization.
• Coach the team (both DA and non-DA staff), demonstrate leadership roles and certain skillsets (e.g., project & resource management, problem-solving, negotiation, sales & services, communication & presentation, etc) to support our end-to-end processes of each engagement (e.g., offering the service, planning/execution/reporting, monitoring staff utilization, billing to clients).
• Perform any other tasks or assignments related to Data Analytics & Visualization and others IT Audit services.
• 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, Managers across our Firm are expected to:Develop diverse, high-performing people and teams through new and meaningful development opportunities.
• Collaborate effectively to build productive relationships and networks.
• Understand and lead the execution of key objectives and priorities for internal as well as external stakeholders.
• Align your team to key objectives as well as set clear priorities and direction.
• Make informed decisions that positively impact the sustainable financial performance and enhance the quality of outcomes.
• Influence stakeholders, teams, and individuals positively - leading by example and providing equal opportunities for our people to grow, develop and succeed.
• Lead with integrity and make a strong positive impact by energising others, valuing individual differences, recognising contributions, and inspiring self-belief.
• Deliver superior value and high-quality results to stakeholders while driving high performance from people across Deloitte.
• Apply their understanding of disruptive trends and competitor activity to recommend changes, in line with leading practices.
• RequirementsEducation background in Accounting, Finance, and/or other IT-related fields (e.g., MIS/AIS, Computer Engineering, Computer Science, etc).
• At least total 7-10 years experience (including some managerial experiences) in Analytic & Visualization.
• Experiences in IT Audit & Advisory or IT Audit / Risk Management / Compliance in other corporate companies (e.g., Financial Service, Telecommunication, Consumer Products) would be advantage.
• Hands-on experiences in using Data Analytic & Visualization tools (e.g., R, Python, Tableau, PowerBI, SQL, etc) is a must.
• Ability to analyze and break down complex items and interpret technical findings into business implication that can be communicated to Financial Audit team and Clients Management.
• Experiences in review over IT process/general controls and application controls, incl. IT security configurations for each IT component (e.g., Operating System, Database, Network) and professional certifications (e.g., CISA, CISSP, CRISC, ISO27001, other Data Analytic & Visualization tools related) would be a plus, but not mandatory.
• Basic understanding of Audit concept, IT regulatory requirements (e.g., BOT, SEC, OIC, PDPA), and IT-related controls & standards (e.g., ISO27001, COBIT, ITIL, NIST).
• Strong analytical, problem-solving, communication and presentation skills.
• Can do and professional "get it done" attitudes, and fast moving.
• Can work under pressure both independently and a part of team.
• Verbal and written communication skills in both Thai and English.
• Due to volume of applications, we regret only shortlisted candidates will be notified. Candidates will only be contacted by authorised Deloitte Recruiters via firm s business contact number or business email address. Requisition ID: 109864In 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:

Statistics, Excel, Python

Job type:

Full-time

• Bachelor or Master's degree in Statistics, Engineering, or MIS.
• Experience in Excel VBA, Python, Analytics and Modeling.
• Good in negotiation skill, presentation skill, interpersonal skill.
• Good logical thinking, integrity mindset, external focus and results oriented.

Skills:

Compliance, Legal, Research, English

Job type:

Full-time

• Support engagement with relevant government agencies (e.g., energy regulators, local planning and zoning authorities) in coordination with senior GR and project leads.
• Track and summarize relevant legislation, regulations, and industry standards (e.g., data privacy, energy use, cybersecurity, land use) that may impact data centre projects, and support internal advocacy positions on local policies affecting data centre development and operations (e.g., tax incentives, energy supply agreements).
• Ensure all project planning, documentation, and execution are compliant with nationa ...
• Stakeholder Coordination & Communications Support.
• Support day-to-day coordination with government counterparts, regulatory staff, and local stakeholders under the guidance of senior leads.
• Prepare briefing materials, talking points, and presentation decks for meetings with government bodies, highlighting project scope and key benefits.
• Help maintain stakeholder contact lists, meeting records, and follow-ups to ensure continuity and consistency of engagement.
• Research, Documentation & Reporting.
• Manage the submission and tracking of all required governmental documents, ensuring accuracy and timely delivery.
• Prepare project dashboards, status reports, and executive briefings for leadership and stakeholders.
• Document processes, lessons learned, and best practices to support knowledge-sharing across future projects.
• Identify and proactively manage regulatory and political risks that could cause project delays or cost overruns and flag issues early to senior stakeholders.
• Coordinate responses to government inquiries, audits, or compliance issues related to the data centre projects in coordination with Legal, GR, and project teams.
• Track action items and mitigation steps related to regulatory and government-facing issues.
• Strong project management and coordination skills, with experience supporting complex, multi-stakeholder projects; PMP/PRINCE2 certification is a plus but not required.
• 5+ years dedicated professional experience with policy advocacy.
• Good understanding of public policy and regulatory issues relevant to large technology, infrastructure, or data-driven businesses (e.g., data privacy, energy policy, land use, cybersecurity), with the ability to translate policy developments into project implications.
• Excellent Thai and English fluency, both written and spoken as this person would need to work with internal & external stakeholders and conduct research for policy developments in both languages.
• Strong research, analysis, and writing skills, with the ability to synthesize complex regulatory or policy information into clear briefings, dashboards, and executive-ready materials.
• Deep experience working across multiple functions, influencing, and collaborating with others to successfully implement programs and initiatives; history of successful cross-functional team and leadership collaboration.
• Preferred Qualifications.
• Working knowledge of data centre operations and infrastructure, or strong experience in adjacent infrastructure sectors (e.g., energy, telecoms, industrial projects), with the ability to learn technical concepts quickly.
• Outstanding judgment, persuasive and advocacy skills, creativity, and the ability to work in a dynamic, fast-paced, and often uncertain environment.
• Excellent stakeholder management and communication skills.
• Highly organized and detail-oriented, capable of managing multiple workstreams, documentation requirements, and deadlines simultaneously.
• Strong teamwork and communication skills: the individual will need to work with other departments including, but not limited to policy/legal/communications staff to assess needs, alignment and path for collaboration.
• Discipline, strong sense of responsibility and self-drive with a strong sense of ownership and accountability for assigned responsibilities.

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.

Job type:

Full-time

• Work with management to prioritize business strategies and information needs.
• Design analysis report to track and monitor performance and validate Accuracy of Data.
• Provide sales, marketing, product, and customer analysis toward marketing calendar / business situation / campaign performance in various business measurements combining with consumers research for supporting business strategy.
• Understand, interpret data and provide business insight in order to support management to develop strategy / plan to support new business opportunity.
• Identifies data patterns & trends, and provides insights to enhance business decision making capability in business planning, process improvement, solution assessment etc.
• Recommends actions for future developments & strategic business opportunities, as well as enhancements to operational policies.
• Translate data into consumer or customer behavioral insights to drive targeting and segmentation strategies, and communicate clearly and effectively to business partners and senior leaders all findings.
• Continuously improve processes and strategies by exploring and evaluating new data sources, tools, and capabilities.
• Leverage analytics and data science teams for actionable insights, algorithms, test designs and model validation.
• Present insights to executive leaders/ business partners to drive strategic improvement and support key business decisions.
• Educate cross-functional parties and build awareness on how to interpret the data and analytics to drive decision making that will move the business forward.
• At least 7 years working experience in related field (having working experience in retail or e-commerce is a plus).
• Basic knowledge of BI/ App analytics platforms such as Google Analytics, Firebase, AppsFlyer, Adobe Marketing Cloud, Tableau, Power BI, Data Studio, etc.
• SQL proficiency or equivalent.
• Good knowledge of computer literacy especially MS Excel and PowerPoint.
• Excellent command of English and presentation skill, Analytical and logical thinking is a must.

Job type:

Full-time

• Conceptualizing and executing trade promotions and rolling out impactful in-store campaigns in collaboration with marketing and sales teams.
• Developing and implementing trade marketing strategies to increase brand visibility and drive sales.
• Collaborating with sales teams to identify market trends and opportunities for product promotion.
• Creating and executing trade marketing campaigns and promotions to support product launches and achieve sales targets.
• Monitoring and analyzing sales data to evaluate the effectiveness of trade marketing initiatives.
• Building and maintaining strong relationships with key trade partners and distributors.
• Coordinating with cross-functional teams, including marketing, sales, and supply chain, to ensure seamless execution of trade marketing activities.
• Analyzing and recommending brands/channel combinations to maximize sell-out and profitability.
• Bachelor s degree in marketing, business administration, or a related field.
• Previous experience in trade marketing or sales, preferably in the consumer goods industry.
• Strong analytical skills and ability to interpret market data and trends.
• Proficiency in Microsoft Excel.