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Experience:

3 years required

Skills:

SQL, Project Management, Excel, English

Job type:

Full-time

• Drive strategic initiatives at regional level by working closely with local markets and various business functions to deliver business impact in growth, profitability, and efficiency.
• Work closely with local markets to identify opportunities and gaps, review problem statements, and generate useful solutions on regional strategic initiatives.
• Project management responsibilities including supporting teams in driving initiatives on a regional level.
• Apply data analytical skills and analyze complex datasets using SQL, Excel, and uncover key trends and insights to identify listings and violations within the Shopee content ecosystem mitigate risk for the platform and ensure good user experience.
• Design and maintain dashboards, trackers, and reports to monitor KPIs and measure progress toward strategic goals.
• Act as a data-driven consultant, advising teams on strategic direction and sustainable operational improvements.
• Work with product team to support the development of features and models to drive automation and more effective content governance.
• Design and review operational processes to drive agent productivity and quality improvements of content moderation.
• Manage the rollout and adoption of initiatives and features, including writing requests, coordinating with regional stakeholders, developing training material, reporting and tracking of impact.
• Requirements: Bachelor s degree or above, preferably in an analytical field.
• Minimum 1-3 years of working experience, experience in eCommerce or a fast-paced environment is a plus.
• Proficiency in SQL and Excel (mandatory).
• Passion for utilising data to drive informed decision-making and improve processes.
• Strong problem-solving and critical thinking skills with the ability to frame and structure ambiguous challenges.
• Ability to translate data into strategic insights and develop frameworks for long-term solutions.
• Interest in designing operational processes and systems.
• Strong communication skills in English and have the ability to influence cross-functional stakeholders and prepare clear presentation to management.
• Self-motivated, accountable, and comfortable working in a fast-paced environment with a strong sense of ownership.

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:

MySQL, SQL, System Testing

Job type:

Full-time

• Develop and maintain applications.
• Work with databases such as PostgreSQL, MySQL, or SQL Server to develop and optimize system functionality.
• Assist in analyzing requirements and implementing system features according to specifications.
• Support system testing, debugging, and troubleshooting of application issues.
• Collaborate with team members to deliver projects according to project timelines and requirements.
• Manage code and version control using Source Control systems (e.g., Git, SVN).
• Participate in the Software Development Life Cycle (SDLC) including development, deployment, and system support.
• Minimum 2 years of experience in System Analysis and Design.
• Detail-oriented in producing technical documentation according to standardized formats.
• Minimum 3 years of experience in C# programming.
• Experience in developing applications using C#, jQuery, HTML5, and CSS.
• Experience working with at least one database system such as PostgreSQL, MySQL or SQL Server.
• Ability to design efficient program structures and algorithms to support system scalability, large data volumes, and increasing numbers of users.
• Strong understanding of Object-Oriented Programming (OOP) concepts and their practical application.
• Strong analytical and problem-solving skills, with the ability to identify root causes and resolve issues effectively.
• Experience with Source Control systems (e.g., Git, SVN, or similar tools).
• Experience participating in the full Software Development Life Cycle (SDLC), including design, development, deployment, and post-implementation support and troubleshooting.

Skills:

SQL, Python, Excel, English

Job type:

Full-time

• Conduct analysis of internal and external data, utilizing SQL, Python, and Excel.
• Translate complex data analyses into accessible, business-focused reports to deliver actionable insights and recommendations to senior management.
• Develop, maintain, and automate dashboards, reports, and visualizations to support strategic decision-making.
• Serve as a consultant to cross-functional teams, collaborating to identify business challenges and enhance analytical capabilities.
• Review and optimize data systems and processes to ensure data integrity and operational efficiency.
• Requirements: Bachelor's or Master's degree in a relevant field.
• Advanced proficiency in SQL and Excel (Python is a plus).
• Fresh Graduate is preferred.
• Fluency in English.
• Submitting your resume today will ensure you're among the first to be notified when a suitable opportunity arises.

Experience:

3 years required

Skills:

Express, Excel, SQL

Job type:

Full-time

• Manpower Forecasting: Develop and maintain daily/weekly manpower plans based on volume projections and historical data.
• Resource Optimization: Monitor workload and manpower utilization to ensure peak efficiency across shifts.
• Stakeholder Coordination: Act as the primary point of contact for BPO staff and frontline agents, managing vendor performance and onboarding.
• Bottleneck Analysis: Conduct root cause analysis when operational performance fluctuates due to resource.
• shortages or late arrivals.Equipment Planning: Assist in the planning and tracking of pallets, MHE (Material Handling Equipment), and.
• warehouse consumables.Continuous Improvement: Lead improvement projects to enhance workforce efficiency and subcontractor fulfillment (FFM) rates.
• Requirements:Education: Bachelor s degree in Business Administration, Economics, Logistics Management, or a related field.
• Experience: 0-3 years of experience in workforce management, resource planning, or warehouse operations;.
• fresh graduates with strong analytical backgrounds are encouraged to apply.Analytical Skills: Strong analytical and problem-solving skills with the ability to interpret data and develop.
• actionable insights.Technical Proficiency: Advanced skills in Google Workspace (Sheets) and Excel; experience with SQL or.
• relational databases is highly preferred.Adaptability: Ability to thrive in a fast-paced, dynamic environment with tight deadlines and shifting priorities.
• Leadership: Self-driven with strong verbal communication skills to facilitate cross-functional discussions.
• Flexibility: Ability to work at night and weekends sometimes, to support 24/7 operations.

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).

Experience:

2 years required

Skills:

SQL, English

Job type:

Full-time

• Manage marketing campaign initiatives including mechanics planning, budget optimization, user segment breakdown, testing and performance analysis.
• Provide details plans for marketing campaigns or testing initiatives, aligning them with the overall business objectives.
• Regularly review and analyze key commercial/marketing metrics to provide insights that guide decision-making for campaign improvement.
• Conduct data-driven analysis to serve current business direction for ShopeePay, SeaMoney and related businesses.
• Design analysis framework, extract relevant data, run in-depth analysis, and deliver findings using suitable visualization and reporting tools to communicate and collaborate with related stakeholders.
• Provide actionable insights and recommendations that will be used to support or devise new marketing strategies.
• Support other special projects as requested.
• Requirements: Bachelor or Master s degree in Marketing, Business, Economics, Data Analytics, or related field of study.
• At least 1 - 2 years of work experiences in areas of marketing analytics, business analytics, data analytics, strategy consulting, e-commerce or tech industries.
• Strong technical skills with experience in SQL is a must.
• Intermediate MS Excel and Google Sheet skills, capable of utilizing different formulas and features to drive desired result.
• Strong analytical and logical reasoning skills.
• Excellent communication skills in both written and verbal format in Thai and English.
• Reliable and good team player who enjoys a fast-paced and iterative environment.

Experience:

5 years required

Skills:

Excel, SQL

Job type:

Full-time

• Own short-term and long-term workforce planning for FBS operations, including peak planning (e.g. campaign, mega sale, seasonal spikes).
• Translate demand forecasts and volume projections into manpower requirements across warehouses and fulfillment nodes.
• Balance service level targets with cost efficiency through effective workforce sizing and deployment.
• Monitor workforce productivity, utilization, and efficiency metrics; identify gaps and drive improvement initiatives.
• Develop and track key WFM KPIs such as staffing accuracy, shrinkage, overtime, productivity, and attendance.
• Drive continuous improvement projects to optimize labor cost and operational performance.
• Requirements: Bachelor s degree in Engineering, Operations Management, Business, Analytics, or a related field.
• 5-8+ years of experience in Workforce Management, Capacity Planning, Operations Planning, or Supply Chain (logistics, e-commerce, or fulfillment preferred).
• Strong analytical skills with experience using data to drive decisions (Excel, SQL, BI tools preferred).
• Proven experience managing workforce planning in a fast-paced, high-volume operational environment.
• Strong stakeholder management and communication skills.
• Ability to work under pressure and manage ambiguity in a rapidly scaling business.
• Experience with large-scale operations or multi-site environments is a strong plus.

Experience:

1 year required

Skills:

SQL, Statistics, Python, English

Job type:

Full-time

• Gather requirements and refine scope for data requests/projects from business users and management.
• Create comprehensive SQL queries to generate and conduct reports/dashboards for ad hoc requests from different business units.
• Develop and maintain ETLs for automatic reports and dashboards on the in-house data platform.
• Collaborate with relevant local and regional teams on data acquisition, alignment of business logic/definitions, and functional updates.
• Analyze quantitative data using statistical techniques and provide actionable insights to inform decisions/strategies.
• Work closely with business users in rolling out consumer campaigns with data and analysis support.
• Requirements:Bachelor's/Master's degree, preferably in Analytics, Statistics, Computer Science or Engineering.
• At least 1-2 years of experience in an Analytics, Business Intelligence or Data Engineer role with large, complex, high velocity data is preferred.
• Strong foundation in data query/manipulation using SQL and data visualization.
• Capable of making impactful contributions both as an individual and as a member of a team.
• Able to switch hats between data/technical speak and business/layperson speak.
• Strong analytical and problem-solving skills - possesses a relentless need for investigation and data exploration.
• Results-oriented with a keen eye for detail and ability to solve problems creatively and quickly.
• It s great if you have:Fluency in English.
• Experience in e-commerce or digital payment platforms.
• A global outlook and exposure to work with people from different cultures.
• Python/JAVA or similar programming background.

Experience:

3 years required

Skills:

Industry trends, SQL, NoSQL, English

Job type:

Full-time

• Design and work on all aspects of bringing ML models into production, develop CI/CD pipelines by collaborating with other disciplines such as data engineering, application development, cloud infrastructure, and security to implement AI solutions in production.
• Work collaboratively with data scientists along the machine learning lifecycle from data pipeline, data preparation, model deployment, and model monitoring.
• Understand and assess AI/ML industry trends to leverage technologies, continuously i ...
• Provide architectural and technical leadership to drive AI/ML capabilities.
• Initiate innovation and development projects to continuously improve the overall efficiency of the team in the engineering aspect.
• Professional Knowledge & Experiences.
• Degree in computer science or related fields, with concentration in Machine Learning/AI engineering.
• At least 3 years of experience in implementing and deploying Machine Learning solutions (using various models, such as Linear/Logistic Regression, Support Vector Machines, Neural Networks, etc.). Expertise with Data Science and experience with manipulating/transforming data, model selection, model training, and deployment at scale.
• Knowledge and experience in database technologies, such as SQL, NoSQL, and demonstrate knowledge of databases (Google BigQuery preferred), Data ETL framework (Airflow), ML libraries (scikit-learn, XG Boost, PyTorch, etc.), ML Frameworks (Kubeflow, MLFlow, etc.).
• Knowledge and experience in Kubernetes technology. Be able to develop CI/CD pipeline, deploy workloads, configure and monitor jobs on kubernetes clusters.
• Significant proficiency in Python. Experience working with GCP is preferrable.
• Ability to work in cross functional teams, have team-work mindset, self-motivation.
• Excellent written and verbal communication skills in English.
• Additional Desirable Qualification.
• Solid grounding in statistics, probability theory, data modelling, machine learning algorithms and software development techniques and languages used to implement analytics solutions.
• Extensive background in statistical analysis and modeling (distributions, hypothesis testing, probability theory, etc.).
• CORE Competencies.

Skills:

SQL

Job type:

Full-time

• มีทักษะและประสบการณ์ด้านการออกแบบ/พัฒนาระบบ/เขียนโปรแกรม Web/Mobile Application ไม่น้อยกว่า 1 ปี.
• สามารถทำงานบริหารและจัดการงานโครงการพัฒนาระบบงาน IT (Application Implementation Project) หรือสนับสนุนการใช้งานระบบ (Application Support).
• หากมีประสบการณ์ด้านต่อไปนี้ จะได้รับการพิจารณาเป็นพิเศษ.
• Programming Language เช่น MS SQL, MS SharePoint,.NET/ Web Programming / Mobile App programming.
• Aplication ด้าน Marketing & Retail Technology เช่น POS, CRM, Loyalty, Website, Mobile App, LineOA, MARTECH,AI/ML for Marketing & Retail business,CDP.
• ปริญญาตรีหรือปริญญาโทในสาขาวิศวกรรมคอมพิวเตอร์, วิทยาศาสตร์คอมพิวเตอร์, เทคโนโลยีสารสนเทศ หรือสาขาอื่นที่เกี่ยวข้อง.
• เหตุผลดีๆ ที่คุณมองหาจากเรา.
• 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.

Skills:

SQL, ETL, Project Management, English

Job type:

Full-time

• Consolidate requirements from various business functions and create common business data models within data warehouse for each business function to serve business needs.
• Working with Data Governance, Data Management, and Data Engineering team to setup data warehouse model and working with business users to develop data marts.
• Assessing the effectiveness and accuracy of data sources and data gathering techniques.
• Applying strong expertise in business intelligence skills set to develop customized and innovative solutions.
• Developing best practice for analytic and business intelligence solutions.
• Working with the IT function and project leaders in providing technical guidance regarding data architecture, data models and data management and translate business needs into requirements for analytics and business intelligence solutions.
• Always stay on latest data and BI technologies.
• Designs and develops BI relevant solutions, data model, data mart, data warehouse, report, and dashboard.
• Professional Knowledge & Experiences.
• A bachelor s degree in computer science, engineering or IT related field.
• Proficient knowledge of SQL and Relational Database, knowledge on google cloud is a plus.
• Experience in any ETL, data mart, data warehouse, data modeling design.
• Experience in any BI visualize tools, PowerBI or TIBCO Spotfire is a plus.
• Experience working with Product Owners or Business users to understand business needs, define scope and translating requirements into technical specifications.
• Strong problem-solving skills.
• A drive to learn.
• A good command of the English language.
• Preferably experience and skills in project management.
• Preferably a knowledge of or a background in the oil & gas industry.
• Additional Desirable Qualification.
• CORE Competencies.

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).

Experience:

5 years required

Skills:

Statistics, ETL, SQL

Job type:

Full-time

• Providing technical guidance related to data architecture, data models and meta data management to IT function and imitative leaders.
• Define and implement data flows through/ and around digital products.
• Participate in data modeling and testing to ensure smooth operations.
• Extract relevant data to solve analytical problems, and ensure development teams have the required data.
• Interact with the initiative leaders to understand all data requirements used for business insights development, and translates into data structures and data model requirements to IT function.
• Develop set processes for data profiling, data quality, data transformation, data mining and data protection.
• Work closely with database teams on topics related to data requirements, cleanliness, accuracy, and etc.,.
• Track analytics impact on business, and provide recommendation for better result.
• Monitor market watch, and provide recommendation to improve efficiency of current projects.
• Professional Knowledge & Experiences.
• Bachelor s Degree in computer science, statistics, or related technical discipline.
• 5+ years experience with advanced data management system and master data management.
• Experience in developing applications in high volume data staging/ ETL environments and proficient in advanced SQL skills, Python programming and familiar with pandas scikit-learn, matplotlib, numpy, dash library.
• Experience in using Data Analytics products such as BigQuery, Apache Kafka, Apache Airflow, Cloud Storage, etc.
• Clear understanding in different data domains of operations, customers, etc.
• Ability to quickly learn new technologies.
• Additional Desirable Qualification.
• CORE Competencies.

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:

Oracle, SQL, NoSQL

Job type:

Full-time

• Lead the design and architecture of core banking systems (e.g. Thought Machine, FIS Profile, Systematics, IBS, or other FIS platforms)..
• Ensure alignment with business requirements, regulatory standards, and enterprise architecture principles..
• Technical Leadership.
• Define and drive system modernization, cloud migration, and API driven banking solutions..
• Provide architectural guidance on scalability, security, performance, and resiliency.
• Integration & Customization.
• Design and implement integration strategies between core banking platforms and digital banking, payment systems, and regulatory/compliance solutions..
• Address product limitations and customization requirements, especially within Thought Machine environments..
• Stakeholder Engagement.
• Work closely with business leaders, product owners, developers, and vendors to ensure successful solution delivery..
• Act as a trusted advisor on core banking architecture decisions.
• Performance & Security.
• Ensure systems meet high availability, performance, security, and regulatory compliance standards..
• Innovation & Emerging Technology.
• Stay up to date with AI, GenAI, cloud computing, and digital banking trends..
• Proactively recommend innovative solutions to enhance banking architecture and customer experience.
• Project Delivery.
• Lead end to end project implementation, from planning and design through go live and post implementation support..
• Ensure delivery within scope, timeline, and budget..
• 8+ years of direct experience in core banking architecture and implementation..
• Strong knowledge of banking processes, digital transformation, and regulatory frameworks..
• Hands on experience implementing and architecting solutions on Thought Machine, including understanding its limitations..
• Proven experience with cloud platforms (AWS, Azure, or GCP), microservices architecture, and API integrations..
• Strong background in databases (Oracle, SQL, NoSQL) and DevOps practices..
• Experience working in Agile/Scrum environments and leading cross functional teams..
• Excellent communication, presentation, and stakeholder management skills..
• Ability to work independently and manage multiple complex initiatives.

Experience:

1 year required

Skills:

Selenium, SQL, Scrum, Agile Development, Thai, English

Job type:

Full-time

• Design and write test cases, scenarios, and plans from real-world use perspectives..
• Perform manual and automated tests to ensure flawless user experiences..
• Identify, verify, and report bugs, UX issues, and logic inconsistencies..
• Evaluate the usability and logical flow of our web platforms and applications..
• Validate that system feedback (alerts, warnings, and messages) makes sense to real users..
• Work closely with Developers, Product Owners, and Designers to elevate user experience and security quality..
• Build and maintain automation test scripts using tools like Playwright, Cypress, Jest, Selenium, or Postman..
• Execute regression, smoke, API, and UI tests to ensure product stability..
• Contribute ideas to enhance QA processes and methodologies..
• Participate in Agile/Scrum sprints and provide testing insights and reports to the team..
• 1-2 years of experience as a QA Engineer.
• Solid understanding of Software Development Life Cycle (SDLC) and Software Testing Life Cycle (STLC).
• Hands-on experience with testing tools such as.
• Postman / Swagger / Insomnia for API Testing.
• Selenium / Cypress / Playwright / Jest / Mocha for Automation Testing.
• Basic SQL knowledge for data verification.
• Familiarity with CI/CD pipelines is a plus.
• Detail-oriented, analytical, and able to communicate effectively.
• Understanding of REST API and WebSocket.
• Experience working in Agile/Scrum teams is an advantage.
• Nice to Have.
• Experience using Git / GitHub Actions for automated testing.
• Participation in designing or improving QA processes or guidelines.
• Curiosity about cybersecurity and system reliability..
• Where You Will Work?.
• We are based at The Rice (BTS Saphan Kwai). This is a hybrid role you only need to come to the office on Tuesdays and Wednesdays.

Experience:

5 years required

Skills:

Sales, Financial Analysis, SQL

Job type:

Full-time

• Bachelor's degree or equivalent practical experience.
• 5 years of experience in media analytics, advertising sales, digital media and marketing, consulting, or financial analysis.
• Knowledge of SQL, databases, and automation techniques (e.g., dashboards, automating custom reports, materializing tables).
• Understanding of how to generate insights that are customer-centric and engaging.
• Ability to build executive engagement, influence them, and manage cross-functional partners.
• Ability to grow in a sales team, using the insights to drive ads and business growth.
• Ability to leverage data infrastructure and AI to uncover opportunities.
• Ability to connect with audience, craft engaging narratives along with excellent presentation skills.
• Google's Large Customer Sales (LCS) teams are strategic partners and industry thought leaders to the world's leading brands and agencies. We continuously challenge how customers think about their business and how Google can support growth. We focus on helping these players navigate profound industry shifts and drive outsized business performance by competitively selling Google's full suite of advertising solutions across Search, YouTube, Measurement, and more. As a member of our LCS team, you'll have the unique opportunity to sell at the forefront of technology, collaborating with executives, influencing market-shaping strategies, and delivering tangible results that significantly impact major global businesses and drive the growth of Google.
• As an Associate Strategy and Insights Manager, you are the driving channel behind our industry intelligence. You are a master storyteller, a trusted industry advisor, and a commercially-minded strategist. In this role, you will be responsible for developing and owning thought leadership, develop new 3P research, and present industry-shifting perspectives at major Google and external industry events. You act as a trusted advisor to C-suite clients, focusing on big industry shifts and strategic growth advisory. You engage directly with sales leaders and Google advertisers to prove business opportunities, win larger budgets, and identify key consumer, category, and seasonal opportunities. You enhance our competitive intelligence with new data sources and deliver to strengthen our competitive advantage, analyze consumer behavior and managing data partnerships to strengthen industry expertise.
• Own the industry thought leadership plan, develop new third-party (3P) research, and present industry-shifting perspectives at Google and external industry events.
• Act as a trusted advisor to C-suite clients by launching and delivering a formal "Industry Advisory" program, focusing on big industry shifts and strategic growth advisory.
• Engage directly with sales leaders and Google advertisers to prove business growth opportunities, win budgets, and identify key consumer category, and opportunities.
• Enhance our market intelligence with new data sources and deliver to strengthen our business advantage.
• Identify and analyze macro opportunities, including new consumer behaviors, and evolving shopping journeys.
• Google is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. See also Google's EEO Policy and EEO is the Law. If you have a disability or special need that requires accommodation, please let us know by completing our Accommodations for Applicants form.

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.

Experience:

2 years required

Skills:

SQL, Python, Automation, English

Job type:

Full-time

• Act as project owner to prepare, process, and validate data for business needs.
• Collaborate with stakeholders on building data pipeline and gather into internal tables using SQL, Inhouse-tools and Python.
• Develop reports, dashboards, and automation solutions using SPARK, SQL, Python, Excel, and in-house tools as business requirements.
• Ensure data integrity by sanitizing, validating, and aligning numbers with accurate logic.
• Proactively seek data insights and make data-driven recommendations to the business team.
• Requirements: Master's or bachelor's degree in quantitative or relevant fields.
• 2-5 years of experience in Data Analytics, Business Intelligence, or Data Engineering or similar roles in fast-growing industries.
• Experience in project & stakeholder management.
• Strong SQL skills for data querying and Excel proficiency (Python is a plus).
• Strong English communication skills, both verbal and written.
• Detail-oriented with a passion for building from the ground up.