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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:

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:

5 years required

Skills:

Power BI, SQL, Analytical Thinking

Job type:

Full-time

• Integrity: Be honest and ethical | Do what is right.
• Excellence: Hold ourselves to high standards | Be thoughtful, thorough, and disciplined.
• Care: Be respectful and inclusive | Look after each other | Contribute to the well-being of our communities and the environment.
• Courage: Take initiative and make a difference | Think boldly and act with conviction | Take personal ownership.
• Resilience: Be determined and persevere | Be purposeful and steadfast in our principles.
• Develop data products by implementing robust data models and transforming raw data into trusted, reusable datasets using DBT and Snowflake.
• Design and implement scalable logical and physical data models following enterprise standards.
• Monitor and optimize data deployment and production workflows to ensure data quality, integrity, consistency, and reliable performance across multiple sources.
• Support data visualization dashboards using Power BI, ensuring accuracy for stakeholders.
• Analyze business data requirements and translate them into technical specifications and solutions.
• Maintain clear documentation for data pipelines, processes, and workflows.
• Skills and Qualifications.
• Bachelor s degree or higher in Computer Engineering, Computer Science, IT, or related fields.
• 0-5 years of experience as a Data Engineer or related roles.
• Strong SQL skills and experience with data modeling (e.g., star schema).
• Hands-on experience or familiarity with Snowflake, DBT, Azure, ADF, and GitHub workflows.
• Strong analytical thinking, problem solving ability, quick learning capability, and a growth mindset.
• Excellent written and verbal communication skills and ability to work collaboratively in team environments.
• Fluent in English (TOEIC 750+, TOEFL iBT 98+, or IELTS 6.5+).
• Snowflake certifications (SnowPro Core, SnowPro Advanced - Data Engineer).
• DBT certifications (Analytics Engineering, DBT Architect).
• Azure certifications (AZ 900, DP 900).
• Experience with data warehouse technologies (e.g., Snowflake, HANA).
• Experience with programming languages for data manipulation (e.g., Python).
• Experience with version control and CI/CD (e.g., Git, GitHub, GitHub Workflows).
• Experience with cloud platforms (AWS, Azure, Google Cloud).
• Experience or knowledge of Agile methodologies.
• Experience with Qlik Replicate, NiFi, Fivetran).
• Experience with programming skills in languages such as Python, or Java.
• English language (TOEIC, TOEFL, IELTS) - Score with over 2 years is valid to upload.
• Education Transcript, Certificates - both Bachelor s and Master s Degree (if any).
• Military Documents ( สด.8 หรือ สด. 43 ) - for male only.
• Your benefits.
• An ExxonMobil career is one designed to last. Our commitment to you runs deep: our employees grow personally and professionally, with benefits built on our core categories of health, security, finance, and life.
• Competitive benefits and compensation.
• Premium medical health plan & life insuranceFull coverage OPD (for actual reasonable amount necessary for treatment).
• Limit out-of- pocket for IPD.
• Dental fee coverage.
• Annual medical check-up.
• Provident fund contribution rate 5% to 15% of salary.
• Contribution 5% of salary to employee savings plan.
• Housing loan subsidy.
• Workplace flexibility.
• 10 to 20 days annual vacation.
• 5 days personal business leave Special occasion leaves e.g. Birthday, Wedding or Graduation.
• Skills training & development program.
• Tuition assistance.
• Eligibility and details may vary according to work location, service year and conditions in each program/plan.
• Please note benefits may be changed from time to time without notice, subject to the direction and discretion of the Company and/or applicable law.
• Application Process.
• Please be informed that only shortlisted candidates will be notified, and you can find out more about our hiring process here.
• For more information about business solicitation and recruiting scams, please click here.
• We thank you for your interest in ExxonMobil. .
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• Equal Opportunity Employer.
• ExxonMobil is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, age, sexual orientation, gender identity, national origin, citizenship status, protected veteran status, genetic information, or physical or mental disability.
• Corporate Separateness Statement.
• Nothing herein is intended to override the corporate separateness of local entities. Working relationships discussed herein do not necessarily represent a reporting connection, but may reflect a functional guidance, stewardship, or service relationship.
• Exxon Mobil Corporation has numerous affiliates, many with names that include ExxonMobil, Exxon, Esso and Mobil. For convenience and simplicity, those terms and terms like corporation, company, our, we and its are sometimes used as abbreviated references to specific affiliates or affiliate groups. Abbreviated references describing global or regional operational organizations and global or regional business lines are also sometimes used for convenience and simplicity. Similarly, ExxonMobil has business relationships with thousands of customers, suppliers, governments, and others. For convenience and simplicity, words like venture, joint venture, partnership, co-venturer, and partner are used to indicate business relationships involving common activities and interests, and those words may not indicate precise legal relationships.
• Job Segment: Sustainability, Engineer, Developer, Data Warehouse, Computer Science, Energy, Engineering, Technology.

Experience:

3 years required

Skills:

Excel, SQL, Tableau

Job type:

Full-time

• Work to support management on business strategy and planning for driver supply.
• Define, implement, and execute strategy to improve business growth, efficiency, and P&L.
• Analyze short to medium term issues impacting supply growth in the food delivery business. This includes driver segmentation, conversion funnel optimization, churn analysis, market scans and experimentation.
• Use strong interpersonal skills drive and coordinate with other departments to plan and execute cross functional initiatives.
• Forecast cost and other key initiatives for weekly, monthly and quarterly planning cycles.
• Drive innovation via continuous iteration of segmentation methods, identification of high potential opportunities to A/B test, collaboration with product team for improvement opportunities.
• Manage day to day business by being able to anticipate potential roadblocks and issues, while also being able to quickly solve problem.
• Build presentation to influence senior stakeholders and enable data driven decision making.
• Requirements: A minimum of 2-3 years of relevant work experience in technology firms, financial services or top tier management consulting.
• Confident in processing and analyzing complex data sets using Excel.
• An analytical mindset and strong business acumen with experience using AppAnnie, SQL, Tableau, and Google Suites.
• Advanced statistical modeling (e.g. Machine Learning) skillset is a plus.
• A start-up attitude - willing to work hard to get things done.
• Pure hustle and passion for building a new consumer business in a competitive market.
• A team player who doesn't mind rolling up your sleeves to do the day-to-day work.

Experience:

3 years required

Skills:

Express, Data Analysis, SQL

Job type:

Full-time

• Lead SPX retail growth strategy to drive seller volume growth, coverage expansion, and overall network performance.
• Identify growth and optimization opportunities across regions, seller segments, and service points using data-driven analysis.
• Analyze performance gaps across volume, utilization, cost, and service levels, and define targeted improvement actions.
• Design and execute initiatives to increase seller adoption and usage, including service point optimization, product/application improvements, and marketing levers.
• Act as PMO for retail growth and optimization initiatives, coordinating cross-functional teams and ensuring disciplined execution.
• Track and report key performance metrics, monitor initiative outcomes, and continuously refine strategy based on results.
• Requirements: 3-5 years of experience in strategy, business operations, consulting, or expansion roles (logistics, e-commerce, or platform businesses preferred).
• Strong analytical skills with hands-on experience in data analysis (SQL skill is preferred).
• Proven ability to drive projects from strategy formulation to on-the-ground execution.
• Structured problem-solving skills with a bias toward action.
• Exposure to cross-functional program management in fast-paced environments.

Skills:

SQL, Python, Javascript

Job type:

Full-time

• Bachelor's degree or equivalent practical experience.
• 10 years of experience with cloud-native architecture in a customer-facing or support role, with application development and integration.
• Experience in architecting solutions that integrate AI models using agents with enterprise data sources using patterns like RAG, Text-to-SQL, and semantic search.
• Experience with search systems including retrieval, ranking, and search quality tuning.
• Experience with presenting to technical stakeholders and executive leaders.
• Experience with coding in Python, JavaScript or TypeScript, Go, or Java, to demo, prototype, or workshop integration patterns with customers.
• Experience in developing agents using frameworks such as LangGraph, Semantic Kernel, or the Google AI Agent Development Kit (ADK).
• Experience with functional evaluation metrics used to assess Model Quality and Agent Quality.
• Experience with iPaaS, API Gateways, or Enterprise Service Buses in a cloud environment.
• Knowledge of integration patterns using OpenAPI and Model Context Protocol (MCP) to connect AI agents with business systems and Application Programming Interface (API) Gateways.
• Knowledge of Application Integration Governance and Security, including OAuth2 flows and short-lived credential management.
• Knowledge of observability constructs including distributed tracing, logging, and audit logging for AI applications.
• The Google Cloud Platform team helps customers transform and build what's next for their business all with technology built in the cloud. Our products are developed for security, reliability and scalability, running the full stack from infrastructure to applications to devices and hardware. Our teams are dedicated to helping our customers developers, small and large businesses, educational institutions and government agencies see the benefits of our technology come to life. As part of an entrepreneurial team in this rapidly growing business, you will play a key role in understanding the needs of our customers and help shape the future of businesses of all sizes use technology to connect with customers, employees and partners.
• As a Practice Customer Engineer (CE) with a specialty in Gemini Enterprise, you will partner with technical sales teams to differentiate Google Cloud to our customers. You will serve as a technical expert responsible for accelerating technical wins and adoption of complex, specialized workloads. You will leverage your deep expertise in our most strategic product areas in partnership with Platform CEs, writing code, developing prototypes, proofs-of-concept, and demos to promote new specialized solutions to customers. You will solve AI-centered customer issues and provide a critical feedback loop to influence product development. You will have excellent organizational, communication, and presentation skills, engaging with customers to understand their business and technical requirements, and persuasively present practical and useful solutions on Google Cloud. You will blend sales skills, market knowledge, and technical engagement to prove the value of the Google Cloud portfolio.Google Cloud accelerates every organization s ability to digitally transform its business and industry. We deliver enterprise-grade solutions that leverage Google s cutting-edge technology, and tools that help developers build more sustainably. Customers in more than 200 countries and territories turn to Google Cloud as their trusted partner to enable growth and solve their most critical business problems.
• Drive the technical win for workloads within Gemini Enterprise to ensure adoption, supporting the business cycle from technical evaluation through customer ramp. Recommend integration strategies, enterprise architectures, platforms, and application infrastructure required to successfully implement a complete solution on Google Cloud.
• Combine business strategies with development and prototyping to provide functional, customer-tailored solutions that secure buy-in from customer domain experts.
• Provide technical consultation to customers on enterprise AI integration patterns, acting as a technical advisor and building customer relationships.
• Work with Google Cloud products to demonstrate and prototype integrations in customer and partner environments. Work within Product and Engineering management systems to document, prioritize, and drive resolution of customer feature requests and issues.
• Travel to customer sites, conferences, and other related events as required, acting as a public advocate for Google Cloud.
• 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:

SQL, English

Job type:

Full-time

• Manage end-to-end marketing initiatives such as CRM to drive new user acquisition and retention, including mechanics planning, budget optimization, user segment breakdown, A/B testing and performance analysis.
• Provide details plans for marketing campaigns or A/B testings, aligning them with the overall business objectives.
• Regularly review and analyze key marketing metrics to provide insights that guide decision-making for campaign improvement.
• Conduct data-driven analysis to provide actionable insights and recommendations for current business direction on ShopeePay, Digital Products and Credit 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.
• Support other special projects as requested.
• Requirements 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.
• Strong sense of ownership over their work and long-term goals; a self-starter.
• 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.

Skills:

Python, SQL, System Testing

Job type:

Full-time

• Design, develop, and maintain applications and automation solutions to support operational processes and business improvement initiatives.
• Develop automation using Python and/or process automation tools, SQL, Microsoft Power Platform (e.g., RPA, workflow automation, API integration).
• Build and maintain front-end and back-end components to support internal tools, dashboards, or workflow systems.
• Code Quality AssuranceWrite clean, efficient, and well-documented code, and conduct code reviews to ensure adherence to coding standards and best practices.
• Requirements Analysis & Solution DesignWork closely with Business Analysts, Operations users, and stakeholders to understand business requirements.
• Translate business and process requirements into technical designs, automation logic, and system architecture.
• Support solution design for end-to-end processes, including integration with existing systems.
• Testing, Deployment & SupportPerform unit testing and support system testing and User Acceptance Testing (UAT).
• Troubleshoot defects, performance issues, and automation failures.
• Provide post-implementation support and continuous enhancement of deployed solutions.
• Collaboration & Continuous ImprovementCollaborate with cross-functional teams including Operations, IT, Data, and Project Management.
• Stay up-to-date with emerging technologies related to automation, Python development, low-code/no-code tools, and digital platforms.
• Proactively propose improvements to development and automation practices within the team.
• We're committed to bringing passion and customer focus to the business. If you like wild growth and working with happy, enthusiastic over-achievers, you'll enjoy your career with us.

Experience:

2 years required

Skills:

Statistics, SQL, Google Analytics

Job type:

Full-time

• Maintain automated monitoring and detection systems.
• Build and track metrics for product features and business health.
• Set up tracking elements and events via Google Tag Manager.
• Create dashboards and alerts for key performance indicators.
• Ensure data quality and integrity across the platform.
• Strategic Projects (20%)Support new product launches with analysis and insights.
• Measure impact of business model experiments and initiatives.
• Partner with product and business teams on data-informed decisions.
• Build forecasting models and identify growth opportunities.
• AI & Automation (20%)Use AI tools to accelerate analysis and automate repetitive work.
• Build scripts and workflows using modern AI-assisted development.
• Help the team adopt efficient, AI-enabled ways of working.
• Basic QualificationsBachelor s degree in Statistics, Mathematics, Economics, Engineering, Computer Science, or related field.
• 2-3 years of experience in data analytics, business intelligence, or a similar role.
• Strong SQL skills (must-have).
• Knowledge or experience with Google Analytics and Google Tag Manager (must-have).
• Experience building and maintaining automated reports and dashboards.
• Comfortable using AI tools (ChatGPT, Claude, etc.) to work more efficiently.
• Self-starter who can manage recurring tasks independently.
• Clear communication skills with both technical and business stakeholders.
• Preferred QualificationsPython experience (or willingness to learn).
• Experience with operational analytics and monitoring systems.
• Familiarity with Google Cloud Platform (BigQuery, Cloud Functions, Cloud Scheduler).
• Background in product analytics or marketplace/platform businesses.
• Track record of using AI to automate workflows.
• Data Analyst StackData: BigQuery, SQL, Python, Google Sheets.
• Visualization: Looker, Metabase.
• Marketing Analytics: Clevertap, Google Analytics.
• AI Tools: Claude, ChatGPT.
• Perks & Benefits Flat Structure As we continue to grow fast, we strive to retain our culture where everyone is heard, contributes, and grows with the company..
• Work-life Harmony We believe that quality time outside of work is important to sustaining a healthy and happy lifestyle.
• Remote Work Hybrid-mode activated! It comes with the package: flexibility, focus and productivity!.
• Urban Office One breath from Phrom Phong BTS. No sweat whatsoever! The office should also feel like a second home so we dedicated a lot of care and resources into building the best environment for you to wake up to every morning.
• Fun Workshop The best relationships are built over new experiences, that s why we have workshops filled with a range of activities for you to look forward to and enjoy.
• Game Tournament It s getting fun and competitive! Challenge doesn t only have to come from work. Own the championship and show the peeps how great of a gamer (and player) you are.
• Group Insurance Health comes first, we know, don t worry, we ve got you covered.
• Health & Wellness Only a healthy army wins the war. We invest to take care of you from physical, mental and happiness-level. Adopted health & wellness applications plus activities to make sure everyone here is on cloud nine

Experience:

3 years required

Skills:

Statistics, GraphQL, SQL

Job type:

Full-time

• Bridging business requirements with technical feasibility across multiple domains.
• Translating ambiguous business problems into clear technical specifications and data models.
• Working end-to-end: requirement gathering, solution design, modeling, API/services, and platform integration.
• Communicating with cross-functional teams (domain experts, business, data, infra, product).
• Turning business objectives into data-driven solutions with clear problem statements and measurable outputs.
• Handling messy, incomplete, or unstructured data and transforming it into usable features or insights.
• Deploying models into production with reliability, performance, and maintainability.
• Integrating ML solutions into full-stack systems (APIs, backend logic, dashboards).
• Qualifications:Bachelor/Master/Doctorate degree in Computer Engineering, Computer Science, Statistics, Applied Science, or related fields (Bachelor G.P.A. > 2.70, Master G.P.A. > 3.30).
• 3-5 years of experience as a Data Scientist or related roles.
• Experience in Data Science & Machine Learning, NLP, LLM & RAG, Software Engineering & Systems, and Business & Analytical Competencies.
• Skilled in algorithms and data structures, clean OOP-based architecture, REST/GraphQL APIs, SQL/NoSQL databases, and cloud platforms (AWS/GCP/Azure).
• Good communication, coordination, and problem-solving skills.
• Willing to work in an on-site mode at SCG Headquarters, Bangsue, Bangkok.
• Contact: Pupat (Mac) Email: [email protected]

Experience:

5 years required

Skills:

SQL, DevOps, Automation, English

Job type:

Full-time

• Design, develop, and optimize ETL processes using Databricks to support large-scale data processing and analytics.
• Build and maintain batch and stream ETL/ELT workflows for structured and semi-structured data using data bricks and Azure Services.
• Establish integration between prem platform and azure storage to establish the incremental copy.
• Develop efficient, reusable, and version-controlled Databricks notebooks and workflows.
• Implement data transformation, cleansing, and validation logic to ensure data accuracy.
• Design and manage curated data layers supporting reporting and advanced analytics.
• Establish data quality, lineage, and governance practices across the Databricks platform.
• Collaborate with data analysts, BI developers, and data scientists to deliver analytical datasets.
• Leverage SQL/Spark for data extraction, transformation, and analysis.
• Apply strong problem-solving and debugging skills to identify and resolve issues in data pipelines and workflows.
• Migrate the reports from Traditional database to Databricks environment with optimized schema and schema structures and validate the data.
• Collaborate with cross-functional teams to ensure data integrity, performance optimization, and alignment with business objectives.
• Implement DevOps practices such as CI/CD automation and version control to streamline deployment and management of Databricks workflows.
• 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, Associates / Analysts / Consultants across our Firm are expected to:Demonstrate a strong commitment to personal learning and development.
• Understand how our daily work contributes to the priorities of the team and business.
• Understand the set expectations and demonstrate accountability in keeping personal performance on track.
• Actively focus on developing effective communications and relationship-building skills with stakeholders, clients and team.
• Demonstrate an appreciation for working with others.
• Understand what is fundamental to Deloitte s success as a business.
• Demonstrate integrity and an awareness of strengths, differences, and personal impact.
• Develop their understanding of Deloitte and offer a fresh perspective.
• Requirements:Minimum 5 - 10 years of experience.
• Possess 5 years in solution, architecting, design and development experience in enterprise/ architecture projects.
• Experienced in managing full development lifecycle phases, designing enterprise software and defining solution architectures and technology.
• Applying design concepts - Service oriented architecture, layered architectures, components, interfaces, messaging and patterns.
• Application integration service support components.
• Designing and integrating applications and SaaS solutions using technology stacks and cloud service providers, such as Microsoft (e.g. Azure, power BI,Tableau),.
• BI service support components (e.g. Data warehouse, extract-transform-load processes, databases).
• Azure Data Factory, Azure Databricks, Hadoop Exposure.
• E2E integration experience (Hybrid cloud model).
• Strong verbal and written communication, presentation and collaboration skills. Good relationship building skills are necessary, including the ability to build a rapport and communicate effectively with all levels of the customer.
• Good command over verbal and written English.
• work closely with application development and testing teams to support Data ETL build and supports project activities especially on Data and ETL platforms.
• Release Management (strong in GIT) and Azure Control M.
• Good to Have:Continued learning certifications, at least one of the following: AWS Certified Solutions Architect, Google Cloud Certified Architect, Microsoft Azure Solutions Architect,.
• Cloud [Software] Systems Engineer, Customer Solutions Engineer [Cloud / Data, Analytics/AI] or combination of experience as DevOps Engineer, Data Architect, Cloud/SaaS Software Developer.
• 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: 112016In 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:

5 years required

Skills:

SQL, MongoDB, MySQL, English

Job type:

Full-time

• Department: Information Technology.
• Company: บริษัท จีเอ็มเอ็ม มิวสิค จำกัด (มหาชน).
• Control and manage the company's IT infrastructure team.
• Install, manage, and maintain the data center.
• Install, manage, and maintain the company's storage and servers.
• Install, manage, and maintain the internal and external network connections.
• Install, manage, and maintain connections between cloud systems (AWS and GCP).
• Install, manage, and maintain databases using SQL Server, MongoDB, and MySQL.
• Install, manage, and maintain the company's container services using Docker.
• Install, manage, and maintain the company's mail server (Exchange, O365 Platform, and ZMail).
• Install, manage, and maintain virtualization servers.
• Install, manage, and maintain backup systems.
• Install, manage, and maintain network security systems (firewall).
• Verify and manage company licenses to ensure accuracy and compliance.
• Research and design network systems to connect core systems with new technologies.
• Collaborate with partner companies to find new solutions for improvement and development.
• Research and propose new technology recommendations to align with business needs and support future expansion.
• Collaborate with the procurement department to verify computer and related peripheral equipment purchase prices.
• Study and resolve data and errors encountered in system usage.
• Other tasks as assigned..
• Bachelor s/Master s degree in Information Technology or a related field.
• Minimum 5 years of experience in System Engineer (SE) or related roles.
• Experience using Microsoft Business Center (BC365).
• Experience with Microsoft SQL Server 201x Version.
• Experience installing, maintaining, and using Esxi, V-Center, IIS, and Microsoft family products.
• Experience with Veem Backup and Tape Backup installation, maintenance, and usage.
• Experience with Cisco family installation, maintenance, and usage.
• Good English skills in writing, reading, and speaking.
• Experience in the retail business or related fields.
• Passionate about customer service and able to work well under pressure.
• Able to work onsite 5 days a week (Flexible working hours)..
• ประสบการณ์ 5 ปีขึ้นไป.
• จำนวน 1 อัตรา.

Experience:

1 year required

Skills:

Statistics, Excel, SQL, English

Job type:

Full-time

• Responsible for instructions of client deliverables, coding and data input validation focusing on specific industry/category or set of categories.
• Does cross coding and item-related quality checks on a daily basis.
• May act as a back-up to other coders when needed; conduct physical store check to validate item-related information.
• Keep track/document special instructions related to category assignment.
• Plan and execute a complex daily personal workload and support to meet departmental and company schedules.
• Ensure accuracy throughout the process, from validation before database setup to managing samples, and identify areas for improvement.
• Answer external questions and act as a liaison with everyone from clients to stakeholders; To be able to identify, investigate and coordinate the resolution of data, process, or product related queries.
• Willing to be trained to be a category expert.
• Bachelor s degree in Mathematics / Computer Science / Business Admin / Statistics or any relevant subjects.
• Fresh graduate or with 1 year experience in data and operational areas are welcome.
• FMCG background or experience as an encoder is a plus.
• Able to work as part of a team in a multicultural environment.
• Passionate in data. A high degree of accuracy, proactivity, good analytical skill and logical thinking.
• High level of accountability and willingness to take ownership.
• Eager to learn and willingness to grow.
• Excel is mandatory; One or more of the following would be added advantage: (SQL, R or Python).
• Proactively, willing to voice out and share opinion.
• Excellent written and verbal communication skills in English and Thai language proficiency is required.
• This is a 3 months contract role.
• Additional Information.
• NIQ may utilize artificial intelligence (AI) tools at various stages of the recruitment process, including résumé screening, candidate assessments, interview scheduling, job matching, communication support, and certain administrative tasks that help streamline workflows. These tools are intended to improve efficiency and support fair and consistent evaluation based on job-related criteria. All use of AI is governed by NIQ s principles of fairness, transparency, human oversight, and inclusion. Final hiring decisions are made exclusively by humans. NIQ regularly reviews its AI tools to help mitigate bias and ensure compliance with applicable laws and regulations. If you have questions, require accommodations, or wish to request human review were permitted by law, please contact your local HR representative. For more information, please visit NIQ s AI Safety Policies and Guiding Principles: https://www.nielseniq.com/global/en/ai-safety-policies.
• Our Benefits.
• Flexible working environment.
• Volunteer time off.
• LinkedIn Learning.
• Employee-Assistance-Program (EAP).
• About NIQ.
• NIQ is the world s leading consumer intelligence company, delivering the most complete understanding of consumer buying behavior and revealing new pathways to growth. In 2023, NIQ combined with GfK, bringing together the two industry leaders with unparalleled global reach. With a holistic retail read and the most comprehensive consumer insights delivered with advanced analytics through state-of-the-art platforms NIQ delivers the Full View&trade. NIQ is an Advent International portfolio company with operations in 100+ markets, covering more than 90% of the world s population.
• For more information, visit NIQ.com.
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• Our commitment to Diversity, Equity, and Inclusion.
• At NIQ, we are steadfast in our commitment to fostering an inclusive workplace that mirrors the rich diversity of the communities and markets we serve. We believe that embracing a wide range of perspectives drives innovation and excellence. All employment decisions at NIQ are made without regard to race, color, religion, sex (including pregnancy, sexual orientation, or gender identity), national origin, age, disability, genetic information, marital status, veteran status, or any other characteristic protected by applicable laws. We invite individuals who share our dedication to inclusivity and equity to join us in making a meaningful impact. To learn more about our ongoing efforts in diversity and inclusion, please visit the https://nielseniq.com/global/en/news-center/diversity-inclusion.

Experience:

1 year required

Skills:

Data Analysis, SQL, Energetic, English

Job type:

Full-time

• Reconcile, review, and correct merchant data from submissions.
• Prepare, review, and update the working SOP.
• Coordinate with related teams to solve the problem.
• Support ad-hoc task upon request.
• Prepare and perform data analysis report upon request.
• Be ready and always prepare for unexpected circumstances and be willing to make it work.
• Requirements: Bachelor s Degree in Business Administration and related field.
• 1 - 2 years experience in KYB/KYC, Onboarding or related fields would be a plus.
• Basic SQL would be a plus.
• Basic-Good in English communication.
• Good in MS office program.
• Critical thinking and willing to learn.
• Hard-working and energetic personality with Can-Do attitude.
• Details-oriented with skepticism skill.

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, 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.

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.

Experience:

No experience required

Skills:

Python, SQL, Database Administration, English, Thai

Job type:

Full-time

• Guide and train new customers to confidently use our system.
• Monitor customer activity, troubleshoot basic issues, and coordinate with internal teams.
• Analyze and manage customer data to ensure readiness for real-time use.
• Work closely with logistics, operations, and tech teams to deliver a seamless onboarding experience.
• Travel and visit customer sites.
• Experience in Customer Support or Data Analysis is a plus new graduates are welcome to apply.
• Proficiency in Excel and SQL; Python skills are a plus.
• Excellent communication skills in both Thai and English.
• Adaptable, quick to learn, and able to work under pressure.
• Educational background in IT, Computer Science, or related fields is preferred.
• Allows you to apply your skills in data, technology, and customer service.
• Supports your personal and professional development.

Experience:

2 years required

Skills:

SQL, English

Job type:

Full-time

• Manage end-to-end marketing initiatives such as CRM to drive new user acquisition and retention, including mechanics planning, budget optimization, user segment breakdown, testing and performance analysis.
• Regularly review and analyze key marketing metrics to provide insights that guide decision-making for campaign improvement.
• Conduct data-driven analysis to provide actionable insights and recommendations for current business direction on ShopeePay, Digital Products and Credit 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.
• Support other special projects as requested.
• Requirements: 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.
• Strong sense of ownership over their work and long-term goals; a self-starter.
• 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:

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.