เงื่อนไขการค้นหา

ประเภทงาน:

ฝึกงาน

Additional InformationNot available. Intern Specific text Interns are not financially remunerated by the United Nations. Costs and arrangements for travel, visas, accommodation and living expenses are the responsibility of interns or their sponsoring institutions. Interns who are not citizens or permanent residents of the country where the internship is undertaken, may be required to obtain the appropriate visa and work/employment authorization. Successful candidates should discuss their specific visa requirements before accepting the internship offer. No Fee THE UNITED NATIONS DOE ...

ทักษะ:

Statistics, Analytical Thinking

ประเภทงาน:

งานประจำ

• Growth Marketing Analysis: Monitor and analyze traffic sources to understand user behavior. Track new buyer acquisition and user lifecycle metrics to identify emerging trends and growth opportunities for the platform.
• Marketing Project Management: Execute cross-functional projects that bridge marketing and commercial objectives. Ensure all initiatives align with the company's strategic goals.
• Project Coordination: Manage timelines and resources while coordinating with differe ...
• Performance Reporting: Track the success of various initiatives and provide reports on performance. Identify areas for process improvement to make future projects more effective.
• Requirements: Education: Bachelor s degree in Business, Economics, Engineering, Statistics, or any related field (Fresh Graduates are welcome).
• Analytical Thinking: Comfort with numbers and the ability to draw simple insights from data.
• Organizational Skills: Strong ability to manage multiple tasks, keep track of deadlines, and maintain attention to detail.
• Interpersonal Skills: Ability to coordinate effectively with various teams and stakeholders to get things done.
• Technical Skills: Proficiency in Microsoft Excel and PowerPoint is a plus.
• Mindset: A proactive, "can-do" attitude with a strong desire to learn in a fast-paced e-commerce environment.

ประสบการณ์:

2 ปีขึ้นไป

ทักษะ:

Statistics, SQL, Google Analytics

ประเภทงาน:

งานประจำ

• 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

ประสบการณ์:

3 ปีขึ้นไป

ทักษะ:

Statistics, GraphQL, SQL

ประเภทงาน:

งานประจำ

• 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]

ประสบการณ์:

2 ปีขึ้นไป

ทักษะ:

Research, Statistics, Data Analysis

ประเภทงาน:

งานประจำ

• Prepare daily, weekly, and monthly reports.
• Learn and become proficient in the Revenue Toolkit and the information systems used by Ennismore / Accor.
• Maintain the regional knowledge base.
• Support revenue maximization by monitoring both individual and group production, ensuring an optimal guest mix is maintained.
• Assist in evaluating individual and group reservation requests to ensure high-yield revenue is not displaced.
• Contribute to the critical analysis of the impact of revenue strategies implemented in the region.
• Assist with monitoring and managing RMS (Revenue Management System) ideas.
• Support audits of the region s presence in the GDS and other distribution channels, ensuring alignment with sales strategies.
• Analyze events and trends that may impact property revenue.
• Conduct research on competitors revenue practices to identify potential opportunities for improvement.
• Assist in demand forecasting.
• Prepare reports for weekly revenue and group pipeline meetings.
• Support the implementation of revenue strategies and tactics across multiple distribution channels.
• Bachelor's degree in Business, Economics, Statistics, or related field (Master's degree preferred).
• 2+ years of experience in data analysis, preferably in revenue or financial analysis.
• Advanced proficiency in Excel and SQL.
• Experience with data visualization tools such as Tableau or Power BI.
• Strong analytical and problem-solving skills.
• Excellent communication skills, both written and verbal.
• Knowledge of statistical analysis and forecasting techniques.
• Experience working with large datasets and complex data structures.
• Understanding of revenue management principles.
• Familiarity with financial reporting and accounting principles.
• Ability to work efficiently and meet deadlines in a fast-paced environment.
• Strong attention to detail and commitment to data accuracy.
• Proactive approach to identifying opportunities for process improvement.
• Additional Information Employee benefit card offering discounted rates at Accor hotels worldwide.
• Develop your talent through Accor s learning programs.
• Opportunity to grow within your property and across the world!.

ประสบการณ์:

1 ปีขึ้นไป

ทักษะ:

Python, Statistics, Statistical Analysis, English

ประเภทงาน:

งานประจำ

• Own Data Science solutions for client requests and provide initial recommendations for complex client raised issues.
• Support Internal and External Clients with the understanding of Data Science design and methodology.
• Accompany senior leaders meet with clients to understand business needs and help offer innovative solutions.
• Work on creating innovative solutions, use cases, proof of concept and prototypes by exploring diverse data sets using tools such as Python.
• Understand Nielsen products and services to suggest innovative solutions for client challenges.
• Collaborate with other Data Science team units.
• Automate and develop solutions for existing processes.
• Innovate and create out of the box solutions by leveraging large and diverse data sets and state of the art technologies.
• You have dabbled in data. You have perused Python. And you have the communication chops to translate it all into conversation or presentations. While you have worked with global cross-functional teams, you can also put your head down and focus on independent projects. Seeing the big picture takes attention to detail. You know what is happening in big data and you are ready to influence what is next.
• Professionals with degrees (either Bachelor/Master) in Math's, Data Science, Statistics, or related fields involving statistical analysis of large data sets.
• 1 year of experience in market research or relevant fields, however, open for fresh graduate.
• Intermediate levels proficiency with Python.
• Implementation experiences on automation of processes.
• Basic knowledge with data visualization tools (e.g., PowerBi) and mapping tools.
• Problem-Solving skills.
• Ability to effectively convey complex concepts to non-experts.
• Intellectual curiosity and persistence to find answers to questions.
• Eager to continuously learn and adapt to changing technologies and tools.
• Good command of written and spoken English.
• Good collaborative and interpersonal skills to communicate at all levels.
• Working knowledge with collaboration tools such as Microsoft Office (Word, Outlook, PowerPoint, Excel, Power BI).
• Additional InformationNIQ 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.
• Want to keep up with our latest updates?.
• Follow us on: LinkedIn | Instagram | Twitter | Facebook.
• 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.

ประสบการณ์:

1 ปีขึ้นไป

ทักษะ:

Statistics, Excel, SQL, English

ประเภทงาน:

งานประจำ

• 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.
• Want to keep up with our latest updates?.
• 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.

ทักษะ:

Microsoft Office, Excel, Statistics, English

ประเภทงาน:

งานประจำ

• Summarize data in tables, charts, and graphs.
• Analyze and interpret sales data and consumer data + One NielsenIQ portfolio data.
• Deliver final reports and presentations (category overview as well as issue-based) building a story and final recommendations.
• Review data for errors and inconsistencies.
• Use internal tools and data sources.
• Follow and fully owns Center of Excellence (COE) ways of the working process, manages Clients'/Client Business Partners (CBPs') expectations.
• Interacts with client staff on routine issues.
• Independently discusses analysis design to best answer client questions with CBP/client.
• Discuss design and calculate the Quantified Business Opportunity.
• Drive time/cost-effectiveness on the project.
• Support meeting the COE objectives as a whole.
• Inspire peers and co-workers.
• Qualifications Curiosity will bring you to understand where the market is moving and to provide business solutions based on the client's needs. Your chance to deliver high-quality client services all the time is here, working together with our client business partners, while your communication skills will help you to adapt to the multi-diverse working culture.
• Bachelor s Degree from reputable Universities.
• Fresh Graduate are welcome to apply.
• Strong business and financial acumen (including business environment and client) with excellent analytical skills.
• Understanding of growth and brand strategy.
• Strong communication skills & presentation skills, able to interpret numbers or data by storytelling techniques.
• Ability to work independently and comfortable working in a digitally enabled environment.
• Strong Organizational & interpersonal skills.
• Good client service skills and able to communicate and write effectively in English and Thai.
• Knowledge of Microsoft Office, especially PowerPoint and Excel is required.
• Retail data experience is a plus.
• Basic knowledge in statistics would be an added advantage.
• Additional InformationHybrid based role, must be physically located within job country and candidate must be a Country/Region Resident.
• 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.
• Want to keep up with our latest updates?.
• Follow us on: LinkedIn | Instagram | Twitter | Facebook.
• 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.

ประสบการณ์:

1 ปีขึ้นไป

ทักษะ:

Research, Statistics, Market Research, English

ประเภทงาน:

งานประจำ

• Maintaining and building an accurate, complete, up-to-date understanding of the market with insightful data and intelligence.
• Accountable for analyses, charting and performing quality checks for analytic reports.
• Assisting in developing analytical solutions, consumer insight recommendation and developing questionnaires aligned with client goals and needs.
• Assisting in preparation of proposals and credential presentations.
• Ensuring timely and quality deliverables and services to clients.
• Providing administrative and operational support in research projects.
• Collaborating with the various internal teams for research projects.
• QualificationsYou will play an essential role in managing research projects from start to finish; supporting the Senior Manager on research design, analysis, reporting through to presenting findings to clients. We will arm you with the best in market research skills and capabilities, through on the job coaching and structured training. You will also be given access to our full range of data and analytics solutions. Whilst we love surveys, we also have plenty of other data to quench your curiosity and wow your clients.
• University graduate in Marketing, Business, Economics, Social Sciences, Mathematics, Statistics or equivalent disciplines.
• one year of working experience in Market Research industry, however, Fresh graduates are encouraged to apply.
• Excellent analytical, communication, and coordination skills.
• Proactive and strive for excellence and a good team player.
• Proficient in Microsoft Excel & PowerPoint.
• Good client service skills and able to communicate and write effectively in English and Thai.
• Additional InformationHybrid based role, must be physically located within job country and candidate must be a Country/Region Resident.
• 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.
• Want to keep up with our latest updates?.
• Follow us on: LinkedIn | Instagram | Twitter | Facebook.
• 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.

ประสบการณ์:

2 ปีขึ้นไป

ทักษะ:

Risk Management, Project Management, Statistics, English

ประเภทงาน:

งานประจำ

• Engage with clients to understand business goals, provide advisory support, and proactively address technical and functional challenges while effectively supporting presentations and demonstrations.
• Build strong relationships with senior client stakeholders to consistently exceed expectations.
• Independently gather and analyze client requirements, developing tailored business solutions.
• Provide expertise on risk management technologies, methodologies, and regulatory frameworks (e.g. Basel, IFRS9, Liquidity, Credit Risk, Market Risk, Operational Risk, Banking Regulations, etc), while developing, maintaining, and enhancing quantitative risk models to ensure accuracy and regulatory alignment.
• Collaborate effectively with senior consultants, managers, and cross-functional teams to achieve project objectives.
• Coordinate regional teams across Southeast Asia to foster consistency and excellence.
• Support project management activities, including scope definition, planning, execution, and delivery.
• Contribute to knowledge-sharing initiatives, training programs, and professional development activities.
• Contribute to proposal development, bid participation, and market expansion efforts to strengthen the firm s presence.
• Your role as a team member: At Deloitte, we believe in the importance of empowering our people to be leaders at all levels. We expect our people to embrace and live our purpose and shared values, challenging themselves everyday to identify issues that are most important to our clients, our people and the communities, and to make an impact that matters. In addition to living our purpose, Consultants across our Firm are expected to:Understand the expectations set and demonstrates personal accountability for keeping own performance on track.
• Understand how our daily work contributes to the priorities of the team and the business.
• Demonstrate strong commitment to personal learning and development.
• Actively focus on developing effective communication and relationship-building skills, with stakeholders, clients and team.
• You are someone with:Possesses a degree, preferably in Actuarial Science, Statistics, Economics, Mathematics, Finance, Accountancy, Risk Management, or a related field.
• Professional certifications (e.g., FRM, PRM, CFA) are an added advantage.
• Minimum of 1 to 2 years of relevant experience, ideally within consulting, banking, or financial services.
• Demonstrates strong domain and technical-functional knowledge in regulatory frameworks and risk management solutions, including Basel, IFRS 9, Liquidity, Credit Risk, and Banking Regulations.
• Hands-on experience with data analytics and visualization tools such as SQL, Power BI, Python, and SAS preferred.
• Proficient in Microsoft Excel, PowerPoint, and Word, with advanced skills.
• Strong analytical, problem-solving, and data interpretation skills with high attention to detail.
• Excellent communication, interpersonal, collaboration, and client management abilities.
• Proficient in business-level English, both verbal and written.
• Capable of working independently, multitasking, and managing projects effectively.
• Works efficiently against demanding timelines.
• A high-performing, coachable team player who prioritizes continuous development, puts clients first, and exemplifies a value-driven mindset.
• Due to volume of applications, we regret only shortlisted candidates will be notified.
• Please note that Deloitte will never reach out to you directly via messaging platforms to offer you employment opportunities or request for money or your personal information. Kindly apply for roles that you are interested in via this official Deloitte website.Requisition ID: 108502In 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.

ประสบการณ์:

5 ปีขึ้นไป

ทักษะ:

Statistics, ETL, SQL

ประเภทงาน:

งานประจำ

• 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.

ทักษะ:

Compliance, Statistics, Research

ประเภทงาน:

งานประจำ

• Develop standards, practices, and requirement for digital signature, content and data management as well as ensure consistent compliance of all implementations.
• Develop existing and future requirement for use of digital signature, content and data management system to meet data need to serve company strategy and external trends.
• Develop a strategic and tactical plan in alignment with current and future business requirement on data management.
• Identify the key data required to run the projects as well as define key issues and recommendations to solve the problems.
• Facilitate data council to provide guidelines and recommendation on business requirements, practice, and compliance.
• Communicate standards and practices regarding data management to relevant stakeholders, and monitor all implementation to ensure efficiency.
• Define, manage, and update overall data catalog as well as collate data definition, sources, and owners for key data required for the business.
• Provide information to business users as required.
• Professional Knowledge & Experiences.
• Bachelor s Degree in computer science, statistics, or operations research or related technical discipline.
• 10 years or more experience in Data Governance.
• Experience in working with digital signature, content and data management related to data architecture, integration, classification, strategy, quality management, security and privacy standards.
• Understand industry processes and uses of data throughout the lifecycle in the functions/data domains.
• Knowledge of industry and ability to translate business needs into data.
• Additional Desirable Qualification.
• CORE Competencies.

ประสบการณ์:

4 ปีขึ้นไป

ทักษะ:

Statistics, Python, SQL

ประเภทงาน:

งานประจำ

• 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.

ทักษะ:

Statistics, Data Analysis, English

ประเภทงาน:

ฝึกงาน

• Data Monitoring and Diagnosis: Build and maintain a real-time dashboard for agent advertising spending, and conduct attribution analysis on agent performance differences (by country/industry/product dimension).
• Business Analysis Support: Identify growth opportunities for high-potential agents; track the progress of commission incentive policies, etc.
• Other monetization-related operational tasks for non-China advertising business, collaborating with relevant teams such as sales to drive the execution of key projects.
• Minimum QualificationsUndergraduate students and above enrolled in the class of 2026, with majors in management, statistics, economics, computer science, economics and trade, advertising, foreign languages, etc. preferred;.
• Can use English as a working language and has excellent English listening, speaking, reading, and writing skills;.
• Strong learning ability, with internship experience in Product Operation and Data Analysis preferred.
• Job Information
• About TikTok
• TikTok is the leading destination for short-form mobile video. At TikTok, our mission is to inspire creativity and bring joy. TikTok's global headquarters are in Los Angeles and Singapore, and we also have offices in New York City, London, Dublin, Paris, Berlin, Dubai, Jakarta, Seoul, and Tokyo.
• Why Join Us
• Inspiring creativity is at the core of TikTok's mission. Our innovative product is built to help people authentically express themselves, discover and connect - and our global, diverse teams make that possible. Together, we create value for our communities, inspire creativity and bring joy - a mission we work towards every day.
• We strive to do great things with great people. We lead with curiosity, humility, and a desire to make impact in a rapidly growing tech company. Every challenge is an opportunity to learn and innovate as one team. We're resilient and embrace challenges as they come. By constantly iterating and fostering an "Always Day 1" mindset, we achieve meaningful breakthroughs for ourselves, our company, and our users. When we create and grow together, the possibilities are limitless. Join us.
• Diversity & Inclusion
• TikTok is committed to creating an inclusive space where employees are valued for their skills, experiences, and unique perspectives. Our platform connects people from across the globe and so does our workplace. At TikTok, our mission is to inspire creativity and bring joy. To achieve that goal, we are committed to celebrating our diverse voices and to creating an environment that reflects the many communities we reach. We are passionate about this and hope you are too.

ทักษะ:

Accounting, Statistics, Finance

ประเภทงาน:

ฝึกงาน

• Assist teams in executing platform and category campaign operations tasks.
• Conduct trend analysis and provide strategic recommendations to enhance overall campaign performance.
• Contribute to post-mortem reports to assess the effectiveness of campaigns and projects.
• Minimum QualificationsCurrently pursuing a degree in Accounting, Statistics, Finance, or a related field.
• Strong project management, communication, and teamwork skills, with a high sense of ownership.
• Proficiency in Microsoft Excel and basic data analysis.
• A proactive mindset with a strong aptitude for learning and a positive, results-driven attitude.
• Preferred QualificationsPrior internship of 3 to 6 months.
• Basic understanding of the internet and e-commerce advertising solutions or business operations.
• Comfortable working with data and demonstrating strong attention to detail.
• Ability to adapt quickly to changes and work independently with a high level of self-motivation.
• Strong analytical background with a data-driven mindset.
• By submitting an application for this role, you accept and agree to our global applicant privacy policy, which may be accessed here: https://careers.tiktok.com/legal/privacy.
• If you have any questions, please reach out to us at [email protected]
• Job Information
• About TikTok
• TikTok is the leading destination for short-form mobile video. At TikTok, our mission is to inspire creativity and bring joy. TikTok's global headquarters are in Los Angeles and Singapore, and we also have offices in New York City, London, Dublin, Paris, Berlin, Dubai, Jakarta, Seoul, and Tokyo.
• Why Join Us
• Inspiring creativity is at the core of TikTok's mission. Our innovative product is built to help people authentically express themselves, discover and connect - and our global, diverse teams make that possible. Together, we create value for our communities, inspire creativity and bring joy - a mission we work towards every day.
• We strive to do great things with great people. We lead with curiosity, humility, and a desire to make impact in a rapidly growing tech company. Every challenge is an opportunity to learn and innovate as one team. We're resilient and embrace challenges as they come. By constantly iterating and fostering an "Always Day 1" mindset, we achieve meaningful breakthroughs for ourselves, our company, and our users. When we create and grow together, the possibilities are limitless. Join us.
• Diversity & Inclusion
• TikTok is committed to creating an inclusive space where employees are valued for their skills, experiences, and unique perspectives. Our platform connects people from across the globe and so does our workplace. At TikTok, our mission is to inspire creativity and bring joy. To achieve that goal, we are committed to celebrating our diverse voices and to creating an environment that reflects the many communities we reach. We are passionate about this and hope you are too.

ประสบการณ์:

1 ปีขึ้นไป

ทักษะ:

Finance, Statistics, Python, English

ประเภทงาน:

งานประจำ

• Manage/ Clean/ Prepare internal and external data (structured/ semi-structured/ unstructured data) for model development/ deployment/ monitoring, including the production of data quality and integrity report.
• Develop statistical/ expert/ hybrid models to be able to enhance the model when model deterioration is indicated using variety of data modeling techniques such as Logistic Regression/ Random Forest/ Gradient Boosting/ Non-Parametric Regression. Also, in case of using external consultants, be able to work closely with them across all m ...
• Generate prescriptive models to respond to interactive decision to optimize risks and rewards.
• Deploy credit risk models into Databricks platform, collection system and credit decision engine and maintain any model adjustment.
• Assist and work closely with related parties, e.g. business users, credit approval officers and relationship managers to ensure credit risk models are appropriate and efficient for business direction and support for new digital lending risk assessment and platform.
• Ensure all credit risk models are qualified to be used through model life cycle. Regularly perform model monitoring, model assessment and propose proactive action/ recommendation to improve the model.
• Assist and design for business opportunity to develop alternative credit score from partnership data.
• Collaborate with IT and data engineer to ensure data availability and quality from various sources (both on-premise/ cloud) to develop an efficient model.
• Qualifications Bachelor s or higher degree in Finance, Statistics, Mathematics, Economics, MIS, Engineer, Data scientist or any related fields.
• At least 1-2 year experiences credit risk analytics, credit risk modeling/ scoring in retail banking, consumer finance or any financial business.
• Strong knowledge and skill in machine learning, credit scoring, data analytics using R/ Python/ PySpark, MATLAB, SPSS, SAS, SQL or similar required.
• Analytical mindset with excellent critical thinking ability and data analytics skills.
• Excellent computer skills and programming tools.
• Good command in both written and spoken English.
• Good project management skills.
• Good team player with a positive attitude toward hard working and working under pressure.
• Experienced in credit risk modeling, model monitoring/ validation/ deployment/ maintenance preferred.
• Prior experience in Basel/ IFRS9, RAROC, Stress Test, Big Data, Data Mining, Digital leading, Fin-tech/ Start-up is a plus.
• 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.

ทักษะ:

Statistics, Industry trends, Meet Deadlines

ประเภทงาน:

งานประจำ

• Provides operational leadership team to a team of individuals accountable for service offer management.
• Sets the standard for client satisfaction and assists with the development of client service policies, procedures and standards that will ensure the continued satisfaction of our clients.
• Investigates and solves client problems which have been escalated by the team.
• Assists with the preparation of bids and proposals to clients and remains up to date with deals in the pipeline to ensure a smooth transition from Sales to Delivery.
• Ensures that assigned infrastructure at the client site is configured, installed, tested and operational.
• Investigates all line support calls and identifies the root cause of incidents, events and problems to ensure proactive future management.
• Takes full ownership for managing the escalated incidents, requests, events and/or problems to resolution within the service level conditions.
• Provides continuous feedback to clients and affected parties and updates all systems and/or portals as prescribed by company procedures.
• Follows the required handover procedures for shift changes to ensure service continuity and manages resource allocation to achieve service level agreements.
• Assists with the analysis of statistics and other data to determine the level of client service provided.
• Contributes to and assists with the maintenance of the information technology site plan.
• Assists with the identification of user and employee training requirements.
• To thrive in this role, you need to have: Seasoned knowledge of technical services, IT service management, and related technologies.
• Ability to stay up to date with industry trends, emerging technologies, and best practices.
• Seasoned knowledge of technical services concepts, IT service management (ITSM) practices, and industry best practices.
• Seasoned understanding of various information technology domains, including infrastructure, cloud services, cybersecurity, application management, networks, data center and collaboration.
• Good client-facing and communication skills, with the ability to build and maintain strong client relationships.
• Developing management qualities, including the ability to learn the skills to inspire and mentor a team.
• Displays the ability to facilitate presentation of technical and complex matters to a diverse audience.
• Ability to analyze data and produce reports on issues and recommend resolutions.
• Ability to multi-task, set priorities and meet deadlines.
• Seasoned knowledge of ITIL (Information Technology Infrastructure Library) practices is desirable.
• Ability to work collaboratively with cross-functional teams and stakeholders.
• Academic qualifications and certifications: Bachelor's degree or equivalent in Business or Information Technology or related field.
• Master s degree or equivalent in Information Technology or Business Administration preferred.
• ITIL certification is desirable.
• Relevant technical certifications as required.
• Required experience: Solid experience in similar role within a related global technology environment.
• Moderate level of experience operationally managing a technical team.
• Solid experience dealing with clients and managing service levels.
• Solid stakeholder engagement experience at all levels in the organization.
• Hybrid Working About NTT DATA
• NTT DATA is a $30+ billion business and technology services leader, serving 75% of the Fortune Global 100. We are committed to accelerating client success and positively impacting society through responsible innovation. We are one of the world s leading AI and digital infrastructure providers, with unmatched capabilities in enterprise-scale AI, cloud, security, connectivity, data centers and application services. Our consulting and industry solutions help organizations and society move confidently and sustainably into the digital future. As a Global Top Employer, we have experts in more than 50 countries. We also offer clients access to a robust ecosystem of innovation centers as well as established and start-up partners. NTT DATA is part of NTT Group, which invests over $3 billion each year in R&D.
• Equal Opportunity Employer
• NTT DATA is proud to be an Equal Opportunity Employer with a global culture that embraces diversity. We are committed to providing an environment free of unfair discrimination and harassment. We do not discriminate based on age, race, colour, gender, sexual orientation, religion, nationality, disability, pregnancy, marital status, veteran status, or any other protected category. Join our growing global team and accelerate your career with us. Apply today.
• Third parties fraudulently posing as NTT DATA recruiters.
• NTT DATA recruiters will never ask job seekers or candidates for payment or banking information during the recruitment process, for any reason. Please remain vigilant of third parties who may attempt to impersonate NTT DATA recruiters whether in writing or by phone in order to deceptively obtain personal data or money from you. All email communications from an NTT DATA recruiter will come from an @nttdata.com email address. If you suspect any fraudulent activity, please contact us.

ประสบการณ์:

3 ปีขึ้นไป

ทักษะ:

Industry trends, SQL, NoSQL, English

ประเภทงาน:

งานประจำ

• 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.

ประสบการณ์:

8 ปีขึ้นไป

ทักษะ:

Tableau, Excel, Industry trends

ประเภทงาน:

งานประจำ

• Work closely with stakeholders to understand business requirements, identify opportunities, and whitespace to commercialize data-driven insights and solutions.
• The candidate will need to lead data analysis and sales pitching for the Annual Media planning process, and have good commercial awareness and communication skills to be able to connect with multiple stakeholders.
• Break down business questions into analytical frameworks, and being able to talk the language of technical teams as well as commercial stakeholders is a key requirement ...
• The candidate will need to lead the development of end-to-end data lead media solutions, and media measurements to keep ahead of the media industry standards and own roadmap to deploy and modernize media measurements across different media platforms, channels, and mechanics.
• Candidates should have some idea of offline and online SSP and DSP platforms and architecture, and market direction to strategically build and improve media solutions, either owned or in partnership with external parties.
• Be proactive and co-own the go to market strategy along with commercial stakeholders for multiple media channels/ and other data commercialization initiatives, and proactively help plan the right focus areas for the team, develop solutions and products to help build the roadmap and pipeline for commercial opportunities.
• Develop and implement predictive models, statistical algorithms, and machine learning models to support business needs.
• Develop and implement data visualizations using PowerBI/ Data Studio/QuickSight/ Tableau/ Excel to effectively communicate insights to stakeholders.
• Collaborate with cross-functional teams, including business analysts, product managers, and developers, to implement data-driven solutions.
• Stay up to date with emerging technologies, marketing technology platforms, omni-channel media and industry trends to identify new opportunities for improving data analytics and applications.
• Mentor and coach junior data scientists and data analysts to develop their skills and expertise.
• Bachelor s or Master s degree in data science/ engineering/ statistics/economics/ computer science/ mathematics, or a related field is a requirement.
• MBA/Business degree with strong background in technical understanding and hands-on expertise is preferable.
• Online media experience will be a strong advantage.
• 8+ years of experience as a data scientist or data analyst in marketing across any industry is a requirement.
• Strong proficiency in Python/ Pyspark/ SQL/ R is a requirement.
• Strong experience in story telling from data, analysis and insight is required.
• Commercial understanding, and having a balanced approach for go-to-market strategy is a requirement.
• Experience with machine learning algorithms and statistical modeling is a bonus.
• Strong communication skills and the ability to collaborate with cross-functional teams is a requirement.
• Proven ability to work independently and manage multiple projects simultaneously is a requirement.
• The candidate must display a high sense of accountability and be agile in handling high value projects, and be able to motivate the team to deliver as a shared objective with the commercial plan.
• Experience in mentoring and coaching junior/ senior DA/ DS is a requirement.

ประสบการณ์:

3 ปีขึ้นไป

ทักษะ:

Financial Reporting, Finance, Compliance

ประเภทงาน:

งานประจำ

• Strategy & Business Design: Define and drive strategy-led transformation across our client enterprises by using deep industry and sector insights, such as market size, competitive landscape, customer segmentation, and technological evolution, to develop corporate and business unit strategies, launch new businesses, RTM strategy, product pricing and segmentation and AI led business models.
• Infrastructure & Real Estate: Advice our clients on complex infrastructure and capital projects, such as building cities, roads, manufacturing facilities, power plants, ...
• Valuation & Modelling: Use advanced modelling and valuation tools to partner with our clients to unlock asset value, drive strategic decisions, and mitigate risks, including acquisition assessments, financial reporting, dispute resolution, and portfolio valuation, ensuring accurate valuations for investment portfolios.
• Mergers & Acquisition: Work with senior executives of our clients on shareholder value, inorganic growth, and portfolio rationalization by offering financial, M&A, and debt & equity advice. Use deep analytics and AI to align deal strategy with corporate goals, maximize benefits, and support integrations, separations, and transformation.
• Restructuring, Turnaround & Cost Transformation: Provide advisory services to lenders, investors, owners and management teams of underperforming and distressed businesses, helping protect and build value while maximizing returns. Focus on structural changes to improve cost savings and margins, developing and implementing customized turnaround strategies for both solvent and insolvent situations.
• Risk, Regulatory & ForensicRegulatory & Financial Risk: Provide risk transformation, data and modeling solutions focusing on some of the unique and complex issues our clients are facing in finance. Advise our clients how to optimize compliance programs, standardize processes and transform compliance to protect their value across the business, while building great visibility, efficiency and confidence for the future.
• Forensic & Financial Crime: Protect brands of companies and communities by proactively advising on exposure to fraud, corruption, money laundering and other financial crime issues. Support our clients to address business disputes, regulatory concerns and actions, or sensitive internal investigations into fraud, corruption and misconduct by using next generation forensic and eDiscovery technology and analytics.
• Enterprise Risk: Provide a strategic and integrated approach to governance, ensuring external and internal corporate governance requirements are met by a Board and Executive leadership, with the skills, capabilities and governance structures in place to deliver strategic client objectives. Help our clients to establish business continuity capability necessary to maintain operations and preserve value in response to crisis.
• Who We re Looking For: We re looking for aspiring professionals who are eager to explore a career in a dynamic and fast-paced professional services environment.
• Eligibility:Early-career professionals, including individuals who have graduated between 2023 and 2026, with less than three years of relevant full-time work experience.
• Available to commence the program on 30 March 2026.
• Degree background in Accounting, Finance, Business, Economics, Computer Science, Engineering, Mathematics, Statistics, or other related fields.
• Ideal candidates will also demonstrate:Strong analytical and problem-solving skills, with the ability to interpret and work with data.
• Excellent communication, teamwork, and adaptability.
• High attention to detail and a strong interest in assurance, risk, and compliance services.
• If you are ready to Amplify your career, apply now! Requisition ID: 111550In 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.