12 Big Data jobs in Thailand

You will provide integrated data & analytics services to help clients develop or enhance their data & analytics services to help clients develop or enhance their data & analytics practices.
You'll be expected to design and build sustainable and agile data & analytics tools and methodologies in response to changes in client or firm requirements.
You'll also need to make sure the team can deliver high quality data and analytics work and provide constructive and practical advice for clients.
You will also contribute to the firm's intellectual property by promoting the development of tool kits, methodologies, accelerators and training.
Qualifications.
Bachelor's or master's degree in Business Analytics, Computer Science, Engineering, Information Systems or Technologies, Statistics or other related disciplines that possess an analytical component.
1-3 years of experience in developing, analysing, and interpreting data analytics solutions using some of the following software: Analytical software (e.g. R, SAS).
Data visualisation tools (e.g. Qlikview, PowerBI,).
Relational database management tools (e.g. SQL).
Machine learning and AI (e.g. Python).
Ability to analyse and break down complex concepts and interpret technical findings into clear language that can be communicated to team members and clients.
An appreciation for structured methodical research with an understanding of the client's risk, control and business environment.
Strong project management, interpersonal and advisory skills.
Flexibility to travel and work on out of town engagements and overseas assignments.
Clear, articulate, and confident written and verbal communication in Thai and English.
Education (if blank, degree and/or field of study not specified).

**Degrees/Field of Study required**: Bachelor Degree Degrees/Field of Study preferred: Certifications (if blank, certifications not specified).
Required Skills.
Optional Skills.
Desired Languages (If blank, desired languages not specified).
English
Travel Requirements.
Not Specified
Available for Work Visa Sponsorship.
No
Government Clearance Required.
No
Job Posting End Date.

**Job skills required**: Statistics, QlikView, SAS

**Job skills preferred**: Management, Python, SQL

You will provide integrated data & analytics services to help clients develop or enhance their data & analytics services to help clients develop or enhance their data & analytics practices.
You'll be expected to design and build sustainable and agile data & analytics tools and methodologies in response to changes in client or firm requirements.
You'll also need to make sure the team can deliver high quality data and analytics work and provide constructive and practical advice for clients.
You will also contribute to the firm's intellectual property by promoting the development of tool kits, methodologies, accelerators and training.
Qualifications.
Bachelor's or master's degree in Business Analytics, Computer Science, Engineering, Information Systems or Technologies, Statistics or other related disciplines that possess an analytical component.
1-3 years of experience in developing, analysing, and interpreting data analytics solutions using some of the following software: Analytical software (e.g. R, SAS).
Data visualisation tools (e.g. Qlikview, PowerBI,).
Relational database management tools (e.g. SQL).
Machine learning and AI (e.g. Python).
Ability to analyse and break down complex concepts and interpret technical findings into clear language that can be communicated to team members and clients.
An appreciation for structured methodical research with an understanding of the client's risk, control and business environment.
Strong project management, interpersonal and advisory skills.
Flexibility to travel and work on out of town engagements and overseas assignments.
Clear, articulate, and confident written and verbal communication in Thai and English.
Education (if blank, degree and/or field of study not specified).

**Degrees/Field of Study required**: Bachelor Degree Degrees/Field of Study preferred: Certifications (if blank, certifications not specified).
Required Skills.
Optional Skills.
Desired Languages (If blank, desired languages not specified).
English
Travel Requirements.
Not Specified
Available for Work Visa Sponsorship.
No
Government Clearance Required.
No
Job Posting End Date.

**Job skills required**: Statistics, QlikView, SAS

**Job skills preferred**: Management, Python, SQL

Use feedback and reflection to develop self awareness, personal strengths and address development areas.
Delegate to others to provide stretch opportunities, coaching them to deliver results.
Demonstrate critical thinking and the ability to bring order to unstructured problems.
Use a broad range of tools and techniques to extract insights from current industry or sector trends.
Review your work and that of others for quality, accuracy and relevance.
Know how and when to use tools available for a given situation and can explain the reasons for this choice.
Seek and embrace opportunities which give exposure to different situations, environments and perspectives.
Use straightforward communication, in a structured way, when influencing and connecting with others.
Able to read situations and modify behavior to build quality relationships.
Uphold the firm's code of ethics and business conduct.
Education (if blank, degree and/or field of study not specified).
**Degrees/Field of Study required**: Degrees/Field of Study preferred: Certifications (if blank, certifications not specified).
Required Skills.
Optional Skills.
Desired Languages (If blank, desired languages not specified).
Travel Requirements.
Not Specified
Available for Work Visa Sponsorship.
No
Government Clearance Required.
No
Job Posting End Date.

At EY, you’ll have the chance to build a career as unique as you are, with the global scale, support, inclusive culture and technology to become the best version of you. And we’re counting on your unique voice and perspective to help EY become even better, too. Join us and build an exceptional experience for yourself, and a better working world for all.

**Technology Consulting - Data Analytics Engineer**

EY delivers unparalleled tech consulting services in data strategy, big data engineering, business intelligence, digital, machine learning and Artificial Intelligence. We help clients understand, architect, select and implement leading-edge solutions to drive their business. We leverage leading practices and a high degree of business acumen that has been compiled over years of experience to deliver the highest level of execution and satisfaction for our clients. Our approach is focused on analysing business needs and making sure that the solutions delivered meet our client’s goals.

**The opportunity**

Expand your horizons solving real-world challenges with complex data sets and advanced-analytics tools. Work with exceptional colleagues and clients to build analytics capabilities that break new ground, transform industries, and shape markets. You will help clients in developing tactical strategies and roadmaps for designing and building data, analytics, and AI solutions that will enable better business outcomes for clients. You will work across client business and technology stakeholders to provide strategic advice, determine solution requirements and success criteria and rationalize architecture and operating decisions. You will manage teams that will clean, transform, and aggregate data; compile and install database systems; write complex queries; scale to multiple machines; and put disaster-recovery systems in place—all with a sharp eye on what is important for the client. This is a high growth, high visibility area with plenty of opportunities to enhance your skillset and build your career.

**Your key responsibilities**

As an Data Analytics, you will be focusing on translating client’s business ambitions and objectives into detailed target states and tactical roadmaps, leading more junior team members, and working with a wide variety of clients to deliver technology consulting services. You will be the go-to resource for understanding our clients’ problems through data gathering and analysis. You will use your background in big-data problem solving to collect, analyze, and present findings and solutions.

**Skills and attributes for success**
- Translating business requirements to technical solutions leveraging strong business acumen.
- You will be a core member of the EY Microsoft Data and AI team, responsible for extracting large quantities of data from client’s IT systems, developing efficient ETL and data management processes, and building architectures for rapid ingestion and dissemination of key data.
- Extremely flexible and experience managing multiple tasks and priorities on deadlines
- Staying abreast of current business and industry trends relevant to the client's business
- Monitoring progress, managing risk, and ensuring key stakeholders are kept informed about progress and expected outcomes.
- Understanding customers’ overall data estate, IT and business priorities and success measures to design implementation architectures and solutions.
- Strong team collaboration and experience working with remote teams.
- Working on large-scale client engagements. Fostering relationships with client personnel at appropriate levels. Consistently delivering quality client services. Driving high-quality work products within expected timeframes and on budget.
- Demonstrated significant professional experience of commercial, strategy and/or research/analytics interacting with senior stakeholders to effectively communicate insights.
- Execute on building data solutions for business intelligence and assist in effectively managing and monitoring the data ecosystem of analytics, data lakes, warehouses platforms and tools
- Provide directional guidance and recommendations around data flows including data technology, data integrations, data models, and data storage formats

**To qualify for the role, you must have**
- Bachelor’s degree, or MS degree in Business, Economics, Technology Entrepreneurship, Computer Science, Informatics, Statistics, Applied Mathematics, Data Science, or Machine Learning.
- Minimum of 0-1 years of relevant consulting experience with focus on advanced analytics and business intelligence or similar roles. New graduated are welcome!
- Communication and critical thinking are essential, must be able to listen and understand the question and develop and deliver clear insights
- Experience communicating the results of analysis to both technical and non-technical audiences
- Independent and able to manage and prioritize workload
- Ability to adapt quickly and positively t

KPMG Thailand's Forensic Technology Advisory professionals assist our clients by performing queries and analysis of large sets of data, employing advanced data analysis techniques to uncover anomalies and unusual patterns in the data to help our clients address concerns of potential fraud, misconducts as well as regulatory. We are looking for someone to join our team to focus on the following:
**Responsibilities**
- Participate in discussions and interface with various client's business departments to gather, define and document requirements, design and develop analysis solutions based on underlying data sources.
- Responsible for fully understanding business processes and proactively seek clarification of requirements and direction and takes responsibility when needed.
- Leverage data engineering and data science to provide analytical insights, contribute to and help deliver data cleaning/restructuring, statistical modelling, machine learning and detection rule implementation in partnership with forensic accounting and other cross-functional teams.
- Refreshing and optimizing existing analysis based on internal and external feedback.
- Think out-of-the-box to design visualization solutions that meet or exceed team expectations insights and set anomaly alerts according to monitoring rules.
- Self-starting, pro-active team player that is experienced delivering technology enabled solutions
- Support the project manager by communicating the progress and updating any issues of all assignments.
- Support internal/external knowledge sharing, practice development and to pursue opportunities in collaboration with global colleagues.
- Support other forensic team members including fraud investigation, eDiscovery and cyber incident response.

**Qualifications**
- 1-4 years of strong experience in data analysis and/or data science (4-6 years for Assistant Manager).
- Bachelor's degree or higher in advanced field of technology or other relevant majors such as statistics, computer science, financial engineering, etc.
- Proficiency in data analysis and statistical analysis tools such as SQL, R, Python and Excel.
- Proficiency in data science skills and common statistical techniques (such as regression, clustering/profiling, sampling and social network analysis).
- Experience with business intelligence systems, such as Power BI and Tableau as well as internal audit process, transaction monitoring process and/or cyber threat hunting is a plus.
- Familiarity with forensic imaging tools (EnCase, FTK, Cellebrite, Paladin, etc.) and eDiscovery tools (Intella, NUIX, Relativity, etc.) is a plus.
- Capable of working independently to solve problems under deadlines and to manage multiple projects/priorities under time constraints.
- Excellent communication skills with the ability to explain complex technical analysis to a non-technical audience.
- Ability to independently undertake moderate domestic/overseas travel with short notice.
- Proficiency in spoken and written English and Thai.
- Beneficial certificates: Data Engineer or Machine Learning Engineer.

Description
The Amazon Web Services Professional Services (ProServe) team is seeking a skilled Delivery Consultant to join our team at Amazon Web Services (AWS). In this role, you'll work closely with customers to design, implement, and manage AWS solutions that meet their technical requirements and business objectives. You'll be a key player in driving customer success through their cloud journey, providing technical expertise and best practices throughout the project lifecycle.
Possessing a deep understanding of AWS products and services, as a Delivery Consultant you will be proficient in architecting complex, scalable, and secure solutions tailored to meet the specific needs of each customer. You'll work closely with stakeholders to gather requirements, assess current infrastructure, and propose effective migration strategies to AWS. As trusted advisors to our customers, providing guidance on industry trends, emerging technologies, and innovative solutions, you will be responsible for leading the implementation process, ensuring adherence to best practices, optimizing performance, and managing risks throughout the project.
The AWS Professional Services organization is a global team of experts that help customers realize their desired business outcomes when using the AWS Cloud. We work together with customer teams and the AWS Partner Network (APN) to execute enterprise cloud computing initiatives. Our team provides assistance through a collection of offerings which help customers achieve specific outcomes related to enterprise cloud adoption. We also deliver focused guidance through our global specialty practices, which cover a variety of solutions, technologies, and industries.
Key job responsibilities
As an experienced technology professional, you will be responsible for:
1. Designing and implementing complex, scalable, and secure AWS solutions tailored to customer needs
2. Providing technical guidance and troubleshooting support throughout project delivery
3. Collaborating with stakeholders to gather requirements and propose effective migration strategies
4. Acting as a trusted advisor to customers on industry trends and emerging technologies
5. Sharing knowledge within the organization through mentoring, training, and creating reusable artifacts
About the team
About AWS:
Diverse Experiences: AWS values diverse experiences. Even if you do not meet all of the preferred qualifications and skills listed in the job below, we encourage candidates to apply. If your career is just starting, hasn't followed a traditional path, or includes alternative experiences, don't let it stop you from applying.
Why AWS? Amazon Web Services (AWS) is the world's most comprehensive and broadly adopted cloud platform. We pioneered cloud computing and never stopped innovating - that's why customers from the most successful startups to Global 500 companies trust our robust suite of products and services to power their businesses.
Inclusive Team Culture - Here at AWS, it's in our nature to learn and be curious. Our employee-led affinity groups foster a culture of inclusion that empower us to be proud of our differences. Ongoing events and learning experiences, including our Conversations on Race and Ethnicity (CORE) and AmazeCon (gender diversity) conferences, inspire us to never stop embracing our uniqueness.
Mentorship & Career Growth - We're continuously raising our performance bar as we strive to become Earth's Best Employer. That's why you'll find endless knowledge-sharing, mentorship and other career-advancing resources here to help you develop into a better-rounded professional.
Work/Life Balance - We value work-life harmony. Achieving success at work should never come at the expense of sacrifices at home, which is why we strive for flexibility as part of our working culture. When we feel supported in the workplace and at home, there's nothing we can't achieve in the cloud.
Basic Qualifications
-5+ years of experience with direct customer (internal or external) interaction with responsibilities in AI / ML / GenAI solutions design, architecture and implementation (AmazonQ, Bedrock, Sagemaker as a Product and Data Governance including Data quality and controls, etc.
-A minimum of 3 years working experience in ASEAN region, and ability to travel to customer locations in ASEAN as needed for pre-sales and delivery activities.
-Ability to think strategically about business, solutions and technical challenges.
Preferred Qualifications
-5+ years Technical experience preferred, knowledge of Data Technology stack of AWS and integration with Machine Learning and Generative AI
-Industry experience with key vertical markets such as Financial Sector, Telecom, and Retail.
-AWS Experience and Certifications, including implementation of cloud-based Data and Analytics solutions.
-Ability to understand and educate customers on cloud computing technologies and workload transition challenges.
Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit for more information. If the country/region you're applying in isn't listed, please contact your Recruiting Partner.

Google will be prioritizing applicants who have valid working rights in Thailand and do not require Google's sponsorship of a visa.
**Minimum qualifications:**
+ Bachelor's degree or equivalent practical experience.
+ 10 years of experience in software sales or account management.
+ Experience promoting analytics, data warehousing, or data management software.
+ Ability to communicate fluently in English and Thai to support APAC customers.
**Preferred qualifications:**
+ Experience with business intelligence front-end, data analytics middleware, or back-end data warehouse technologies.
+ Experience working with sales engineers and customer technical leads to build business cases for transformation and accompanying plans for implementation.
+ Understanding of data analytics technology stack (e.g., Hadoop/Spark, Columnar data warehouses, data streaming, ETL and data governance, predictive analytics, data science framework, etc.).
+ Understanding of Google Cloud Data and Analytics offerings (e.g., BigQuery, Looker, Dataproc, Pub/Sub, etc.).
+ Ability to engage and influence executive stakeholders as a business advisor and thought leader in data and analytics.
+ Excellent business acumen and problem-solving skills.
As a member of the Google Cloud team, you inspire leading companies, schools, and government agencies to work smarter with Google tools like Google Workspace, Search, and Chrome. You advocate for the innovative power of our products to make organizations more productive, collaborative, and mobile. Your guiding light is doing what's right for the customer, you will meet customers exactly where they are at and provide them the best solutions for innovation. Using your passion for Google products, you help spread the magic of Google to organizations around the world.
In this role, you will build an understanding of our customers businesses and bring expertise to executive-level relationships to help them deliver their strategies. You will leverage expertise promoting data analytics and work with account teams, customer engineering, and partners to ensure customer outcomes.
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.
**Responsibilities:**
+ Calibrate business against the objectives and results, forecast and report the state of the business for the assigned territory.
+ Build and maintain executive relationships with customers as the data analytics subject matter expert, influencing direction.
+ Develop and execute account plans, including a broader enterprise plan across industries. Focus on building accounts.
+ Assist customers in identifying use cases suitable for Google Cloud Data and Analytics solutions, articulating solution differentiation and business impacts.
+ Work with Google account and technical teams to develop and drive pipelines, and provide expertise. Develop Go-To-Market (GTM) efforts with Google Cloud Platform partners.
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 and If you have a need that requires accommodation, please let us know by completing our Accommodations for Applicants form:

Obtaining insights from raw data to help inform decision-making in Shop in shop business.
Studying in feasibility for business expansion as competitor analysis, business evaluation, financial projection and more.
Maintain sales, channel, customer and category performance dashboard which providing issues, opportunities and new insights for Shop in Shop and CPFM.
Monitoring product ranges and data to see the potential opportunity for growing Shop in Shop expansion.
Managing projects and coordinating with other related department to make it happen such as Operation, IT, Finance, etc.
Revising lease agreement and proposing to management team.
Supporting and contributing Sales strategy development for find new opportunities.
Provide the Trend and Forecast as Business Analyst and provide recommendation to team.
Provide Business case of SIS New store expansion.
Ensure margin & sales transaction are aligned and accurate.
Performing to lead special project/report as required (Ad-hoc).

**Qualifications**:
Bachelor degree or higher in Business Analysis, Statistics, Economics, Engineering and Management or any related fields.
Having at least 5 years of experiences in Business Analysis and Planning/ Business Execution/ PMO with retail & Space Management/ dynamic business background would be a BIG plus.
Professional Project/ Program Management.
**Data Analytics**: Customer/ Sales/ Financial Data.
Advance in Excel is needed.
Effective Stakeholder Management.
Conceptual Thinking.
Strategic Thinking and Management.
SQLs usage skill is a plus.
Power BI usage skill is a plus.
Lotus's
Ek-Chai Distribution System Co., Ltd.
Buengkum, Bangkok 10230, Thailand.
**Job skills required**: Finance, Excel, Statistics
**Job skills preferred**: Power BI

Description
AWS Infrastructure Services owns the design, planning, delivery, and operation of all AWS global infrastructure. In other words, we're the people who keep the cloud running. We support all AWS data centers and all of the servers, storage, networking, power, and cooling equipment that ensure our customers have continual access to the innovation they rely on. We work on the most challenging problems, with thousands of variables impacting the supply chain - and we're looking for talented people who want to help.
You'll join a diverse team of software, hardware, and network engineers, supply chain specialists, security experts, operations managers, and other vital roles. You'll collaborate with people across AWS to help us deliver the highest standards for safety and security while providing seemingly infinite capacity at the lowest possible cost for our customers. And you'll experience an inclusive culture that welcomes bold ideas and empowers you to own them to completion.
Amazon is looking for an energetic, detail-oriented individual to join our Data Center Engineering Operations Team. This committed group works to maintain the critical physical infrastructure that supports Amazon Web Services. Specifically, this team works to ensure that the data center's MEP operates at 100% availability while maintaining first-class customer service to the teams and groups within the data centers
The Data Center Engineering Operation Senior Engineer is responsible for ensuring that all electrical, mechanical, and fire/life safety equipment within the data center is operating within contract parameters within third party Colocation facilities. Often this will be including risk management and mitigation, corrective and preventative maintenance of critical infrastructure, vendor management and metric reporting.
Key job responsibilities
- Establish performance benchmarks, conduct analysis, and prepare reports on all aspects of the critical facility operations and maintenance.
- Responsible for the on-site management of sub-contractors and vendors, ensuring that all work performed is in accordance with established practices and procedures.
- Manage relationship with third party Colocation providers and their facility staff.
- Responsible for the operation of and management of both routine and emergency services on a variety of critical systems such as: switchgear, generators, UPS systems, power distribution equipment, chillers, cooling towers, computer room air handlers, building monitoring systems, etc.
- Data Center capacity planning and reporting.
- Assist in the design and build out of new facilities.
- May assist in projects to increase current Facility efficiency.
- Work with IT managers and other business leaders to coordinate projects, manage capacity, and optimize plant safety, performance, reliability and efficiency.
- Deliver quality service and ensure all customer demands are met.
- Procurement for DCEO related expenditure.
- Responsible for asset and inventory management.
About the team
Diverse Experiences
AWS values diverse experiences. Even if you do not meet all of the qualifications and skills listed in the job description, we encourage candidates to apply. If your career is just starting, hasn't followed a traditional path, or includes alternative experiences, don't let it stop you from applying.
Why AWS
Amazon Web Services (AWS) is the world's most comprehensive and broadly adopted cloud platform. We pioneered cloud computing and never stopped innovating - that's why customers from the most successful startups to Global 500 companies trust our robust suite of products and services to power their businesses.
Work/Life Balance
We value work-life harmony. Achieving success at work should never come at the expense of sacrifices at home, which is why flexible work hours and arrangements are part of our culture. When we feel supported in the workplace and at home, there's nothing we can't achieve in the cloud.
Inclusive Team Culture
AWS values curiosity and connection. Our employee-led and company-sponsored affinity groups promote inclusion and empower our people to take pride in what makes us unique. Our inclusion events foster stronger, more collaborative teams. Our continual innovation is fueled by the bold ideas, fresh perspectives, and passionate voices our teams bring to everything we do.
Mentorship and Career growth
We're continuously raising our performance bar as we strive to become Earth's Best Employer. That's why you'll find endless knowledge-sharing, mentorship and other career-advancing resources here to help you develop into a better-rounded professional.
Basic Qualifications
- 4+ years of relevant work experience in maintaining electrical, mechanical, HVAC, fire systems experience in a data center or critical space facility
- Ability to participate in a 24 x 7 rotating shift roster.
- Understanding of the electrical and mechanical systems used in a data center environment, including but not limited to DRUPS, Transformers, Generators, Switchgear, UPS systems, ATS/STS units, PDUs, Chillers, AHUs and CRAC units.
Preferred Qualifications
- Bachelor's Degree in either Electrical Engineering, HVAC, Mechanical Engineering or relevant technical (military/trade school) degree and relevant experience in a critical environment.
- Understanding of the electrical and mechanical systems used in a data center environment, including but not limited to DRUPS, Transformers, Generators, Switchgear, UPS systems, ATS/STS units, PDUs, Chillers, AHUs and CRAC units.
- Experience in management of vendors/contractors performing construction, maintenance and upgrading works in large-scale critical environment
Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit for more information. If the country/region you're applying in isn't listed, please contact your Recruiting Partner.