13 Data Analysis jobs in Bangkok

You will work closely with key account managers and team members to continuously improve business models, perform analysis to understand trends, provide actionable insights,.
You will work cross-functional to set up key metrics that help team to track productivity and measure success of initiatives to ensure we're driving towards company OKRs.
The Must-Haves You have a Bachelor's or Master's degree in a related fields (e.g. Business, Analytics, Statistics, Mathematics, Computer Science, Economics).
You have extensive experience with data and how to translate your findings into opportunities and strengths for the team.
You are able to make a logical and astute hypothesis through data to help solve ambiguous problems and providing valuable business insights.
You are able to develop good relations across different teams and communicate ideas effectively and relevantly to different stakeholder groups.
You are proficient in Excel, SQL, experience with Power BI or other data language e.g. Python, R is a plus.
The Nice-to-Haves You have hand-on experiences in e-commerce, food delivery, FMCG industry.
You have experience in business or financial modelling.
Our Commitment We are committed to building diverse teams and creating an inclusive workplace that enables all Grabbers to perform at their best, regardless of nationality, ethnicity, religion, age, gender identity or sexual orientation and other attributes that make each Grabber unique. About Grab Grab is the leading superapp platform in Southeast Asia, providing everyday services that matter to consumers. Today, the Grab app has been downloaded onto millions of mobile devices, giving users access to over 9 million drivers, merchants, and agents. Grab offers a wide range of on-demand services in the region, including mobility, food, package and grocery delivery services, mobile payments, and financial services across 428 cities in eight countries. Join us today to drive Southeast Asia forward, together.

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 a data or an analytical component.
Minimum 4-8 years of working experience in data & analytics or technical implementation experience with data & analytics software, for example: 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).
Strong knowledge of data & analytics concepts to analyse and break down client's complex case scenarios and interpret technical findings which can be clearly communicated to team members and clients.
Strong presentation and communication skills by leading or delivering high impact presentations to senior executives.
Strong project management, interpersonal, influencing, 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).
Desired Languages (If blank, desired languages not specified).
English
Travel Requirements.
Up to 80%
Available for Work Visa Sponsorship.
No
Government Clearance Required.
No
Job Posting End Date.

**Make an impact with NTT DATA**
Join a company that is pushing the boundaries of what is possible. We are renowned for our technical excellence and leading innovations, and for making a difference to our clients and society. Our workplace embraces diversity and inclusion - it's a place where you can grow, belong and thrive.
#LI-APAC
**Workplace type** **:**
**About NTT DATA**
NTT DATA is a $30+ billion trusted global innovator of business and technology services. We serve 75% of the Fortune Global 100 and are committed to helping clients innovate, optimize and transform for long-term success. We invest over $3.6 billion each year in R&D to help organizations and society move confidently and sustainably into the digital future. As a Global Top Employer, we have diverse experts in more than 50 countries and a robust partner ecosystem of established and start-up companies. Our services include business and technology consulting, data and artificial intelligence, industry solutions, as well as the development, implementation and management of applications, infrastructure, and connectivity. We are also one of the leading providers of digital and AI infrastructure in the world. NTT DATA is part of NTT Group and headquartered in Tokyo.
**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.

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).
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.

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

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 to

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.
+ 6 years of experience with cloud native architecture in a customer-facing or support role.
+ Experience with Big Data technologies or concepts such as analytics warehousing, data processing and transformation, data governance, data migration, ETL/ELT, SQL and NoSQL databases, performance and scalability optimization, and batch versus streaming architectures.
+ Experience engaging with, and presenting to, technical stakeholders and executive leaders.
+ Experience in technical sales or consulting in cloud computing, data analytics, or Big Data.
+ Experience working with customer requirements, including breaking them down and designing corresponding technical architectures.
Preferred qualifications:
+ Experience with aspects of cloud computing (infrastructure, storage, platforms and data), and the cloud market, engaged dynamics and customer buying behavior.
+ Experience in delivery of business analytics use cases within the banking or telco industry, from requirements gathering and solution design to implementation and insights generation.
+ Experience with architecture design, implementing, tuning, schema design, query and distributed systems.
+ Experience in building machine learning solutions and leveraging ML architectures such as deep learning, convolutional neural networks (CNNs), and techniques for load shedding and traffic management.
+ Ability to communicate in Thai fluently to support client relationships in this region.
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 Customer Solutions Consultant, you will partner with technical Sales teams as a data analytics subject matter expert to differentiate Google Cloud to our customers. You will help prospective and existing customers and partners understand the power of Google Cloud, develop creative cloud solutions and architectures to solve their business issues, engage in proofs-of-concepts, and troubleshoot any technical questions and roadblocks related to database migrations, data back ends and all aspects of the data lifecycle. You will use your experience and presentation skills to engage with customers to understand their business and technical requirements, and persuasively present practical and useful solutions on Google Cloud. You will require technical, communication and organizational skills.
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.
+ Work with the team to identify and qualify business opportunities related, understand customer objections, and develop the strategy to resolve technical blockers, in relation to aspects of the data lifecycle.
+ Share data analytics to support the technical relationship with customers, including technology advocacy, supporting bid responses, product and solution briefings, proof-of-concept work, and partnering directly with product management to prioritize solutions impacting customer adoption to Google Cloud.
+ Identify business and technical requirements, conduct full technical discovery and architect client solutions to meet gathered requirements.
+ Work directly with Google Cloud products to demonstrate and prototype integrations in customer and partner environments.
+ Prepare and deliver sales messaging in an effort to highlight the Google Cloud value proposition, using techniques such as whiteboard and slide presentations, product demonstrations, white papers and RFI responses.
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: