15 Data Analytics jobs in Thailand

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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.

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.

bachelor's degree in MIS, Statistic.
2-3 years full-time work experience.
Run machine learning tests and experiments.
Study and transform data science prototypes.
Research and implement appropriate ML algorithms and tools.
Select appropriate datasets and data representation methods.
Run machine learning tests and experiments.
Perform statistical analysis and fine-tuning using test results.
Train and retrain systems when necessary.
Good knowledge and experience with Python and packages commonly used for Machine Learning and Deep Learning or other programming languages.
Developing and maintaining dashboards to visualize data utilizing Power BI.

**Qualifications**:
Minimum of bachelor's degree in MIS, Statuistic, Computer Science, IT or related field.
2-4 years full-time work experience.

**Job skills required**: Python, Research, Statistical Analysis

**Job skills preferred**: Power BI

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.
**Responsibilities:**
+ 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:

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:

Our client is a Swiss Company that provides security inks for currencies and sensitive documents, including identity documents, passports, transport, and lottery tickets.
- Creating, maintaining, updating, optimizing, deploying, and monitoring BI solutions to support customer strategies related to risk profiling and law enforcement.
- Being responsible for the integration and analysis of data from multiple sources.
- Managing the development of activities including technical analyses, estimates of effort, the definition of scope and objectives, and coordination with other technical teams.
- Ensuring compliance with customer requirements and alignment with business strategy.
- Ensuring compliance with policies related to data security and country-specific regulatory compliance procedures.
- Developing the test plans and verifying test results.
- Identifying new technical challenges and proposing solutions, enhancements, and design improvements.
- Preparing regular activity reports.
- Collaborating with teamwork and exchanging knowledge in a geographically distributed and multicultural environment is expected.

**Qualifications**:

- 5 years of experience in business intelligence and reporting solutions.
- Strong analytical, data modeling, and problem-solving skills.
- Good English communication skills.
- Results-oriented and goal-driven personality.
- BI Tool: Power BI or Tableau.
- Strong in managing databases.

**Benefits**:

- Working Mon-Fri
- Health Insurance
- Annual leave 11 Days
- Dental allowance
- Bonus Fixed
- Training allowance

Job ID
48486

Business
IT, Software, Telecommunications

Job Detail
- Analyze data using Excel, SQL, and other tools as required.
- Using data visualization dashboards and analyze with Power BI, Tableau or Google Data Studio.
- Work with internal stakeholders to understand their data needs and support the use of data in decision making.
- Develop reports and presentations to communicate insights and recommendations.
- Identify trends and insights in data to support business decisions.
- Collaborate with cross-functional teams to ensure data quality and consistency.

Salary

35,000 - 50,000 (THB)

Location
Bangkok

Required work
experience
- Male or Female, age 25-35 years old
- Bachelor's degree in Computer Science, Information Systems, Mathematics, Economics, or a related field.
- Strong experience with Excel or SQL.
- Experience with data visualization tools and development such as PowerBI, Tableau or Google Data Studio is an advantage.
- Strong analytical and problem-solving skills.
- Ability to work independently and in a team environment.