9 Test Data Analysis jobs in Thailand

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.

**Job Details**

POSITION SNAPSHOT

Location: Bangkok
Company: Nestlé
Business Unit/Division: eBusiness
Full-time

A DAY IN A LIFE OF.
- Enable Nestle Thailand's Data transformation journey through robust Data Analytics by executing data intepretation and performance analysis of various, Paid and Non-paid channels such as CRM, Loyalty, Media, Website, and Online Sales data, to generate actionable consumer and business insights to drive marketing efficiencies and sales. The Consumer Data Analytics Manager is responsible in collecting data, working with different data sources to ensure the data is flowing to the database properly. Secondly, ensure data is standardized, organized, and cleansed from multiple data sources across multiple Nestle categories to support data activation in Marketing activities. Lastly, lead and manage database and data visualization agencies to deploy database enhancements, database hygiene and data cleanliness, and dashboards management.- Market Data Analysis:
- Work with Data Activation Manager to scope, design, execute, measure and improve impact of data powered marketing and sales efforts.
- Translate data insights into actions and decision that will drive revenue, brand impact, user growth, engagement and overall marketing and sales effectiveness.

NIM Harmonized Database Analysis and Activation:
- Manage Market harmonized database and multiple data sources (LINE, websites, FB lead generation, Offline, etc.)
- Develop quantitative analysis, tools, ad hoc reports, and models to support marketing decision making. Analysis areas might include areas such as retention, sentiment, lifetime value, messaging, promotions, usage, and engagement
- Design data visualization such as charts, infographic, and dashboards to communicate findings and actionable recommendations to internal stakeholders

Personalized Consumer Experiences (PCE) Activation- Help the organization strategize and deliver data driven personalization initiatives by configuring technology and data integrations.
- Stay current on the latest tools and industry developments across digital marketing analytics as well as the various digital media channels, and provide strategic recommendations when appropriate.

Paid and Non-paid Channels Performance:
- Develop, maintain and adjust forecasting models to ensure accurate prescriptive analysis and planning, and optimal investment allocation, e.g. by ensuring that the relevant formulas are implemented based on historical data, seasonality & business variables
- Analyze the online path to registration and the path to purchase (to improve conversion funnel, and to find winning combinations regarding menu/pages/section/placement/creative) in close collaboration with ecommerce agency partner
- Ensure the tracking of A/B & MV testing scenarios for subscription packages to optimize creative, CTA and conversion
- Advise on possible outcomes before sales decisions are made, by quantifying the effect of future decisions
- Provide insight and actionable recommendations to Head of eBusiness to support in business steering (e.g. to drive acquisition, traffic and sales, both online and offline)

ARE YOU A FIT?**Education**:
- Degree in quantitative field such as Statistics, Mathematics, Econometrics, Applied Analytics, Operations Research, Accounting, Business Management, Economics, or Finance
- Professional experience:
- 3-5 years of experience in analytics, metrics gathering, and reporting and related software
- 1-2 years of experience with A/B and MV testing management
- Proficiency in predictive modeling, forecasting and other statistical analyses and related software
- Proven Project Management experience with complex and multi-stakeholder projects
- Knowledge in the following areas:
- Data Visualization (Tableau, PowerBI, etc.)
- Data Management Platforms (Krux, Adobe Audience Manager, Salesforce Marketing Cloud, etc.)
- Web Analytics Tools (Google Analytics, Adobe Analytics, etc.)
- Testing Tools (Target, Maxymizer, Optimizely, etc.)
- Experience in multi-channel environment

**Job Details**

POSITION SNAPSHOT

Location: Bangkok
Company: Nestlé
Business Unit/Division: eBusiness
Full-time

A DAY IN A LIFE OF.
- Enable Nestle Thailand's Data transformation journey through robust Data Analytics by executing data intepretation and performance analysis of various, Paid and Non-paid channels such as CRM, Loyalty, Media, Website, and Online Sales data, to generate actionable consumer and business insights to drive marketing efficiencies and sales. The Consumer Data Analytics Manager is responsible in collecting data, working with different data sources to ensure the data is flowing to the database properly. Secondly, ensure data is standardized, organized, and cleansed from multiple data sources across multiple Nestle categories to support data activation in Marketing activities. Lastly, lead and manage database and data visualization agencies to deploy database enhancements, database hyg

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 3+ years of relevant consulting experience with focus on advanced analytics and business intelligence or similar roles
- 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 change
- Breadth of technic

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.

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.

JOB TITLE: Data Analytics & Tech Manager - Ice Cream

LOCATION: Thailand

BUSINESS CONTEXT

Customer development is a core thrust of Unilever. The customer development team is broadly split into General Trade and Modern Trade. OOH IC General Trade contributes to 70% of Ice Cream sales nationally. Winning in General trade is crucial in sustaining top line and in ensuring competitiveness through growing market share nationally. This role is part of Ice Cream Business Strategy Development team. This role will be key in driving a data driven sales organization. As part of this role, you will proactively look to identify opportunities for growth, lead a development of D&A products and drive a change management program across stakeholders.

EXPECTED WORK:

- Define and develop Data Strategy for TH OOH CD. Prioritising efforts, and activities on the most impactful business forecasts.
- Lead a development of data tools, dashboard as per business requirement and prioritization.
- Review all current data sources, systems and customer experience touchpoints and make recommendations.
- Be an expert on all local data systems and their associated capabilities to ensure the right data platform to be developed. Support in the deployment of salesforce where required.
- Be an expert in how other systems connect and how data is integrated and transformed to form a true E2E Solution
- Advise and support on enhancement and enrichment of current data sets to deliver insights.
- Manage direct costs in line with budget agreements and establish appropriate control.
- Actively work with key stakeholders on the roll out of new tech, training and setting KPI’s
- Be a single point of contact (SPOC) for reporting, business cases and decision making.
- Partner with Global, IT, D&A and R&D teams to accelerate each workstream / capability and share the roadmaps and status regularly with their network.
- Own the relationship / comms back into global teams in terms of status updates and measures of success.
- Ensure all development and data collection, processes and transfers are legally compliant.
- Providing training and internal change management where required.

QUALIFICATIONS AND EXPERIENCE:

- 5 to 7 years’ experience in Data & Analytics and/or Technical Solution development.
- Robust Project Management skills preferably an experience as Project Manager/PMO is required.
- An effective leader able to clearly explain solutions and benefits and create the right buy-in and influence across a large number of stakeholders.
- Excellent understanding of software development lifecycle, data & analytic, data ingestion and visualization.
- Commercially driven with a clear focus on data and insights
- Strong analytical skills (extra points for SQL / Python knowledge)
- Fully proficient and confident in Excel and excellent attention to detail and takes pride in accuracy, even when working under pressure.
- An open-minded person who enjoys working in an international multi-cultural environment and embracing challenges

Do you thrive in fast-paced environments where you can lead teams, solve problems, and drive continuous improvement through data insights? If so, we want you on our team!
Invenco by GVR is a global leader in integrated payment, point-of-sale, and forecourt automation solutions tailored for the convenience retail industry.
**WHAT YOU WILL DO**
As a Service Desk Supervisor & Data Analyst, you'll lead a high-performing support team while ensuring exceptional service delivery across our 24/7 helpdesk operations. You'll also harness data to identify trends, improve performance, and elevate the customer experience. This is a hybrid role that blends leadership, service management, and analytical insight.
To break it down, your responsibilities will include:
+ Leading and mentoring the service desk team to deliver high-quality support aligned with SLAs and KPIs.
+ Managing the full lifecycle of incidents and service requests-from logging to resolution.
+ Monitoring ticket queues, response times, and resolution metrics to ensure operational excellence.
+ Driving continuous improvement initiatives based on service trends and user feedback.
+ Generating and analyzing reports to identify performance gaps and opportunities.
+ Communicating updates on major incidents, outages, and project rollouts.
+ Maintaining and enhancing the internal knowledge base and documentation.
+ Administering and optimizing the service desk platform and tools.
+ Collaborating with field engineers and off-site helpdesk teams to ensure seamless support coverage
**ABOUT YOU**
At Invenco by GVR, we believe in YOU-your leadership, your analytical mindset, and your ability to make a real impact. We give you the opportunity, accountability, and visibility to thrive.
To be successful in this role, YOU will bring:
+ A bachelor's degree in IT, Computer Science, or a related field (preferred).
+ 5+ years of experience in IT service desk or technical support roles.
+ 2+ years in a leadership or supervisory role within a service desk environment.
+ Strong knowledge of ITIL framework and service management best practices.
+ Experience with service desk platforms, ticketing systems, and CRM tools.
+ Familiarity with BI tools and the ability to generate and interpret reports.
+ Excellent communication and stakeholder management skills.
+ Proven ability to coach, mentor, and develop support teams.
+ Strong analytical and problem-solving skills.
+ Experience in knowledge management and promoting self-service solutions.
+ ITIL Foundation certification (highly desirable).
#LI-HK1
**WHO IS** **INVENCO by GVR**
Invenco by GVR is a dynamic and innovative force in the technology-driven retail solutions. Born from integrating groups within the Gilbarco Veeder-Root network and the strategic acquisition of technology companies worldwide, our foundation is built on tech expertise. With a diverse set of industry leaders including Orpak, Invenco, Insite360 & GVR, we have formed a network of excellence. Our team members are located in over 20 countries and we are proud of the global diversity of our teams.
**WHO IS VONTIER**
Vontier (NYSE: VNT) is a global industrial technology company uniting productivity, automation and multi-energy technologies to meet the needs of a rapidly evolving, more connected mobility ecosystem. Leveraging leading market positions, decades of domain expertise and unparalleled portfolio breadth, Vontier enables the way the world moves - delivering smart, safe and sustainable solutions to our customers and the planet. Vontier has a culture of continuous improvement and innovation built upon the foundation of the Vontier Business System and embraced by colleagues worldwide. Additional information about Vontier is available on the Company's website at .
**At Vontier, we empower you to steer your career in the direction of success with a dynamic, innovative, and inclusive environment.**
Our commitment to personal growth, work-life balance, and collaboration fuels a culture where your contributions drive meaningful change. We provide the roadmap for continuous learning, allowing creativity to flourish and ideas to accelerate into impactful solutions that contribute to a sustainable future.
Join our community of passionate people who work together to navigate challenges and seize opportunities. At Vontier, you are not on this journey alone-we are dedicated to equipping you with the tools and support needed to fuel your innovation, lead with impact, and thrive both personally and professionally.
**Together, let's enable the way the world moves!**
The company in which you have expressed employment interest is a subsidiary or affiliate of Vontier Corporation. The subsidiary or affiliate is referred to as a Vontier Company. Vontier Corporation and all Vontier Companies are equal opportunity employers that evaluate qualified applicants without regard to race, color, national origin, religion, ancestry, sex (including pregnancy, childbirth and related medical conditions), age, marital status, disability, veteran status, citizenship status, sexual orientation, gender identity or expression, and other characteristics protected by law. The "EEO is the Law" poster is available at: Individuals who need a reasonable accommodation because of a disability for any part of the employment process should call 1- or e-mail to request accommodation.