What Jobs are available for Team Data in Thailand?

Job Description

• Collect, clean, and validate data from multiple sources such as production systems, equipment logs, and ERP databases.
• Analyze production, inventory, and logistics data to identify inefficiencies and forecast demand.
• Develop dashboards and performance reports for production, quality, and inventory.
• transforming manufacturing, supply chain, and commercial data into strategic insights.
• Ensure data accuracy, integrity, and security across all operational systems.

Qualification

• Bachelor's degree in Data Analytics, Data Science, Computer Science, or related field.
• Minimum 3 years of experience in data analysis .
• Strong proficiency in SQL, Excel, Tableau, and Power BI.
• Good command of English with TOEIC score 550 or similar English proficiency test result.

As a Data Management Specialist within our dynamic Supply Chain team, you'll own and optimize the Procure-to-Pay (P2P) process, ensuring seamless data flow and operational excellence, while supporting master data set-up for new product launches and market expansions, directly contributing to our regional success story. Join us and be part of an agile team driving efficiency, innovation and impact across the AMEA region

A Taste of What You'll Be Doing

P2P Concierge

• Support new vendor registration and system set-up
• Create/submit PRs, ensure timely approval
• Perform goods receipt and resolve GRIR issues
• Assist with vendor info verification and audit requests
• Manage KBuy and SAP helpdesk tasks (release strategy, purchasing group/ org)
• Close aged/delivered POs with BU/KBuy team
• Handle requisitioner queries, courier coverage, pantry orders for Singapore office
• Participate in continuous improvement and business meetings

MASTERDATA Management

• Initiate and maintain master data records per company policy
• Perform data quality checks and corrections
• Enable system readiness for new product launches
• Maintain repository of current product configurations

We're Looking for Someone With

• 2–5 years in data management
• SAP and P2P systems knowledge preferred
• Experience working with regional/global teams
• Effective virtual communication
• Skilled in reporting/data management tools and SAP interfaces
• Work is performed in typical office environment including normal work activities
• Remote/hybrid work allowed
• Proficient in English

What's Next

After you apply, your application will be reviewed by a real recruiter, so it may take us a few weeks to get back with you by email or phone. Visit our How We Hire page to get insights into our hiring process and more about what we offer.

If you join our team, you'll be rewarded for the difference you make. Our comprehensive benefits offer you the support you need through your life events, big or small. Visit our benefits page & be sure to ask your recruiter for more specific information.

Get to Know Us

At Kellanova, we are driven by our vision to be the world's best-performing snacks-led powerhouse, unleashing the full potential of our differentiated brands and our passionate people. Our portfolio of iconic, world-class brands include Pringles, Cheez-It, Pop-Tarts, MorningStar Farms, Special K, Krave, Zucaritas, Tresor, Crunchy Nut, among others.

Our focus on Equity, Diversity, and Inclusion (ED&I) enables us to build a culture of belonging where all employees have a place at the table and are inspired to share their passion, talents and ideas to work.

Mars has agreed to acquire Kellanova in a combination that will shape the future of snacking The transaction is anticipated to close within the first half of 2025 (subject to Kellanova shareowner approval and other customary closing conditions, including regulatory approvals). The companies remain separate until closing.

You can learn more at , and our hiring teams will be happy to discuss further questions if your application advances in the hiring process.

About Kellanova AMEA

Home to 75% of the world's population and contributing to 50% of the global GDP, the AMEA region represents a vast and promising market for Kellanova. This region provides an extensive geographic presence and holds substantial growth potential, especially considering our diverse portfolio spanning multiple categories.

AMEA is strategically positioned for growth, positioning itself to become a prominent player in the snacking industry while maintaining a steady trajectory of cereal growth. As we expand our product offerings, reach new geographic horizons, and increase investments in emerging markets within AMEA, you have the opportunity to become an integral part of a dynamic and forward-thinking organization. We are deeply committed to investing in our people and enhancing our capabilities to deliver value to our stakeholders.

The best brands. The best people. The best you.

Kellanova is an Equal Opportunity Employer that strives to provide an inclusive work environment, a seat for everyone at the table, and embraces the diverse talent of its people. All qualified applicants will receive consideration for employment without regard to race, color, ethnicity, disability, religion, national origin, gender, gender identity, gender expression, marital status, sexual orientation, age, protected veteran status, or any other characteristic protected by law. For more information regarding our efforts to advance Equity, Diversity & Inclusion, please visit our website here.

Deadline for Applications

September 30, 2025

Hardship Level (not applicable for home-based)

A (least hardship)

Family Type (not applicable for home-based)

Family

Staff Member / Affiliate Type

Internship

Target Start Date

Terms of Reference

Position title: Data Management Intern

Duty station: UNHCR Thailand Multi-country Office, Bangkok, Thailand

Duration: From 1 October 2025 to 31 December 2025 (Tentative)

Direct Supervisor: Senior Data Management Assistant

1. General Background

The Data Management intern will support in the coordination of data management efforts across UNHCR Thailand's operations for Urban and Camps. In Thailand, data is at the heart of evidence-based planning, protection, and service delivery for persons of concern (PoCs), including refugees, asylum seekers, stateless persons, and host communities.

A Data Management Intern supports this critical function by ensuring timely data entry, integrity, and dissemination—contributing to UNHCR's mandate to deliver data-driven assistance. Structure, standards, and systems (such as proGres v4) are employed to compile, analyze, and visualize data to inform decision-making.

The role has strong emphasis on supporting operational data (including individual-level data), conducting data quality assurance, promoting responsible data sharing, and advancing data-driven decision-making across the office and inter-agency platforms.

1. Purpose and Scope of Assignment

2. Generate statistical and summary reports, tables, charts, and infographics to support internal and external information needs.

3. Ensuring that electronic files are properly categorized, securely stored, and accessible in accordance with UNHCR's data protection policies and confidentiality standards.
4. Supporting the transition from paper-based documentation to digital formats, ensuring compliance with UNHCR's digital archiving and retention procedures.
5. Assisting in the organization, scanning, uploading, and digital filing of documents, including registration forms, RSD/RST decisions, case correspondence, and protection assessments, using established naming conventions and folder structures.
6. Performing data cleaning, validation, and quality control checks in coordination with the Information Management Officer or Registration team.
7. Collaborate with Protection and other Field Units to respond to routine data queries and support evidence-based planning.

8. Undertake other data management-related tasks as required.

9. Qualifications and Experience

Essential

Knowledge in data management and data analysis to support policy formulation and implementation.

Desirable

Demonstrated knowledge in the digitization of physical files, including scanning, labeling, organizing, and uploading documents into structured electronic filing systems (e.g., SharePoint).

Education

• The candidate must be a recent graduate (those persons who completed their studies within one year of applying) or current student in a graduate/undergraduate school programme from a university or higher education facility accredited by UNESCO. The candidate must have completed at least two years of undergraduate studies in a field of information technology, Information Management, Computer Science, Data Science, Statistics or relevant of interest to the work of the Organization.

Competencies

• Strong analytical and organizational skills
• Effective communication and teamwork abilities
• Technological awareness and adaptability
• Commitment to UNHCR core values: professionalism, integrity, and respect for diversity

Languages

• Fluency in English

Remark : Please note that candidates who have immediate relatives (father, mother, son, daughter, brother or sister) working as staff members of UNHCR are not eligible to apply.

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Skills

Education

Certifications

Work Experience

Other information

This position doesn't require a functional clearance

Remote

No

As a Data Management Consultant, you'll play a key role in ensuring the quality and reliability of our clients' data. You will collaborate across multiple teams — from Fund Managers to Risk, Middle Office, and Reporting — to keep data accurate, accessible, and insightful.

• Ensure data availability and accuracy in client databases.
• Monitor and validate data flows, identifying and resolving issues.
• Set up automated controls and checks to enhance data quality.
• Work with stakeholders to understand and deliver on data needs.
• Review and standardize procedures to continuously improve efficiency.
• Contribute to global knowledge-sharing and best practices.

• Experience in data management, database handling, or reconciliations.
• Strong interest in Data and Asset Management.
• Skills in VBA or SQL.
• Basic knowledge of financial products (Derivatives, Equities, Bonds).
• Analytical, detail-oriented, and well-organized.
• Great communication and stakeholder management skills.
• A team player with motivation and eagerness to learn.

Competitive compensation & medical insurance

Full training from senior consultants

A friendly, open, and flexible workplace

Work-life balance & team events

Be part of a growing international team (20 in Asia, 400+ worldwide)

Founded in Paris in 1998, Sedona is an IT consulting and management firm serving global clients in finance, e-commerce, retail, and luxury industries. With offices in Paris, Geneva, Hong Kong, Singapore, and Bangkok, we help businesses simplify systems, harness data, and innovate with new technologies.

Learn more about us: Sedona LinkedIn

Overview:

Data scientists are specialists who turn raw data into valuable insights and actionable decision. They use their analytical skills, programming skills, statistical expertise, and knowledge of machine learning to build advance analytics data product that help the company make better decisions, improve products, and understand customers.

Detailed Responsibilities:

 Analyze complex data sets using statistical methods and machine learning algorithms to uncover actionable patterns, trends, and insights that drive business outcomes.

Clean, preprocess, and transform raw data into usable formats for analysis and modeling.

uild predictive and optimization models to support strategic decision-making and improve operational efficiency.

esign and execute scientific experiments, including measurement and validation of analytical models.

evelop compelling data visualizations and dashboards to communicate findings effectively to stakeholders at all levels.

resent insights and recommendations clearly to both technical and non-technical audiences, ensuring alignment with business objectives.

ollaborate closely with cross-functional teams to translate data-driven insights into actionable business strategies.

reate comprehensive reports, presentations, and storytelling materials to document analyses and support organizational learning.

ducate and support stakeholders in understanding advanced analytics techniques and their applications within the manufacturing context.

aintain key artefacts such as sprint backlogs, experiment logs, data sets, notebooks, model artifacts, visualizations, and research documentation in alignment with Agile methodologies.

Skill Requirements

achelor's or Master's degree in Computer Science, Statistics, Mathematics, Data Science, Engineering, or a related field.

t least 5+ Yrs proven experience as a Data Scientist, Data Analyst, or in a similar analytical role, preferably within a manufacturing or industrial environment.

trong expertise in statistical analysis, data mining, and machine learning techniques.

roficiency in programming languages such as Python or R, and experience with data science libraries and frameworks.

ands-on experience with data cleaning, preprocessing, and feature engineering.

dvanced skills in data visualization tools (e.g., Tableau, Power BI, Matplotlib, Seaborn) to present complex findings effectively.

olid understanding of experiment design and scientific measurement methodologies.

xcellent communication skills, with the ability to explain complex concepts to diverse

xperience working in Agile environments and familiarity with Agile practices.

Other Requirements:

xperience with big data technologies (e.g., Hadoop, Spark) and cloud platforms (e.g., AWS, Azure, GCP) is advantageous.

elevant industry certifications in data science, machine learning, or analytics are a plus.

nowledge of manufacturing processes and operational excellence frameworks will be highly regarded.

emonstrated ability to work effectively in multicultural and geographically dispersed teams.

Work Set-up: Hybrid (1-day WFH)

Onsite Location: Soi Sukhapiban, Dokmai, Bangkok

Cathcart Technology is partnering with a global leader in advanced manufacturing solutions to hire a Data Science Manager. This is a fantastic opportunity to build and lead a new Data Science team that will drive predictive quality, yield optimization, and defect reduction across large-scale production operations.

What you'll do

• Lead the development of advanced statistical models & predictive analytics to enhance manufacturing quality and efficiency.
• Apply DOE, RSM, SPC, and machine learning methods to prevent defects and optimize processes.
• Collaborate with engineering and operations teams to translate complex data science into real-world impact.
• Build, mentor, and manage a high-performing team of 4–5 data scientists and analysts.
• Define and execute the long-term data science strategy for manufacturing excellence.

What they're looking for

• 5+ years' experience in data analytics, statistical modelling, or applied data science.
• Proven leadership and team management experience.
• Advanced knowledge of multivariate analysis, Bayesian methods, hypothesis testing, and experimental design.
• Strong programming skills in Python/R and SQL, plus hands-on experience with ML frameworks (scikit-learn, TensorFlow, PyTorch).
• Proficiency with statistical tools such as JMP or Minitab.
• Excellent communication skills and ability to work with cross-functional teams.
• Good English (spoken and written).

Why apply to this opportunity

This role puts you at the centre of transforming how data science powers world-class manufacturing quality. You'll have the chance to:

• Build and shape a new data science team.
• Work directly with global engineering leaders.
• Deliver cutting-edge, impactful solutions at scale.

Please apply now or contact Dollada (Toon) at for a confidential discussion.

Responsibilities

• Identify valuable data sources and automate data collection processes
• Collect, clean, and validate structured and unstructured data from multiple internal and external systems
• Extract, transform, and engineer features from diverse data sources (ERP, IoT, finance, external datasets)
• Analyze large datasets to uncover trends, patterns, and actionable insights
• Design, build, and deploy predictive models, machine learning algorithms, and AI-driven solutions
• Improve performance through feature engineering, optimization, and ensemble modeling
• Monitor model accuracy, fairness, and drift; retrain and recalibrate as needed
• Present findings using effective data visualization techniques to support decision-making
• Propose data-driven solutions and strategies to address complex business challenges
• Collaborate closely with IT, engineering, and product development teams to integrate solutions into business operations

Qualifications

• Bachelor's or Master's degree in Data Science, Statistics, Applied Mathematics, Computer Science, or a related field
• Strong programming skills in Python, R, and SQL
• Knowledge of Machine Learning, Data Mining, and Data Visualization
• Experience with data visualization tools (Tableau, Power BI, matplotlib, seaborn)
• Experience in data mining
• Familiarity with cloud platforms (AWS, Azure, GCP)
• Problem-solving skills
• Strong communication and collaboration abilities

Company Description
At Western Digital, our vision is to power global innovation and push the boundaries of technology to make what you thought was once impossible, possible.

At our core, Western Digital is a company of problem solvers. People achieve extraordinary things given the right technology. For decades, we've been doing just that—our technology helped people put a man on the moon and capture the first-ever picture of a black hole.

We offer an expansive portfolio of technologies, HDDs, and platforms for business, creative professionals, and consumers alike under our Western Digital, WD, WD_BLACK, and SanDisk Professional brands.

We are a key partner to some of the largest and highest-growth organizations in the world. From enabling systems to make cities safer and more connected, to powering the data centers behind many of the world's biggest companies and hyperscale cloud providers, to meeting the massive and ever-growing data storage needs of the AI era, Western Digital is fueling a brighter, smarter future.

Today's exceptional challenges require your unique skills. Together, we can build the future of data storage.

Job Description
ESSENTIAL DUTIES AND RESPONSIBILITIES:

• Collaborate with cross-functional teams to develop high-impact data science solutions that improve productivity and operations metrics
• Analyze large-scale data and develop machine learning/AI models to drive business value and improve KPIs
• Design, prototype, and implement machine learning models and algorithms to solve specific Manufacturing problems
• Researching and developing scalable computer vision and machine learning solutions for complex problems
• Create and maintain web applications to support data science initiatives and facilitate data-driven decision making
• Interpret actionable insights from data and metadata sources, communicating findings to stakeholders for product improvement
• Prepare and deliver presentations with data visualizations and business conclusions

Qualifications
REQUIRED:

• Bachelor's degree in Computer Engineering, Software Engineering, Data Science, and Robotics & AI Engineering with relevant industry or academic experience in data analytics
• Proficiency in SQL, Big Data platforms, and cloud services (e.g., AWS)
• Strong background in applied statistics, statistical modeling, and practical experience with ML and AI algorithms.
• Required: Python, Tensorflow framework, Computer Vision
• Familiar with collaborative solutions, model & code versioning (Github), and solution packaging (Docker)
• Strong communication, analytical, and problem-solving skills.

Preferred

• Knowledge of AI/ML model development and lifecycle management.
• Experience with cloud-based solutions and collaborative tools (e.g., Github, Docker).
• Experience in Computer Vision and image processing techniques.
• Experience in web development.
• Familiarity with advanced machine learning techniques (e.g., neural networks, NLP, deep learning).
• Ability to communicate complex technical concepts to non-technical stakeholders.
• Proactive approach to learning and implementing emerging technologies.

Additional Information
Western Digital thrives on the power and potential of diversity. As a global company, we believe the most effective way to embrace the diversity of our customers and communities is to mirror it from within. We believe the fusion of various perspectives results in the best outcomes for our employees, our company, our customers, and the world around us. We are committed to an inclusive environment where every individual can thrive through a sense of belonging, respect and contribution.

Western Digital is committed to offering opportunities to applicants with disabilities and ensuring all candidates can successfully navigate our careers website and our hiring process. Please contact us at to advise us of your accommodation request. In your email, please include a description of the specific accommodation you are requesting as well as the job title and requisition number of the position for which you are applying.

Location: Robinson Rama 9 Tower (Onsite)

Support Part:

• Prepare, collect, and verify related documents to input tenant information into the Oracle system, coordinating with responsible teams.
• Monitor security deposits for all tenants.
• Update the work tracker for file sharing between departments to ensure cross-departmental monitoring, including additional system work, monthly system charges, and for running business cases.
• Collect company documents related to tenants for submission to relevant authorities.
• Propose advertising sign sales.
• Perform other assigned tasks.

Analyze Part:

• Prepare business case data (trial run of profitability calculations for tenant investments).
• Support data preparation for tenants, especially key brand groups and other assigned tenants.
• Analyze tenant, space, and rental income data from different perspectives according to given conditions and requirements.
• Analyze sales performance data of leasing staff.
• Prepare data regarding bank discounts, tenant discounts, and other requests from various departments.
• Perform other assigned tasks.

Qualifications:

• Bachelor's degree or higher in Business Administration, Finance, Economics, or related fields.
• Minimum of 3 years' experience in Data Management or Property Leasing in a shopping center.
• Knowledge of leasing processes, contract documents, and relevant laws.
• Strong analytical skills, business case development, and proficient in Excel and PowerPoint; Oracle experience is an advantage.
• Detail-oriented, problem-solving skills, and able to work well under pressure.
• Strong leadership, communication, and coordination skills with various departments.