- No elements found. Consider changing the search query.
Experience:
3 years required
Skills:
Compliance, Legal, Risk Management
Job type:
Full-time
Salary:
negotiable
- Develop data security policy review, data security policy exceptions, and control risk mitigation processes.
- Define the security controls for access management lifecycle (i.e., requirement for creation, deletion, transfer and review).
- Operate:Advice on technology relating to Data Privacy and Protection (i.e., PDPA) related security controls implementation.
- Drive and support data security controls such as Data Loss Prevention (DLP), Data Masking, Data Encryption capabilities to protect sensitive data.
- Drive compliance (or collaborate with compliance team) to organization security policies, standards, metrics, and legal requirements.
- Communicate and enforce security policies, rules, and standards.
- Conduct impact assessment of data initiatives from a security point of view.
- Ensure the cryptographic keys and related components are safety and protection of confidential information.
- Resolve data security audit and risk findings.
- Review and develop security controls to current access controls policies and procedures.
- Provide requirements for create and manage roles, access rights (includes privileged access), authentication and identity within the environment.
- Conduct periodic review of user access.
- Review, approve and monitor the usage of privileged access.
- EDUCATION.
- Bachelor s degree in computer science, Information Systems, or equivalent education or work experience.
- EXPERIENCE.
- Work experience in privacy, compliance, information security, auditing or a related field may also be an accepted alternative, according to Cybersecurity.
- Minimum 3 years of experience in and strong knowledge of privacy, data, operational risk management, information security, or related areas in IT.
- OTHER REQUIREMENTS.
Skills:
Compliance, Data Analysis, Power BI
Job type:
Full-time
Salary:
negotiable
- Build and maintain an HR data repository tailored to the food business under ThaiBev group, focusing on metrics critical to food operations, such as labor productivity, turnover by location, and shift coverage efficiency.
- Ensure data integrity and compliance with industry-specific labor regulations, maintaining a transparent and accurate source of HR information.
- Collaborate with operations teams to integrate labor data from multiple food business units, enabling holistic insights across various branches and regions.
- Assist HR Line Manager on Strategic HR Analytics for Workforce OptimizationConduct data analysis on staffing patterns, turnover rates, and workforce efficiency to identify optimization opportunities aligned with food business cycles.
- Use predictive analytics to anticipate workforce needs for peak and off-peak seasons, aiding in proactive staffing and cost control with operation team to centralization.
- Assist on Commercial Structure and Labor Cost Management for Food OperationsAnalyze labor costs relative to revenue and operational efficiency within different food outlets, providing insights to optimize staffing while maximizing profitability.
- Support the development of labor cost budgets that align with product pricing and sales targets in the food sector, helping maintain competitive yet profitable operations.
- Generate regular reports on labor cost performance against targets, identifying areas for improvement and enabling business leaders to adjust strategy as needed.
- Be Leader on developing Power BI Development for Real-Time Food Business InsightsDesign and deploy Power BI dashboards specific to food operations, offering real-time insights on key metrics like labor costs, staffing levels, and turnover rates across outlets.
- Collaborate with senior leaders in the food division to customize dashboards, highlighting KPIs that impact food production, service speed, and customer satisfaction.
- Continuously update Power BI capabilities to provide comprehensive, up-to-date views on HR metrics essential to food business strategy.
- 3+ years of experience in analytics, data management not specific in HR experience.
- Demonstrated proficiency in Power BI development and advanced Excel skills, including VBA, macros, and pivot tables.
- Prior experience in labor cost analysis, commercial structure evaluation.
- Contact Information:-.
- Oishi Group Public Company Limited.
- CW Tower, No.90. Ratchadapisek Road, Huai Khwang, Bangkok.
Experience:
3 years required
Skills:
Microsoft Azure, SQL, UNIX, Python, Hadoop
Job type:
Full-time
Salary:
negotiable
- Develop data pipeline automation using Azure technologies, Databricks and Data Factory.
- Understand data, reports and dashboards requirements, develop data visualization using Power BI, Tableau by working across workstreams to support data requirements including reports and dashboards and collaborate with data scientists, data analyst, data governance team or business stakeholders on several projects.
- Analyze and perform data profiling to understand data patterns following Data Qualit ...
- 3 years+ experience in big data technology, data engineering, data analytic application system development.
- Have an experience of unstructured data for business Intelligence or computer science would be advantage.
- Technical skill in SQL, UNIX and Shell Script, Python, R Programming, Spark, Hadoop programming.
Skills:
SQL, Oracle, Data Warehousing
Job type:
Full-time
Salary:
negotiable
- Bachelor s degree in Computer Science, Information Systems, Engineering, or a related field.
- At least 7 years of experience as a Data Engineer or in a related role.
- Hands-on experience with SQL, database management (e.g., Oracle, SQL Server, PostgreSQL), and data warehousing concepts.
- Experience with ETL/ELT tools such as Talend, Apache NiFi, or similar.
- Proficiency in programming languages like Python, Java, or Scala for data manipulation and automation.
- Experience with cloud platforms such as AWS, Azure, or GCP.
- Knowledge of big data technologies such as Hadoop, Spark, or Kafka.
- Strong understanding of data governance, security, and privacy frameworks in a financial services context.
- Excellent problem-solving skills and attention to detail.
- Experience working with Data Visualization or BI tools like Power BI, Tableau.
- Familiarity with machine learning concepts, model deployment, and AI applications.
- Banking or financial services industry experience, especially in retail or wholesale banking data solutions.
- Certification in cloud platforms (e.g., AWS Certified Data Engineer, Microsoft Azure Data Engineer, Google Professional Data Engineer)..
- Contact:.
- āļāđāļēāļāļŠāļēāļĄāļēāļĢāļāļāđāļēāļāđāļĨāļ°āļĻāļķāļāļĐāļēāļāđāļĒāļāļēāļĒāļāļ§āļēāļĄāđāļāđāļāļŠāđāļ§āļāļāļąāļ§āļāļāļāļāļāļēāļāļēāļĢāļāļĢāļļāļāđāļāļĒ āļāļģāļāļąāļ (āļĄāļŦāļēāļāļ) āļāļĩāđ https://krungthai.com/th/content/privacy-policy āļāļąāđāļāļāļĩāđ āļāļāļēāļāļēāļĢāđāļĄāđāļĄāļĩāđāļāļāļāļēāļŦāļĢāļ·āļāļāļ§āļēāļĄāļāļģāđāļāđāļāđāļāđ āļāļĩāđāļāļ°āļāļĢāļ°āļĄāļ§āļĨāļāļĨāļāđāļāļĄāļđāļĨāļŠāđāļ§āļāļāļļāļāļāļĨāļāļĩāđāļĄāļĩāļāļ§āļēāļĄāļāđāļāļāđāļŦāļ§ āļĢāļ§āļĄāļāļķāļāļāđāļāļĄāļđāļĨāļāļĩāđāđāļāļĩāđāļĒāļ§āļāđāļāļāļĻāļēāļŠāļāļēāđāļĨāļ°/āļŦāļĢāļ·āļāļŦāļĄāļđāđāđāļĨāļŦāļīāļ āļāļķāđāļāļāļēāļāļāļĢāļēāļāļāļāļĒāļđāđāđāļāļŠāļģāđāļāļēāļāļąāļāļĢāļāļĢāļ°āļāļģāļāļąāļ§āļāļĢāļ°āļāļēāļāļāļāļāļāļāđāļēāļāđāļāđāļāļĒāđāļēāļāđāļ āļāļąāļāļāļąāđāļ āļāļĢāļļāļāļēāļāļĒāđāļēāļāļąāļāđāļŦāļĨāļāđāļāļāļŠāļēāļĢāđāļāđ āļĢāļ§āļĄāļāļķāļāļŠāļģāđāļāļēāļāļąāļāļĢāļāļĢāļ°āļāļģāļāļąāļ§āļāļĢāļ°āļāļēāļāļ āļŦāļĢāļ·āļāļāļĢāļāļāļāđāļāļĄāļđāļĨāļŠāđāļ§āļāļāļļāļāļāļĨāļāļĩāđāļĄāļĩāļāļ§āļēāļĄāļāđāļāļāđāļŦāļ§āļŦāļĢāļ·āļāļāđāļāļĄāļđāļĨāļāļ·āđāļāđāļ āļāļķāđāļāđāļĄāđāđāļāļĩāđāļĒāļ§āļāđāļāļāļŦāļĢāļ·āļāđāļĄāđāļāļģāđāļāđāļāļŠāļģāļŦāļĢāļąāļāļ§āļąāļāļāļļāļāļĢāļ°āļŠāļāļāđāđāļāļāļēāļĢāļŠāļĄāļąāļāļĢāļāļēāļāđāļ§āđāļāļāđāļ§āđāļāđāļāļāđ āļāļāļāļāļēāļāļāļĩāđ āļāļĢāļļāļāļēāļāļģāđāļāļīāļāļāļēāļĢāđāļŦāđāđāļāđāđāļāļ§āđāļēāđāļāđāļāļģāđāļāļīāļāļāļēāļĢāļĨāļāļāđāļāļĄāļđāļĨāļŠāđāļ§āļāļāļļāļāļāļĨāļāļĩāđāļĄāļĩāļāļ§āļēāļĄāļāđāļāļāđāļŦāļ§ (āļāđāļēāļĄāļĩ) āļāļāļāļāļēāļāđāļĢāļāļđāđāļĄāđāđāļĨāļ°āđāļāļāļŠāļēāļĢāļāļ·āđāļāđāļāļāđāļāļāļāļĩāđāļāļ°āļāļąāļāđāļŦāļĨāļāđāļāļāļŠāļēāļĢāļāļąāļāļāļĨāđāļēāļ§āđāļ§āđāļāļāđāļ§āđāļāđāļāļāđāđāļĨāđāļ§āļāđāļ§āļĒ āļāļąāđāļāļāļĩāđ āļāļāļēāļāļēāļĢāļĄāļĩāļāļ§āļēāļĄāļāļģāđāļāđāļāļāđāļāļāđāļāđāļāļĢāļ§āļāļĢāļ§āļĄāļāđāļāļĄāļđāļĨāļŠāđāļ§āļāļāļļāļāļāļĨāđāļāļĩāđāļĒāļ§āļāļąāļāļāļĢāļ°āļ§āļąāļāļīāļāļēāļāļāļēāļāļĢāļĢāļĄāļāļāļāļāđāļēāļāđāļāļ·āđāļāļāļĢāļĢāļĨāļļāļ§āļąāļāļāļļāļāļĢāļ°āļŠāļāļāđāđāļāļāļēāļĢāļāļīāļāļēāļĢāļāļēāļĢāļąāļāļāļļāļāļāļĨāđāļāđāļēāļāļģāļāļēāļ āļŦāļĢāļ·āļāļāļēāļĢāļāļĢāļ§āļāļŠāļāļāļāļļāļāļŠāļĄāļāļąāļāļī āļĨāļąāļāļĐāļāļ°āļāđāļāļāļŦāđāļēāļĄ āļŦāļĢāļ·āļāļāļīāļāļēāļĢāļāļēāļāļ§āļēāļĄāđāļŦāļĄāļēāļ°āļŠāļĄāļāļāļāļāļļāļāļāļĨāļāļĩāđāļāļ°āđāļŦāđāļāļģāļĢāļāļāļģāđāļŦāļāđāļ āļāļķāđāļāļāļēāļĢāđāļŦāđāļāļ§āļēāļĄāļĒāļīāļāļĒāļāļĄāđāļāļ·āđāļāđāļāđāļāļĢāļ§āļāļĢāļ§āļĄ āđāļāđ āļŦāļĢāļ·āļāđāļāļīāļāđāļāļĒāļāđāļāļĄāļđāļĨāļŠāđāļ§āļāļāļļāļāļāļĨāđāļāļĩāđāļĒāļ§āļāļąāļāļāļĢāļ°āļ§āļąāļāļīāļāļēāļāļāļēāļāļĢāļĢāļĄāļāļāļāļāđāļēāļāļĄāļĩāļāļ§āļēāļĄāļāļģāđāļāđāļāļŠāļģāļŦāļĢāļąāļāļāļēāļĢāđāļāđāļēāļāļģāļŠāļąāļāļāļēāđāļĨāļ°āļāļēāļĢāđāļāđāļĢāļąāļāļāļēāļĢāļāļīāļāļēāļĢāļāļēāļāļēāļĄāļ§āļąāļāļāļļāļāļĢāļ°āļŠāļāļāđāļāļąāļāļāļĨāđāļēāļ§āļāđāļēāļāļāđāļ āđāļāļāļĢāļāļĩāļāļĩāđāļāđāļēāļāđāļĄāđāđāļŦāđāļāļ§āļēāļĄāļĒāļīāļāļĒāļāļĄāđāļāļāļēāļĢāđāļāđāļāļĢāļ§āļāļĢāļ§āļĄ āđāļāđ āļŦāļĢāļ·āļāđāļāļīāļāđāļāļĒāļāđāļāļĄāļđāļĨāļŠāđāļ§āļāļāļļāļāļāļĨāđāļāļĩāđāļĒāļ§āļāļąāļāļāļĢāļ°āļ§āļąāļāļīāļāļēāļāļāļēāļāļĢāļĢāļĄ āļŦāļĢāļ·āļāļĄāļĩāļāļēāļĢāļāļāļāļāļ§āļēāļĄāļĒāļīāļāļĒāļāļĄāđāļāļ āļēāļĒāļŦāļĨāļąāļ āļāļāļēāļāļēāļĢāļāļēāļāđāļĄāđāļŠāļēāļĄāļēāļĢāļāļāļģāđāļāļīāļāļāļēāļĢāđāļāļ·āđāļāļāļĢāļĢāļĨāļļāļ§āļąāļāļāļļāļāļĢāļ°āļŠāļāļāđāļāļąāļāļāļĨāđāļēāļ§āļāđāļēāļāļāđāļāđāļāđ āđāļĨāļ°āļāļēāļ āļāļģāđāļŦāđāļāđāļēāļāļŠāļđāļāđāļŠāļĩāļĒāđāļāļāļēāļŠāđāļāļāļēāļĢāđāļāđāļĢāļąāļāļāļēāļĢāļāļīāļāļēāļĢāļāļēāļĢāļąāļāđāļāđāļēāļāļģāļāļēāļāļāļąāļāļāļāļēāļāļēāļĢ .
Skills:
Assurance, Compliance
Job type:
Full-time
Salary:
negotiable
- Conduct detailed analysis of Enterprise Service revenue to identify trends in products and services within AIS Group.
- Verify the accuracy and completeness of revenue collection, promotion packages, and new services to ensure compliance with business conditions.
- Develop appropriate QA measures to minimize revenue loss and operational errors.
- Detect and investigate irregularities affecting revenue, such as real loss, opportunity loss, and fraud.
- Collaborate with relevant departments to address and rectify issues impacting revenue.
- Ensure the accuracy of service charges, promotion packages, and offerings for enterprise customers.
- Review and validate the calculation of postpaid voice, IDD, and IR services in the RBM system to prevent revenue loss.
- Utilize data analytics skills to analyze data from various sources, reflecting trends, performance, and efficiency of products and services.
- Prepare analysis reports to support management in strategy formulation and risk assessment.
Skills:
SEO, Project Management, Digital Marketing, English
Job type:
Full-time
Salary:
negotiable
- SEO Specialist.
- Media Buyer (Google & Facebook Ads).
- Data Analyst.
- Web Designers.
- Content Marketers.
- Digital Admins.
- As these are agency roles, you will be joining a team responsible for the strategy, delivery, and success of digital marketing campaigns for a multitude of clients including and thus should have a desire to be able to learn and apply your marketing skills across a broad range of industries and niches. You should be up for the challenge of joining a fast-growing company and be ready to take ownership of the results and success of our client campaigns.
- Strategize marketing campaigns for our clients to achieve their growth, lead, sales, and ROI goals.
- Manage the tasks and deliverables for client campaigns using our project management software.
- Completing tasks as assigned to you by our Marketing Director.
- Quality checking all client work before it is delivered or implemented.
- Ensuring client campaigns remain within budget be managing adherence to time tracking principles at task level.
- Identifying and rectifying any campaign issues with proactive analyst.
- Identifying additional marketing or upsell opportunities for our clients.
- Debriefing our account managers on campaign updates and results for them to communicate to their clients.
- We will provide you:.
- Extensive on the job training and education opportunities.
- Exposure to apply your digital marketing skills to multiple business industries.
- Annual and KPI Bonuses.
- Work Days: 5 day work week (Monday - Friday).
- Staff Social Club and Regular Events and Outings.
- Generous Annual Leave Packages.
- Travel and Accommodation Allowances.
- Promotion Opportunities.
- So if you have experience or skills in any of the above roles, and you would like to join a company with a great team culture we would love to receive your application. We welcome junior applicants or fresh graduates to apply as we are a company that provides extensive on the job training and learning opportunities. Upon receiving your application we will discuss with you your desired role and career growth goals. Thank you.
- Pay: āļŋ25,000.00 - āļŋ54,999.00 per month.
- Digital Marketing: 2 years (Required).
- English Fluency (Required).
Experience:
No experience required
Skills:
Mechanical Engineering, Electrical Engineering, English
Job type:
Full-time
- Provide day to day installation, maintenance, and repair of all facilities in the data center.
- 24x7 shift work responsibility when qualified and designated.
- Provide requested reporting and documentation.
- Support of facility, development, and construction teams.
- Perform tasks as assigned by DC operation manager.
- Respond to customer requests, power, cooling, and facility audits.
- First tier investigate any power, communication, or cooling anomalies.
- Attend assigned meetings and training.
- Assist in ensuring customer compliance with GSA Acceptance Usage Policy (AUP).
- Provide technical escort when needed.
- Job Qualifications.
- Must be familiar with safety requirements and OSHA regulations or Thailand safety regulations.
- Basic understanding of electrical and mechanical systems that may be employed in a data center environment. This may include electrical feeders, transformers, generators, switchgear, UPS systems, DC power systems, ATS/STS units, PDU units, air handling units, cooling towers, and fire suppression systems.
- Familiar with Interpret wiring diagrams, schematics, and electrical drawings.
- Ability to express ideas clearly, concisely, and effectively with contractors performing maintenance or upgrades on systems installed in the data center environment.
- Excellent verbal, written, and interpersonal communication skills.
- Ability to analyze and make suggestions for problem resolution.
- Solve problems with good initiative and sound judgment.
- Creativity, problem solving skills, negotiation and systematic thinking.
- Fluent in English both written and verbal (Minimum 500 TOEIC score).
- Goal-Oriented, Unity, Learning, Flexible.
Skills:
Sales, Marketing Strategy, Statistics
Job type:
Full-time
Salary:
negotiable
- Analyze consumer behavior, market trends, and competitor data, and provide data-driven recommendations for business expansion or marketing strategy development.
- Collect sales, operational, and marketing data from internal and external sources to assess the impact of marketing campaigns and forecast business opportunities.
- Update and maintain accurate databases, and create analytical reports (Dashboards) to present data to management.
- Coordinate with marketing, sales, and other departments to gather information for analysis and address the needs of the organization.
- Bachelor's degree or higher in Data Science, Marketing, Statistics, or a related field.
- At least 2-3 years of experience in data analysis. Experience in retail business will be considered an advantage.
- Proficiency in data analysis tools such as Excel, SQL, Power BI, Tableau, or Python.
- Strong analytical skills and the ability to solve problems in a systematic manner.
- Good presentation and communication skills to convey complex information clearly.
- Attention to detail and the ability to work under pressure.
Experience:
1 year required
Skills:
Statistics, Data Analysis, Finance
Job type:
Full-time
Salary:
negotiable
- Bachelor s degree in Statistics, Economics, Mathematics, or related field.
- 1-3 years of experience in data analysis or related roles. Experience in banking or finance preferred.
- Proficiency in Excel, SQL, Python/R, data visualization tools like Tableau or Power BI. Strong statistical analysis skills.
- Strong understanding of data analysis, statistical methods, and business insights. Knowledge of user personas and journey mapping in data-centric roles.
- Contact: [email protected] (K.Thipwimon).
- āļāđāļēāļāļŠāļēāļĄāļēāļĢāļāļāđāļēāļāđāļĨāļ°āļĻāļķāļāļĐāļēāļāđāļĒāļāļēāļĒāļāļ§āļēāļĄāđāļāđāļāļŠāđāļ§āļāļāļąāļ§āļāļāļāļāļāļēāļāļēāļĢāļāļĢāļļāļāđāļāļĒ āļāļģāļāļąāļ (āļĄāļŦāļēāļāļ) āļāļĩāđ https://krungthai.com/th/content/privacy-policy āļāļąāđāļāļāļĩāđ āļāļāļēāļāļēāļĢāđāļĄāđāļĄāļĩāđāļāļāļāļēāļŦāļĢāļ·āļāļāļ§āļēāļĄāļāļģāđāļāđāļāđāļāđ āļāļĩāđāļāļ°āļāļĢāļ°āļĄāļ§āļĨāļāļĨāļāđāļāļĄāļđāļĨāļŠāđāļ§āļāļāļļāļāļāļĨāļāļĩāđāļĄāļĩāļāļ§āļēāļĄāļāđāļāļāđāļŦāļ§ āļĢāļ§āļĄāļāļķāļāļāđāļāļĄāļđāļĨāļāļĩāđāđāļāļĩāđāļĒāļ§āļāđāļāļāļĻāļēāļŠāļāļēāđāļĨāļ°/āļŦāļĢāļ·āļāļŦāļĄāļđāđāđāļĨāļŦāļīāļ āļāļķāđāļāļāļēāļāļāļĢāļēāļāļāļāļĒāļđāđāđāļāļŠāļģāđāļāļēāļāļąāļāļĢāļāļĢāļ°āļāļģāļāļąāļ§āļāļĢāļ°āļāļēāļāļāļāļāļāļāđāļēāļāđāļāđāļāļĒāđāļēāļāđāļ āļāļąāļāļāļąāđāļ āļāļĢāļļāļāļēāļāļĒāđāļēāļāļąāļāđāļŦāļĨāļāđāļāļāļŠāļēāļĢāđāļāđ āļĢāļ§āļĄāļāļķāļāļŠāļģāđāļāļēāļāļąāļāļĢāļāļĢāļ°āļāļģāļāļąāļ§āļāļĢāļ°āļāļēāļāļ āļŦāļĢāļ·āļāļāļĢāļāļāļāđāļāļĄāļđāļĨāļŠāđāļ§āļāļāļļāļāļāļĨāļāļĩāđāļĄāļĩāļāļ§āļēāļĄāļāđāļāļāđāļŦāļ§āļŦāļĢāļ·āļāļāđāļāļĄāļđāļĨāļāļ·āđāļāđāļ āļāļķāđāļāđāļĄāđāđāļāļĩāđāļĒāļ§āļāđāļāļāļŦāļĢāļ·āļāđāļĄāđāļāļģāđāļāđāļāļŠāļģāļŦāļĢāļąāļāļ§āļąāļāļāļļāļāļĢāļ°āļŠāļāļāđāđāļāļāļēāļĢāļŠāļĄāļąāļāļĢāļāļēāļāđāļ§āđāļāļāđāļ§āđāļāđāļāļāđ āļāļāļāļāļēāļāļāļĩāđ āļāļĢāļļāļāļēāļāļģāđāļāļīāļāļāļēāļĢāđāļŦāđāđāļāđāđāļāļ§āđāļēāđāļāđāļāļģāđāļāļīāļāļāļēāļĢāļĨāļāļāđāļāļĄāļđāļĨāļŠāđāļ§āļāļāļļāļāļāļĨāļāļĩāđāļĄāļĩāļāļ§āļēāļĄāļāđāļāļāđāļŦāļ§ (āļāđāļēāļĄāļĩ) āļāļāļāļāļēāļāđāļĢāļāļđāđāļĄāđāđāļĨāļ°āđāļāļāļŠāļēāļĢāļāļ·āđāļāđāļāļāđāļāļāļāļĩāđāļāļ°āļāļąāļāđāļŦāļĨāļāđāļāļāļŠāļēāļĢāļāļąāļāļāļĨāđāļēāļ§āđāļ§āđāļāļāđāļ§āđāļāđāļāļāđāđāļĨāđāļ§āļāđāļ§āļĒ āļāļąāđāļāļāļĩāđ āļāļāļēāļāļēāļĢāļĄāļĩāļāļ§āļēāļĄāļāļģāđāļāđāļāļāđāļāļāđāļāđāļāļĢāļ§āļāļĢāļ§āļĄāļāđāļāļĄāļđāļĨāļŠāđāļ§āļāļāļļāļāļāļĨāđāļāļĩāđāļĒāļ§āļāļąāļāļāļĢāļ°āļ§āļąāļāļīāļāļēāļāļāļēāļāļĢāļĢāļĄāļāļāļāļāđāļēāļāđāļāļ·āđāļāļāļĢāļĢāļĨāļļāļ§āļąāļāļāļļāļāļĢāļ°āļŠāļāļāđāđāļāļāļēāļĢāļāļīāļāļēāļĢāļāļēāļĢāļąāļāļāļļāļāļāļĨāđāļāđāļēāļāļģāļāļēāļ āļŦāļĢāļ·āļāļāļēāļĢāļāļĢāļ§āļāļŠāļāļāļāļļāļāļŠāļĄāļāļąāļāļī āļĨāļąāļāļĐāļāļ°āļāđāļāļāļŦāđāļēāļĄ āļŦāļĢāļ·āļāļāļīāļāļēāļĢāļāļēāļāļ§āļēāļĄāđāļŦāļĄāļēāļ°āļŠāļĄāļāļāļāļāļļāļāļāļĨāļāļĩāđāļāļ°āđāļŦāđāļāļģāļĢāļāļāļģāđāļŦāļāđāļ āļāļķāđāļāļāļēāļĢāđāļŦāđāļāļ§āļēāļĄāļĒāļīāļāļĒāļāļĄāđāļāļ·āđāļāđāļāđāļāļĢāļ§āļāļĢāļ§āļĄ āđāļāđ āļŦāļĢāļ·āļāđāļāļīāļāđāļāļĒāļāđāļāļĄāļđāļĨāļŠāđāļ§āļāļāļļāļāļāļĨāđāļāļĩāđāļĒāļ§āļāļąāļāļāļĢāļ°āļ§āļąāļāļīāļāļēāļāļāļēāļāļĢāļĢāļĄāļāļāļāļāđāļēāļāļĄāļĩāļāļ§āļēāļĄāļāļģāđāļāđāļāļŠāļģāļŦāļĢāļąāļāļāļēāļĢāđāļāđāļēāļāļģāļŠāļąāļāļāļēāđāļĨāļ°āļāļēāļĢāđāļāđāļĢāļąāļāļāļēāļĢāļāļīāļāļēāļĢāļāļēāļāļēāļĄāļ§āļąāļāļāļļāļāļĢāļ°āļŠāļāļāđāļāļąāļāļāļĨāđāļēāļ§āļāđāļēāļāļāđāļ āđāļāļāļĢāļāļĩāļāļĩāđāļāđāļēāļāđāļĄāđāđāļŦāđāļāļ§āļēāļĄāļĒāļīāļāļĒāļāļĄāđāļāļāļēāļĢāđāļāđāļāļĢāļ§āļāļĢāļ§āļĄ āđāļāđ āļŦāļĢāļ·āļāđāļāļīāļāđāļāļĒāļāđāļāļĄāļđāļĨāļŠāđāļ§āļāļāļļāļāļāļĨāđāļāļĩāđāļĒāļ§āļāļąāļāļāļĢāļ°āļ§āļąāļāļīāļāļēāļāļāļēāļāļĢāļĢāļĄ āļŦāļĢāļ·āļāļĄāļĩāļāļēāļĢāļāļāļāļāļ§āļēāļĄāļĒāļīāļāļĒāļāļĄāđāļāļ āļēāļĒāļŦāļĨāļąāļ āļāļāļēāļāļēāļĢāļāļēāļāđāļĄāđāļŠāļēāļĄāļēāļĢāļāļāļģāđāļāļīāļāļāļēāļĢāđāļāļ·āđāļāļāļĢāļĢāļĨāļļāļ§āļąāļāļāļļāļāļĢāļ°āļŠāļāļāđāļāļąāļāļāļĨāđāļēāļ§āļāđāļēāļāļāđāļāđāļāđ āđāļĨāļ°āļāļēāļ āļāļģāđāļŦāđāļāđāļēāļāļŠāļđāļāđāļŠāļĩāļĒāđāļāļāļēāļŠāđāļāļāļēāļĢāđāļāđāļĢāļąāļāļāļēāļĢāļāļīāļāļēāļĢāļāļēāļĢāļąāļāđāļāđāļēāļāļģāļāļēāļāļāļąāļāļāļāļēāļāļēāļĢ .
Experience:
3 years required
Skills:
Big Data, Hive, SAS
Job type:
Full-time
Salary:
negotiable
- Design, implement, and maintain data analytics pipelines and processing systems.
- Experience of data modelling techniques and integration patterns.
- Write data transformation jobs through code.
- Analyze large datasets to extract insights and identify trends.
- Perform data management through data quality tests, monitoring, cataloging, and governance.
- Knowledge in data infrastructure ecosystem.
- Collaborate with cross-functional teams to identify opportunities to leverage data to drive business outcomes.
- Build data visualizations to communicate findings to stakeholders.
- A willingness to learn and find solutions to complex problems.
- Stay up-to-date with the latest developments in data analytics and science.
- Experience migrating from on-premise data stores to cloud solutions.
- Knowledge of system design and platform thinking to build sustainable solution.
- Practical experience with modern and traditional Big Data stacks (e.g BigQuery, Spark, Databricks, duckDB, Impala, Hive, etc).
- Experience working with data warehouse solutions ELT solutions, tools, and techniques (e.g. Airflow, dbt, SAS, Matillion, Nifi).
- Experience with agile software delivery and CI/CD processes.
- Bachelor's or Master's degree in computer science, statistics, engineering, or a related field.
- At least 3 years of experience in data analysis and modeling.
- Proficiency in Python, and SQL.
- Experience with data visualization tools such as Tableau, Grafana or similar.
- Familiarity with cloud computing platforms, such as GCP, AWS or Databricks.
- Strong problem-solving skills and the ability to work independently as well as collaboratively.
- This role offers a clear path to advance into machine learning and AI with data quality and management, providing opportunities to work on innovative projects and develop new skills in these exciting fields..
- Contact: [email protected] (K.Thipwimon).
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Job type:
Full-time
Salary:
negotiable
- Collect and organize data from various sources, Ensure the accuracy, completeness, and consistency of data for analysis
- Maintain and update datasets, ensuring that they remain current and relevant.
- Apply statistical techniques and data analysis methods to interpret complex datasets.
- Identify trends, patterns, correlations, and anomalies within the data that can inform business decisions.
- Use data visualization tools (e.g., Tableau, Power BI, or Excel) to create interactive charts, dashboards, and graphs that present key insights.
- Communicate findings clearly through visual representation, making complex data easier to understand for non-technical stakeholders.
- Prepare and present reports summarizing data analysis, trends, and recommendations.
- Create regular performance reports, including key performance indicators (KPIs), to track business performance.
- Identify business problems that can be addressed through data analysis.
- Provide actionable insights and recommendations to improve business processes, performance, or strategy.
- Work closely with other departments (e.g., marketing, sales, finance, operations) to understand their data needs and provide analytical support.
- Collaborate with data scientists, business analysts, or IT teams to ensure data is captured, processed, and analyzed correctly.
- Continuously improve analytical processes and methodologies to increase efficiency and accuracy.
- Other job which may assign by Asst. Manager / HOD.
- Problem solving skills
- Negotiations skills
- Time management skills
- Familiar with any management system
- Advanced skills in operating computer office programs
- Good command of English and be able to correspondence with oversea
- Good personality, diligent, willing to work hard, self responsibility and honest.
Skills:
Positive Thinker, English
Job type:
Full-time
Salary:
negotiable
- Be the contact for commercial queries, leading the resolution in a client-focused and timely manner in cooperation with Client Liaison and Commercial teams. To be able to identify, investigate and coordinate the resolution of data, process, or product related queries.
- Plan and execute a complex daily personal workload and support to meet departmental and company schedules.
- Analyze and identify gaps and areas for improvement in coding, data input validation ...
- Providing accurate and timely feedback to respective country teams, driving SOP and use of best-demonstrated practices.
- Working across relevant Operations/Enablement teams to ensure delivery to client expectations and satisfaction.
- Operate in a virtual/multi-cultural environment, liaising with stakeholders and colleagues.
- QualificationsBachelor s degree in any field.
- A high degree of accuracy, proactivity, and attention to detail.
- Good analytics skills and aptitude for data and operational processes.
- Good in written and verbal communication skills in English.
- A positive thinker and a good Team Player.
- Additional Information
- Our Benefits.
- Flexible working environment.
- Volunteer time off.
- LinkedIn Learning.
- Employee-Assistance-Program (EAP).
- About NIQ.
- NIQ is the world s leading consumer intelligence company, delivering the most complete understanding of consumer buying behavior and revealing new pathways to growth. In 2023, NIQ combined with GfK, bringing together the two industry leaders with unparalleled global reach. With a holistic retail read and the most comprehensive consumer insights delivered with advanced analytics through state-of-the-art platforms NIQ delivers the Full View&trade. NIQ is an Advent International portfolio company with operations in 100+ markets, covering more than 90% of the world s population.
- For more information, visit NIQ.com.
- Want to keep up with our latest updates?.
- Follow us on: LinkedIn | Instagram | Twitter | Facebook.
- Our commitment to Diversity, Equity, and Inclusion.
- NIQ is committed to reflecting the diversity of the clients, communities, and markets we measure within our own workforce. We exist to count everyone and are on a mission to systematically embed inclusion and diversity into all aspects of our workforce, measurement, and products. We enthusiastically invite candidates who share that mission to join us. We are proud to be an Equal Opportunity/Affirmative Action-Employer, making decisions without regard to race, color, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, disability status, age, marital status, protected veteran status or any other protected class. Our global non-discrimination policy covers these protected classes in every market in which we do business worldwide. Learn more about how we are driving diversity and inclusion in everything we do by visiting the NIQ News Center: https://nielseniq.com/global/en/news-center/diversity-inclusion.
Experience:
3 years required
Skills:
Excel, Python, Power BI, Data Analysis, Inventory / Warehouse Management
Job type:
Full-time
Salary:
negotiable
- Identify and provide list of non-performing inventory, never been sold inventory, non-Planogram, Inventory to Merchandise & Buyer, follow up action and simulate impact from Mark down price.
- Analyze root cause which impact to non-performing inventory increasing and provide conclusion and recommendation for next step action in term of work in a process with relevant parties.
- Work with Store Operations to follow up execution to clear these inventory.
- Bachelor Degree of Supply Chain, Logistic, Economics, Mathematic and other relate filed.
- Have experience in Data analyst, Inventory Analyst, Inventory Planning at least 3-5 Years.
- Excellent for Excel (Pivot, VLOOKUP, VBA), Python, Power BI, Power Query, Tableau.
- Have experience in Retail business /FMCG would be advantage.
- Good Analytic skills.
Skills:
Data Analysis, Excel, Power BI
Job type:
Full-time
Salary:
negotiable
- Prepare and deliver daily, weekly, and monthly business reports to key stakeholders and business controllers.
- Recommend IT solutions for optimizing report generation across Financial, Commercial, and Operational areas.
- Ensure accuracy and consistency in data, readying it for comprehensive reporting.
- Provide data support to internal teams to meet reporting needs.
- Prepare additional ad hoc reports as assigned.
- Graduate with a Bachelor's/Master's Degree in Economics, Engineer, IT, or other related fields.
- Have an Experience in data analysis or performance reporting.
- Strong data analysis skills using Excel, Power BI, and SQL.
- Able to use VBA/Macro will be given special consideration.
- Experience in Retail businesses will be given special consideration.
Skills:
Data Analysis, Analytical Thinking, High Responsibilities
Job type:
Full-time
Salary:
negotiable
- Analyze data and provide business insight.
- Assess risk and design mitigation actions based on data insight.
- Design dashboards / predictive models for decision-making management.
- Lead and Supervise team by projects.
Skills:
Cloud Computing, SAP, Linux
Job type:
Full-time
Salary:
negotiable
- Acting as the key of Cloud technical aspect for the consulting team to provide the technical consulting to both internal and external customers.
- Design Cloud solution architecture in response to the client s requirement.
- Provide advisory consulting service to the client regarding the True IDC Consulting practices.
- Create Cloud technical requirements to the client s migration plan.
- Experience of designing and implementing comprehensive Cloud computing solutions on various Cloud technologies e.g. AWS, GCP.
- Experience in building multi-tier Service Oriented Architecture (SOA) applications.
- Experience in SAP Cloud Infrastructure in term of architecture & design in AWS, GCP public cloud.
- Knowledge of Linux, Windows, Apache, IIS, NoSQL operations as its architecture toth e Cloud.
- Knowledge of Containerization administrative for both Windows and Linux technologies.
- Knowledge of key concerns and how they are addressed in Cloud Computing such as security, performance and scalability.
- Good in customer objective handling & Good in customer presentation skill.
- Nice to have.
- UNIX shell scripting.
- AWS Certified Solution Architect - Associate.
- GCP Certified Solution Architect - Associate.
Skills:
Project Management, Scrum, Product Owner
Job type:
Full-time
Salary:
negotiable
- Bachelor s degree in Business Administration, Innovation Management, Computer Science, Data Science, or a related field.
- At least 7 years of experience managing projects, with at least 2 years focused on innovation, digital transformation, or emerging technologies.
- Proven experience in end-to-end project management, including planning, execution, monitoring, and delivery.
- Experience working with project management tools such as JIRA, Trello, Asana, or MS Project.
- Knowledge of data analytics frameworks, predictive models, and data-driven decision-making methodologies.
- Understanding of emerging technologies (e.g., AI, machine learning, Generative AI, IoT) and innovation frameworks.
- Strong analytical, problem-solving, and decision-making skills.
- Excellent stakeholder management, communication, and presentation skills.
- Ability to work in a fast-paced, agile environment with cross-functional teams.
- Certifications: PMP, Prince2, Agile (Scrum Master, Product Owner), or Design Thinking certifications.
- Contact:.
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Experience:
No experience required
Skills:
Electrical Engineering, Mechanical Engineering, English
Job type:
Full-time
- Serve as the main contact for network investigations.
- Monitor GSA internal networks and data hall environments.
- Interpret and address connectivity alerts.
- Lead incident management events and create event tickets.
- Perform configuration tasks and adhere to security policies.
- Research and summarize events, providing reports.
- Coordinate with carriers to resolve customer issues.
- Provide input for network management optimization.
- Troubleshoot and escalate issues as needed.
- Deliver timely and accurate end-to-end support.
- Document actions and provide peer coaching/training.
- Job Qualifications.
- Bachelor's degree in information technology, computer science or related field.
- Flexible schedule availability, including nights, weekends, and shift rotations.
- Strong focus on customer service solutions.
- Understanding of various network topologies.
- Excellent communication skills via direct contact, phone, email, and documentation/tracking incidents.
- Knowledge of OSI Model and troubleshooting techniques.
- Familiarity with industry cabling standards and datacenter infrastructure.
- Proficiency in interacting with computing systems.
- Ability to navigate and utilize ticketing systems effectively.
- Comfortable working in a fast-paced environment with professionalism and flexibility.
- Punctual, reliable, and able to manage deadlines effectively.
- Strong organizational skills.
- Familiar with Computer literate with an emphasis on Microsoft Office Suite.
- Experience with equipment terminal access applications (Ex.: CRT, Putty, SSH).
- Experience with network monitoring software applications.
- We welcome recent graduates and those starting out in their careers to apply for this engineer-level position.
- Leader position is reserved for candidates with direct experience only.
- Creativity, problem solving skills, negotiation and systematic thinking.
- Fluent in English both written and verbal (Minimum 500 TOEIC score).
- Goal-Oriented, Unity, Learning, Flexible.
Experience:
2 years required
Skills:
Python, SQL, Tableau, Quantitative Analysis
Job type:
Full-time
Salary:
negotiable
- Understanding of business problems forgathering/analyzing/designing the data to solve the problems from end-to-end process.
- Excellent in written and verbal communication skills for coordinating across teams.
- Analyze large amounts of information to discover trends and patterns.
- Lead the analytics group in management of projects and experiment designing, implementing innovative Predictive Models, implementing innovative analytic solutions or driving outstanding results.
- Proficient in common data science toolkits (R, Python) and using SQL languages.
- Experience using business intelligence tools (e.g. Tableau) and data frameworks (e.g. Hadoop).
- Good applied statistics skills, such as distributions, statistical testing, regression, etc.
- At least 2-3 year in Business Intelligence/Data Analytic.
- Proficiency in statistical analysis, quantitative analytic, forecasting/predictive analytic, experimental design and optimization algorithms.
- Technical expertise regarding data modeling, data mining, segmentation techniques, unstructured data skills, and other data science.
- Programming skills in big data frameworks and statistical modeling such as SAS, R, and Python, CE Techniques.
- Experience in data visualization tools.
- Knowledge/experience in machine learning.
- Domain knowledge of mobile, network and telecommunication technology and services would be advantageous.
Experience:
No experience required
Skills:
Mechanical Drawing, Electrical Engineering, English
Job type:
Full-time
Salary:
āļŋ50,000 - āļŋ70,000
- On duty and take responsibility when absence DC operation manager.
- Quality assurance of Technician work performed along with associated documentation.
- Maintenance of supply and tool inventory used by MEP system.
- Management and reporting of Technician hours worked.
- Ensure compliance of policies and procedures by Technicians.
- Mentoring and leadership on data center floor for technicians.
- Support of construction, research, and development activity.
- Good understanding of electrical and mechanical systems that may be employed in a data center environment. This may include electrical feeders, transformers, generators, switchgear, UPS systems, DC power systems, ATS/STS units, PDU units, air handling units, cooling towers, and fire suppression systems.
- Must be familiar with safety requirements and OSHA regulations governing a multi-megawatt facility.
- Interpret wiring diagrams, schematics, and electrical drawings.
- Job Qualifications.
- Familiar with Microsoft Suite, BMS, EPMS, CPMS and CMMS.
- Travel may be requested by GSA.
- The data center is a 24 hour/7 day operation.
- Excellent verbal, written, and interpersonal communication skills.
- Ability to express ideas clearly, concisely and effectively with contractors installing, performing maintenance or upgrade work on systems installed in the data center environment.
- Ability to analyze and make suggestions for problem resolution.
- Solve problems with good initiative and sound judgment.
- Make decisions independently with minimal guidance.
- Creativity, problem solving skills, negotiation and systematic thinking.
- Fluent in English both written and verbal (Minimum 500 TOEIC score).
- Goal-Oriented, Unity, Learning, Flexible.
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