เงื่อนไขการค้นหา

ทักษะ:

Big Data, Research, Statistics

ประเภทงาน:

งานประจำ

• Design, code, experiment and implement models and algorithms to maximize customer experience, supply side value, business outcomes, and infrastructure readiness.
• Mine a big data of hundreds of millions of customers and more than 600M daily user generated events, supplier and pricing data, and discover actionable insights to drive improvements and innovation.
• Work with developers and a variety of business owners to deliver daily results with the best quality.
• Research discover and harness new ideas that can make a difference.
• What You'll Need to Succeed.
• 4+ years hands-on data science experience.
• Excellent understanding of AI/ML/DL and Statistics, as well as coding proficiency using related open source libraries and frameworks.
• Significant proficiency in SQL and languages like Python, PySpark and/or Scala.
• Can lead, work independently as well as play a key role in a team.
• Good communication and interpersonal skills for working in a multicultural work environment.
• It's Great if You Have.
• PhD or MSc in Computer Science / Operations Research / Statistics or other quantitative fields.
• Experience in NLP, image processing and/or recommendation systems.
• Hands on experience in data engineering, working with big data framework like Spark/Hadoop.
• Experience in data science for e-commerce and/or OTA.
• We welcome both local and international applications for this role. Full visa sponsorship and relocation assistance available for eligible candidates.
• Equal Opportunity Employer.
• At Agoda, we pride ourselves on being a company represented by people of all different backgrounds and orientations. We prioritize attracting diverse talent and cultivating an inclusive environment that encourages collaboration and innovation. Employment at Agoda is based solely on a person's merit and qualifications. We are committed to providing equal employment opportunity regardless of sex, age, race, color, national origin, religion, marital status, pregnancy, sexual orientation, gender identity, disability, citizenship, veteran or military status, and other legally protected characteristics.
• We will keep your application on file so that we can consider you for future vacancies and you can always ask to have your details removed from the file. For more details please read our privacy policy.
• Disclaimer.
• We do not accept any terms or conditions, nor do we recognize any agency's representation of a candidate, from unsolicited third-party or agency submissions. If we receive unsolicited or speculative CVs, we reserve the right to contact and hire the candidate directly without any obligation to pay a recruitment fee.

ทักษะ:

ETL, Compliance, Industry trends, English

ประเภทงาน:

งานประจำ

• Drive and consult our clients to ensure they will have right solutions to solve their use cases.
• Understand, analyze and collect a large set of data from multiple sources.
• Collaborate with stakeholders to validate data semantics and metrics definitions.
• Design and implement data solutions with data orchestration.
• Strong knowledge of ETL orchestration tools (Databricks, Airflow, Pentaho ).
• Model and set up data flow towards third party system such as CDP/CEP.
• Fine-tune data queries for optimization.
• Develop data models following the data architecture.
• Responsible for Technical Solution design documents.
• Ensure the solutions respect all the compliance and security from client, industry and market regulatory (GDPR, PDPA, HIPAA).
• Knowledge of Data governance principles and tools (DBT, Collibra, Purview, ).
• Support pre-sales activities and proposals delivery.
• Work closely with business stakeholders to understand their data needs and with Solutions Architect/Tech Lead to ensure the sprint deliveries.
• Develop and maintain best practice of delivering clean and compliant data pipelines.
• Mentor more junior BI and Data Engineers.
• Stay up-to-date with industry trends, best practices, and emerging technologies related to data.
• The Qualifications.
• Thai language professional proficiency and Good communication skills in English.
• Have experience in Customer Data Platform integration (CDP).
• 5+ years of relevant experience in data engineering.
• Experience in consultancy.
• Experience in API calls, SQL, Python, SparkPY to build optimized ELT/ETL pipeline.
• Knowledge of data modeling and data architecture.
• Experience in Databricks, Snowflake, Fabric, Big Query.
• Have experience in Customer Engagement Platform integration (CEP).
• Experience in AI tool to support development.
• Experience in developing data flow for AI (RAG, Gen BI, ).
• Be able to develop a downloader (Python preferably).
• Strong analytical and problem-solving skills, with the ability to work with large and complex data sets.
• Strong communication skills to effectively explain technical concepts to non-technical stakeholders.
• Ability to work independently and collaboratively in a team environment and with customers.
• Fast learner to appreciate the needs of various business models and industries.
• Extra points if you have.
• Certified and experienced in Snowflake.
• Any certification in AWS or Azure.
• First experiences in data modeling.
• Experience with data visualization tools such as Power BI, Tableau, Data Studio, and Looker.
• Experience with docker, Kubernetes.
• Experience in Relay42, Segment, Mparticle, Moengage.
• Experience in ML/AI related areas.
• Exposure in LangChain.
• Worked in more than one project and with various tech stacks.
• SI Vendor industry experience.
• Bachelor's degree in Mathematics, Statistics, data, Computer Science, or related field.
• Familiarity with statistical analysis and machine learning concepts is a plus.
• About us
• Seven Peaks is a world-class technology company specializing in Digital Transformation for companies worldwide, delivering scalable software solutions and experience design, aimed at driving business impact.
• We are based in Bangkok, Thailand, with a growing team of more than 180 industry professionals from over 25 different countries currently providing end-to-end Digital Product services - from Product Design, Mobile/Web Development, Cloud Native Solutions, Data and Analytics, IOT Integrated solutions to Quality Assurance and more.
• Seven Peaks acquired Morphosis, one of the leading UX/UI design companies in Thailand which is now part of the Seven Peaks group.
• For more information please visit https://sevenpeakssoftware.com and https://morphos.is/.
• 10(15) days annual paid vacation.
• Flexible working hours.
• Hybrid Working Policy.
• Health & Life insurance.
• Provident Fund.
• Free Lunch every Wednesday.
• Learning and Certifications support.
• Grade A Office in the heart of Bangkok, directly connect with MRT Queen Sirikit Station.
• International work environment with over 20 different nationalities in the team.
• Working with a wide and interesting portfolio of clients in SEA and globally.
• Opportunity to visit events and conferences.
• Standard perks such as free drinks and snacks in the office, team activities, trips and great parties.

ทักษะ:

Compliance

ประเภทงาน:

งานประจำ

• Monitor all data center systems including power, cooling, fire suppression, and physical security systems during the shift.
• Perform routine inspections and preventive maintenance of data center equipment to ensure optimal performance.
• Respond promptly to alerts, alarms, and incidents, escalating issues to higher-level technical teams or management as necessary.
• Maintain accurate logs and records of all operational activities, incidents, and maintenance tasks performed during the shift.
• Support the deployment, relocation, and removal of hardware and equipment in accordance with standard operating procedures.
• Ensure compliance with company policies, safety protocols, and regulatory requirements related to data center operations.
• Coordinate with cross-functional teams (network, facilities, security) to resolve operational issues efficiently.
• Assist in maintaining physical security and access control for the data center facility.
• Participate in shift handover meetings to ensure seamless transition and communication between shifts.
• Job QualificationsBachelor s degree in IT, Electrical, or related field preferred.
• Prior experience in data center operations or facility management is an advantage.
• Basic understanding of data center infrastructure components (power, cooling, fire safety, security).
• Ability to work in a 24/7 shift environment including nights, weekends, and holidays.
• Strong problem-solving skills and attention to detail.
• Ability to follow procedures and work independently or as part of a team.
• Physical ability to handle equipment and perform routine inspections.
• Fluent in English both written and verbal (Minimum 700 TOEIC score).
• Goal-Oriented, Unity, Learning, Flexible.

ทักษะ:

Sales, Negotiation, Industry trends

ประเภทงาน:

งานประจำ

• Manage and motivate a team of Data Center Sales Specialists and Client Managers to achieve sales targets and business objectives.
• Develop and execute sales strategies aligned with organizational goals and market dynamics.
• Allocate sales territories and targets effectively, ensuring operational plans support continuous improvement.
• Mentor, coach, and provide technical and commercial guidance to the sales team to enhance their effectiveness.
• Oversee sales forecasting, pipeline management, and reporting accuracy.
• Identify and pursue new business opportunities within existing and new accounts.
• Collaborate closely with Client Managers and pre-sales teams to qualify and close complex data center deals.
• Build and maintain strong relationships with key decision-makers, partners, and ecosystem stakeholders.
• Develop account plans and go-to-market strategies in partnership with vendors and internal teams.
• Support negotiation and deal closure processes, ensuring alignment with client needs and company offerings.
• Maintain deep knowledge of data center technologies including servers, storage, networking, cloud solutions, and software-defined infrastructure.
• Address technical challenges during the sales cycle and articulate value propositions tailored to client business goals.
• Work with technical architects to design and present comprehensive data center solutions.
• Stay current on industry trends, competitive landscape, and pricing strategies.
• Analyze market conditions, competitive positioning, and customer requirements to inform sales strategies.
• Collaborate with marketing and engineering teams to develop technical collateral, white papers, and presentations.
• Represent the company at trade events and industry associations to promote products and solutions.
• Ensure CRM and sales tools are updated accurately to reflect pipeline and opportunity status.
• Job QualificationsProven track record of minimum 5 years in data center sales, preferably with experience managing sales teams.
• Strong expertise in data center infrastructure solutions including compute, storage, networking, cloud, and software-defined technologies.
• Demonstrated ability to develop and execute sales strategies and manage complex sales cycles.
• Excellent leadership, coaching, and interpersonal skills.
• Strong business acumen with the ability to understand and align solutions to client business objectives.
• Experience working with channel partners, system integrators, and ecosystem alliances.
• Ability to work collaboratively across internal teams and with external stakeholders.
• Proficient in sales methodologies, CRM systems, and sales reporting tools.
• Willingness to travel as needed within the assigned territory.
• Fluent in English both written and verbal (Minimum 700 TOEIC score).
• Goal-Oriented, Unity, Learning, Flexible.

ทักษะ:

Product Owner, Product Design, Telesales

ประเภทงาน:

งานประจำ

• Lead end-to-end project execution from planning to delivery across digital initiatives.
• Collaborate with Data Science teams to apply AI/ML models and predictive analytics into product design and business workflows.
• Align business goals (e.g., telesales efficiency, lead scoring, revenue impact) with data-driven product strategy.
• Translate complex data outputs into actionable insights for business stakeholders.
• Drive project documentation, risk management, scope control, and cross-team alignment.
• Define success metrics, monitor post-launch performance, and iterate accordingly.
• Manage project budgets, change requests, and vendor coordination as needed..
• 7+ years in project management, preferably in digital transformation, data-driven products, or financial services.
• Experience leading cross-functional teams and collaborating with Data Science/Engineering.
• Familiarity with AI/ML applications, data modeling concepts, or analytics tools (you don t need to build models but should understand how to integrate them).
• Strong knowledge of project delivery frameworks (Agile, SDLC) and stakeholder management.
• Bonus: experience in telesales, CRM systems, or customer journey optimization.

ประเภทงาน:

ฝึกงาน

• Team IntroductionThe Global Business Solutions (GBS) team is responsible for the revenue growth of the TikTok business, and our teams include Sales, Marketing, Ops, Account Managers, Agency and partnerships, as well as Marketing Science. GBS is a dynamic, entrepreneurial, and ambitious client group, and our HRBPs who support them are too! We are excited to continue adding to our Human Resources team to attract, engage, and retain top talent to drive the continued growth of the organization. Responsibilities-Data Preparation and Analysis: analyze complex ads and marketing data to un ...
• Minimum Qualifications-Education Background: Academic background in quantitative fields such as mathematics, statistics, economics, or computer science.-Analytical Skills: Previous internship or project experience in business analysis or data-related roles, with the ability to analyze data and generate actionable insights. Experience in the ads or marketing industry is a plus.-Availability: Able to intern at least 3 days per week for a minimum of 3 months.Preferred Qualifications-Technical Skills: Familiarity with Excel, SQL, Python, or R, and foundational knowledge of data visualization tools like Tableau, Power BI, and Think-Cell.-Communication: Business-level English proficiency with strong verbal and written skills to effectively engage with stakeholders and present findings to non-technical audiences.-Problem-Solving & Teamwork: Strong problem-solving abilities, attention to detail, and the capability to collaborate effectively with cross-functional teams to implement solutions and drive results.By submitting an application for this role, you accept and agree to our global applicant privacy policy, which may be accessed here: https://careers.tiktok.com/legal/privacy.If you have any questions, please reach out to us at apac-earlycareers@tiktok.com

ทักษะ:

SAS, SQL, Tableau

ประเภทงาน:

งานประจำ

• Produce daily, weekly, monthly business report for the Collections Department.
• Develop and automated data processes, including routine and ad-hoc reports, to improve efficiency.
• Coordinated cross-functional teams to define business objectives and present complex data insights clearly.
• Analyzed and improved existing business reports and provided support for problem-solving and new business requirements.
• Enhance collector performance by implementing report for performance tracking, involving requirements gathering and report template design by using tools such as SAS.
• Design and develop data visualization, dashboards, to support business comprehend data and make critical decisions.
• Estimate costs and benefits for the sales campaign, incentive schema of the Collections Department.
• Bachelors and / or Masters degree in any field.
• 3+ years experience as MIS.
• Experience in using SAS, SQL, Powe BI, Tableau, Access and Excel (Pivot, VLOOKUP).

ทักษะ:

SAP, ERP, Quality Assurance

ประเภทงาน:

งานประจำ

• Support the implementation and integration of SAP S/4HANA for pricing operations.
• Ensure high data quality and governance across all pricing systems.
• Collaborate with IT and functional teams to enhance pricing system capabilities.
• Assist in business continuity and disaster recovery planning for pricing data.
• Conduct UAT testing and develop test scripts.
• Ensure smooth implementation with no business impacts.
• Bachelor's degree in Business Administration, Information Systems, Computer Science, or a related field.
• Strong proficiency in SAP or other ERP, including pricing condition records and system interfaces.
• Excellent data management and data quality assurance skills.
• Proficiency in Microsoft Excel and other data analysis tools.
• Strong analytical and problem-solving abilities.
• Effective communication and collaboration skills.
• Precision, attention to detail.
• Ability to quickly catch-up OTC process.
• Experience in OTC (Order to Cash), data management, or a related field. Pricing operations is a plus.
• Experience with SAP or other ERP implementation projects is highly preferred.
• Familiarity with CRM platforms.
• Familiarity with data governance and quality assurance practices.

ทักษะ:

Product Owner, Project Management, Data Analysis

ประเภทงาน:

งานประจำ

• Collaborate with business leaders to identify and prioritize analytics needs.
• Translate business goals into actionable data product and analytics requirements.
• Provide strategic recommendations for the data product roadmap based on business impact.
• Foster strong partnerships with stakeholders across functions.
• Data Product Ownership.
• Lead end-to-end development of data products from ideation to launch and adoption.
• Ensure that data solutions are cost-effective, user-friendly, and aligned with business priorities.
• Drive user adoption and monitor usage to ensure business value is realized.
• Provide technical guidance and support to the data team and business users.
• Project & Performance Management.
• Manage and prioritize data initiatives to meet agreed timelines and quality standards.
• Monitor progress, communicate updates, and report outcomes to stakeholders.
• When issues arise, ensure that arise they are resolved within reasonable timeline, and at root causes.
• Cross-functional Coordination.
• Collaborate with IT and other departments to understand upcoming initiatives that may affect data operations.
• Work with IT and cross-functional teams to mitigate risks and align technical execution with business timelines.
• Quality Assurance.
• Promote data integrity and quality across business processes.
• Ensure data governance policies and procedures are adhered to.
• Drive continuous improvement in data processes and analytics capabilities.
• Bachelor s degree in Business Analytics, Computer Science, Data Science, or a related field.
• Proven experience in a business partnering, IT business analyst, or IT product owner role, with the ability to influence and drive business data strategy.
• Strong project management abilities with experience in leading cross-functional projects.
• Strong ability to analyze user requirements, make recommendations and implement solution.
• Strong communication and interpersonal skills, with the ability to explain complex data concepts to non-technical stakeholders.
• Proficiency in data analysis tools and technologies (e.g., SQL, Python, Power BI).
• Strategic thinker with a business-focused mindset.
• Ability to prioritize and execute in high-pressured environment.
• Ability to work in a fast-paced, dynamic environment.
• Strong problem-solving skills.
• CP AXTRA | Lotus's
• CP AXTRA Public Company Limited.
• Nawamin Office: Buengkum, Bangkok 10230, Thailand.
• By applying for this position, you consent to the collection, use and disclosure of your personal data to us, our recruitment firms and all relevant third parties for the purpose of processing your application for this job position (or any other suitable positions within Lotus's and its subsidiaries, if any). You understand and acknowledge that your personal data will be processed in accordance with the law and our policy.

ทักษะ:

Payroll, Labor law, Finance

ประเภทงาน:

งานประจำ

• Prepare and process monthly payroll for all staff, including permanent, AEC, and temporary employees.
• Verify attendance, OT, leave records, and payroll adjustments in line with company policies and labor law requirements.
• Coordinate with finance and accounting for salary disbursements, statutory payments (SSO, provident fund, etc.), and year-end tax submissions (PND.1, PND.91).
• Maintain confidentiality and security of payroll data at all times.
• Handle payroll inquiries from employees and resolve discrepancies in a timely manner.
• Payroll Data Analysis & Reporting (30%).
• Analyze payroll trends, such as OT costs, headcount costs, and turnover-related payroll impacts.
• Provide regular and ad hoc reports to management (e.g., cost center reports, headcount budget vs. actual, overtime trend analysis).
• Collaborate with HRBP and Operations to provide insights that support manpower planning and cost control initiatives.
• Support HR projects such as cost-saving initiatives, audit reviews, or workforce optimization with relevant data.
• System & Process Improvement (10%).
• Maintain and enhance payroll data accuracy in HRIS/payroll systems.
• Collaborate with IT and system vendors (e.g., Prosoft) to improve payroll system functionality.
• Develop tools or templates to automate manual payroll tasks and reduce errors.
• Support digital transformation and HR analytics initiatives.
• Bachelor s degree in HR, Accounting, Finance, Business Administration, or related field.
• 3-5 years of payroll experience in a medium to large organization; experience with AEC workers and warehouse operations is a plus.
• Strong Excel and data analysis skills (e.g., pivot tables, v-lookups, basic formulas); Power BI knowledge is an advantage.
• Experience with HRIS/payroll systems (e.g., Prosoft, SAP, Workday) is preferred.
• Good understanding of Thai labor law, taxation, and statutory contributions.
• High attention to detail and accuracy.
• Analytical and problem-solving mindset.
• Ability to meet tight deadlines under pressure.
• Strong confidentiality and data integrity ethics.
• Collaborative and proactive communicator.

ทักษะ:

Research, Statistics, Python, English

ประเภทงาน:

งานประจำ

• Apply statistical and machine learning methods to large, complex data sets to draw insights and provide actionable recommendations.
• Solve complex problems on both technical and business sides using advanced analytical methods.
• Work with Engineering teams to implement end-to-end process from model development to testing, validation, and deployment.
• Research and develop new quantitative models and frameworks to enhance the company s data science capability.
• Basic Qualifications Bachelor s degree in Engineering, Computer Science, Math, Physics, Statistics or other areas that are highly quantitative.
• Experience with statistical programming languages (e.g., Python, R, pandas) and database software (e.g., SQL, PySpark).
• Knowledge in statistics (e.g., hypothesis testing, regression) and machine learning.
• Strong analytical problem-solving capabilities.
• Preferred Qualifications Master s or PhD degree in a quantitative discipline.
• Experience applying machine learning and statistical methods to large datasets.
• Solid understanding of advanced statistics and machine learning practices.
• Experience in one or more specialized machine learning areas (e.g., NLP, deep learning, recommendation systems, reinforcement learning).
• Outstanding coding skills or software development background.
• Ability to think independently and communicate complex ideas to less technical persons.
• Excellent command of English in both verbal and written forms.
• We're committed to bringing passion and customer focus to the business. If you like wild growth and working with happy, enthusiastic over-achievers, you'll enjoy your career with us.

ประเภทงาน:

งานประจำ

• Develop the analytics strategy of AIS properties, both of website and applications, to gather all data and insight and conduct collection, tracking and analysis of data and the generation of fact-based insights using digital analytic tools including Adobe Analytic, Google Analytic 4 and truehits.net.
• Analysis of digital marketing traffic and channels of paid, own, earn web and app, customer journey and performance marketing analysis-purchase funnel.
• Implement the data driven marketing guideline document and use data driven decision ...
• Execute assigned projects in areas such as analytics implementation, use case, data integration, tag management, online tracking etc.
• Explore the latest Marketing Technologies (MarTech) trends and technological advances including Analytic, DMP, CDP, SEO tools and Social Listening tools etc.
• At least 3 years professional work experience in digital marketing.
• Education background in IT, Statistics.
• Analytical and systematic thinking skills with using Google Analytics 4 tool..

ประสบการณ์:

5 ปีขึ้นไป

ประเภทงาน:

งานประจำ

• Associate's degree, trade school certification, or other certified training in a related technical field, or equivalent practical experience.
• 5 years of experience in operations, data center, or facility operations experience.
• 2 years of experience in critical facilities management, including facility, technical, and team management.
• Master's degree in a related Engineering field.
• Experience collaborating with other business units to meet company goals and standards.
• Understanding of the operations and maintenance of electrical, control systems, and mechanical systems in a data center environment.
• Ability to develop and grow team members, through coaching, mentoring, and training.
• Ability to set, prioritize, and achieve business objectives.
• At Google, we aim to foster Googley work environments that are collaborative, friendly and fun. The Facilities Management team brings our spaces to life as you oversee the daily operations of our offices. While roles with similar names at other companies can be far more mundane, you're a creative, organized customer service specialist, who takes pride in seeing things run smoothly and efficiently. You go out of your way to make sure that clients are not only satisfied, but singing Google's praises. You're comfortable in a fast-paced environment with the highest standards of excellence. You aren't afraid to have fun with your job, and bring an enthusiasm, dedication and a collaborative spirit to build and maintain office spaces that facilitate some of the world's most cutting edge innovation.
• As a Data Center Facilities Manager, you will be responsible for leading a team in 24/7 Data Center operations. You will be responsible for working towards Service-level agreements (SLAs) with internal teams on uptime, efficiencies and cost. You will grow the campus team to meet the needs of the business, and leverage technical talent across the campus and identify key hiring needs for regional data centers.
• In this role, you will develop creative approaches to reducing operational costs while improving overall data center efficiency. You ensure that environmental and safety standards are consistently met, identifying problems and making repairs in emergency situations or abnormal conditions, you will manage data center performance issues and outages to minimize the recovery time from failures.
• Behind everything our users see online is the architecture built by the Technical Infrastructure team to keep it running. From developing and maintaining our data centers to building the next generation of Google platforms, we make Google's product portfolio possible. We're proud to be our engineers' engineers and love voiding warranties by taking things apart so we can rebuild them. We keep our networks up and running, ensuring our users have the best and fastest experience possible.
• Plan and execute campus operational budgets, expense forecasting and manage established budgets.
• Be responsible for meeting service level agreements (SLAs) with internal teams on uptime, efficiencies and cost.
• Lead efforts to integrate Google-wide strategy and execution with internal and external business partners.
• Empower your team through hiring, talent development, and career support. Integrate Google-wide strategy with internal and external partners, ensuring aligned goals.
• Implement and drive the safety culture at the site. Lead by example, deliver results, develop people, and build community.
• 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 Google's EEO Policy and EEO is the Law. If you have a disability or special need that requires accommodation, please let us know by completing our Accommodations for Applicants form.

ทักษะ:

Compliance, AutoCAD

ประเภทงาน:

งานประจำ

• Assist in the design and development of mechanical systems including HVAC, Fire protection, and Hydraulic systems tailored for data center needs.
• Help plan and manage maintenance activities for mechanical systems, ensuring adherence to industry standards and operational efficiency.
• Maintain accurate records of mechanical system designs, maintenance activities, and compliance with safety regulations.
• Participate in site inspections to assess mechanical systems' condition and ensure compliance with design specifications.
• Assist in coordinating with third-party vendors for maintenance and upgrades, ensuring that all work meets established standards.
• Be available to respond to on-site incidents and assist senior engineers in troubleshooting mechanical failures.
• Engage in ongoing training and professional development opportunities to stay updated on the latest technologies in the data center industry.
• Bachelor s degree in mechanical engineering or a related field is required.
• At least 4 years of experience in mechanical engineering, preferably within a data center or critical environment.
• Basic understanding of HVAC systems, mechanical design principles, and relevant software tools (e.g., AutoCAD).
• Strong problem-solving abilities to identify issues and propose effective solutions.
• Good verbal and written communication skills for effective collaboration with team members and vendors.
• Ability to work well within a team environment while also being capable of taking initiative when necessary.
• Be able to travel to the provincial area.
• Fluent in English both written and verbal (Minimum 750 TOEIC score).
• Goal-Oriented, Unity, Learning, Flexible.

ทักษะ:

Compliance, AutoCAD, Revit

ประเภทงาน:

งานประจำ

• Support the design and implementation of electrical distribution systems, including high voltage (HV), low voltage (LV) and DCIM or ECMS systems tailored for data center applications.
• Help coordinate and execute maintenance activities for electrical systems, ensuring compliance with industry standards and operational efficiency.
• Assist in diagnosing electrical issues and implementing solutions to minimize downtime and ensure continuous operation of critical systems.
• Maintain accurate records of electrical system configurations, maintenance schedules, and compliance with safety regulations.
• Work with third-party vendors and contractors to ensure that their work meets established standards and contractual obligations.
• Participate in emergency response efforts, providing support during incidents to restore normal operations as quickly as possible.
• Engage in ongoing training to stay updated on the latest technologies and best practices in electrical engineering within data centers.
• Job Qualifications.
• Bachelor s degree in electrical engineering or a related field is required.
• 3-4 years of experience in electrical engineering, preferably within a data center or similar critical environment. Internships or co-op experiences are beneficial.
• Basic knowledge of electrical systems, including transformers, switchgear, UPS systems, generators, DDC, PLC and relevant software tools (e.g., AutoCAD, Revit, ETAP).
• Familiarity with electrical safety protocols is essential.
• Strong problem-solving abilities to identify issues quickly and propose effective solutions.
• Good verbal and written communication skills for effective collaboration with team members and external partners.
• Ability to work effectively within a team-oriented environment while being proactive in taking on responsibilities.
• Fluent in English both written and verbal (Minimum 750 TOEIC score).
• Goal-Oriented, Unity, Learning, Flexible.

ทักษะ:

Excel, SQL, eCommerce

ประเภทงาน:

งานประจำ

• Oct 2025.
• Analyze platform data using Excel and/or SQL to identify policy violations, abnormal behaviors, and operational leakage.
• Investigate circumvention tactics and identify gaps in SOPs or detection models.
• Propose data-backed solutions to close enforcement or process loopholes.
• Support enforcement actions and platform sweeps in line with policy requirements.
• Currently pursuing or recently completed a Bachelor s degree.
• Strong analytical skills with proficiency in Excel and/or SQL.
• Detail-oriented with a strong sense of curiosity and critical thinking.
• Ability to work independently and follow through on investigative tasks.
• Experience in e-commerce or technology-related roles or prior exposure of ecommerce platforms.
• Interest in platform governance, risk, or operational policy.
• Ability to thrive in a fast-paced, ambiguous environment.
• By submitting an application for this role, you accept and agree to our global applicant privacy policy, which may be accessed here: https://careers.tiktok.com/legal/privacy. If you have any questions, please reach out to us at apac-earlycareers@tiktok.com.

ประเภทงาน:

งานประจำ

• SAP HR DM.
• About Accenture.
• We work with one shared purpose: to deliver on the promise of technology and human ingenuity. Every day, more than 775,000 of us help our stakeholders continuously reinvent. Together, we drive positive change and deliver value to our clients, partners, shareholders, communities, and each other.We believe that delivering value requires innovation, and innovation thrives in an inclusive and diverse environment. We acti ...
• Visit us at www.accenture.com.
• Equal Employment Opportunity Statement.
• All employment decisions shall be made without regard to age, race, creed, color, religion, sex, national origin, ancestry, disability status, veteran status, sexual orientation, gender identity or expression, genetic information, marital status, citizenship status or any other basis as protected by federal, state, or local law.
• Job candidates will not be obligated to disclose sealed or expunged records of conviction or arrest as part of the hiring process.
• Accenture is committed to providing veteran employment opportunities to our service men and women.

ทักษะ:

Data Analysis, Statistics, Python

ประเภทงาน:

งานประจำ

• Data Analysis: Collect, preprocess, and analyze large datasets to identify trends and actionable insights for retail business challenges..
• Model Development: Design, train, and deploy machine learning models for tasks such as demand forecasting, customer behavior analysis, and inventory optimization..
• Collaboration: Partner with cross-functional teams, including data engineers and business stakeholders, to translate requirements into data-driven solutions..
• Visualization and Communication: Present insights and findings through visualizations and dashboards to inform decision-making..
• Innovation: Stay updated on the latest tools and techniques in data science and retail analytics..
• Engineer and optimize features to improve machine learning model performance.
• Automate feature extraction pipelines for scalable workflows.
• Contribute to the deployment, monitoring, and retraining of machine learning models in production environments.
• Assist in designing and maintaining data pipelines and ensuring data quality..
• Education: Bachelor s or Master s degree in Data Science, Computer Science, Statistics, Mathematics, or a related field..
• Experience: At least 2 years of experience in data science or a related field..
• Proficiency in Python for data analysis and machine learning.
• Strong SQL skills for managing and querying large datasets.
• Experience with machine learning frameworks (e.g., scikit-learn, TensorFlow, PyTorch).
• Knowledge of data visualization tools (e.g., Tableau, Power BI, matplotlib).
• Soft Skills: Strong problem-solving, communication, and teamwork abilities..
• Exposure to MLOps tools (e.g., MLflow, Kubeflow, AWS SageMaker).
• Familiarity with data engineering tools (e.g., Apache Spark, Kafka, Airflow).
• Experience in building real-time analytics or personalization systems.

ประสบการณ์:

5 ปีขึ้นไป

ทักษะ:

ETL, Quantitative Analysis, Industry trends

ประเภทงาน:

งานประจำ

• 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.
• Apply expertise in quantitative analysis, data mining and presentation of data to de ...
• Extremely flexible and experience managing multiple tasks and priorities on deadlines.
• Applying technical knowledge to architect solutions that meet business and IT needs, create Data Platform roadmaps, and enable the Data Platforms to scale to support additional use cases.
• 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 3-5 years of relevant consulting experience with focus on advanced analytics and business intelligence or similar roles. New graduated are welcome!.
• Communication and critical thinking are essential, must be able to listen and understand the question and develop and deliver clear insights.
• Experience communicating the results of analysis to both technical and non-technical audiences.
• Independent and able to manage and prioritize workload.
• Ability to adapt quickly and positively to change.
• Breadth of technical passion, desire to learn and knowledge services.
• Willingness and ability to travel to meet client if need.
• Ideally, you ll also have.
• Experience working business or IT transformation projects that have supported data science, business intelligence, artificial intelligence, and cloud applications at scale.
• Ability to communicate clearly and succinctly, adjusts to a variety of styles and audiences with ability to tell compelling stories with the data.
• Experience with C#, VBA, JavaScript, R.
• A vast understanding of key BI trends and the BI vendor landscape.
• Working experience with Agile and/or Scrum methods of delivery.
• Working experience with design led thinking.
• Microsoft Certifications in the Data & AI domain.
• We re interested in passionate leaders with strong vision and a desire to deeply understand the trends at the intersection of business and Data and AI. We want a customer-focused professional who is motivated to drive the creation of great enterprise products and who can collaborate and partner with other product teams, and engineers. If you have a genuine passion for helping businesses achieve the full potential of their data, this role is for you.
• What we offer.
• We offer a competitive compensation package where you ll be rewarded based on your performance and recognized for the value you bring to our business. In addition, our Total Rewards package includes medical and dental coverage, pension and 401(k) plans, and a wide range of paid time off options. Under our flexible vacation policy, you ll decide how much vacation time you need based on your own personal circumstances. You ll also be granted time off for designated EY Paid Holidays, Winter/Summer breaks, Personal/Family Care, and other leaves of absence when needed to support your physical, financial, and emotional well-being.
• Continuous learning: You ll develop the mindset and skills to navigate whatever comes next.
• Success as defined by you: We ll provide the tools and flexibility, so you can make a meaningful impact, your way.
• Transformative leadership: We ll give you the insights, coaching and confidence to be the leader the world needs.
• Diverse and inclusive culture: You ll be embraced for who you are and empowered to use your voice to help others find theirs.
• If you can demonstrate that you meet the criteria above, please contact us as soon as possible.
• The exceptional EY experience. It s yours to build.
• EY | Building a better working world.
• EY exists to build a better working world, helping to create long-term value for clients, people and society and build trust in the capital markets.
• Enabled by data and technology, diverse EY teams in over 150 countries provide trust through assurance and help clients grow, transform and operate.
• Working across assurance, consulting, law, strategy, tax and transactions, EY teams ask better questions to find new answers for the complex issues facing our world today.
• EY is an equal opportunity, affirmative action employer providing equal employment opportunities to applicants and employees without regard to race, color, religion, age, sex, sexual orientation, gender identity/expression, national origin, protected veteran status, disability status, or any other legally protected basis, in accordance with applicable law.

ทักษะ:

ETL

ประเภทงาน:

งานประจำ

• Design, develop, and modify ETL pipelines for efficient data processing and integration.
• Optimize long-running batches and enhance overall system performance.
• Automate data validation and quality checks within ETL workflows.
• BI Reporting.
• Develop new BI reports and dashboards based on business requirements using tools like OBIEE/BIP and Microsoft PowerBI.
• Support and enhance existing reports, ensuring accuracy and relevance.
• Collaborate with business users to gather requirements and translate them into actionable reporting solutions.
• Data Management.
• Identify, analyze, and resolve data discrepancies and quality issues.
• Implement data fixes and validate results to maintain data integrity.
• Assist in building and maintaining data structures and views for better insights.
• System Support & Collaboration.
• Provide technical assistance for troubleshooting and resolving issues in data integrations and BI systems.
• Collaborate with cross-functional teams to prioritize and address data-related requests.
• Document processes, technical designs, and workflows to facilitate knowledge sharing.
• Process Improvement.
• Contribute to the enhancement of existing systems by implementing the best practices for data pipelines and BI development.
• Develop and maintain detailed logging and alert systems for proactive issue resolution.