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Experience:

8 years required

Skills:

Project Management, Industrial Engineering, English

Job type:

Full-time

• Bachelor's degree in a technical field, or equivalent practical experience.
• 8 years of experience in program management.
• Experience with technical teams, project management, engineering, and construction of data centers or mission facilities.
• Experience with data center equipment/environments (e.g., civil/structural, electrical switchgear, generators, chillers, security monitoring).
• Ability to communicate in Thai and English fluently to support vendor and contractor management in this region.
• Preferred qualifications:Master's degree in Architectural, Electrical, Mechanical or Industrial Engineering, Construction Management, or related technical field.
• Certification in Construction manager, Project Management Professional (PMP), registered architect, etc.
• 10 years of experience managing multi-group/disciplinary construction projects with civil, architectural, electrical, mechanical, controls, security monitoring, fire safety, networking/fiber, server equipment, systems, and infrastructure.
• Experience in requirements gathering, resource organization, task prioritization, and scheduling and achieving objectives within set goals.
• Experience managing vendor relationships and an understanding of standard practices in the design and construction industry, and pursuit of industry leading practices.
• Knowledge of fast track design build processes.
• Google's projects, like our users, span the globe and require managers to keep the big picture in focus while being able to dive into the unique engineering challenges we face daily. As a Technical Program Manager at Google, you lead complex, multi-disciplinary engineering projects using your engineering expertise. You plan requirements with internal customers and usher projects through the entire project lifecycle. This includes managing project schedules, identifying risks and clearly communicating them to project stakeholders. You're equally at home explaining your team's analyses and recommendations to executives as you are discussing the technical trade-offs in product development with engineers.Using your extensive technical and leadership expertise, you manage projects of various size and scope, identifying future opportunities, improving processes and driving the technical directions of your programs.
• 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.
• ResponsibilitiesProvide management of data centers at multiple scales.
• Manage and coordinate the needs of multiple partner teams, while managing changes and maintaining a focus on keeping the project on schedule, budget, quality, and safety.
• Manage technical projects in a rapidly changing industry.
• Deliver data center facility from start to commissioning and understand the nuances and risks that will need to be managed.
• 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 alsoGoogle's EEO Policy andEEO is the Law. If you have a disability or special need that requires accommodation, please let us know by completing ourAccommodations for Applicants form.

Skills:

ETL, SQL, Hadoop

Job type:

Full-time

• Conduct meeting with users to understand the data requirements and perform database design based on data understanding and requirements with consideration for performance.
• Maintain data dictionary, relationship and its interpretation.
• Analyze problem and find resolution, as well as work closely with administrators to monitor performance and advise any necessary infrastructure changes.
• Work with business domain experts, data scientists and application developers to identify data that is relevant for analysis.
• Develop big data solutions for batch processing and near real-time streaming.
• Own end-to-end data ETL/ELT process framework from Data Source to Data warehouse.
• Select and integrate appropriate tools and frameworks required to provide requested capabilities.
• Design and develop BI solutions.
• Hands-on development mentality, with a willingness to troubleshoot and solve complex problems.
• Keep abreast of new developments in the big data ecosystem and learn new technologies.
• Ability to effectively work independently and handle multiple priorities.
• Master degree or higher in Computer Science, Computer Engineering, Information Technology, Management Information System or an IT related field.
• 3+ year's experience in Data Management or Data Engineer (Retail or E-Commerce business is preferable).
• Expert experience in query language (SQL), Databrick SQL, PostgreSQL.
• Experience in BigData Technologies like Hadoop, Apache Spark, Databrick.
• Experience in Python is a must.
• Knowledge in machine/statistical learning, data mining is a plus.
• Experience in Generative AI is a plus.
• Strong analytical, problem solving, communication and interpersonal skills.
• Having good attitude toward team working and willing to work hard.
• 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. .

Experience:

3 years required

Skills:

Microsoft Office, Negotiation, Good Communication Skills, Problem Solving, English

Job type:

Full-time

• จบการศึกษาระดับปริญญาตรี ทุกสาขา.
• มีประสบการณ์ในสายงาน Call Center, Customer Service.
• มีความสามารถในการเป็นผู้นำและสามารถกระตุ้นและฝึกอบรมทีมงานได้.
• มีความสามารถในการคิดวิเคราะห์และแก้ไขปัญหา.
• สามารถใช้โปรแกรม MS Office เป็นอย่างดี.
• สามารถทำงานเป็นกะได้.
• หากมีความรู้เกี่ยวกับธนาคารและทักษะภาษาอังกฤษจะพิจารณาเป็นพิเศษ.
• หมายเหตุ: ธนาคารมีความจำเป็นจะต้องดำเนินการตรวจสอบและเก็บข้อมูลประวัติอาชญากรรมของผู้สมัครในตำแหน่งงานนี้ เพื่อตรวจสอบคุณสมบัติหรือลักษณะต้องห้ามตามนโยบายของธนาคาร.

Skills:

Corporate Law, Risk Management, English

Job type:

Full-time

• Responsible for security management in Suksawas Sortation Center, ensuring the safety of company assets and personnel.
• Develop and implement comprehensive security policies and procedures in compliance with laws and regulations and Alibaba International's security standards.
• Monitor and assess potential security risks, establish preventive measures, and minimize the occurrence of security incidents.
• Coordinate and lead the security team, conducting regular training to build skills and competence of security manpower.
• Maintain a good relationship with local law enforcement agencies to handle potential security incidents and ensure compliance.
• Execute security protocol to manage and enforce the compliance of parties involved including staff, IC, subcon or etc.
• Managing facility and infra structure support in build up cctv coverage in place insuring it been manage function as intended.
• Bachelor's degree or above in Security Management, Law, or related fields.
• More than ten years of experience in security management, with a preference for experience in Thailand or similar regions.
• Familiarity with Thai security regulations and International's security management system with strong risk assessment capabilities.
• Qualified TAPA FSR (if applicable) would be advantage.
• Excellent leadership and team collaboration skills, capable of guiding and motivating team members effectively.
• Fluent in Thai and English, with strong communication and coordination abilities to work effectively with multiple departments.

Skills:

Power BI, SQL, Python, English

Job type:

Full-time

• Understand and document the business requirements for developing effective data solutions.
• Develop dashboards, reports, and analyses that provide actionable insights.
• Balance retail/wholesale business acumen with data management expertise and technical proficiency.
• Collaborate closely with data engineers, data scientists, and business partners.
• Deliver robust, scalable data solutions with a focus on speed, performance, security, governance, and architecture.
• Mentor junior data analysts and promote best practices within the team.
• Requirements5+ years of experience as a data analyst, preferably in retail or wholesale industries.
• Proven expertise in Power BI, SQL, Python and Cloud Data Platforms.
• Demonstrated ability to translate complex business requirements into effective data solutions.
• Strong leadership skills, including:Mentoring and developing junior analysts.
• Managing cross-functional projects.
• Guiding teams through complex BI development initiatives.
• Excellent communication skills, including:Fluency in verbal and written English.
• Ability to clearly articulate technical concepts to stakeholders with varying technical backgrounds.
• Track record of successful collaboration with various departments and stakeholders.

Skills:

Compliance, Legal

Job type:

Full-time

• Develop and implement a comprehensive data governance strategy aligned with organizational goals and industry best practices.
• Establish data governance frameworks, policies, and procedures to ensure the quality, availability, and security of data assets.
• Data Quality Management:Define data quality standards and metrics, and establish processes for monitoring and improving data quality.
• Implement data profiling and cleansing initiatives to enhance data accuracy and reliability.
• Data Security and Compliance:Ensure compliance with data privacy regulations (e.g., PDPA) and internal data security policies.
• Collaborate with legal and compliance teams to mitigate risks associated with data handling and usage.
• Stakeholder Engagement and Communication:Collaborate with business units and IT teams to understand data requirements and promote data governance best practices.
• Communicate data governance principles, policies, and guidelines to stakeholders, fostering a culture of data stewardship and accountability.
• Risk Management and Issue Resolution:Identify data governance risks and issues, and develop mitigation strategies and action plans.
• Monitor and report on data governance metrics and key performance indicators (KPIs) to track progress and address deficiencies.
• Training and Education:Provide training sessions and workshops on data governance principles, policies, and tools to raise awareness and build capabilities across the organization.
• Support ongoing education and awareness initiatives to ensure understanding and compliance with data governance standards.
• BenefitsProven experience in data governance and data management topics, including its relevant systems.
• 5+ years of experience in data governance, data management, or related roles, with a solid understanding of data governance frameworks and practices.
• Strong knowledge of data privacy regulations and compliance requirements (e.g., PDPA).
• Experience with data quality management tools and methodologies. Alation-specific certifications or training would be an advantage.
• Excellent communication and interpersonal skills, with the ability to influence stakeholders at all levels of the organization.
• Strong understanding of data governance framework and practices and ability to development policies and standards.

Skills:

Automation, SQL, Data Warehousing

Job type:

Full-time

• Act as the first point of contact for users facing issues related to data and reporting.
• Manage, track, and resolve incidents, service requests, and inquiries via the ticketing system.
• Classify and prioritize incoming tickets based on severity, impact, and urgency.
• Respond to and resolve user tickets in a timely and efficient manner.
• Escalate unresolved or complex issues to appropriate internal teams while maintaining clear communication with the users.
• Diagnose, troubleshoot, and resolve data-related issues, including reporting errors, data discrepancies, and system malfunctions.
• Collaborate with other teams (data engineers, data scientists, data analysts, and other IT teams) to address complex issues.
• Provide clear and comprehensive updates to users on incident status and resolution timelines.
• Provide technical support to end-users via phone, email, chat, and ticketing system.
• Process user requests for new reports, data extracts, or updates to existing data views.
• Coordinate with relevant stakeholders to ensure requests are completed accurately and efficiently.
• Respond to user inquiries about reporting tools, data access, and system functionalities.
• Provide guidance and training to users on self-service reporting tools and best practices.
• Maintain an updated knowledge base for frequently asked questions and user guidance.
• Contribute to the development and maintenance of knowledge base articles.
• Analyze recurring issues and recommend changes to improve system stability and user experience.
• Collaborate with development and data teams to identify opportunities for automation and improved processes.
• Collaborate with other teams to improve system performance and user experience.
• Provide on-call support during evenings, weekends, or holidays as required.
• RequirementsBachelor's degree in Computer Science, Information Technology, or related field.
• Proficiency in SQL and database querying for troubleshooting and resolving data-related issues.
• Strong understanding of database management and concepts.
• Knowledge of data warehousing concepts and ETL processes.
• Experience with business intelligence and data visualization tools (e.g., Power BI, Oracle OBIEE, Oracle BIP).
• Familiarity with data visualization and reporting systems.
• Experience with cloud platforms (AWS, Azure, GCP, or Oracle Cloud).
• Strong analytical and problem-solving skills.
• Excellent communication skills, both written and verbal, with the ability to explain technical concepts to non-technical users.
• Ability to manage multiple tasks, prioritize effectively, and work under pressure.
• Strong customer service orientation and detail-oriented with a focus on delivering high-quality results.

Experience:

3 years required

Skills:

Business Development, Data Analysis, SQL, English

Job type:

Full-time

• Lead the development and execution of data-driven strategies to optimize sales and business development efforts within seller segment.
• Analyze large datasets to identify trends, opportunities, and potential risks, providing actionable insights to the sales and category management teams.
• Collaborate with cross-functional teams to design and implement data visualization tools and dashboards for monitoring performance and decision-making.
• Monitor market trends, competitors, and customer behavior to inform category strategies and adjust as needed to maintain a competitive edge.
• Develop and maintain predictive models to forecast sales, identify potential upselling and cross-selling opportunities, and assess the impact of promotional activities.
• Bachelor's degree in Business Administration.
• Minimum of 3 years of experience in data analytics, with a focus on sales and/or category management in a fast-paced, e-commerce environment.
• Proficient in using data analysis tools such as SQL, Python, R, and experience with data visualization platforms like Tableau or Power BI.
• Strong understanding of statistical analysis and modeling techniques, with the ability to communicate complex findings to non-technical stakeholders.
• Excellent interpersonal and communication skills, capable of building relationships and influencing decision-making across different teams.

Skills:

Data Analysis, SQL, Excel, English

Job type:

Full-time

• Data Analysis: Conduct in-depth analysis of retail and wholesale business data to address specific business questions and challenges.
• Insight Generation: Interpret results from dashboards and data analyses to develop actionable insights and strategic recommendations.
• Requirement Gathering: Identify business problems, gather requirements, and propose potential solutions, including leveraging AI to enhance business operations.
• ML Model creations: Create data analytic model including both deterministic and machine learning model.
• AI vendors coordination's: Collaborate with external AI suppliers to align project objectives with technological capabilities.
• Cross-Departmental Collaboration: Work with various departments to develop and implement data-driven strategies that optimize business processes and decision-making.
• Communication: Act as a liaison between stakeholders and AI vendors, ensuring clear communication understanding of project requirements.
• Data analytics and AI Strategy Design; Design and recommend how Business Intelligence (BI) and AI technologies can address business problems and provide further insights.
• Decision making support: Present key findings from own analysis and strategic recommendations to business counterparts and senior management, focusing on project approaches and strategic planning.
• Bachelors' Degree or higher in Computer Science, Engineering, Information Technology, Management Information System.
• Strong business acumen, with a deep understanding of retail and wholesale business.
• At least 5 years of proven experience as a data analytic role (Retail or E-Commerce Business is preferable).
• Hands-on Experience in SQL, data cloud platform (e.g. Databricks, Snowflake, GCP, or AWS) and high proficiency in excel.
• Good knowledge of Statistics.
• Experience in Python (Pandas, Numpy, SparkSQL), Data Visualization (Tableau, Power BI) is a plus.
• Excellent communication skills with a ability to convey complex findings to non-technical stakeholders.
• Fluent in Thai and English.
• Having good attitude toward team working & willing to work hard.

Skills:

Data Analysis, SQL, Python

Job type:

Full-time

• Collaborate with business leaders to identify and prioritize data needs.
• Translate business goals into data requirements and actionable insights.
• Develop and maintain strong relationships with stakeholders across the organization.
• Lead the development and implementation of data strategies that align with business objectives.
• Ensure data governance policies and procedures are adhered to.
• Champion data quality, integrity, and security across the organization.
• Oversee the delivery of advanced analytics and business intelligence solutions.
• Provide strategic insights and recommendations based on data analysis.
• Utilize data to identify trends, opportunities, and potential risks.
• Mentor and guide data analysts and data scientists within the team.
• Drive continuous improvement in data processes and analytics capabilities.
• Manage and prioritize data projects to ensure timely delivery.
• Coordinate with IT and other departments to implement data solutions.
• Monitor and report on project progress and outcomes.
• Stay updated on the latest data technologies and methodologies.
• Ensure the use of best practices in data analytics and data science.
• Provide technical guidance and support to the team.
• Bachelor s degree in Data Science, Computer Science, Business Analytics, or a related field.
• Proven experience in a business partnering role, with the ability to influence and drive business strategy.
• Proficiency in data analysis tools and technologies (e.g., SQL, Python, Power BI).
• Strong project management abilities with experience in leading cross-functional projects.
• Has Finance and Accounting knowledge will be a plus.
• Strong ability to analyze user requirements, make recommendations and implement solution.
• Strategic thinker with a business-focused mindset.
• Strong oral and written communication skills.
• Strong communication and interpersonal skills, with the ability to explain complex data concepts to non-technical stakeholders.
• 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. .

Experience:

10 years required

Skills:

Industry trends, Compliance, Statistics

Job type:

Full-time

• Develop and execute a comprehensive analytics strategy tailored to the retail sector, integrating our data platform layer to improve sales, customer retention, and operational efficiency.
• Lead and mentor a team of analysts at CP Axtra, fostering a culture of data-driven decision-making and continuous improvement.
• Stay abreast of industry trends and technological advancements in retail analytics and data platforms to maintain a competitive edge.
• Implement and oversee robust data governance practices specific to retail, ensuring data accuracy, integrity, and compliance with regulatory standards within our data platform layer.
• Manage seamless integration of data from multiple sources including POS systems, CRM platforms, online transactions, and third-party data providers into our data platform at CP Axtra.
• Design and develop advanced analytical models and algorithms leveraging our data platform layer to derive actionable insights related to customer behavior, product performance, and market trends.
• Conduct in-depth analysis using statistical methods and machine learning techniques to optimize pricing strategies, inventory management, and promotional campaigns.
• Collaborate closely with retail operations, marketing, and sales teams at CPaxtra to understand business objectives and provide analytical support for strategic decision-making, leveraging insights from the integrated data platform.
• Identify opportunities to enhance customer segmentation, personalized marketing efforts, and overall customer satisfaction through data-driven recommendations.
• Define and monitor key performance indicators (KPIs) related to retail metrics such as sales conversion rates, basket analysis, and customer lifetime value, utilizing data from our integrated platform at CPaxtra.
• Continuously assess and optimize business processes based on data insights to drive revenue growth and operational efficiency.
• Present complex analytical findings and recommendations derived from our data platform in a clear and compelling manner to senior leadership and stakeholders at CP Axtra.
• Collaborate with cross-functional teams to implement data-driven solutions and initiatives that align with organizational goals and leverage our integrated data platform layer effectively.
• Bachelor s degree in Statistics, Mathematics, Economics, Computer Science, or a related field (Master s or PhD preferred).
• 10+ years of progressive experience in analytics, data science, or business intelligence within the retail industry, with a strong focus on data platform integration.
• Experience with cloud-based data platforms and big data technologies.
• Proficiency in statistical analysis tools (e.g., Python, R), database querying languages (e.g., SQL), and data visualization software (e.g., Tableau).
• Strong understanding of retail operations, including inventory management, merchandising strategies, and customer journey mapping, coupled with experience in leveraging integrated data platforms.
• Excellent leadership skills with a proven ability to manage and inspire a team of analysts in a dynamic and fast-paced environment.
• Strategic thinking and problem-solving skills with a focus on driving business value.
• Strong understanding of recommendation/personalization algorithms and data processing technologies.
• 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. .

Skills:

Project Management, SQL, Python, English

Job type:

Full-time

• Adjust language models that have already been trained for generative AI applications Ensure that the LLMs and pipelines based on LLMs are tuned and released.
• Create and implement LLMs for various content creation jobs Develop and communicate roadmaps for data science projects.
• Design effective agile workflows and manage a cycle of deliverables that meet timeline and resource constraints.
• Serve as a bridge between stakeholders and AI suppliers to facilitate seamless communication and understanding of project requirements.
• Work closely with external AI suppliers to ensure alignment between project goals and technological capabilities.
• Identify and gather data sets necessary for AI projects.
• Prior experience in Machine Learning, Deep Learning, and AI algorithm to solve respective business cases and pain points.
• Prior hands-on experience in data-mining techniques to better understand each pain point and provide insights.
• Able to design and conduct analysis to support product & channel improvement and development.
• Present key findings and recommendations to business counter parties and senior management on project approach and strategic planning.
• Bachelor degree or higher in Computer Science, Computer Engineering, Information Technology, Management Information System or an IT related field.
• Native Thai speaker & fluent in English.
• 3+ years of proven experience as a Data Scientist with a focus on project management (Retail or E-Commerce business is preferable).
• At least 2+ years of relevant experience as an LLM Data Scientist Experience in SQL and Python (Pandas, Numpy, SparkSQL).
• Ability to manipulate and analyze complex, high-volume, high-dimensionality data from varying sources.
• Experience in Big Data Technologies like Hadoop, Apache Spark, Databrick.
• Experience in machine learning and deep learning (Tensorflow, Keras, Scikit-learn).
• Good Knowledge of Statistics.
• Experience in Data Visualization (Tableau, PowerBI) is a plus.
• Excellent communication skills with the ability to convey complex findings to non-technical stakeholders.
• Having good attitude toward team working and willing to work hard.

Skills:

Business Development, Creative Thinking, Project Management, English

Job type:

Full-time

• Strong analytical and problem-solving skills to identify commercial opportunity.
• Working well in a cross-disciplinary team with different types of stakeholders (IT, Agency, Business, Management).
• Business Development of Data Intelligence for corporate strategy.
• Analyze internal and external data in various aspects to identify threats & opportunities and provide information/report for management or related business unit team to plan activities and strategies.
• Participate in the initiative's development plan of business unit / brand plans and align with corporate strategy, objectives and KPIs.
• Coordinate and consolidate with the related department to implement a project or tracking the project progress and provide corrective supervision if necessary.
• Create and deliver insights report on new ideas to the management team or business units and seek appropriate decisions, directions, and approvals.
• Bachelor s or Master s degree in business or related field of study.
• Minimum 5-8 years Performance Management function / Commercial Analyst roles.
• Experience in corporate/channel/brand/segment strategy.
• Experience working in Data Analytic related projects.
• Excellent analytical and problem-solving skills.
• Ability to apply logical and creative thinking to solve complex business problems.
• Ability to define the problems and frame answers in a logical and structured manner.
• Good project management, team leadership and sense of ownership.
• Good co-ordination skill with positive attitude and ability to work under pressure.
• Strong communications, customer relationship and negotiation skills.
• Good command of both written and spoken English.
• TECHNICAL SKILLS: Basic understanding of data ecosystem, Advanced skills in dashboard and BI tools.
• Conceptual knowledge of data and analytics, ETL, reporting tools, data governance, data warehousing, structured and unstructured data.

Experience:

3 years required

Skills:

Big Data, ETL, SQL, Python

Job type:

Full-time

• Develop and maintain robust data pipelines to ingest, process, and transform raw data into formats suitable for LLM training.
• Conduct meeting with users to understand the data requirements and perform database design based on data understanding and requirements with consideration for performance.
• Maintain data dictionary, relationship and its interpretation.
• Analyze problem and find resolution, as well as work closely with administrators to monitor performance and advise any necessary infrastructure changes.
• Work with business domain experts, data scientists and application developers to identify data that is relevant for analysis.
• Develop big data solutions for batch processing and near real-time streaming.
• Own end-to-end data ETL/ELT process framework from Data Source to Data warehouse.
• Select and integrate appropriate tools and frameworks required to provide requested capabilities.
• Design and develop BI solutions.
• Hands-on development mentality, with a willingness to troubleshoot and solve complex problems.
• Keep abreast of new developments in the big data ecosystem and learn new technologies.
• Ability to effectively work independently and handle multiple priorities.
• Bachelor degree or higher in Computer Science, Computer Engineering, Information Technology, Management Information System or an IT related field.
• 3+ year's experiences in Data Management or Data Engineer (Retail or E-Commerce business is preferrable).
• Expert experience in query language (SQL), Databrick SQL, PostgreSQL.
• Experience in Big Data Technologies like Hadoop, Apache Spark, Databrick.
• Experience in Python is a must.
• Experience in Generative AI is a must.
• Knowledge in machine/statistical learning, data mining is a plus.
• Strong analytical, problem solving, communication and interpersonal skills.
• Having good attitude toward team working and willing to work hard.
• 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. .

Skills:

Project Management, Compliance

Job type:

Full-time

• Team Leadership: Lead and mentor a multidisciplinary team covering Business Intelligence, Data Science, Data Engineering, Data Platform Engineering, and Data Governance.
• Strategic Planning: Develop and execute the section's strategic plan aligned with organizational digital goals.
• Project Management: Oversee project execution, ensuring timeliness and efficient resource allocation.
• Data Analytics and Insights: Drive data-driven decision-making through advanced analytics and effective communication of insights.
• Data Governance and Compliance: Establish and maintain data governance practices, ensuring quality and compliance.
• Data Infrastructure and Technology: Collaborate on data infrastructure and stay updated on technology trends.
• Budget Management: Manage section budget and expenditures.
• Stakeholder Engagement: Build strong relationships with internal stakeholders to align analytics efforts with business objectives.
• Performance Metrics and Reporting: Monitor KPIs and report on section accomplishments and plans.
• EDUCATION.
• Bachelor's degree in a relevant field (e.g., Computer Science, Data Science, Business Administration) is required; a Master's degree is a plus.
• EXPERIENCE.
• Proven experience (10+ years) in a managerial role, with a track record of successfully leading teams in data analytics and related fields.
• Strong understanding of data analytics, business intelligence, data governance, and data engineering concepts.
• Excellent communication and interpersonal skills to collaborate effectively with diverse stakeholders.
• Proficiency in relevant software tools and technologies commonly used in data analytics and management.
• Strategic thinking and the ability to align data analytics initiatives with the organization's goals.
• OTHER REQUIREMENTS.
• As a Section Head within the Digital Department, you will play a crucial role in leading and managing the Data Analytics Section. This dynamic and diverse team covers a broad range of functions critical to our organization's data-driven decision-making, including Business Intelligence, Data Science, Data Engineering, Data Platform Engineering, and Data Governance. Your primary responsibility will be to ensure that the Data Analytics Section operates efficiently, meets its objectives, and contributes significantly to the overall success of our digital initiatives.

Skills:

Research, Data Analysis, Problem Solving

Job type:

Full-time

• Enable omni-channel customer journey and experience design.
• Operating model based on analytics practices.
• Digital enablement and platform implementation.
• You will support Deloitte and client s business growth by:Identifying client s business requirements / overall strategy and vision, and any opportunities for efficiencies in existing process / service design.
• Undertaking extensive desktop and on-the-ground research on various aspects relevant to our current and potential clients viz. market sizing, competitive benchmarking across channels, products, customer experience, digital capabilities, customer servicing, etc.
• Developing draft pitch proposals including storyboarding, data analysis, opportunity sizing, proposed team composition, project costing and fee estimates.
• Using tech, human-centered design thinking and innovative approaches to solve business needs.
• Participating in team problem solving efforts and offer ideas to solve client issues.
• Facilitating client workshops to complete current state assessment and providing basis for future state design and rollout planning.
• Conducting relevant research, data analysis, and create reports.
• Maintaining responsibility for quality, completion, and accuracy of work products.
• Assessing restructuring operating models, organizational structures, and business processes to streamline core operations service delivery.
• Assisting in proposal development, as requested.
• Actively expanding consulting skills and professional development through training courses, mentoring, and daily interaction with Deloitte colleagues and clients.
• As a Manager you will:Focus on the delivery of client work and lead a cross-service line team for major deliverables and projects. Take charge of fulfilling the responsivities and deliverables planned for project working closely with the team and client to obtain sign-off and ensure client satisfaction as a result, build trusted relationships with the client.
• You will be continually encouraged to devise innovative solutions to help our clients maximise the value of their data assets by helping them transform data into insight. You will also assume real ownership of projects and key stakeholders at executive levels as you help them execute their strategy to build an efficient analytics organisation, processes and supporting technology.
• In addition, Managers should support practice development and business management activities to help grow the Analytics & Cognitive practice as well as aligning to an industry to exploit depth of knowledge and professional experience.
• Working as a key business partner to high profile clients, you'll have the chance to develop your expertise from strategy to execution, as well as in delivery and implementation. As a Manager in the FS Data and AI, you'll be able to put your own creative ideas into practice as you take ownership of deliverables and resources on transformation projects and hone your commercial skills.
• Design and develop tailor-made solutions, strengthen presence of AI&D Practice for in the SEA market, identify revenue-generating opportunities, and get involved in proposal writing, pitch presentations, etc.
• Your role as a leaderAt Deloitte, we believe in the importance of empowering our people to be leaders at all levels. We connect our purpose and shared values to identify issues as well as to make an impact that matters to our clients, people and the communities. Additionally, Managers across our Firm are expected to:Develop diverse, high-performing people and teams through new and meaningful development opportunities.
• Collaborate effectively to build productive relationships and networks.
• Understand and lead the execution of key objectives and priorities for internal as well as external stakeholders.
• Align your team to key objectives as well as set clear priorities and direction.
• Make informed decisions that positively impact the sustainable financial performance and enhance the quality of outcomes.
• Influence stakeholders, teams, and individuals positively - leading by example and providing equal opportunities for our people to grow, develop and succeed.
• Lead with integrity and make a strong positive impact by energising others, valuing individual differences, recognising contributions, and inspiring self-belief.
• Deliver superior value and high-quality results to stakeholders while driving high performance from people across Deloitte.
• Apply their understanding of disruptive trends and competitor activity to recommend changes, in line with leading practices.
• Requirements:Bachelor or Masters' Degree in any relevant discipline.
• Minimum 8-10 years of working experience in the Consulting Industry within Financial Services clientele.
• It would be great to haveBusiness problem solving in the banking or Insurance domain, using analytical tools i.e Machine Learning libraries, LLM (Large Language Model) such as Open AI, Anthrophyic, Google Bard.
• Hands-on Experience in finding Data Science solutions, developing AI Models using ML Workbench (i.e PIVOTAL Cloudera, Ms Azure, NVDIA Omniverse).
• Good foundation in Data Management, Data Governance (AI Model, ML Ops).
• Banking domain analytics within mass market;wealth or private banking sales & customer 360 analytics.
• fraud-compliance-risk analytics.
• operational productivity & capacity analytics.
• human resource analytics or various advanced analytical frameworks for SME / commercial banking.
• transaction banking, payments, etc..
• Insurance Domain within Bancassurance, Life, General Insurance domain such as agency sales & distribution, customer acquisition & servicing analytics, claims processing, fraud, etc.
• It would be nice should you haveGood foundation in programming language i.e (at least one) R, Python, Scala.
• Certification with relevant to Cloud / Machine Learning / Artificial Intelligence.
• Regional Financial Services Experience, across SEA.
• Strong client relationship skills, including an ability to independently engage with clients.
• An appreciation of the consulting lifestyle and ability to travel (both locally and abroad) is a pre-requisite to fit our short-term and long-term project assignments.
• Additionally:Lead or Manage:Opportunity Management - RFI / RFP Process, Solution Designing, Budgeting and Account Planning.
• Delivery Management - Project Management, Manage Project Team, Project P&L.
• Leadership - Mentor and coach team members, fostering their professional growth and development within the insurance consulting domain.
• Due to volume of applications, we regret that only shortlisted candidates will be notified.
• Please note that Deloitte will never reach out to you directly via messaging platforms to offer you employment opportunities or request for money or your personal information. Kindly apply for roles that you are interested in via this official Deloitte website.Requisition ID: 105649In Thailand, the services are provided by Deloitte Touche Tohmatsu Jaiyos Co., Ltd. and other related entities in Thailand ("Deloitte in Thailand"), which are affiliates of Deloitte Southeast Asia Ltd. Deloitte Southeast Asia Ltd is a member firm of Deloitte Touche Tohmatsu Limited. Deloitte in Thailand, which is within the Deloitte Network, is the entity that is providing this Website.

Experience:

No experience required

Skills:

Mechanical Drawing, Electrical Engineering, English

Job type:

Full-time

• 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.

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:

12 years required

Skills:

Research, Data Analysis, Problem Solving

Job type:

Full-time

• Enable omni-channel customer journey and experience design.
• Operating model based on analytics practices.
• Digital enablement and platform implementation.
• You will support Deloitte and client s business growth by:Identifying client s business requirements / overall strategy and vision, and any opportunities for efficiencies in existing process / service design.
• Undertaking extensive desktop and on-the-ground research on various aspects relevant to our current and potential clients viz. market sizing, competitive benchmarking across channels, products, customer experience, digital capabilities, customer servicing, etc.
• Developing draft pitch proposals including storyboarding, data analysis, opportunity sizing, proposed team composition, project costing and fee estimates.
• Using tech, human-centered design thinking and innovative approaches to solve business needs.
• Participating in team problem solving efforts and offer ideas to solve client issues.
• Facilitating client workshops to complete current state assessment and providing basis for future state design and rollout planning.
• Conducting relevant research, data analysis, and create reports.
• Maintaining responsibility for quality, completion, and accuracy of work products.
• Assessing restructuring operating models, organizational structures, and business processes to streamline core operations service delivery.
• Assisting in proposal development, as requested.
• Actively expanding consulting skills and professional development through training courses, mentoring, and daily interaction with Deloitte colleagues and clients.
• As a Senior Manager you will:Focus on the delivery of client work and lead a cross-service line team for major deliverables and projects. Take charge of fulfilling the responsivities and deliverables planned for project working closely with the team and client to obtain sign-off and ensure client satisfaction as a result, build trusted relationships with the client.
• You will be continually encouraged to devise innovative solutions to help our clients maximise the value of their data assets by helping them transform data into insight. You will also assume real ownership of projects and key stakeholders at executive levels as you help them execute their strategy to build an efficient analytics organisation, processes and supporting technology.
• In addition, Managers should support practice development and business management activities to help grow the Analytics & Cognitive practice as well as aligning to an industry to exploit depth of knowledge and professional experience.
• Working as a key business partner to high profile clients, you'll have the chance to develop your expertise from strategy to execution, as well as in delivery and implementation. As a Manager in the FS Data and AI, you'll be able to put your own creative ideas into practice as you take ownership of deliverables and resources on transformation projects and hone your commercial skills.
• Design and develop tailor-made solutions, strengthen presence of AI&D Practice for in the SEA market, identify revenue-generating opportunities, and get involved in proposal writing, pitch presentations, etc.
• Your role as a leaderAt Deloitte, we believe in the importance of empowering our people to be leaders at all levels. We expect our people to embrace and live our purpose and shared values, challenging themselves every day to identify issues that are most important to our clients, our people and the communities, and to make an impact that matters. In addition to living our purpose, Senior Managers across our Firm are expected to:Establish a strong leadership brand by inspiring others through passion, integrity, and appreciation.
• Create opportunities to drive impact by leveraging each person s strengths to build high performing teams.
• Apply deep knowledge of trends and activity to drive continuous improvement and build lasting relationships across a diverse network.
• Translate and communicate broader strategy into a convincing team vision and goals, in order to align the team and sets priorities to achieve objectives.
• Actively contribute to building the talent pipeline by championing a talent experience that attracts, develops and retains top talent and high performing teams.
• Enough about us, let's talk about youIf you are someone with:Bachelor or Masters' Degree in any relevant discipline.
• Minimum 12 years of working experience in the Consulting Industry within Financial Services clientele.
• It would be great to haveBusiness problem solving in the banking or Insurance domain, using analytical tools i.e Machine Learning libraries, LLM (Large Language Model) such as Open AI, Anthrophyic, Google Bard.
• Hands-on Experience in finding Data Science solutions, developing AI Models using ML Workbench (i.e PIVOTAL Cloudera, Ms Azure, NVDIA Omniverse).
• Good foundation in Data Management, Data Governance (AI Model, ML Ops).
• Banking domain analytics within mass market;wealth or private banking sales & customer 360 analytics.
• fraud-compliance-risk analytics.
• operational productivity & capacity analytics.
• human resource analytics or various advanced analytical frameworks for SME / commercial banking.
• transaction banking, payments, etc..
• Insurance Domain within Bancassurance, Life, General Insurance domain such as agency sales & distribution, customer acquisition & servicing analytics, claims processing, fraud, etc..
• It would be nice should you haveGood foundation in programming language i.e (at least one) R, Python, Scala.
• Certification with relevant to Cloud / Machine Learning / Artificial Intelligence.
• Regional Financial Services Experience, across SEA.
• Strong client relationship skills, including an ability to independently engage with clients.
• An appreciation of the consulting lifestyle and ability to travel (both locally and abroad) is a pre-requisite to fit our short-term and long-term project assignments.
• Additionally:Lead or Manage:Opportunity Management - RFI / RFP Process, Solution Designing, Budgeting and Account Planning.
• Delivery Management - Project Management, Manage Project Team, Project P&L.
• Leadership - Mentor and coach team members, fostering their professional growth and development within the insurance consulting domain.
• Next Steps So what are you waiting for? Join the winning team now.
• Due to volume of applications, we regret that only shortlisted candidates will be notified.
• Please note that Deloitte will never reach out to you directly via messaging platforms to offer you employment opportunities or request for money or your personal information. Kindly apply for roles that you are interested in via this official Deloitte website.
• LI-VK Requisition ID: 105124In Thailand, the services are provided by Deloitte Touche Tohmatsu Jaiyos Co., Ltd. and other related entities in Thailand ("Deloitte in Thailand"), which are affiliates of Deloitte Southeast Asia Ltd. Deloitte Southeast Asia Ltd is a member firm of Deloitte Touche Tohmatsu Limited. Deloitte in Thailand, which is within the Deloitte Network, is the entity that is providing this Website.

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.