เงื่อนไขการค้นหา

ประสบการณ์:

1 ปีขึ้นไป

ทักษะ:

Project Management, English

ประเภทงาน:

งานประจำ

• Secure Power s solution business growth, profitability, Data Centre segment activities and overall project portfolio.
• Taking leadership role for presales and post sales activities in Large Data Center projects for architecture design, engineering, deployment and operation of M&E system, including the whole life cycle design, build and operation phases.
• Strong people leadership qualities in managing large team >20 staff include team leaders across different function Tendering, Solution Engineering, Project Management a ...
• Building an effective organization and developing a roadmap to ensure the right competence level at all stages of the Data Centre lifecycle that is in line with the Secure Power Business.
• Being a recognized industry expert in the Data Centre industry, and with a strong understanding of the dynamics of how the Data Centre evolution, with a strong appreciation of Data Centre design and concepts for the infrastructure layer of the Data Centre.
• Ensuring the proper running, governance and deployment of Schneider Electric GCP Customer Project Process (CPP), Safety procedure and Solution Business Risk Policy at all times.
• Responsabilities.
• Ensure strong collaboration between Cluster Application Centre teams and key stakeholders from Countries, Zones, Regions, Segments, Businesses, Global Solution, Global Strategic and Targeted Customers teams.
• Manage Tender, Engineering, Project Management team and activities to address the business and meet Key performance objectives.
• Monitor, control, drive and report the performance of Customer project business within defined geographical perimeter and technology.
• Lead the Data Centre Projects country cadence calls to define action plan to win projects according to key opportunities identified by the sales team and follow-up of the action plan.
• Leverage the GCP regional competencies and local application Centre services capability. Understand the Zone/Country set up, on the ground capability, identify potential gaps and recovery actions.
• Qualify and Prioritize Opportunity to Facilitate Resource Planning. Assess the project timeline in view of resources planning.
• Engage with large customers using solution and consultative selling method to support the Sales team during presales phase in fostering customer relationship intimacy.
• Based on deep market understanding and technology trends, anticipate business changes and their impacts on SPAC organization. Based on BUs, Segment and FOs business strategy, adapt the technical offers with possible innovation.
• Master solution business risks and opportunities in order to identify risk, coverage and mitigation plan during both tendering and project execution.
• Lead and support implementation GCP Customer Project Process changes. Ensuring ongoing proper running and governance of CPP within the cluster perimeter.
• Taking part of regional opportunity and project review.
• Structure, build, develop, train and motivate team members, optimizing resources to drive performance management.
• QualificationsBachelor s Degree in Engineering (Mechanical or Electrical),.
• Masters in Business Administration will be bonus.
• Relevant Professional qualifications (i.e. in the fields of Data Centre, Mechanical & Electrical design, Project Management etc ).
• Uptime or similar industry certification in Data Centre Application.
• 12+ years in Data Centre Segment or critical related Industry of which at least 6+ years in people management role.
• Fluent in English.
• Occasional travel within a year.
• Primary Location: TH-Bangkok.
• Schedule: Full-time Unposting Date: Ongoing

ประเภทงาน:

งานประจำ

• About TikTokTikTok is the leading destination for short-form mobile video. At TikTok, our mission is to inspire creativity and bring joy. TikTok's global headquarters are in Los Angeles and Singapore, and its offices include New York, London, Dublin, Paris, Berlin, Dubai, Jakarta, Seoul, and Tokyo. Why Join UsCreation is the core of TikTok's purpose. Our products are built to help imaginations thrive. This is doubly true of the teams that make our innovations possible. Together, we inspire creativity and enrich life - a mission we aim towards achieving every day. To us, every chall ...
• Minimum Qualifications-Bachelor degree or above, graduate degree is preferred, math, statistics, computer-related majors are preferred, strong capability of data analytics is required;-experience in research and analysis positions in consulting, e-commerce/ads is preferred. Preferred Qualifications-Outstanding reasoning capability and logic, with good problem solving methodologies, being able to independently output quality strategic solutions, strong learning and adaptive ability, strategic framework thinking, sensitivity and insight into the business;-Have some strategic thinking capacity, able to quickly understand the business and discover the connection between business and data performance;-Proficiency in SQL for data analysis, understanding of common statistical and analytical methods, and skills in BI visualization tools such as Tableau/Power BI is a plus;-Fast learner, passionate about participating in business, and able to adapt to high intensity and fast growth work environment.TikTok is committed to creating an inclusive space where employees are valued for their skills, experiences, and unique perspectives. Our platform connects people from across the globe and so does our workplace. At TikTok, our mission is to inspire creativity and bring joy. To achieve that goal, we are committed to celebrating our diverse voices and to creating an environment that reflects the many communities we reach. We are passionate about this and hope you are too.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 [email protected].

ทักษะ:

Data Analysis, Big Data, SQL, English

ประเภทงาน:

งานประจำ

• Analyze Internal Data such as Traffic, Car Parking, Wi-Fi, Customer (Local & Global Citizen), Promotion, Loyalty Program Proposition, Member data and tenants including the new business data sets in the future to understand the customer insight in depth.
• Bring insights from Data Scientist to analyze to find the business opportunities, process improvement and find new initiate new business ideas for sales and revenue increase including enhancing Customer Engagement.
• Analyze to find the customer need and insights from consolidating existing data. This is to keep tracking on the consumer behavior and consumer preference so that the company can present the proper products, services and marketing communications according to each customer target group.
• Analyze the business data in depth for marketing campaigns by both Offline and Online channels to accomplish the expected objectives.
• Analyze the data on return of investment from marketing activities and Loyalty Programs, this would enhance learning curve on investment for Marketing and extend the business ideas for all related stakeholders to work effectively.
• Support internal parties in terms of providing data analysis from Analytics products of all properties, ONESIAM Super App to drive the data-led organization.
• Verify and ensure the quality of the data before distributing to internal parties to be accurate, updated and effective enough preparing for data analysis.
• Manage a small group member on data analyst.
• Perform other tasks as assigned.
• Graduated from Bachelor or Master Degree in Business, Computer Science, Engineering or other related fields.
• At least 10 years of strong experience in Data Analysis for big data.
• Able to use analytic tools such as SQL, Python, PySpark, etc.
• Good at storytelling for the data analysis.
• Good command in English.
• Experience in manage a small of members before.
• Possess detail-oriented, communication, analytical, strategic thinking skills.

ประสบการณ์:

3 ปีขึ้นไป

ทักษะ:

SQL, Python, English

ประเภทงาน:

งานประจำ

• Research on AI/ML, MarTech and AdTech to explore new tools and techniques.
• Prototype and test hyper-personalization engine using these innovations to ensure benefits and efficiency before full-scale deployment.
• Design, implement and automate personalization engine and recommendation system to enhance customer experiences and boost sales and marketing.
• Leverage Advanced analytics, AI/ML, and data mining techniques across various use cases to address business challenges.
• Design and conduct experiments, evaluate and maintain model to improve performance.
• Engage with key stakeholders, including IT, business, campaign and data teams to align on business requirements and integrate data solutions into our platforms.
• Participate in the vendor selection processes to identify and ensure the best external partners for data science and AI/ML projects.
• Bachelor s Degree or higher in Computer Science, Data Science, Engineering, Statistics, or any related field.
• Minimum of 3-5 years experience in data field and at least 2 years in data science, AI/ML engineer or a related field.
• Proficiency in some of the following: Recommendation engine, Reinforcement Learning, Python, PySpark and SQL and etc.
• Experience in building tools / models to support retention, up-cross selling, optimization, mobile app data and digital marketing is a plus.
• Ability to communicate and collaborate with cross-functional teams.
• Growth mindset and openness to continuously learning and facing new projects and new technologies.
• ท่านสามารถอ่านและศึกษานโยบายความเป็นส่วนตัวของธนาคารกรุงไทย จำกัด (มหาชน) ที่ https://krungthai.com/th/content/privacy-policy ทั้งนี้ ธนาคารไม่มีเจตนาหรือความจำเป็นใดๆ ที่จะประมวลผลข้อมูลส่วนบุคคลที่มีความอ่อนไหว รวมถึงข้อมูลที่เกี่ยวข้องศาสนาและ/หรือหมู่โลหิต ซึ่งอาจปรากฏอยู่ในสำเนาบัตรประจำตัวประชาชนของท่านแต่อย่างใด ดังนั้น กรุณาอย่าอัปโหลดเอกสารใดๆ รวมถึงสำเนาบัตรประจำตัวประชาชน หรือกรอกข้อมูลส่วนบุคคลที่มีความอ่อนไหวหรือข้อมูลอื่นใด ซึ่งไม่เกี่ยวข้องหรือไม่จำเป็นสำหรับวัตถุประสงค์ในการสมัครงานไว้บนเว็บไซต์ นอกจากนี้ กรุณาดำเนินการให้แน่ใจว่าได้ดำเนินการลบข้อมูลส่วนบุคคลที่มีความอ่อนไหว (ถ้ามี) ออกจากเรซูเม่และเอกสารอื่นใดก่อนที่จะอัปโหลดเอกสารดังกล่าวไว้บนเว็บไซต์แล้วด้วย ทั้งนี้ ธนาคารมีความจำเป็นต้องเก็บรวบรวมข้อมูลส่วนบุคคลเกี่ยวกับประวัติอาชญากรรมของท่านเพื่อบรรลุวัตถุประสงค์ในการพิจารณารับบุคคลเข้าทำงาน หรือการตรวจสอบคุณสมบัติ ลักษณะต้องห้าม หรือพิจารณาความเหมาะสมของบุคคลที่จะให้ดำรงตำแหน่ง ซึ่งการให้ความยินยอมเพื่อเก็บรวบรวม ใช้ หรือเปิดเผยข้อมูลส่วนบุคคลเกี่ยวกับประวัติอาชญากรรมของท่านมีความจำเป็นสำหรับการเข้าทำสัญญาและการได้รับการพิจารณาตามวัตถุประสงค์ดังกล่าวข้างต้น ในกรณีที่ท่านไม่ให้ความยินยอมในการเก็บรวบรวม ใช้ หรือเปิดเผยข้อมูลส่วนบุคคลเกี่ยวกับประวัติอาชญากรรม หรือมีการถอนความยินยอมในภายหลัง ธนาคารอาจไม่สามารถดำเนินการเพื่อบรรลุวัตถุประสงค์ดังกล่าวข้างต้นได้ และอาจ ทำให้ท่านสูญเสียโอกาสในการได้รับการพิจารณารับเข้าทำงานกับธนาคาร .

ทักษะ:

Data Analysis, Finance, SQL, English

ประเภทงาน:

งานประจำ

• 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 creation: Create data analytic model including both deterministic and machine learning model.
• AI vendors coordination: 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 and 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.
• Master's degree in Finance, Business, Engineering, or a related field.
• Strong business acumen, with a deep understanding of retail and wholesale business.
• 3+ 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 Visualisation (Tableau, PowerBI) is a plus.
• Excellent communication skills with the ability to convey complex findings to non-technical stakeholders.
• Fluent in Thai and English.
• Having a good attitude toward teamwork 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. .

ทักษะ:

Quantitative Analysis, Business Development, Procurement, English

ประเภทงาน:

งานประจำ

• Explore and conduct qualitative and quantitative analysis using appropriate tools and insights to support strategic decision making, Distribution transformation plans, and new projects or new business development.
• Visualized data insights and communicate the key findings to relevant stakeholders across functions and organizations on both conversationally and formal presentation.
• Initiate and propose distribution development and transformation projects to maximize end-to-end benefits and support business growth direction.
• Work collaboratively within Group and potential partners to identify synergy opportunities, analyst, and execute as planned.
• Prepare feasibility study and develop Business Case as a standard tool to sign off and get approval for all projects.
• Review warehouse capacity & capability, layout, equipment and end-to-end process to support item re-alignment or any change in Distribution network and closely monitor if all activities conducted as planned.
• Maintain and build dashboards using visualization tools to monitor operational performance and support resource planning.
• Work as a project manager to lead plans and support the implementation of transformation projects in order to achieve business benefits and complete required tasks as planned.
• Find countermeasures or workaround solutions for any issue blocking progress of projects.
• Deliver targeted results through cost saving, income generating, efficiency improvement and maximized asset utilization.
• Engage various cross-functional teams such as Warehouse Operations, Transport Operations, Supply Chain, Commercial, Procurement, Store Operations, IT, Property, Legal and other external parties to deliver project objectives.
• Perform other related duties as required or requested.
• Bachelor s degree or higher degree in Supply Chain/Logistics, Engineering, Business Administration or related fields.
• More than 5 years of experience in project management and quantitative analysis is preferred.
• Strong analytical, data mining, problem solving, and logical thinking skills.
• Excellent communication, planning, and presentation skills.
• Good negotiation, influencing and interpersonal skills.
• Good command of both written and spoken English.
• Being able to work independently and under pressure.
• Motivation to act and go the extra-mile.
• 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:

ETL, Compliance, SQL

ประเภทงาน:

งานประจำ

• Design, develop, and maintain data pipelines to extract, transform, and load (ETL) data from various sources into a centralized data warehouse or data lake.
• Integrate data from different sources, such as databases, APIs, and third-party applications, ensuring data consistency and accuracy.
• Create and maintain data models and schemas to facilitate data storage and retrieval, following best practices for data warehousing and database management.
• Implement data quality checks and validation processes to ensure data accuracy, completeness, and consistency.
• Optimize data pipelines and systems for performance, scalability, and efficiency, making sure data processing meets business requirements.
• Implement data security measures to protect sensitive information and ensure compliance with data privacy regulations (e.g., GDPR, HIPAA).
• Document data engineering processes, data lineage, and system architecture to facilitate knowledge sharing and future maintenance.
• Set up monitoring and alerting systems to detect and address issues with data pipelines and systems proactively.
• Collaborate with cross-functional teams, including data scientists, analysts, and software engineers, to understand their data needs and provide the necessary infrastructure and support.
• Stay up-to-date with the latest data engineering technologies and tools, and evaluate their applicability to the organization's data stack.
• Bachelor's degree in computer science, information technology, or a related field. A master's degree is a plus.
• Strong proficiency in data engineering tools and technologies, such as SQL, ETL frameworks (e.g., Apache Spark, Apache Airflow, Apache Beam).
• Experience with Google BigQuery for data warehousing.
• Experience with Google Cloud Dataflow or Dataproc.
• Experience with programming languages like Python, Java, or Scala.
• Experience with building streaming data pipelines on Google Cloud.
• Knowledge of database design, data modeling, and data integration techniques.
• Familiarity with data governance, data security, and compliance standards.
• Problem-solving skills and attention to detail.
• Strong communication and collaboration skills.

ประสบการณ์:

2 ปีขึ้นไป

ทักษะ:

Market Planning, SAP, English

ประเภทงาน:

งานประจำ

• Be responsible for design, implement and deliver the functional and technical components of the planning, budgeting and forecasting solutions.
• Able to interact with clients to understand the business requirements to conclude blueprint, configuration, testing, migration, support, and continuous enhancements.
• Responsibilities include, using knowledge of accounting functions on General Ledger, Asset Accounting, Controlling and Profitability process areas.
• Focusing on SAP SAC and SAP Datasphere on development and deployment of business Intelligence Solutions to support business requirements using SAC Planning.
• SAP Business Planning and Consolidations BPC, BusinessObjects Business Intelligence BO BI and Data Warehouse BW skills will be an advantage.
• Bachelor s degree in IT or equivalent work experience.
• Minimum 2 years of experience in managing SAP Analytical and/or Reporting work streams for large or complex systems for various industry sectorsExperience on SAC BPC as a planning tool,.
• Designing implementing data models and data conversionDemonstrates thought proven abilities and technical experience with SAP.
• Analytics technologies S 4HANA Embedded Analytics, BW 4HANA, SAP Fiori, Google Azure AWS Cloud technologies and BI visualization tools.
• Good Understanding of SAP data structures, End to End dataflow, SAC predictive capabilities, augmented analytics, planning, budgeting, forecasting, etc.
• Ability to be flexible and work analytically in a problem solving environment.
• Ability to travel to client sites local or overseas.
• Excellent leadership, communication written and oral and interpersonal skills.

ทักษะ:

Big Data, ETL, SQL

ประเภทงาน:

งานประจำ

• 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. .

ประสบการณ์:

4 ปีขึ้นไป

ทักษะ:

Finance, Accounting, Business Development

ประเภทงาน:

งานประจำ

• Act as internal consultant to support strategy development and lead execution of key strategic projects.
• Take ownership of new partnership development, identify, develop and execute plan to align with company strategy.
• Work with head of department to plan and allocate partnership budget across channels.
• Develops and maintains productive working relationships with team members.
• Tracking business performance and create monthly summary report.
• Bachelor s degree in finance, Accounting, Business, IT, Engineer or any related field.
• At least 4 years experience in Business development, Strategic Planning, Financial Planning or related field.
• Experience in consultancy companies Big4 is a plus.
• Customer orientation, self-driven, strong negotiation skills and excellent interpersonal.
• Creative problem solver.
• High proficiency with Microsoft Excel, PowerPoint, understanding of financial.
• report is a plus.
• Location: True Digital Park, Punnawithi.

ประสบการณ์:

3 ปีขึ้นไป

ทักษะ:

Business Development, Data Analysis

ประเภทงาน:

งานประจำ

• Design, develop, and maintain data performance dashboards to track key metrics and KPIs for Digital Juristic & Retail Payment functions.
• Ensure dashboards are user-friendly and provide actionable insights for stakeholders.
• 2) Data Analysis and Reporting: Conduct in-depth data analysis to identify trends, patterns, and opportunities for business improvement.
• Prepare and present detailed reports and visualizations to senior management and other key stakeholders.
• 3) Portfolio Management: Oversee the management of data-related projects, ensuring they are completed on time and within budget.
• Collaborate with cross-functional teams to align data strategies with business objectives.
• 4) Project Management: Lead and manage projects related to data analytics and performance improvement.
• Develop project plans, timelines, and budgets, and ensure successful project delivery.
• 5) Stakeholder Communication: Communicate findings, projections, and recommendations to key stakeholders.
• Maintain effective communication with internal and external parties to ensure alignment and collaboration.
• Qualification Education: Bachelor s degree in data science, Business Analytics, Computer Science, or a related field. A Master's degree is a plus.
• Experience: Minimum of 3-5 years of experience in data analytics, business intelligence, or a related field.
• Proven experience in developing and managing data performance dashboards.
• Experience in portfolio management and project management.
• 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.

ประสบการณ์:

5 ปีขึ้นไป

ทักษะ:

Project Management, Finance, Microsoft Office, English

ประเภทงาน:

งานประจำ

• Create and update the Network Resilience and Network Master Plan taking into account data from internal and external sources to deliver business aspiration.
• Be a focal point of Multi Year plan process and NW TnR process, and integrating this work to overall Mobility team.
• Be a focal point for future specific network strategy review or new strategy development for network and Mobility planning.
• Own, develop and be focal point of Post-Investment Review on Mobility Network investment. Own overall program and ensure specific project owners complete the PIRs as per the guideline requirement.
• Own the economic assumption in Downstream Valuation Model which need to review yearly.
• Provide a regular update on Network performance and overall T&R delivery.
• Assure data transparency for reporting in ClearTrack (project management tool) to enable global visibility.
• Own & accountable for the data accuracy and the tools. This might work and deliver via other teams - S&Op, Marketing, Real Estate and Planner.
• Interface with:The role will work integratively with Planners, Finance, Engineering, Real Estate, S&OP, MKT, Comm Fleet, Trade & Supply and Global CoE.
• Special Challenges & Learning Opportunities The position requires a wide working interface with various functions within Mobility, outside Mobility esp. Trade &Supply, Global COE & TH IPU team.
• The position required a quick learner with high analytical skill and can work with various information and stakeholders within and outside Mobility and with global team, and can translate the analysis to strategy development.
• This position will provide a very in depth learning of Mobility business and strategy development. Highly expose to various and senior stakeholders.
• The position will provide the opportunity to learn/ skill in developing business strategy in the future.
• Education background of Master s degree in Business Administration / Engineering as minimum.
• More than 5 years of relevant work experience.
• Have experience in Commercial background is a plus.
• Basic knowledge in Finance.
• Strong analytical skill, structured-approach and strategic-thinking will ensure the success of the candidate in this role.
• Sharp analytical skill; Excellent in Microsoft Office tools (Other analytical tools i.e. Phyton is a plus).
• Technology driven.
• Very good in presentation skill.
• Fluent in English Communication skills including writing, speaking, and reading.

ทักษะ:

Salesforce, Automation, Negotiation

ประเภทงาน:

งานประจำ

• Employ your wealth of sales knowledge, with new technologies, and AI modeling to identify and position Agentforce opportunities with potential customers.
• Collaborate and work closely Salesforce Sales team to find opportunities to drive Agentforce growth at current and new customers.
• Use your extensive knowledge of Salesforce particularly Agentforce to articulate to our customers how the Salesforce Product stack can deliver tailored solutions to transform their customer engagement while fitting within their existing architecture.
• Conduct comprehensive technical discovery to analyze sophisticated business problems and demonstrate how Agentforce s capabilities can deliver impact at scale.
• Source and qualify Agentforce opportunities that fit our ideal customer profile.
• Demonstrate your adeptness at leading comprehensive discovery conversations, unearthing prospective customers critical business needs and resolving if and how Agentforce can be a solution.
• Conduct in-depth discovery sessions to assess client s sophisticated business needs, demonstrating what Agentforce delivers as a detailed and scalable solution.
• Craft and present compelling Points of View (POVs) that underscore the tangible value of Agentforce across both technical and business partners.
• Collaborate across cross-functional teams to show up as One Salesforce and ensure a seamless client experience throughout the entire sales process.
• Highlight how our solutions align seamlessly with clients' long-term strategic objectives.
• Apply your outstanding ability to combine deep discovery with your own point of view to present compelling Agentforce use cases that resonate with buyers.
• Experience in enterprise and commercial B2B sales within the context of highly technical sales.
• Deep understanding of AI and machine learning concepts, understanding of the agent platform, how to configure and set up agents, hook them into existing flows, automation, API connection, etc.
• Experience with AI-driven customer engagement solutions and the Salesforce platform (i.e. Sales, Services, Marketing, Data Cloud).
• Sophisticated intuition for business and able to conduct technical in-depth discovery mapping aligning clients needs to Salesforce's platform and Agentforce capabilities.
• Strong technical selling skills including the ability to explain AI models ad solutions to non-technical clients and how AI capabilities and solutions can translate to business outcomes.
• A proven track record of consistently surpassing sales targets within a technical sales environment, underscoring your proficiency in intricate sales processes.
• Outstanding communication and negotiation skills honed through your experience.
• A Bachelor's degree or equivalent experience with extensive background in technology sales.
• Salesforce platform (Sales, Service, Marketing Clouds), technical sales, negotiation techniques, Cloud Data Warehouse technologies, Cloud infrastructure, Predictive and prescriptive modeling techniques, Business Intelligence (Tableau). Salesforce Data Cloud.
• This role requires an outstanding blend of technical depth, sales competence, and can articulate complex AI-driven solutions to a mix of customers.
• Results motivated: you show your ability to exceed sales goals.
• Business-focused outlook: Skillfully translates technical solutions into palpable business value.
• A talent for relationship-building: Establishes enduring client connections, rooted in your extensive sales expertise.
• A curiosity about problem-solving: Devises innovative solutions to address sophisticated client challenges, using your extensive technology sales experience.
• Technical Skills: Ability to understand sophisticated technical solutions and clearly articulate business value to businesses and technical partners.
• Creativity. Agile, roll-up-your-sleeves demeanor. Progress over perfection.
• LI-Y.
• Accommodations.
• If you require assistance due to a disability applying for open positions please submit a request via this Accommodations Request Form.
• Posting Statement.
• At Salesforce we believe that the business of business is to improve the state of our world. Each of us has a responsibility to drive Equality in our communities and workplaces. We are committed to creating a workforce that reflects society through inclusive programs and initiatives such as equal pay, employee resource groups, inclusive benefits, and more. Learn more about Equality at www.equality.com and explore our company benefits at www.salesforcebenefits.com.
• Salesforce is an Equal Employment Opportunity and Affirmative Action Employer. Qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender perception or identity, national origin, age, marital status, protected veteran status, or disability status. Salesforce does not accept unsolicited headhunter and agency resumes. Salesforce will not pay any third-party agency or company that does not have a signed agreement with Salesforce. .
• Salesforce welcomes all.

ทักษะ:

ETL, Big Data, SQL

ประเภทงาน:

งานประจำ

• Design and develop ETL solutions using data integration tools for interfacing between source application and the Enterprise Data Warehouse.
• Experience with Big Data or data warehouse.
• Analyze & translate functional specifications & change requests into technical specifications.
• Experience in SQL programming in one of these RDBMSs such as Oracle.
• Develops ETL technical specifications, designs, develops, tests, implements, and supports optimal data solutions.
• Develops Documents ETL data mappings, data dictionaries, processes, programs and solutions as per established standards for data governance.
• Design and create codes for all related data extraction, transformation and loading (ETL) into database under responsibilities.
• Creates, executes, and documents unit test plans for ETL and data integration processes and programs.
• Perform problem assessment, resolution and documentation in existing ETL packages, mapping and workflows in production.
• Performance tuning of the ETL process and SQL queries and recommend and implement ETL and query tuning techniques.
• Qualifications Bachelor s degree in Information Technology, Computer Science, Computer Engineering, or a related field.
• Experience with CI/CD tools (e.g., Jenkins, GitLab CI/CD) and automation frameworks.
• Proficiency in cloud platforms such as AWS, Azure, and associated services.
• Knowledge of IAC tools like Terraform or Azure ARM.
• Familiarity with monitoring and logging tools like Prometheus, Grafana, ELK stack, APM, etc.
• Good understanding of IT Operations.
• Strong problem-solving skills and the ability to troubleshoot complex issues.
• Excellent communication and teamwork skills to collaborate effectively across various teams.
• 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.

ประสบการณ์:

3 ปีขึ้นไป

ทักษะ:

Data Analysis, Accounting, Risk Management, English

ประเภทงาน:

งานประจำ

• Ability to provide advisory services to clients in the areas of system implementation and data analysis and data governance.
• Ability to identify deficiencies in the client's current systems and processes.
• Ability to provide practical recommendations to close the gaps.
• Ability to apply knowledge and build trust to client based on business senses and information technology.
• Your role as a leader:At 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, Consultant, Senior Consultant, Assistant Manager across our Firm are expected to:Actively seek out developmental opportunities for growth, act as strong brand ambassadors for the firm as well as share their knowledge and experience with others.
• Respect the needs of their colleagues and build up cooperative relationships.
• Understand the goals of our internal and external stakeholder to set personal priorities as well as align their teams work to achieve the objectives.
• Constantly challenge themselves, collaborate with others to deliver on tasks and take accountability for the results.
• Build productive relationships and communicate effectively in order to positively influence teams and other stakeholders.
• Offer insights based on a solid understanding of what makes Deloitte successful.
• Project integrity and confidence while motivating others through team collaboration as well as recognising individual strengths, differences, and contributions.
• Understand disruptive trends and promote potential opportunities for improvement.
• RequirementsGraduated in Master s degree or Bachelor degree in Accounting, IT, management information system or accounting information system.
• 3- 6 years of experience in Risk Management/ Internal Control/ Audit in financial services/banking business environment either as part of a financial services institution, in an advisory or business consulting capacity to similar organizations or in the regulation of such institutions.
• Business advisory who has IT experiences or technical knowledge in Relational Database, Data Warehouse System and Information Systems are highly desirable.
• Excellent oral/written communication (both English & Thai).
• Strong project management skills.
• Strong communication and presentation skills.
• Ability to work independently and within a diverse team setting.
• o Certified Internal Auditor (CIA)
• o Certified Information Systems Auditor (CISA)
• o Financial Risk Manager (FRM) Level II
• o Certified Public Accountant (CPA)
• o The Chartered Financial Analyst (CFA) Level II
• 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: 104573In 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.

ประสบการณ์:

5 ปีขึ้นไป

ทักษะ:

SAP, Compliance

ประเภทงาน:

งานประจำ

• Bachelor's degree in Business, Logistics, Operations, Engineering, a related field, or equivalent practical experience.
• 5 years of experience managing warehousing and supply chain operations.
• Preferred qualifications:Master's degree.
• 5 years of experience in managing vendor and outsourced providers.
• 5 years of experience in supply chain/logistics.
• Experience with SAP.
• Excellent program management and communication skills.
• A problem isn't truly solved until it's solved for all. That's why Googlers build products that help create opportunities for everyone, whether down the street or across the globe. As a Program Manager at Google, you'll lead complex, multi-disciplinary projects from start to finish working with stakeholders to plan requirements, manage project schedules, identify risks, and communicate clearly with cross-functional partners across the company. Your projects will often span offices, time zones, and hemispheres. It's your job to coordinate the players and keep them up to date on progress and deadlines.Our goal is to build a Google that looks like the world around us and we want Googlers to stay and grow when they join us. As part of our efforts to build a Google for everyone, we build diversity, equity, and inclusion into our work and we aim to cultivate a sense of belonging throughout the company.
• In this role, you'll lead complex, multi-disciplinary projects, plan requirements with internal customers, and guide projects through the entire project lifecycle. This includes managing project schedules, identifying challenges, and clearly communicating goals to project stakeholders. You will also manage and motivate a team of outsourced service partners to develop and manage daily operations performance at our warehouse and data centers.
• 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.
• ResponsibilitiesAssist in managing Third-Party Logistics (3PL) warehouse locations, monitor metrics for KPI and vendor scorecards for our data center logistics support.
• Support data gathering and analysis on regional logistical performance, facilitate alignment with internal/external stakeholders on business operation processes.
• Convey global forecast on deployment and decommissioning for local sites and provide guidance on case-by-case execution changes. Provide first level system guidance (SAP and in-house tools), work with software teams occasionally to define regional requirements for tooling that supports overall logistics goals.
• Partner with transport, compliance, and other cross-functional teams to identify opportunities to reduce delivery cycle times for logistics activities and contribute to logistics strategy to support data center expansion.
• Support and implement on any project or program related plans to improve on processes, operations, material flows or cost initiatives within the logistics operations.
• 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.

ประสบการณ์:

2 ปีขึ้นไป

ทักษะ:

Data Entry

ประเภทงาน:

งานประจำ

• Works in support of logistics processes such as materials replenishment/ kitting, warehouse shipping/receiving and/or distribution.
• Provides analytical and administrative support to logistics department.
• Prepares and analyzes department performance measurements.
• Creates department reports and communicates to other departments/ functions.
• Develops and assists in implementing corrective action plans.
• Develops training systems and documentation for new employees.
• Performs administrative tasks in support of department activities.
• Recommends process improvements, assists with implementation, documentation and communicates to other function areas.
• Gets involved in resolving parts and process issues.
• Works on special projects as assigned.
• Conducts order book management including new order analysis and entry, open orders, and behind schedule order process.
• Oversees return materials management to ensure fast turnaround, customer satisfaction, and minimal financial impact.
• Ensures products shipped are timely and match customer order.
• Conducts analysis of best practices and shares among business units and customers.
• Knowledge/Skills/Competencies.
• Good understanding of manufacturing, warehouse and distribution processes.
• Knowledge of personal computers and ability to learn and use applications specific to this area.
• Basic understanding of internal and external customer requirements.
• Ability to identify and resolve complex process/system problems using financial, analytical and statistical models.
• Ability to handle multiple tasks while maintaining attention to detail and accuracy and working under tight time deadlines.
• Ability to evaluate, prioritize, and problem solve tasks which are limited in complexity to ensure their timely and accurate completion.
• Ability to communicate effectively, both verbally and in writing, with a wide variety of internal and external customers.
• Physical Demands.
• Duties of this position are performed in a normal office environment.
• Duties may require extended periods of sitting and sustained visual concentration on a computer monitor or on numbers and other detailed data.
• Repetitive manual movements (e.g., data entry, using a computer mouse, using a calculator, etc.) are frequently required.
• Typical Experience.
• Zero to two years of relevant experience.
• Typical Education.
• Bachelor's degree in related field, or consideration of an equivalent combination of education and experience.
• Educational requirements may vary by geography.
• Notes.
• This job description is not intended to be an exhaustive list of all duties and responsibilities of the position. Employees are held accountable for all duties of the job. Job duties and the % of time identified for any function are subject to change at any time.
• Celestica is an equal opportunity employer. All qualified applicants will receive consideration for employment and will not be discriminated against on any protected status (including race, religion, national origin, gender, sexual orientation, age, marital status, veteran or disability status or other characteristics protected by law).
• At Celestica we are committed to fostering an inclusive, accessible environment, where all employees and customers feel valued, respected and supported. Special arrangements can be made for candidates who need it throughout the hiring process. Please indicate your needs and we will work with you to meet them.
• Celestica (NYSE, TSX: CLS) enables the world s best brands. Through our recognized customer-centric approach, we partner with leading companies in Aerospace and Defense, Communications, Enterprise, HealthTech, Industrial, Capital Equipment and Energy to deliver solutions for their most complex challenges. As a leader in design, manufacturing, hardware platform and supply chain solutions, Celestica brings global expertise and insight at every stage of product development - from drawing board to full-scale production and after-market services for products from advanced medical devices, to highly engineered aviation systems, to next-generation hardware platform solutions for the Cloud. Headquartered in Toronto, with talented teams spanning 40+ locations in 13 countries across the Americas, Europe and Asia, we imagine, develop and deliver a better future with our customers.
• Celestica would like to thank all applicants, however, only qualified applicants will be contacted.
• Celestica does not accept unsolicited resumes from recruitment agencies or fee based recruitment services.

ประสบการณ์:

6 ปีขึ้นไป

ทักษะ:

Big Data, Good Communication Skills, Scala

ประเภทงาน:

งานประจำ

• Collate technical and functional requirements through workshops with senior stakeholders in risk, actuarial, pricing and product teams.
• Translate business requirements to technical solutions leveraging strong business acumen.
• Analyse current business practice, processes, and procedures as well as identifying future business opportunities for leveraging Data & Analytics solutions on various platforms.
• Develop solution proposals that provide details of project scope, approach, deliverables and project timeline.
• Provide architectural expertise to sales, project and other analytics teams.
• Identify risks, assumptions, and develop pricing estimates for the Data & Analytics solutions.
• Provide solution oversight to delivery architects and teams.
• Skills and attributes for success.
• 6-8 years of experience in Big Data, data warehouse, data analytics projects, and/or any Information Management related projects.
• Prior experience building large scale enterprise data architectures using commercial and/or open source Data Analytics technologies.
• Ability to estimate complexity, effort and cost.
• Ability to produce client ready solution architecture, business understandable presentations and good communication skills to lead and run workshops.
• Strong knowledge of data manipulation languages such as Spark, Scala, Impala, Hive SQL, Apache Nifi and Kafka necessary to build and maintain complex queries, streaming and real-time data pipelines.
• Data modelling and architecting skills including strong foundation in data warehousing concepts, data normalisation, and dimensional data modelling such as OLAP, or data vault.
• Good fundamentals around security integration including Kerberos authentication, SAML and data security and privacy such as data masking and tokenisation techniques.
• Good knowledge in DevOps engineering using Continuous Integration/ Delivery tools.
• An in depth understanding of Cloud solutions (AWS, Azure and/or GCP) and experienced in integrating into traditional hosting/delivery models.
• Ideally, you ll also have.
• Experience in engaging with both technical and non-technical stakeholders.
• Strong consulting experience and background, including engaging directly with clients.
• Demonstrable Cloud experience with Azure, AWS or GCP.
• Configuration and management of databases.
• Experience with big data tools such as Hadoop, Spark, Kafka.
• Experience with AWS and MS cloud services.
• Python, SQL, Java, C++, Scala.
• Highly motivated individuals with excellent problem-solving skills and the ability to prioritize shifting workloads in a rapidly changing industry. An effective communicator, you ll be a confident leader equipped with strong people management skills and a genuine passion to make things happen in a dynamic organization.
• What working at EY offers.
• Support, coaching and feedback from some of the most engaging colleagues around.
• Opportunities to develop new skills and progress your career.
• The freedom and flexibility to handle your role in a way that s right for you.
• about EY
• As a global leader in assurance, tax, transaction and advisory services, we hire and develop the most passionate people in their field to help build a better working world. This starts with a culture that believes in giving you the training, opportunities and creative freedom to make things better. So that whenever you join, however long you stay, the exceptional EY experience lasts a lifetime.
• If you can confidently demonstrate that you meet the criteria above, please contact us as soon as possible.
• Join us in building a better working world. Apply now!.

ทักษะ:

ETL, Big Data, SQL

ประเภทงาน:

งานประจำ

• Design and develop ETL solutions using data integration tools for interfacing between source application and the Enterprise Data Warehouse.
• Experience with Big Data or data warehouse.
• Analyze & translate functional specifications & change requests into technical specifications.
• Experience in SQL programming in one of these RDBMSs such as Oracle.
• Develops ETL technical specifications, designs, develops, tests, implements, and supports optimal data solutions.
• Develops Documents ETL data mappings, data dictionaries, processes, programs and solutions as per established standards for data governance.
• Design and create codes for all related data extraction, transformation and loading (ETL) into database under responsibilities.
• Creates, executes, and documents unit test plans for ETL and data integration processes and programs.
• Perform problem assessment, resolution and documentation in existing ETL packages, mapping and workflows in production.
• Performance tuning of the ETL process and SQL queries and recommend and implement ETL and query tuning techniques.
• Qualifications Bachelor s degree in Information Technology, Computer Science, Computer Engineering, or a related field.
• Experience with CI/CD tools (e.g., Jenkins, GitLab CI/CD) and automation frameworks.
• Proficiency in cloud platforms such as AWS, Azure, and associated services.
• Knowledge of IAC tools like Terraform or Azure ARM.
• Familiarity with monitoring and logging tools like Prometheus, Grafana, ELK stack, APM, etc.
• Good understanding of IT Operations.
• Strong problem-solving skills and the ability to troubleshoot complex issues.
• Excellent communication and teamwork skills to collaborate effectively across various teams.
• 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

Greenline Synergy provides the Enterprise Data Management System to BDMS hospitals. It is the process of inventorying and governing your business's data and getting your organization onboard with the process. The services would be Enterprise Data Platform, Enterprise Data Warehouse, Analytics and Performance Report and Operational Statistic Report..