เงื่อนไขการค้นหา

ทักษะ:

Risk Management

ประเภทงาน:

งานประจำ

• FB: Krungsri Career.
• LINE: Krungsri Career.
• Linkedin: Krungsri.

ทักษะ:

Excel, Tableau

ประเภทงาน:

งานประจำ

• ออกแบบโครงสร้าง Data Marketing สำหรับ RueJai App.
• กำหนด Data Fields ที่ต้องเก็บ เช่น.
• Behavioral Data (frequency - feature usage, segmentation, customer journey vs purchase).
• Transaction Data (purchase, repurchase).
• Sale performance (lead/ channel/ target/ success rate).
• Campaign Response Data.
• Marketing Data & Analytics.
• จัดเก็บ รวบรวม วิเคราะห์ บริหารข้อมูลการตลาด Transaction และ Presale.
• วิเคราะห์พฤติกรรมการ การใช้งานแอปพลิเคชั่น ซื้อสินค้าและบริการ และข้อมูลตามอายุบ้าน/ คอนโด.
• สร้าง Lead เพื่อการขาย.
• ร่วมวางแผนและกำหนดกลุ่มเป้าหมายสำหรับแคมเปญการตลาด.
• วิเคราะห์ประสิทธิภาพแคมเปญ เช่น Conversion Rate, Engagement Rate, Retention Rate.
• พัฒนาข้อมูลเพื่อสร้าง Dashboard สำหรับติดตาม OKR ของทีม.
• วิเคราะห์โอกาสสร้างรายได้จากบริการภายในแอป.
• Customer Insight & Segmentation.
• วิเคราะห์ Customer Journey ของลูกบ้านแต่ละ Segment (บ้านแนวราบ / คอนโด).
• สร้าง Segmentation Model เช่น.
• High Engagement Residents.
• Service Heavy Users.
• Passive Users.
• สร้าง Predictive Insight เพื่อหา Upsell / Cross-sell Opportunity.
• Campaign Performance & Personalization.
• จัดทำ Insight Report เพื่อสนับสนุนการตัดสินใจเชิงกลยุทธ์ของทีม Marketing.
• ออกแบบ Targeted Campaign ผ่าน Push Notification / In-app Message / Email.
• วิเคราะห์ Conversion Rate, CTR, Engagement Rate.
• Reporting.
• รายงานผลการดำเนินงานประจำเดือน/ไตรมาส.
• รายงาน OKR.
• VU / MAU/ Growth Rate/ Engagement Rate/ Retention Rate.
• Presales/Revenue.
• สรุป Insight ให้ผู้บริหารในเชิงกลยุทธ์ (ไม่ใช่แค่ตัวเลข).
• รายงาน Incentive ให้พนักงานขาย (Incentive per sale/ channel).
• Support Backend RueJai App.
• นำรายละเอียดข้อมูลการขาย แพ็กเกจต่างๆใส่ในระบบ backend app และจัดเก็บข้อมูลอย่างเหมาะสม.
• Skill ที่ควรมี.
• ชอบตัวเลข และการวิเคราะห์ข้อมูล ชอบตั้งคำถามจากข้อมูลที่เห็น.
• Data Analytics (Excel Advanced, Tableau, etc.).
• Strategic Thinking + Business Mindset.
• เป็น Data Analyst ที่เข้าใจ Marketing.
• ปริญญาตรีหรือสูงกว่า สาขาการตลาด บริหารธุรกิจ สถิติ วิทยาการข้อมูล หรือสาขาอื่นที่เกี่ยวข้อง.
• มีประสบการณ์ด้าน Data Analytics / Marketing Analytics / CRM อย่างน้อย 2-3 ปี.
• สมัครงาน โปรดระบุ Expected Salary.
• Co working Space
• ฟิตเนต
• ประกันสังคม / ประกันสุขภาพ / ประกันชีวิต / ประกันอุบัติเหตุ
• กองทุนสำรองเลี้ยงชีพ
• โบนัสประจำปี
• วันลาพักร้อน เมื่อผ่านทดลองงาน
• วันลา Workation
• วันหยุดพิเศษในเดือนเกิด
• ตรวจสุขภาพประจำปี
• เงินช่วยเหลือสมรส / เงินช่วยเหลือฌาปนกิจ.
• การเดินทาง
• BTS: สถานีพหลโยธิน24
• MRT: สถานีพหลโยธิน
• บริการเรียกรถผ่าน App MuvMi.
• ติดตามข่าวสารจาก SC ASSET ได้ที่
• http://insidesc.scasset.com/.

ประสบการณ์:

5 ปีขึ้นไป

ทักษะ:

Project Management, Research

ประเภทงาน:

งานประจำ

• Bachelor's degree or equivalent practical experience.
• 5 years of experience in program or project management.
• Experience working with local municipalities, associations, key opinion formers, non-profit decision makers, education institutions, and community members.
• Experience building place-based development strategies and executing against those plans with measurable local impacts and business outcomes.
• Experience synthesizing data and research findings into recommendations.
• Master s degree or equivalent practical experience.
• Experience developing and launching local, state, national or global public-private partnerships.
• Experience using analytics to make decisions.
• Experience in one or more of the following: data centers, utilities, government, advanced manufacturing.
• Ability to grow in a fluid multinational environment working across multiple lines of business.
• Ability to travel 25% of the time as needed across a multi-market data center portfolio.
• 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.
• Google's infrastructure needs go far beyond server computers. As products and services scale globally, we work behind the scenes to secure infrastructure to secure Google's future.
• In this role, you will be responsible for analyzing and mitigating economic, community, and labor risks to deliver an optimized inventory of assets meeting the operating needs of the business, and to ensure and maintain the license to operate in the markets. You will provide the strategy, programs, structure, and toolsets for economic, community, and workforce development issues to allow the regional site selection, negotiation, construction, operations, and execution teams to consistently make high-quality decisions at scale, faster, and with less risk, to meet the needs of Google s business while protecting the license to operate and effectively engaging in the data center markets.
• Lead global data center community development strategies, investments, and impacts for Thailand.
• Engage with key opinion formers and community groups such as municipal leaders, industry partners, economic development organizations, schools, education institutions, and non-profits to ensure initiatives are centered around community needs and accelerate business objectives.
• Collaborate with team leaders and peers to develop strategies that scale sub-regional community affairs coverage and focus on place-based frameworks and partnerships to produce location-specific development plans based on research data turned into actionable insights.
• Develop tools and processes to educate local communities about the role and impact of the data centers and create investment plans that are self-sustaining.
• Build and maintain key internal relationships including acquisitions and development, energy, government affairs and public policy, cloud supply chain and operations, marketing, Google.org, and local Google data center teams.
• Google is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. See also Google's EEO Policy and EEO is the Law. If you have a disability or special need that requires accommodation, please let us know by completing our Accommodations for Applicants form.

ประสบการณ์:

2 ปีขึ้นไป

ทักษะ:

Risk Management

ประเภทงาน:

งานประจำ

• Bachelor's degree in a technical field, or equivalent practical experience.
• 2 years of experience in program management.
• Experience in driving the new product introduction (NPI) programs and process improvement initiatives.
• 2 years of experience managing cross-functional or cross-team projects.
• Experience with server hall infrastructure (e.g., server racks, server machines, networking switches, fiber management, etc.).
• Experience with electrical infrastructure (e.g., electrical switchyard, transformers, HV/MV transmission and distribution, etc.), or mechanical infrastructure (e.g., cooling towers, chillers, gensets, MCUs, etc.).
• Ability to build strong relationships, manage multiple concurrent projects, and lead various, global, cross-functional teams.
• Ability to adapt, thrive in ambiguous environments and create scalable process order to drive results.
• Ability to travel domestically and internationally up to 15% of the time.
• 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 Technical Program Manager at Google, you ll use your technical expertise to lead complex, multi-disciplinary projects from start to finish. You ll work with stakeholders to plan requirements, identify risks, manage project schedules, and communicate clearly with cross-functional partners across the company. You're equally comfortable explaining your team's analyses and recommendations to executives as you are discussing the technical tradeoffs in product development with engineers.
• 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.
• The Data Center Operations (DCOps) organizations mission is to deploy, operate, and maintain a scalable and secure global Google Data center infrastructure safely, reliably, and efficiently, 24x7.
• In this role, you will lead the operational readiness strategy for Google's newest data center technical infrastructure. You will act as the vital bridge between product development and field execution, ensuring all new releases are designed, built, and deployed with operability, safety, and scale in mind.
• You will partner with data center infrastructure engineering, supply chain, manufacturing, and experts globally to drive the execution of operations and maintenance strategies for all product deployments.
• Google Cloud accelerates every organization s ability to digitally transform its business and industry. We deliver enterprise-grade solutions that leverage Google s cutting-edge technology, and tools that help developers build more sustainably. Customers in more than 200 countries and territories turn to Google Cloud as their trusted partner to enable growth and solve their most critical business problems.
• Represent the Data Center operations cross-function for new product development (NPI) programs that result in the launch and deployment of complex technical infrastructure.
• Ensure alignment of product and business goals by developing and driving program plans and coordinate activities within the established program timelines and budgets.
• Work closely with subject matter experts and point of contacts (POC) internal as well as external to the reporting organization. Highlight dynamic issues and manage the activities of internal and external resources in the planning and execution of programs.
• Be responsible for overall coordination of the Data Center Operations Product team, their activities and day to day management of the program and progress on appropriate cadence.
• Develop and execute risk management plans and communications plans.
• Google is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. See also Google's EEO Policy and EEO is the Law. If you have a disability or special need that requires accommodation, please let us know by completing our Accommodations for Applicants form.

ทักษะ:

Statistics, Excel, SQL, English

ประเภทงาน:

งานประจำ

• Be the partner with PTG s business teams, understand their data needs, and build plans to address those with intelligent data on time.
• To tell a story and provide insights to the users enabled to make better decision by delivering data solution.
• Use statistical tools to identify, analyze, and interpret patterns, trends and insights in complex data sets that could be helpful for the diagnosis and prediction to support PTG s business.
• Responsible for planning and providing final analysis report for PTG s business to understand the data-analysis steps, enabling them to take important decisions based on various facts and trends.
• Encourage and collaborate with multiple internal stakeholders to use statistical / analytical tools in planning and decision-making process.
• Bachelor s degree in computer science, data analytics, statistics, economics or related fields.
• Proficient in data analytics tools and other computer programs; MS Word, Excel, PowerPoint etc.
• Excellent communication skill both in Thai and English.
• Experience in programming and SQL.
• Able to work under pressure and with multiple stakeholders within limited timeline.
• Interested in new technologies / innovations.
• Master's degree in a quantitative discipline.
• At least 1-2 years of experience in a similar role preferably with solid knowledge in food & beverage industry, CRM and retail business.
• Experience working on teams that managed large scale data projects.
• Knowledge with Data Science, Advanced Analytics, Machine learning tools, and methodologies.
• Conceptual, logical and physical data modeling, and data architecture knowledge.
• Visualization expertise in tools like Tableau and Power BI etc..
• PTG Energy Public Company Limited.
• 90 CW Tower, Tower A, 33rd Floor, Ratchadaphisek Road,.
• Huaykwang, Bangkok 10310.
• www.ptgenergy.co.th.

ทักษะ:

Product Development, Tableau, SQL

ประเภทงาน:

งานประจำ

• Identify valuable data sources and automate collection processes.
• Undertake preprocessing of structured and unstructured data.
• Analyze large amounts of information to discover trends and patterns.
• Build predictive models and machine-learning algorithms.
• Combine models through ensemble modeling.
• Present information using data visualization techniques.
• Propose solutions and strategies to business challenges.
• Collaborate with engineering and product development teams.
• BSc/BA in Computer Science, Engineering or relevant field; graduate degree in Data Science or other quantitative field is preferred.
• Proven experience as a Data Scientist or Data Analyst.
• Experience in data mining.
• Experience using business intelligence tools (e.g. Tableau).
• Knowledge of SQL and Python.
• Understanding of machine-learning and operations research.
• Analytical mind and business acumen.
• Strong math skills (e.g. statistics).
• Problem-solving aptitude.
• Excellent communication and presentation skills Working knowledge of message queuing, stream processing, and highly scalable big data data stores.
• Applicants can read the Personal Data Protection Announcement of the Bank's Human Resources Function by typing the link from the image that stated below.
• EN: (https://krungsri.com/b/privacynoticeen).
• ผู้สมัครสามารถอ่านประกาศการคุ้มครองข้อมูลส่วนบุคคลส่วนงานทรัพยากรบุคคลของธนาคารได้โดยการพิมพ์ลิงค์จากรูปภาพที่ปรากฎด้านล่าง.
• ภาษาไทย: (https://krungsri.com/b/privacynoticeth).
• หมายเหตุ ธนาคารมีความจำเป็นและจะมีขั้นตอนการตรวจสอบข้อมูลส่วนบุคคลเกี่ยวกับประวัติอาชญากรรมของผู้สมัคร ก่อนที่ผู้สมัครจะได้รับการพิจารณาเข้าร่วมงานกับธนาคารกรุงศรีฯ.
• Remark: The bank needs to and will have a process for verifying personal information related to the criminal history of applicants before they are considered for employment with the bank.

ทักษะ:

Sales, Procurement, Legal

ประเภทงาน:

งานประจำ

• Bachelor's degree or equivalent practical experience.
• 10 years of experience in promoting databases solutions or data management software.
• Experience in planning, pitching, and executing a territory business.
• Experience working with C-level executives and cross-functionally across all levels of management.
• Experience managing agreements or partnerships.
• Experience working with internal/external teams, including account teams, technical leads, procurement, and legal, to inventory existing software estate, build cases for transformation with implementation plans, and close agreements.
• Experience supporting executive relationships, and developing new territories/accounts, while ensuring customer success, adoption and expansion.
• Experience with databases technologies and products (e.g., PostgreSQL, MySQL, Oracle, MongoDB, HA, security, etc.) and deployment options in the cloud.
• Experience carrying and exceeding business goals in a sales role.
• Experience working in an overlay sales role.
• The Google Cloud Platform team helps customers transform and build what's next for their business all with technology built in the cloud. Our products are developed for security, reliability and scalability, running the full stack from infrastructure to applications to devices and hardware. Our teams are dedicated to helping our customers developers, small and large businesses, educational institutions and government agencies see the benefits of our technology come to life. As part of an entrepreneurial team in this rapidly growing business, you will play a key role in understanding the needs of our customers and help shape the future of businesses of all sizes use technology to connect with customers, employees and partners.
• As a Database Sales Specialist, you will help us grow our operational database business by building and expanding relationships with new and existing customers. In this role, you will work with customers to deliver business, demonstrate product functionality and provide a comprehensive overview of business use cases. You will lead day-to-day relationships with cross-functional team members, serving as a solution lead within the sales organization. You will lead go-to-market strategies, sales plays, run campaigns, and execute on the opportunities created.
• Google Cloud accelerates every organization s ability to digitally transform its business and industry. We deliver enterprise-grade solutions that leverage Google s technology, and tools that help developers build more sustainably. Customers in more than 200 countries and territories turn to Google Cloud as their trusted partner to enable growth and solve their most critical business problems.
• Make databases a leading conversation in sales discussions/account strategy, develop country and segment specific plans for Google Cloud Platform (GCP) database services, and work with sub-region leadership team to define databases pen testing and ramp strategies.
• Build relationships with customers as trusted advisor to understand their business drivers/technology footprint, identify appropriate Google databases solution use cases, manage complex business cycles and influence long-term strategic direction.
• Deliver against quota and achieve strategic business and growth goals while forecasting and reporting territory s business.
• Work with account and cross-functional teams (e.g., sales representative and sales managers, customer engineering, marketing, customer success) to develop go-to-market strategies, generate and progress pipeline, understand the customers, and provide excellent prospect and customer experience.
• Collaborate with partner team to activate database-specific partners, ensure sales teams and customers have access to partners.
• Google is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. See also Google's EEO Policy and EEO is the Law. If you have a disability or special need that requires accommodation, please let us know by completing our Accommodations for Applicants form.

ทักษะ:

Compliance

ประเภทงาน:

งานประจำ

• FB: Krungsri Career.
• LINE: Krungsri Career.
• LinkedIn: Krungsri.
• Talent Acquisition Department
• Bank of Ayudhya Public Company Limited
• 1222 Rama III Rd., Bangpongpang, Yannawa, Bangkok 10120.

ทักษะ:

Digital Marketing, Big Data, Statistics

ประเภทงาน:

งานประจำ

• Drive clear and effective business translation of AI/ML products between business and technical stakeholders..
• Design, develop and leverage Advanced analytics, Artificial Intelligence (AI) and Machine Learning (ML) models to support digital marketing, MarTech, AdTech, and hyper-personalization initiatives..
• Analyze Big Data to develop effective predictive and recommendation models..
• Collaborate closely with Product Owners, IT teams, and Data teams to implement AI solutions that improve marketing campaign performance..
• Continuously refine and enhance AI models through testing and performance evaluation..
• 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, Computer Engineering, Data Science, Statistics, or any related field..
• Minimum of 2 years in AI/ML engineer, cloud solution or a related field..
• Proficiency in some of the following: Python, PySpark and SQL etc..
• Experience or strong interest in digital marketing, MarTech, and AdTech, especially data-driven marketing strategies is a plus..
• 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...
• You have read and reviewed Infinitas By Krungthai Company Limited's Privacy Policy at https://krungthai.com/Download/download/DownloadDownload_73Privacy_Policy_Infinitas.pdf. The Bank does not intend or require the processing of any sensitive personal data, including information related to religion and/or blood type, which may appear on copy of your identification card. Therefore, please refrain from uploading any documents, including copy(ies) of your identification card, or providing sensitive personal data or any other information that is unrelated or unnecessary for the purpose of applying for a position on the website. Additionally, please ensure that you have removed any sensitive personal data (if any) from your resume and other documents before uploading them to the website.
• The Bank is required to collect your criminal record information to assess employment eligibility, verify qualifications, or evaluate suitability for certain positions. Your consent to the collection, use, or disclosure of your criminal record information is necessary for entering into an agreement and being considered for the aforementioned purposes. If you do not consent to the collection, use, or disclosure of your criminal record information, or if you later withdraw such consent, the Bank may be unable to proceed with the stated purposes, potentially resulting in the loss of your employment opportunity with.".

ประสบการณ์:

9 ปีขึ้นไป

ทักษะ:

English

ประเภทงาน:

งานประจำ

• Associate's degree, trade school certification, or other certified training in a related technical field, or equivalent practical experience.
• 9 years of experience in operations management and facilities management.
• Experience in critical facility operation management.
• Ability to communicate in English fluently to work with local and other internal stakeholders.
• Experience working in data center environments, including building and operating infrastructure.
• Experience with initiating and executing initiatives in a global environment.
• Ability to perform operational assessment and risk analysis of third-party sites.
• Ability to forecast resource requirements in a data-motivated way.
• Excellent problem-solving skills.
• Passion for operations and people management.
• As a Data Center Technical Operations Manager, you will be involved in nearly every aspect of colocation operations of our electrical, cooling, and IT infrastructure. You will partner with the Google data center engineering team, hardware operations, network infrastructure and third-party data center vendors and operators with a focus on operability, maintainability and reliability. You will represent the operations organization, and will be responsible to ensure operability, maintainability and reliability are critical criteria for Google assets.
• You will provide occasional on-call support to the global third-party data center operation, support the risk management program by escalating findings to ensure business awareness and provide prompt mitigation strategies. You will manage documents and trend relevant Operations and Maintenance (O&M) data and contribute to Global program initiatives. You will oversee technical and team leads through the successful completion of required maintenance, troubleshooting, and repair tasks to maintain equipment to the global standard and perform operational assessment and risk analysis of third-party party co-location facility (COLO) sites, while also supporting the site selection process through operational and technical knowledge. The Data Center team designs and operates some of the most sophisticated electrical and HVAC systems in the world. We are an upbeat, creative, team-oriented group of engineers committed to building and operating powerful data centers.
• Own COLO facility operation within an area/region, with full accountability for this area tactically and strategically.
• Keep key stakeholders informed about current work and are able to discuss strategic decisions and directions with them while coordinating the planning of critical activities.
• Analyze and de-conflict regional COLO work notification and change requests to ensure successful completion of planned and reactive maintenance within COLO sites.
• Provide technical support for mini-cluster COLO sites within a region and act as liaison between the COLO provider and cross-functional teams and stakeholders.
• Respond to critical events and alarms in accordance with contractual obligations while providing technical expertise during incidents.
• Google is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. See also Google's EEO Policy and EEO is the Law. If you have a disability or special need that requires accommodation, please let us know by completing our Accommodations for Applicants form.

ทักษะ:

Kafka, Python, SQL

ประเภทงาน:

งานประจำ

• Develop and maintain credit risk assessment and lending decisions modules.
• Expertise for handling large financial databases and credit data manipulation.
• Design and implement credit-risk decisioning model solutions using API-based frameworks (e.g., Flask, FastAPI) or event-driven architecture (e.g., Kafka, Pub/Sub), along with other suitable technologies.
• Monitor model performance to ensure high accuracy and reliability in credit decisions.
• Data Analysis & Risk Assessment.
• Clean and preprocess financial datasets, particularly credit lending and risk data.
• Conduct advanced statistical analyses to support risk assessment and lending decisions.
• Technical Skills.
• Proficiency in Python, SQL, and machine learning libraries (TensorFlow, PyTorch, Scikit-Learn).
• Experience with cloud platforms (AWS,GCP) for model deployment.
• Knowledge of statistical and machine learning techniques for risk modeling.
• Domain Expertise.
• Understanding of credit lending and risk assessment principles.
• Experience in financial data analysis within regulatory constraints.
• Proven track record in developing credit decision engines (optional).
• Education & Experience.
• Bachelor s degree or higher in Statistics, Computer Science, Mathematics, or related field.
• Minimum 3 years experience in retail lending or similar role.
• Additional Requirements.
• Strong communication skills for presenting complex findings and process flow to management.
• Experience with data visualization tools (Tableau, Power BI).
• Ability to work collaboratively with cross-functional teams..
• You have read and reviewed Infinitas By Krungthai Company Limited's Privacy Policy at https://krungthai.com/Download/download/DownloadDownload_73Privacy_Policy_Infinitas.pdf. The Bank does not intend or require the processing of any sensitive personal data, including information related to religion and/or blood type, which may appear on copy of your identification card. Therefore, please refrain from uploading any documents, including copy(ies) of your identification card, or providing sensitive personal data or any other information that is unrelated or unnecessary for the purpose of applying for a position on the website. Additionally, please ensure that you have removed any sensitive personal data (if any) from your resume and other documents before uploading them to the website.
• The Bank is required to collect your criminal record information to assess employment eligibility, verify qualifications, or evaluate suitability for certain positions. Your consent to the collection, use, or disclosure of your criminal record information is necessary for entering into an agreement and being considered for the aforementioned purposes. If you do not consent to the collection, use, or disclosure of your criminal record information, or if you later withdraw such consent, the Bank may be unable to proceed with the stated purposes, potentially resulting in the loss of your employment opportunity with.".

ทักษะ:

SQL

ประเภทงาน:

งานประจำ

• Understand RDT (Regulatory Data Transformation) requirement from BOT (Bank of Thailand).
• Provide data availability analysis, data source, data extraction criteria and confirm with related Domain expert, Data owner and support functions.
• Provide data validation rules.
• Confirm final data extraction logic with IT-RDT team.
• Support for any DQ issue and solution.
• Maintain RDT Center parameters.
• Sign off all the RDT changes, testing and ensure the correct result together with related Domain experts, Data Owners and support functions.
• Apply now if you have these advantages.
• Bachelor s degree or higher in Computer Science / Management Information System or any related field.
• Experience in Business Analyst / Data Engineer / Data Analyst / Data Governance.
• Experience in regulatory data management, its relationship and dependencies.
• Well-versed in banking industry knowledge and strong in data-related skills.
• Well-versed RDT Regulation Literacy.
• Data profiling with variety data sources.
• Interpersonal skill with IT/Domain Expert/Data Owner, able to communicate well.
• Advance SQL skill is a must for this role.
• Banking background will be advantage.
• Why join Krungsri?.
• As a part of MUFG (Mitsubishi UFJ Financial Group), we a truly a global bank with networks all over the world.
• We offer a striking work-life balance culture with hybrid work policies (3 days in office per week).
• Unbelievable benefits such as attractive bonuses, employee loan with special rates and many more..
• Apply now before this role is close. **.
• FB: Krungsri Career(http://bit.ly/FacebookKrungsriCareer [link removed]).
• LINE: Krungsri Career (http://bit.ly/LineKrungsriCareer [link removed]).
• Talent Acquisition Department
• Bank of Ayudhya Public Company Limited
• 1222 Rama III Rd., Bangpongpang, Yannawa, Bangkok 10120.
• หมายเหตุ ธนาคารมีความจำเป็นและจะมีขั้นตอนการตรวจสอบข้อมูลส่วนบุคคลเกี่ยวกับประวัติอาชญากรรมของผู้สมัคร ก่อนที่ผู้สมัครจะได้รับการพิจารณาเข้าร่วมงานกับธนาคารกรุงศรีฯ.
• Remark: The bank needs to and will have a process for verifying personal information related to the criminal history of applicants before they are considered for employment with the bank..
• Applicants can read the Personal Data Protection Announcement of the Bank's Human Resources Function by typing the link from the image that stated below.
• EN (https://krungsri.com/b/privacynoticeen).
• ผู้สมัครสามารถอ่านประกาศการคุ้มครองข้อมูลส่วนบุคคลส่วนงานทรัพยากรบุคคลของธนาคารได้โดยการพิมพ์ลิงค์จากรูปภาพที่ปรากฎด้านล่าง.
• ภาษาไทย (https://krungsri.com/b/privacynoticeth).

ประเภทงาน:

งานประจำ

• Design and develop data storage structures from various systems, ensuring data integration for efficient usage.
• Organize data in a format that is ready for use and supports analysis.
• Define report formats that meet the needs of different departments within the organization.
• Develop automated reporting systems that can deliver data to each team according to scheduled timelines.
• Design reports to support product category management and space management based on POS (Point of Sale) data.
• Process and analyze data from POS systems, as well as market survey data, to develop sales strategies for different areas and store segments.
• Analyze sales data and business performance, and compare them against targets.
• Analyze promotional campaign data and summarize results to present to management.
• Analyze marketing data including growth rate, pricing, product lifecycle, distribution, merchandising, and repeat purchases, by compiling reports from both internal company data and competitor data.
• Participate in annual budgeting (sales and promotional activities).
• At least 4 years of experience in data structure design, automated reporting, and data analysis for business development, with a strong focus on Power BI and SQL.
• Knowledge of retail / FMCG business operations.
• Strong strategic thinking and advanced data analysis skills.
• Familiarity with Big Data tools, analytics platforms, and digital technologies.
• Proficiency in data visualization tools such as Power BI and SQL.
• Contact Person: [email protected] (Apitchaya).

ประเภทงาน:

งานประจำ

• รับผิดชอบการจัดทำและคำนวณค่า Commission พนักงาน ให้ถูกต้องตามหลักเกณฑ์ที่กำหนด
• ตรวจสอบและปรับปรุงสถานะร้านค้าในระบบ เพื่อใช้เป็นข้อมูลในการวางแผนการดำเนินงานประจำเดือน
• รวบรวมและตรวจสอบข้อมูลเป้าหมายจากฝ่ายขาย พร้อมดำเนินการปรับปรุงข้อมูลให้ถูกต้อง
• ตรวจสอบความถูกต้องของข้อมูลยอดขายประจำเดือน
• บริหารจัดการข้อมูล (Data Management) ให้มีความถูกต้อง ครบถ้วน และเป็นระบบ
• วิเคราะห์ เปรียบเทียบข้อมูลเป้าหมาย-ยอดขายรายเดือน เพื่อจัดทำค่า Commission พนักงานอย่างถูกต้อง
• จัดทำรายงานสรุปผลการดำเนินงาน (Performance Report)
• วิเคราะห์ข้อมูลเชิงลึก (Data Analysis) เช่น ข้อมูลเป้าหมาย ยอดขาย (Sale In) ประเภทการขาย และช่องทางการขายในแต่ละพื้นที่ เพื่อสนับสนุนการวางแผน
• ติดตามและประสานงานด้านเอกสารการเปิด-ปิดร้านค้าในระบบให้เป็นไปตามกระบวนการ
• ออกแบบ พัฒนา และปรับปรุง Dashboard
• นำเสนอข้อมูลเชิงวิเคราะห์ (Insight) ต่อผู้มีส่วนเกี่ยวข้อง.
• Job Skills & Qualifications.
• Educations Background (การศึกษา): ปริญญาตรีหรือสูงกว่า ในสาขาบริหารธุรกิจ การตลาด สถิติ เทคโนโลยีสารสนเทศ หรือสาขาอื่นที่เกี่ยวข้อง
• มีประสบการณ์ด้านงาน Data Support, Sales Support หรือสายงานที่เกี่ยวข้อง
• มีความรู้และทักษะด้านการวิเคราะห์ข้อมูล (Data Analysis) และการจัดทำรายงานเชิงบริหาร (Management Reporting)
• สามารถใช้ Power BI ในการออกแบบและพัฒนา Dashboard รวมถึง Data Visualization ได้เป็นอย่างดี โดยผู้ที่มีประสบการณ์ใช้งาน 3-5 ปีขึ้นไป จะได้รับการพิจารณาเป็นพิเศษ.

ทักษะ:

Legal, Statistics, Data Analysis

ประเภทงาน:

งานประจำ

• Maintain, update, and manage litigation data in the bank s information systems (e.g., LIT system) to ensure accuracy and completeness.
• Prepare and analyze litigation reports, including statistical data and case status, to support case monitoring and management.
• Coordinate with related departments to obtain additional documents or information and ensure data accuracy in the system.
• Support the preparation of management reports regarding litigation status, case progress, and other related information.
• Scan and manage legal documents and upload them into the bank s document management systems and shared drives.
• Assist in improving data management processes and supporting the use of systems or tools to enhance efficiency in litigation data management.
• Perform other duties as assigned by supervisors.
• Bachelor s degree in Information Technology, Statistics, Data Science, Computer Science, or related fields.
• Experience in data management, data analysis, or information systems is preferred.
• Strong proficiency in Microsoft Excel and data analysis tools.
• Good analytical, data management, and reporting skills.
• Detail-oriented with strong organizational skills.
• Experience in banking, financial institutions, or legal/litigation environments will be an advantage.
• Applicants can read the Personal Data Protection Announcement of the Bank's Human Resources Function by typing the link from the image that stated below.
• (https://krungsri.com/b/privacynoticeen).
• Remark: The bank needs to and will have a process for verifying personal information related to the criminal history of applicants before they are considered for employment with the bank.
• Only shortlisted candidates will be contacted"
• FB: Krungsri Career.
• LinkedIn: Krungsri.
• LINE: Krungsri Career.

ทักษะ:

Research, Big Data, Full Stack, English

ประเภทงาน:

งานประจำ

• Develop customer and business insights to identify business opportunities or resolve business challenges, and provide actionable recommendations to guide business decisions.
• Prepare data from different data sets for building analytical models and delivering customer insights and recommendations to guide business decisions.
• Communicate findings and build buy-in with key stakeholders through data visualizations.
• Deliver pre and post campaign analysis to guide the design and optimization of analytical models and personalized marketing campaigns.
• Design, develop, and deploy analytical models and advanced analytic solutions using statistical techniques and machine learning technologies.
• Work with engineers to implement end-to-end process from model development to testing, validation, deployment, and lifecycle support.
• Research and Development on novel data science and analytics tools and ML/AI technology.
• Background/ Experiences.
• 3+ years of Experience working with customer-centric data at big data-scale and applying machine learning, optimization and statistical methods to large datasets in various industries: financial services, telecom, retails, insurance, e-commerce, or related industries.
• Strong statistical knowledge, superior analytical abilities, and good knowledge of business intelligence solutions.
• Full stack experience in data collection, aggregation, analysis, visualization, productionisation, and monitoring of ML products - MLOps.
• Experience in being able to translate business needs into executable data science and analytics solutions.
• Proven track record in client engagement, relationship building, and project management is PLUS.
• Knowledge & Skills.
• Bachelor's degree or equivalent experience in quantitative field (Statistics, Mathematics, Computer Science, Engineering).
• Deep understanding of mathematics and statistical modeling, predictive modeling, and machine-learning algorithms with hands-on experience with Machine Learning frameworks.
• Excellent Proficiency in programing languages (SQL, R, Python) and Experience with business intelligence solutions (Tableau, PowerBI or Advanced Excel).
• Hand-on experience in data engineering, working with big data technology (Spark/Hadoop) and cloud platforms such as Azure, AWS, or GCP.
• Excellent verbal, written, and interpersonal communication skills (both Thai and English).

ทักษะ:

Statistics, Excel, SQL, English

ประเภทงาน:

งานประจำ

• Be the partner with PTG s business teams, understand their data needs, and build plans to address those with intelligent data on time.
• To tell a story and provide insights to the users enabled to make better decision by delivering data solution.
• Use statistical tools to identify, analyze, and interpret patterns, trends and insights in complex data sets that could be helpful for the diagnosis and prediction to support PTG s business.
• Responsible for planning and providing final analysis report for PTG s business to understand the data-analysis steps, enabling them to take important decisions based on various facts and trends.
• Encourage and collaborate with multiple internal stakeholders to use statistical / analytical tools in planning and decision-making process.
• Bachelor s degree in computer science, data analytics, statistics, economics or related fields.
• Proficient in data analytics tools and other computer programs; MS Word, Excel, PowerPoint etc.
• Excellent communication skill both in Thai and English.
• Experience in programming and SQL.
• Able to work under pressure and with multiple stakeholders within limited timeline.
• Interested in new technologies / innovations.
• Master's degree in a quantitative discipline.
• At least 1-2 years of experience in a similar role preferably with solid knowledge in food & beverage industry, CRM and retail business.
• Experience working on teams that managed large scale data projects.
• Knowledge with Data Science, Advanced Analytics, Machine learning tools, and methodologies.
• Conceptual, logical and physical data modeling, and data architecture knowledge.
• Visualization expertise in tools like Tableau and Power BI etc..
• PTG Energy Public Company Limited.
• 90 CW Tower, Tower A, 33rd Floor, Ratchadaphisek Road,.
• Huaykwang, Bangkok 10310.
• www.ptgenergy.co.th.

ทักษะ:

Research, Big Data, Full Stack, English

ประเภทงาน:

งานประจำ

• Develop customer and business insights to identify business opportunities or resolve business challenges, and provide actionable recommendations to guide business decisions.
• Prepare data from different data sets for building analytical models and delivering customer insights and recommendations to guide business decisions.
• Communicate findings and build buy-in with key stakeholders through data visualizations.
• Deliver pre and post campaign analysis to guide the design and optimization of analytical models and personalized marketing campaigns.
• Design, develop, and deploy analytical models and advanced analytic solutions using statistical techniques and machine learning technologies.
• Work with engineers to implement end-to-end process from model development to testing, validation, deployment, and lifecycle support.
• Research and Development on novel data science and analytics tools and ML/AI technology.
• Background/ Experiences.
• 3+ years of Experience working with customer-centric data at big data-scale and applying machine learning, optimization and statistical methods to large datasets in various industries: financial services, telecom, retails, insurance, e-commerce, or related industries.
• Strong statistical knowledge, superior analytical abilities, and good knowledge of business intelligence solutions.
• Full stack experience in data collection, aggregation, analysis, visualization, productionisation, and monitoring of ML products - MLOps.
• Experience in being able to translate business needs into executable data science and analytics solutions.
• Proven track record in client engagement, relationship building, and project management is PLUS.
• Knowledge & Skills.
• Bachelor's degree or equivalent experience in quantitative field (Statistics, Mathematics, Computer Science, Engineering).
• Deep understanding of mathematics and statistical modeling, predictive modeling, and machine-learning algorithms with hands-on experience with Machine Learning frameworks.
• Excellent Proficiency in programing languages (SQL, R, Python) and Experience with business intelligence solutions (Tableau, PowerBI or Advanced Excel).
• Hand-on experience in data engineering, working with big data technology (Spark/Hadoop) and cloud platforms such as Azure, AWS, or GCP.
• Excellent verbal, written, and interpersonal communication skills (both Thai and English).

ประเภทงาน:

งานประจำ

• ปรับปรุงฐานข้อมูลเชิง Engineering และวิเคราะห์ข้อมูล เพื่อให้เกิดประสิทธิภาพและความเสถียรภาพ ของอุปกรณ์การผลิต.
• พัฒนาโมเดลทำนายความเสียหายของเครื่องจักร เพื่อให้ทีมซ่อมบำรุงวางแผนซ่อมบำรุงล่วงหน้า (Predictive Maintenance).
• วิเคราะห์และปรับปรุงเส้นทางการขนส่ง ทางบกและทางน้ำ เพื่อให้มีประสิทธิภาพสูงสุด และ ลดต้นทุน.
• สร้างเครื่องมือวิเคราะห์ เพื่อช่วยในการ บริหารสต็อกน้ำมันและการจัดสรรผลิตภัณฑ์ ไปยังคลังได้อย่างเหมาะสม.
• ดูแลโมเดลทั้งหมด ตั้งแต่การพัฒนา, การทดสอบ, การนำไปใช้จริง, ไปจนถึง การติดตามและปรับปรุง ให้ทำงานได้ดีเสมอ.
• สร้างระบบ (Data Pipeline) ด้วยโค้ด Python และ SQL เพื่อเตรียมข้อมูลขนาดใหญ่สำหรับการวิเคราะห์.
• ทำงานร่วมกับวิศวกร เพื่อนำเสนอผลลัพธ์ที่ซับซ้อนให้เป็น ข้อมูลเชิงลึกที่นำไปใช้ได้จริง ผ่านเครื่องมือ Power BI.
• ปริญญาตรี / โท ในสาขา Data Science, สถิติ, วิทยาการคอมพิวเตอร์, วิศวกรรมศาสตร์, คณิตศาสตร์ประยุกต์.
• 1-3 ปีขึ้นไป ในบทบาท Data Scientist, Data Analyst, หรือ Machine Learning Engineer โดยมีประสบการณ์ในการทำงานกับ Big Data และ การนำโมเดลไปใช้งานจริง.
• เขียนโค้ด Python ได้คล่อง เพื่อใช้ในการวิเคราะห์ข้อมูลและสร้างโมเดล.
• ดึงและจัดการข้อมูลขนาดใหญ่ จากฐานข้อมูลต่าง ๆ ได้อย่างมีประสิทธิภาพด้วย SQL.
• สร้างและนำโมเดล Machine Learning ไปใช้จริงในระบบ เพื่อสร้างผลลัพธ์ทางธุรกิจ.

ทักษะ:

Business Development, Statistics, Power BI

ประเภทงาน:

งานประจำ

• Bachelor s degree in Business, Economics, Statistics, Engineering, or related fields (Master s degree preferred).
• 5-8 years of experience in business analysis, data strategy, or commercial development.
• Strong analytical and problem-solving skills with proven business acumen.
• Experience working with BI and analytics tools (e.g., Power BI, Tableau, SQL, Python/R).
• Ability to synthesize complex data into business-friendly insights and recommendations.
• Excellent communication and stakeholder management skills.
• Strong presentation and storytelling ability to influence senior management..