เงื่อนไขการค้นหา

ทักษะ:

SQL, Python, Digital Marketing

ประเภทงาน:

งานประจำ

• 3-4 years of experience in data analysis, ideally in a marketing analytics, growth, or customer intelligence function within FinTech, Banking, or Digital Products.
• Strong SQL skills - able to write complex queries confidently and always validate output before sharing with stakeholders.
• Proficiency in Python or Pyspark for data wrangling, cohort analysis, and statistical testing.
• Experience in prompt engineering or LLM integrations applied to real analytics use cases.
• Familiarity with cloud platforms for querying and managing large-scale datasets.
• Comfortable using AI productivity tools to enhance reporting workflows, draft insight narratives, and speed up exploratory analysis.
• Understanding of digital marketing measurement: attribution models, funnel metrics, cohort LTV, and campaign KPIs.
• Ability to manage shifting priorities and deliver accurate work under deadline pressure.
• Clear communication skills with both technical and non-technical stakeholders.
• Contact: K.Wannaporn 02------866.
• You have read and reviewed Krung Thai Bank Public Company Limited's Privacy Policy at https://krungthai.com/th/content/privacy-policy. 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:

2 ปีขึ้นไป

ทักษะ:

Power BI, Tableau, SQL

ประเภทงาน:

งานประจำ

หน้าที่ความรับผิดชอบ: รวบรวมและวิเคราะห์ความต้องการด้านธุรกิจและข้อมูลจากลูกค้าและทีมงานภายใน จัดทำและจัดเตรียมเอกสาร Business Requirement Document (BRD), Data Flow, และ Process Flow วิเคราะห์ข้อมูลเบื้องต้นโดยใช้เครื่องมือ เช่น SQL, Excel, Power BI สร้างรายงานเชิงวิเคราะห์เพื่อสนับสนุนการตัดสินใจทางธุรกิจ ประสานงานกับทีมพัฒนาเพื่อออกแบบโซลูชันที่ตอบโจทย์ทางธุรกิจ คุณสมบัติ: วุฒิการศึกษาระดับปริญญาตรีหรือสูงกว่าในสาขาวิทยาการคอมพิวเตอร์ สถิติ วิศวกรรม หรือสาขาที่เกี่ยวข้อง มีประสบการณ์ในการวิเคราะห์ข้อมูลและจัดทำรายงานเชิงวิเคราะห์อย่างน้อย 2 ปี มีความสามารถในการใช้ SQL, Excel และเ ...

ทักษะ:

Good Communication Skills, Project Management, System Security

ประเภทงาน:

งานประจำ

Make an impact at NTT Global Data Centers Join NTT Global Data Centers and be part of a team that drives innovation and sustainability in the digital world. With over 150 data centers across more than 20 countries globally, we offer unparalleled opportunities to work on cutting-edge technology and transformative projects. Experience a collaborative, innovative, and inclusive workplace where your ideas are valued, and your growth is supported. Your role at a glance The Senior Associate IT Data Center Operations Analyst is a developing subject matter expert typically responsible for ...

ประสบการณ์:

3 ปีขึ้นไป

ทักษะ:

Automation

ประเภทงาน:

งานประจำ

• Develop and generate pricing reports, dashboards and automation tools to drive Pricing KPIs and process improvement.
• Managing and drive pricing KPIs by running regular reports and collaborating with stakeholders to implement pricing action (for example, Ship to Agreement, surcharge exception, Net Price Change, customized rates, new rates programs.
• Execute the major annual pricing projects including General Price Increase.
• Conduct analysis and review of pricing, costing, operational process, and profit for selected customers using the relevant pricing tools from Regional/Global Pricing.
• Provide competitive pricing offers and contracts for our major and key account customers whilst maintaining profit yielding structures.
• Recommend pricing strategies on RFQs and GSRT.
• Work closely with the Commercial, Operations, and other regional/ global teams to develop, implement and track recommended actions from SPA workshop and Regional Pricing.
• Devise innovative processes/ programs and solutions to make pricing more efficient through country rating system (GRE) and continue to drive profitable growth for DHL's business forward.
• Advise on appropriate pricing strategy for regional or global led RFQs upon request through Local/Regional TRB.
• Maintain country rating system (GRE) with setup of rates, S&S maintenance and all other settings.
• Train and advise sales in exercising the discount policy/pricing strategies/product tariff structure and dispensing contract rates or discounted rates appropriately.
• Ensure that all pricing collaterals such as tariff cards submitted to customers portray the brand in a positive manner and are user friendly.
• Ensure up-to-date pricing information is made available on company's SharePoint such as rates, service and surcharges, etc.
• Provide general pricing support including system support, billing errors and ad-hoc reports for stakeholders.
• Bachelor's Degree or Higher in Business Administration, Finance, Marketing, Information Technology, Computer Science, Data Analytics or equivalent will be preferred.
• Minimum 4 years' data experience in data analytics with demonstrated commercial acumen, numerical and problem-solving skill - Essential.
• Good command of English (Both of Written & Spoken).
• Hands on experience with large-scale reporting and data evaluation.
• Strong attention to detail and a demonstrated ability to ensure accuracy and quality in data analysis.
• 3-4 years experience in product and/or service pricing, marketing analysis, business analysis, or a related field will be an advantage.
• Strong analytical capability, with practical experience in MS Excel (including VBA Macro, Power Query and Power Pivot), SQL/Access, and Power BI.
• Experience with automation tools such as Power Automate, Power Apps, SharePoint Automation, RPA, or Python will be an advantage.
• Ability to manage multiple priorities, meet deadlines, and adapt effectively to changing business requirements.
• Ability to work independently as well as collaboratively within a team.
• Strong communication, project management, collaboration, and stakeholder management skills.

ประสบการณ์:

2 ปีขึ้นไป

ทักษะ:

Google Cloud Platform, Agile Development, Public Speaking, Microsoft Azure, Web Services

ประเภทงาน:

งานประจำ

Are you ready to unleash your potential? At Deloitte, our purpose is to make an impact that matters for our clients, our people, and the communities we serve. We believe we have a responsibility to be a force for good, and WorldImpact is our portfolio of initiatives focused on making a tangible impact on society's biggest challenges and creating a better future. We strive to advise clients on how to deliver purpose-led growth and embed more equitable, inclusive as well as sustainable business practices. Hence, we seek talented individuals driven to excel and innovate, working toget ...

ทักษะ:

SQL, ETL, Compliance

ประเภทงาน:

งานประจำ

• Act as the first point of contact and trusted data solution partner for business data initiatives, translating banking business needs into clear data requirements, data model inputs, SQL-based data inquiries, and delivery-ready specifications for the Data Warehouse and Data Analytics teams.
• Serve as the intake owner for data projects, enhancement requests, impact assessments, and data usage demand.
• Lead and coordinate project planning, timeline management, stakeholder communication ...
• Lead the analysis and design of end-to-end data flows, translating business requirements into data solutions, source-to-target mappings, and high-level data architecture in collaboration with data architects, data engineers, data governance teams, and vendors.
• Lead the design of business-aligned data models, data structures, and data lineage, ensuring consistency across source systems, data warehouse, data marts, and analytics consumption layers.
• Use SQL for basic to intermediate data inquiry, profiling, reconciliation, validation, and issue inve.
• stigation.Facilitate workshops, manage requirements scope, track decisions, resolve requirements issues, and secure business sign-off.
• Support SIT and Perform UAT activities, defect investigation and resolution, data quality checks, production readiness, user communication, and post-implementation review.
• Work with data engineers to resolve data incidents, if any.
• Apply now if you have these advantages.
• Bachelor's or Master's degree in Business, IT, Data, Computer Science, MIS, Finance, or related field.8 - 10+ years of experience in Business Analysis, Data Analysis, Data Warehouse, BI/Analytics, or project delivery, preferably in banking or financial services.
• Hands-on experience with data warehouse concepts, data mart design, ETL/ELT lifecycle, reporting, dashboards, or analytics delivery.
• Working knowledge of SQL for data inquiry, validation, and requirement clarification.
• Good understanding of project management practices, Agile/Waterfall delivery, requirement traceability, risk/issue tracking, and stakeholder governance.
• Expected knowledge across banking products and processes such as loans, deposits, payments, cards, customers, finance, risk, compliance, and regulatory reporting..
• 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.
• สอบถามข้อมูลเพิ่มเติม: Talent Acquisition Center 0-2-----000.
• 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).

ทักษะ:

SQL, Power BI, Python

ประเภทงาน:

งานประจำ

• วิเคราะห์ข้อมูลลูกค้า สมาชิก และพฤติกรรมการใช้บริการ เพื่อค้นหา Insight และโอกาสในการพัฒนาธุรกิจ.
• วิเคราะห์ผลการดำเนินงานของ Loyalty Program และแคมเปญ CRM พร้อมจัดทำข้อเสนอแนะเพื่อเพิ่มประสิทธิภาพ.
• จัดทำ Dashboard และรายงานผลการดำเนินงาน เพื่อสนับสนุนการตัดสินใจของผู้บริหาร.
• พัฒนา Customer Segmentation และติดตามตัวชี้วัดด้านลูกค้า เช่น Acquisition, Retention และ Engagement.
• ดึง ตรวจสอบ และวิเคราะห์ข้อมูลจากฐานข้อมูลด้วย SQL และเครื่องมือ Business Intelligence (BI).
• ประสานงานกับทีมการตลาด หน่วยงานธุรกิจ และทีม Data เพื่อสนับสนุนการวิเคราะห์และขับเคลื่อนธุรกิจด้วยข้อมูล.
• สำเร็จการศึกษาระดับปริญญาตรีขึ้นไป สาขาสถิติ วิศวกรรมศาสตร์ เศรษฐศาสตร์ บริหารธุรกิจ การตลาด หรือสาขาอื่นที่เกี่ยวข้อง.
• มีประสบการณ์ด้าน Data Analytics, CRM, Loyalty Analytics หรือ Business Intelligence อย่างน้อย 2 ปี.
• สามารถใช้งาน SQL, Microsoft Excel และ Power BI ได้เป็นอย่างดี.
• มีทักษะในการวิเคราะห์ข้อมูล และนำเสนอข้อเสนอแนะเชิงธุรกิจ.
• มีทักษะการสื่อสารและการนำเสนอ สามารถประสานงานกับผู้เกี่ยวข้องได้อย่างมีประสิทธิภาพ.
• หากมีประสบการณ์ด้าน Customer Analytics, CRM Platform หรือ Python จะได้รับการพิจารณาเป็นพิเศษ.
• ทักษะที่จำเป็น.
• SQL.
• Power BI.
• Microsoft Excel.
• Customer Analytics.
• CRM & Loyalty Analytics.
• Dashboard Development.
• Analytical Thinking.

ทักษะ:

Excel, Research, Power BI, English

ประเภทงาน:

งานประจำ

• Design an employee engagement survey based on global best practices, such as Gallup, Aon, and Mercer..
• Support the online survey in Thai, English, Myanmar, and Indonesian..
• Track survey participation and provide regular updates by country and function.
• Analyze survey data and identify key engagement drivers, strengths, and gaps.
• Develop an interactive dashboard with drill-down by country and function.
• Total OSP.
• Thailand, Myanmar, and Indonesia.
• Functions / Departments.
• Provide practical recommendations and action plans to improve employee engagement.
• Key Deliverables.
• Excel data and analysis.
• Interactive dashboard.
• PowerPoint presentation.
• Key insights and recommendations.
• Action plans.
• University Professor / Lecturer, Master's student / intern, researcher, data analyst, or someone with relevant experience or interest..
• Interest or experience in Employee Engagement, HR Analytics, People Analytics, Research, or Data Analysis..
• Good skills in Excel and PowerPoint..
• Experience with Power BI or other dashboard tools is a plus..
• Good analytical and communication skills.
• Able to work independently and meet project deadlines.

ทักษะ:

Product Owner, ETL, Power BI

ประเภทงาน:

งานประจำ

• รับผิดชอบการออกแบบ Data model ที่รองรับการใช้งานระยะยาว.
• ช่วยวางแผนการสร้าง Data mart ให้เหมาะกับ use case ต่างๆ.
• ทำงานร่วมกับทีม ETL / Data Engineer เพื่อจัด schema, pipeline ให้ตรงกับความต้องการ.
• สื่อสารและแปล requirement ธุรกิจมาเป็น solution เชิงข้อมูลได้ดี.
• ทำหน้าที่วิเคราะห์ข้อมูลเชิงลึกให้กับหน่วยธุรกิจ.
• ออกแบบและพัฒนา Dashboard / Report บน Power BI อย่าง advance.
• ดึงข้อมูลจาก DWH โดยใช้ SQL ที่ซับซ้อน รวมถึงการทำ data wrangling.
• มีประสบการณ์ด้าน Data Analytics, Business Analysis, System Analysis หรือ Product Owner อย่างน้อย 5 ปี.
• มีความเชี่ยวชาญภาษา SQL เป็นอย่างดี.
• มีความเชี่ยวชาญ Visualization Tool เช่น Power BI และหรือ Data tools อื่นๆที่เกี่ยวกับ Data.
• มีประสบการณ์บริหาร Backlog, Use Case หรือ Project ด้าน Data จะได้รับการพิจารณาเป็นพิเศษ.
• มีความรู้ความเข้าใจใน Data Warehouse Concept, ETL เป็นอย่างดี.
• ทักษะการออกแบบ Data model, Data Mart.
• ทักษะในการวิเคราะ/แก้ไขปัญหา.
• K. Nanchanok (Recruiter) Email: nanchanok.r@ thaibev.com.
• Company name: DIGITAL AND TECHNOLOGY SERVICES CO., LTD.
• Office location: F.Y.I Center 2525 Rama IV Rd, Khlong Tan, Khlong Toei, Bangkok 10110.
• MRT QSNCC Station Exit 1.

ทักษะ:

Power BI, Tableau, Finance, English

ประเภทงาน:

งานประจำ

• Collect, clean, and analyze data from sales, marketing, and CRM systems.
• Build and maintain dashboards and performance reports (Power BI, Tableau, or Google Data Studio).
• Monitor and evaluate campaign results, product performance, and sales trends.
• Provide data-driven insights to support marketing strategies and business planning.
• Collaborate with sales, finance, and product teams to align business insights.
• Ensure data accuracy and consistency across all reports.
• Bachelor's degree in Business Analytics, Data Science, Statistics, Economics, or related field.
• At least 3 years of experience in data analysis, business intelligence, or commercial analytics.
• Strong skills in Excel, SQL, and data visualization tools (Power BI, Tableau, or Google Data Studio).
• Experience with CRM and marketing analytics tools is a plus.
• Analytical, detail-oriented, and comfortable presenting insights to management.
• Good command of English and Thai, both written and spoken.

ประเภทงาน:

งานประจำ

• Develop HR reports/dashboards, perform advanced data analysis, and oversee data quality and business processes in HRIS to offer business insights while ensuring data accuracy and operational efficiency in HRIS.
• Lead and execute HR data-related initiatives, implementing HRIS enhancements and optimizing processes for operational excellence and efficiency in HRIS..
• Develop executive-level HR reports/dashboards to drive data-driven decision-making at the management levels.
• Employ advanced analytical tools and statistical techniques to conduct complex data analysis, delivering valuable business insights and recommendations to stakeholders.
• Engage with HR teams and other teams in various functions to discern data requirements, gather pertinent HR data, and fulfill their business needs effectively.
• Oversee HRIS business processes, permission access and data quality, taking the lead in data cleansing, updates, and quality checks to ensure high-quality data for future usage and analysis.
• Lead and collaborate with multiple stakeholders, including group offices to implement new Workday modules, introducing features, and supporting HR digitization initiatives to advance HR digitization efforts.
• Mentor and guide junior data analysts in effectively operating HRIS business processes, troubleshooting incidents, and developing data analysis skills through sharing best practices.

ประสบการณ์:

5 ปีขึ้นไป

ทักษะ:

Data Warehousing, Data Analysis, Recruitment, Assurance, Power BI

ประเภทงาน:

งานประจำ

Who We Are Located in the heart of Bangkok's Phrom Phong District, Sertis is ASEAN's leading Data and AI engineering and solutions company. Since 2014, our advanced solutions and products have powered over 400 enterprise Data and AI deployments at the region's leading companies and conglomerates. We are also a member firm of Andersen Consulting, a global consulting practice integrating business strategy, digital transformation, and AI-driven technology solutions with Andersen Global's world-class expertise. What We Do Sertis provides both productized and bespoke AI and Data solutio ...

ทักษะ:

Power BI, Tableau, Python, SQL

ประเภทงาน:

งานประจำ

• การจัดการข้อมูล: ดูแลการรวบรวม จัดการ และเก็บรักษาข้อมูลในองค์กร เพื่อให้แน่ใจว่าข้อมูลมีความถูกต้องและมีคุณภาพ.
• การวิเคราะห์ข้อมูล: ใช้เทคนิคทางสถิติในการรวบรวม สรุปข้อมูล และวิเคราะห์ผลลัพธ์ เพื่อสร้างรายงานและการแสดงผลที่เข้าใจง่ายสำหรับผู้ที่ใช้ข้อมูล.
• พัฒนาและปรับปรุงระบบการรายงานข้อมูลอย่างต่อเนื่อง.
• วิเคราะห์ตลาด คู่แข่ง และพฤติกรรมลูกค้า เพื่อค้นหาโอกาสทางธุรกิจใหม่ๆ.
• ในการรวบรวม และสรุปข้อมูลทั่วไป/ เชิงลึก เพื่อเป็นข้อมูลแนวโน้ม และเชิงสถิติในการตัดสินใจเชิงกลยุทธ์ให้กับผู้บริหาร.
• งานอื่นๆ ที่ได้รับมอบหมาย.
• ปริญญาตรีหรือสูงกว่าในสาขาที่เกี่ยวข้อง เช่น สถิติ คณิตศาสตร์ หรือสาขาที่เกี่ยวข้องกับธุรกิจ.
• มีประสบการณ์ในการทำงานด้านวิเคราะห์ข้อมูลอย่างน้อย 5 ปี.
• มีความรู้ความเข้าใจในเครื่องมือวิเคราะห์ข้อมูล เช่น SQL, Python, R, Tableau, Power BI เป็นต้น.
• มีความสามารถในการนำเสนอข้อมูลที่ซับซ้อนให้เข้าใจง่าย.
• มีประสบการณ์ในการทำงานในอุตสาหกรรมค้าปลีก.
• มีความรู้ความเข้าใจในหลักการทางการตลาด.

ประสบการณ์:

3 ปีขึ้นไป

ทักษะ:

Automation, English, German

ประเภทงาน:

งานประจำ

• Corporate Actions Processing.
• Monitor and process Corporate Action events (mandatory and voluntary), including announcement capture, entitlement, and instruction processing.
• Ensure completeness and accuracy of event processing across systems.
• Prepare and review client reporting, including entitlement reports, event summaries, and meeting results.
• Support related cash and FX processing for Corporate Actions where applicable.
• Handle queries related to Corporate Actions events and provide timely responses.
• Utilise automation / AI-assisted tools (e.g. data extraction, reconciliation support) to enhance efficiency and reduce manual processing where feasible.
• Securities Settlements.
• Process and monitor securities settlements (DVP/RVP/FOP), including trade validation and status updates.
• Perform trade matching, exception handling, and investigation of settlement breaks.
• Monitor failed or unmatched trades and ensure timely resolution.
• Prepare settlement-related reports, including cash projection and trade status reports.
• Support FX processing linked to settlement transactions where required.
• Apply data analytics / AI-supported insights to support exception monitoring and reporting accuracy.
• Account Management & Static Data.
• Maintain static data including account setup, client reference data, and settlement instructions.
• Support account opening, maintenance, and closure processes across internal and market systems.
• Perform data validation and reconciliation to ensure completeness and accuracy.
• Prepare supporting data for billing and reconciliation activities.
• Leverage automation and digital tools to improve data quality and streamline maintenance processes.
• Client Servicing & Reporting.
• Respond to client queries in a timely and accurate manner.
• Prepare and review standard and ad-hoc client reports.
• Coordinate with internal stakeholders (Operations, Technology, Compliance) and external parties (clients, agents, market infrastructures).
• Ensure timely delivery of all reporting obligations.
• Use AI-enabled tools where appropriate to support reporting preparation, data summarisation, and communication drafting, in line with internal policies.
• Controls, Risk & Compliance.
• Perform maker-checker controls (4-eyes principle) on critical processes.
• Ensure compliance with internal procedures, regulatory requirements and audit standards.
• Identify, monitor and escalate operational risks, exceptions, and control breaks.
• Maintain proper documentation and support audit requirements.
• Ensure responsible and compliant use of AI/tools.
• including adherence to data confidentiality, model governance, and audit requirements.
• Process Improvement & Automation.
• Identify process gaps and inefficiencies and support automation initiatives.
• Participate in system enhancements and operational improvement projects.
• Support standardisation and optimisation of operational processes.
• Actively contribute to AI and digital adoption initiatives to improve operational efficiency and reduce manual effort.
• 1 to 3 years of experience in custody operations, securities settlements, corporate actions, or asset servicing.
• Good understanding of custody operations processes (Corporate Actions, Settlements, Static Data).
• Strong communication skills with ability to engage internal and external stakeholders.
• Good English communication (written and spoken).
• Ability to work under pressure and manage high volumes of tasks.
• Strong attention to detail with a control-focused mindset.
• Proficiency in Microsoft Excel and related tools.
• Basic awareness of AI/digital tools.
• (e.g. data analytics tools, workflow automation, AI assistants) with willingness to adopt new technologies responsibly.
• Flexible working to assist you balance your personal priorities.
• Coaching and support from experts in your team.
• A culture of continuous learning to aid progression.
• A range of flexible benefits that you can tailor to suit your needs.
• Training and development to help you excel in your career.
• Deutsche Bank is the leading German bank with strong European roots and a global network. click here to see what we do.
• Deutsche Bank & Diversity.
• We strive for a culture in which we are empowered to excel together every day. This includes acting responsibly, thinking commercially, taking initiative and working collaboratively.
• Together we share and celebrate the successes of our people. Together we are Deutsche Bank Group.
• We welcome applications from all people and promote a positive, fair and inclusive work environment.

ประสบการณ์:

2 ปีขึ้นไป

ทักษะ:

Social media

ประเภทงาน:

งานประจำ

• Handle.
• Social Media Data.
• Learn and understand the objectives of each business or industry assigned and set up the tools or crawlers in ways that can best collect data to directly serve the needs of clients from different industries.
• Gather and clean the unrelated data from the data collected.
• Code, categorize, and label the data from the voices of customers on social media.
• Display Social Media Data and Insights.
• Understand the basic of a business process and how a business and/or its stakeholders can leverage from having data to insightfully analyze the processed data and deliver that insights to clients.
• Incorporate data to create a report with the analysis using PowerPoint or PowerBI.
• Present reports to clients and handle inquiries in a professional manner.
• Use social media data to create and deliver quality reports to support clients business decision making and measure the business performance.
• Aged between 22-30 years old.
• Holds a bachelor degree or above in Economics, Statistics, Marketing, Business Management, or related field.
• Enjoys working with data! as you would be spending 80% of your time dealing with it Has creativity and able to make sense out of the social data to turn it into insights best serves the clients business objectives.
• Comfortable using MS Excel with knowledge of fundamental functions, and able to handle a large amount of data.
• Good at using MS PowerPoint and can create a professional report to present to clients Understand Research Methods Knowledge Base such as descriptive analysis Good analytical and logical thinking skills and experienced in working with data analyzation.
• Experienced in data visualization tools (e.g. Power BI, or Tableau).
• PREFERRED QUALIFICATION.
• Familiar with social media measurement, knows the matter values such as Engagement Rate, Interaction Rate.
• Has some understanding or experiences in working with social media or marketing strategies.
• WHAT YOU WILL DEVELOP FROM THIS POSITION.
• Utilized the social media data to listen to online customers, measure brands success, or find a business opportunity.
• Sharpen your understanding and the art of revealing the clients needs Practice techniques and skills in analyzing social media data.
• Learn to work with different tools in analyzing data.
• Showcase your reports and present them to corporates and leading companies in the market.

ประสบการณ์:

2 ปีขึ้นไป

ทักษะ:

Problem Solving, Data Analysis, Recruitment, Automation, Tableau, YouTube, Python, SQL

ประเภทงาน:

งานประจำ

• At Agoda, we bridge the world through travel. Our story began in 2005, when two lifelong friends and entrepreneurs, driven by their passion for travel, launched Agoda to make it easier for everyone to explore the world.
• Today, we are part of Booking Holdings [NASDAQ: BKNG], with a diverse team of over 7,000 people from 90 countries, working together in offices around the globe. Every day, we connect people to destinations and experiences, with our great deals across our millions of hotels and holiday properties, flights, and experiences worldwide.
• No two days are the same at Agoda. Data and technology are at the heart of our culture, fueling our curiosity and innovation. If you're ready to begin your best journey and help build travel for the world, join us.
• THIS ROLE IS BASED IN BANGKOK, THAILAND (WITH RELOCATION PROVIDED).
• Location: Bangkok, Thailand (*Not open for remote work).
• The Supply Analytics team delivers data-driven insights and decision support to optimize Agoda's supply ecosystem. We analyze partner and marketplace dynamics, build forecasts and models, run experiments, and create scalable dashboards and data products that power strategic direction and operational execution. We bring value through rigorous analyses and pragmatic, measurable recommendations that help Supply, Product and other teams prioritize work and drive impact. Our work improves inventory quality, partner economics, and the long-term health and growth of Agoda.
• As a Senior Analyst, you will report directly to either the Senior Manager or Associate Director within the Supply Department and this will be an individual contributor role. You will be responsible and fully empowered to work with the partners on the ground. You will be supported by a team within the Supply department and work closely with other Team members within Agoda.
• In this Role, you'll get to.
• Translate internal briefs into analytical projects (to include refining the initial brief and asking the 'right questions', working through potential hypotheses and storyboarding the output).
• Use and analyze data from multiple large-scale data warehouses and present statistically strong analysis to a wide range of business stakeholders.
• Proactively identify opportunities for growth within supply and the wider business.
• Drive new analytical initiatives and projects aimed at improving organizational efficiency and shaping Agoda supply.
• Identify, support, and lead projects aimed at scaling up the way the Supply organization leverages on data, insights, and intelligence.
• Automate manual operational processes and present back on time savings gained through modernization of business operations.
• What you'll Need to Succeed.
• At least 2-5+ years of experience working as an Analyst with experience in analytics/data science/insights/strategy/BI.
• Advanced working knowledge and hands-on experience in SQL.
• Strong knowledge and hands-on experience in data visualization tools such as Tableau (preferably).
• Expert domain of data analysis and data visualization tools and software such as Excel, Python (or R).
• Bachelor's degree ideally in a business or quantitative subject (e.g. computer science, mathematics, engineering, science, economics or finance).
• A good understanding of statistical modelling knowledge or any machine learning technique knowledge (such as hypothesis testing, regression, logistic regression, random forest, etc.).
• Good stakeholder management experience. Comfortable presenting to senior leadership and C-suite.
• Experience in conducting A/B testing experimentation.
• Strong experience in finding data insights and provide business recommendation to the business.
• A hacker's mindset - the ability to build simple but clever and elegant solutions to new problems within significant resource, operational and time constraints through deep understanding of the business, creative problem solving, and a wide range of expertise in data, analytics, automation, programming, and prototyping.
• Excellent communicator with superior written, verbal, presentation and interpersonal communication skills.
• Data driven in both decision making and performance measurement.
• Extreme comfort in ambiguous, fast-paced environment.
• Ability to multi-task, prioritize and coordinate resources.
• MBA or Masters in a quantitative subject (e.g. computer science, mathematics, engineering, science, economics or finance).
• Program management certifications (e.g. PMI, PRINCE2) to compliment your program management experience.
• Asian market experience.
• Travel industry / e-commerce / tech / consulting experience.
• sanfrancisco.
• Please review our Hiring Process Guidelines before your interview click.
• here.
• to learn how interviewing at Agoda works.
• Discover more about working at Agoda.
• Agoda Careers.
• https://careersatagoda.com.
• Facebook.
• https://www.facebook.com/agodacareers/.
• LinkedIn.
• https://www.linkedin.com/company/agoda.
• YouTube.
• https://www.youtube.com/agodalife.
• Equal Opportunity Employer.
• At Agoda, we pride ourselves on being a company represented by people of all different backgrounds and orientations. We prioritize attracting diverse talent and cultivating an inclusive environment that encourages collaboration and innovation. Employment at Agoda is based solely on a person's merit and qualifications. We are committed to providing equal employment opportunity regardless of sex, age, race, color, national origin, religion, marital status, pregnancy, sexual orientation, gender identity, disability, citizenship, veteran or military status, and other legally protected characteristics.
• We will keep your application on file so that we can consider you for future vacancies and you can always ask to have your details removed from the file. For more details please read our.
• privacy policy.
• Disclaimer.
• We do not accept any terms or conditions, nor do we recognize any agency's representation of a candidate, from unsolicited third-party or agency submissions. If we receive unsolicited or speculative CVs, we reserve the right to contact and hire the candidate directly without any obligation to pay a recruitment fee.

ประสบการณ์:

1 ปีขึ้นไป

ทักษะ:

Thai

ประเภทงาน:

งานประจำ

• At Agoda, we bridge the world through travel. Our story began in 2005, when two lifelong friends and entrepreneurs, driven by their passion for travel, launched Agoda to make it easier for everyone to explore the world.
• Today, we are part of Booking Holdings [NASDAQ: BKNG], with a diverse team of over 7,000 people from 90 countries, working together in offices around the globe. Every day, we connect people to destinations and experiences, with our great deals across our millions of hotels and holiday properties, flights, and experiences worldwide.
• No two days are the same at Agoda. Data and technology are at the heart of our culture, fueling our curiosity and innovation. If you're ready to begin your best journey and help build travel for the world, join us.
• Get to Know our.
• The Performance Marketing Team of Agoda is a world leader in online marketing. This department is highly data-driven and focused on developing at-scale marketing programs that improve the lifetime value of Agoda customers through measurable marketing programs and channels. The team is a blend of the best analysts, marketing strategists, and data scientists in the world. The marketing leadership at Agoda have deep experience in data science, product, strategy, and other marketing fields and have built an organization that thrives on data, creative ideas, and technology. The Performance Marketing Team also fosters a great learning environment. You will be able to learn and grow by working closely with experts from a variety of backgrounds from all over the world.
• In this Role, you'll get.
• Search: Experiment with text ads, bidding, and campaign structures on Google, Bing, Baidu, Naver, and other search engines. Adapt to new product features and roll out changes from successful tests.
• Display: Test, analyze, and optimize campaigns on Facebook, Twitter, Instagram, and others.
• Modeling: Analyze the vast amounts of data generated by experiments, develop models we can use for optimization, and build dashboards for account managers.
• What you'll Need to.
• Bachelor's Degree or higher from top university in a quantitative subject (computer science, mathematics, economics, engineering, statistics or science).
• Fresh graduation are welcome.
• (0-1 years of experience).
• Ability to communicate fluently in English.
• Basic business acumen.
• Proficient in statistics and Excel.
• Exposure to data tools (SAS, R, SPSS, Python, VBA, SQL, Tableau).
• Familiar with A/B testing concepts.
• Works under close supervision and supports projects with guidance.
• It's Great if you.
• Experience in digital marketing.
• Academic research experience.
• Bengaluru.
• Please review our Hiring Process Guidelines before your interview click.
• here.
• to learn how interviewing at Agoda works.
• Discover more about working at Agoda.
• Agoda Careers.
• https://careersatagoda.com.
• Facebook.
• https://www.facebook.com/agodacareers/.
• LinkedIn.
• https://www.linkedin.com/company/agoda.
• YouTube.
• https://www.youtube.com/agodalife.
• Equal Opportunity Employer.
• At Agoda, we pride ourselves on being a company represented by people of all different backgrounds and orientations. We prioritize attracting diverse talent and cultivating an inclusive environment that encourages collaboration and innovation. Employment at Agoda is based solely on a person's merit and qualifications. We are committed to providing equal employment opportunity regardless of sex, age, race, color, national origin, religion, marital status, pregnancy, sexual orientation, gender identity, disability, citizenship, veteran or military status, and other legally protected characteristics.
• We will keep your application on file so that we can consider you for future vacancies and you can always ask to have your details removed from the file. For more details please read our.
• privacy policy.
• Disclaimer.
• We do not accept any terms or conditions, nor do we recognize any agency's representation of a candidate, from unsolicited third-party or agency submissions. If we receive unsolicited or speculative CVs, we reserve the right to contact and hire the candidate directly without any obligation to pay a recruitment fee.

ประสบการณ์:

2 ปีขึ้นไป

ทักษะ:

Digital Marketing, Recruitment, Tableau, YouTube, Python, SQL, SAS, English

ประเภทงาน:

งานประจำ

• At Agoda, we bridge the world through travel. Our story began in 2005, when two lifelong friends and entrepreneurs, driven by their passion for travel, launched Agoda to make it easier for everyone to explore the world.
• Today, we are part of Booking Holdings [NASDAQ: BKNG], with a diverse team of over 7,000 people from 90 countries, working together in offices around the globe. Every day, we connect people to destinations and experiences, with our great deals across our millions of hotels and holiday properties, flights, and experiences worldwide.
• No two days are the same at Agoda. Data and technology are at the heart of our culture, fueling our curiosity and innovation. If you're ready to begin your best journey and help build travel for the world, join us.
• This role is based in Bangkok, Thailand, and is open to candidates worldwide. We offer a generous relocation package to ensure a smooth transition to living and working in Bangkok.
• Get to Know our.
• The Performance Marketing Team of Agoda is a world leader in online marketing. This department is highly data-driven and focused on developing at-scale marketing programs that improve the lifetime value of Agoda customers through measurable marketing programs and channels. The team is a blend of the best analysts, marketing strategists, and data scientists in the world. The marketing leadership at Agoda have deep experience in data science, product, strategy, and other marketing fields and have built an organization that thrives on data, creative ideas, and technology. The Performance Marketing Team also fosters a great learning environment. You will be able to learn and grow by working closely with experts from a variety of backgrounds from all over the world.
• In this Role, you'll get.
• Search: Experiment with text ads, bidding, and campaign structures on Google, Bing, Baidu, Naver, and other search engines. Adapt to new product features and roll out changes from successful tests.
• Display: Test, analyze, and optimize campaigns on Facebook, Twitter, Instagram, and others.
• Modeling: Analyze the vast amounts of data generated by experiments, develop models we can use for optimization, and build dashboards for account managers.
• What you'll Need to.
• 2-3 years of experience.
• Bachelor's Degree or higher from top university in a quantitative subject (computer science, mathematics, economics, engineering, statistics or science).
• Strong English communication.
• Solid business acumen.
• Strong statistical and analytical skills.
• Proficient in Excel and hands-on with data tools (SAS, R, SPSS, Python, VBA, SQL, Tableau).
• Experience designing and analyzing A/B tests.
• Works independently on daily analytics tasks and provides business recommendations.
• It's Great if you.
• Experience in digital marketing.
• Academic research experience.
• Bengaluru.
• Please review our Hiring Process Guidelines before your interview click.
• here.
• to learn how interviewing at Agoda works.
• Discover more about working at Agoda.
• Agoda Careers.
• https://careersatagoda.com.
• Facebook.
• https://www.facebook.com/agodacareers/.
• LinkedIn.
• https://www.linkedin.com/company/agoda.
• YouTube.
• https://www.youtube.com/agodalife.
• Equal Opportunity Employer.
• At Agoda, we pride ourselves on being a company represented by people of all different backgrounds and orientations. We prioritize attracting diverse talent and cultivating an inclusive environment that encourages collaboration and innovation. Employment at Agoda is based solely on a person's merit and qualifications. We are committed to providing equal employment opportunity regardless of sex, age, race, color, national origin, religion, marital status, pregnancy, sexual orientation, gender identity, disability, citizenship, veteran or military status, and other legally protected characteristics.
• We will keep your application on file so that we can consider you for future vacancies and you can always ask to have your details removed from the file. For more details please read our.
• privacy policy.
• Disclaimer.
• We do not accept any terms or conditions, nor do we recognize any agency's representation of a candidate, from unsolicited third-party or agency submissions. If we receive unsolicited or speculative CVs, we reserve the right to contact and hire the candidate directly without any obligation to pay a recruitment fee.

ทักษะ:

Project Management, Recruitment, YouTube, English

ประเภทงาน:

งานประจำ

• At Agoda, we bridge the world through travel. Our story began in 2005, when two lifelong friends and entrepreneurs, driven by their passion for travel, launched Agoda to make it easier for everyone to explore the world.
• Today, we are part of Booking Holdings [NASDAQ: BKNG], with a diverse team of over 7,000 people from 90 countries, working together in offices around the globe. Every day, we connect people to destinations and experiences, with our great deals across our millions of hotels and holiday properties, flights, and experiences worldwide.
• No two days are the same at Agoda. Data and technology are at the heart of our culture, fueling our curiosity and innovation. If you're ready to begin your best journey and help build travel for the world, join us.
• In the age of technology, things are constantly changing. The travel market is much the same, being more dynamic and complex than ever. Agoda's Legal team is well suited to take on the challenges presented, adopting a proactive mindset to tackle challenges and solve problems. We are quick on our feet, decisive, and collaborate with multiple departments. We hire out-of-the-box thinkers that are well grounded with ethics and legal knowledge to ensure that Agoda achieves the right results, the right way.
• The Global Privacy environment is changing at a speed never seen before and while this poses a significant challenge for global businesses such as ours to keep up with the laws, it also presents a great opportunity for you to be a part of a global data privacy team directly contributing to build the trust of our users, employees, and partners at Agoda.
• As a Data Privacy Analyst, you will support Agoda's Privacy Advisory function by helping the team provide timely, well-organized privacy legal advice across the business, while also keeping the engine room of the advisory practice running smoothly - from knowledge management to performance metrics. You will work closely with a world class privacy team comprising of subject matter experts, security professionals and technology teams in a global work environment.
• Conduct fact-finding for privacy advisory queries - gathering relevant business context, prior guidance and documentation to facilitate efficient legal assessment of requests.
• Provide support on privacy advisory matters, including drafting initial reviews and assessments under guidance.
• Support training and awareness initiatives and regulatory change management initiatives.
• Actively manage the privacy advisory repository from end-to-end.
• Establish, review & improve privacy policies, standards, and procedures.
• Identify & manage privacy risks associated with 3rd parties.
• Upkeep, maintain and improve privacy controls.
• Improve privacy team's efficiencies using data analytics (Metrics, Key Risk Indicators, Dashboards, Trend analysis).
• Provide project management support for specific privacy projects.
• A genuine interest in data privacy and/or technology law.
• 1-2 years' experience in Legal, Governance, Risk or Compliance disciplines.
• Excellent organizational skills and attention to detail.
• Great written and verbal communication skills.
• Well versed with MS Office suite.
• Willingness to go the extra mile to get the job done including routine and, administrative, tasks.
• Curiosity & willingness to explore privacy concepts and ask questions.
• Proficient in English.
• Basic understanding of privacy concepts or laws (GDPR, PDPA, etc).
• Experience with data/metrics tracking (Excel, dashboards, etc.).
• Prior exposure to legal document or template management.
• Ability to execute at pace and multi-task in an agile environment.
• A dynamic role in a fast-growing team of a reputable global company.
• Working in an international environment.
• Great opportunities for further development in data privacy, cybersecurity and artificial intelligence.
• Working in a team of flexibly minded and highly skilled professionals.
• Please review our Hiring Process Guidelines before your interview click.
• here.
• to learn how interviewing at Agoda works.
• Discover more about working at Agoda.
• Agoda Careers.
• https://careersatagoda.com.
• Facebook.
• https://www.facebook.com/agodacareers/.
• LinkedIn.
• https://www.linkedin.com/company/agoda.
• YouTube.
• https://www.youtube.com/agodalife.
• Equal Opportunity Employer.
• At Agoda, we pride ourselves on being a company represented by people of all different backgrounds and orientations. We prioritize attracting diverse talent and cultivating an inclusive environment that encourages collaboration and innovation. Employment at Agoda is based solely on a person's merit and qualifications. We are committed to providing equal employment opportunity regardless of sex, age, race, color, national origin, religion, marital status, pregnancy, sexual orientation, gender identity, disability, citizenship, veteran or military status, and other legally protected characteristics.
• We will keep your application on file so that we can consider you for future vacancies and you can always ask to have your details removed from the file. For more details please read our.
• privacy policy.
• Disclaimer.
• We do not accept any terms or conditions, nor do we recognize any agency's representation of a candidate, from unsolicited third-party or agency submissions. If we receive unsolicited or speculative CVs, we reserve the right to contact and hire the candidate directly without any obligation to pay a recruitment fee.

ทักษะ:

Big Data, Power BI, Python

ประเภทงาน:

งานประจำ

• Data Modeling & Machine Learning: พัฒนา ทดสอบ และนำ Machine Learning Models ไปใช้งานจริง (Production) เพื่อสนับสนุนการแก้ไขปัญหาและสร้างโอกาสทางธุรกิจ เช่น Sales Forecasting, Optimization, Fraud Detection และ Use Cases อื่น ๆ ที่เกี่ยวข้อง.
• Advanced Analytics: วิเคราะห์ข้อมูลโดยใช้เทคนิคทางสถิติขั้นสูงและ Algorithms เพื่อค้นหารูปแบบ (Patterns) ความสัมพันธ์ และข้อมูลเชิงลึกจากข้อมูลขนาดใหญ่ (Big Data) ตั้งแต่ขั้นตอน Data Exploration ไปจนถึง Advanced Analytics.
• Dashboard & Reporting: พัฒนา ดูแล และปรับปรุง Dashboard ด้วย Power BI เพื่อใช้ติดตาม ...
• Business Analysis: วิเคราะห์ข้อมูลเพื่อค้นหา Insights แนวโน้ม (Trends) โอกาสทางธุรกิจ และสาเหตุของปัญหา เพื่อสนับสนุนธุรกิจต่าง ๆ ภายใน BCP Group เช่น Marketing, Refinery, Solar, Biofuel และธุรกิจอื่น ๆ ที่เกี่ยวข้อง.
• Data Interpretation & Business Insights: แปลผลข้อมูลและผลการวิเคราะห์ให้เป็นข้อเสนอแนะที่สามารถนำไปปฏิบัติได้ (Actionable Insights) เพื่อเพิ่มรายได้ ลดต้นทุน หรือเพิ่มประสิทธิภาพในการดำเนินงานของธุรกิจ เช่น โรงกลั่นน้ำมัน สถานีบริการ และธุรกิจอื่น ๆ.
• Insight Communication: จัดทำ Data Visualization และนำเสนอผลการวิเคราะห์ที่ซับซ้อนให้อยู่ในรูปแบบที่เข้าใจง่าย สามารถสื่อสารกับผู้บริหารและหน่วยงานธุรกิจได้อย่างมีประสิทธิภาพ โดยสามารถใช้ Power BI ในการนำเสนอข้อมูลได้เป็นอย่างดี.
• Business Value Delivery: สามารถเชื่อมโยงผลงานด้าน Data & Analytics ให้เกิด Business Value ที่วัดผลได้ และรับผิดชอบ KPI ที่เกี่ยวข้องกับคุณค่าทางธุรกิจ เช่น Revenue Enhancement, Cost Saving, Productivity Improvement หรือ Efficiency Improvement.
• ปริญญาตรี/โท สาขาวิทยาการคอมพิวเตอร์, สถิติ, คณิตศาสตร์, วิศวกรรมศาสตร์ หรือสาขาที่เกี่ยวข้อง.
• ประสบการณ์ทำงานด้าน Data Analytics/Business Intelligence 1-3 ปี.
• ทักษะการเขียนโปรแกรม Python (Pandas, NumPy, Scikit-learn, TensorFlow/PyTorch) อย่างดี.
• เชี่ยวชาญการใช้ SQL สำหรับดึงข้อมูลในระดับสูง.
• ทักษะในการใช้เครื่องมือ Visualization (Power BI).
• มีความเข้าใจบริบททางธุรกิจ (Business Acumen) และสามารถสื่อสารข้อมูลที่ซับซ้อนได้ดี.
• พฤติกรรมและคุณลักษณะที่คาดหวัง (Behavioral Competencies).
• Collaboration & Teamwork: มีทัศนคติในการทำงานเป็นทีม พร้อมให้ความร่วมมือและสนับสนุนเพื่อนร่วมงานเพื่อให้ทีมสามารถบรรลุเป้าหมายร่วมกัน.
• Business Mindset: สามารถมองงานด้าน Data & Analytics ในมุมมองของธุรกิจ และมุ่งเน้นการสร้างผลลัพธ์ที่สามารถนำไปใช้ประโยชน์และสร้างคุณค่าให้กับองค์กรได้จริง.
• Problem Solving: มีความสามารถในการวิเคราะห์ปัญหาอย่างเป็นระบบ สามารถค้นหาสาเหตุและนำข้อมูลมาใช้ในการพัฒนาแนวทางแก้ไขที่เหมาะสม.
• Communication: สามารถสื่อสารข้อมูลเชิงเทคนิคและผลการวิเคราะห์ให้ผู้ที่ไม่มีพื้นฐานด้าน Data เข้าใจได้อย่างชัดเจน.
• Ownership & Flexibility: มีความรับผิดชอบต่องาน มีความยืดหยุ่น และพร้อมสนับสนุนงานในช่วงเวลาที่จำเป็นเพื่อให้งานหรือโครงการสามารถดำเนินการได้ตามเป้าหมาย.
• ลักษณะและเงื่อนไขการทำงาน (Working Conditions).
• สามารถปฏิบัติงานประจำสำนักงานตามเวลาทำงานของบริษัท 5 วันต่อสัปดาห์.
• สามารถสนับสนุนงานด้าน Data Preparation, Data Loading, Data Cleansing หรือการนำระบบขึ้น Production นอกเวลาทำงานปกติหรือในวันหยุดได้เป็นครั้งคราว ตามความจำเป็นของโครงการ.