เงื่อนไขการค้นหา

ประเภทงาน:

งานประจำ

• Use feedback and reflection to develop self awareness, personal strengths and address development areas.
• Delegate to others to provide stretch opportunities, coaching them to deliver results.
• Demonstrate critical thinking and the ability to bring order to unstructured problems.
• Use a broad range of tools and techniques to extract insights from current industry or sector trends.
• Review your work and that of others for quality, accuracy and relevance.
• Know how and when to use tools available for a given situation and can explain the reasons for this choice.
• Seek and embrace opportunities which give exposure to different situations, environments and perspectives.
• Use straightforward communication, in a structured way, when influencing and connecting with others.
• Able to read situations and modify behavior to build quality relationships.
• Uphold the firm's code of ethics and business conduct.
• Education (if blank, degree and/or field of study not specified).
• Degrees/Field of Study required: Degrees/Field of Study preferred:Certifications (if blank, certifications not specified).
• Required Skills.
• Optional Skills.
• Desired Languages (If blank, desired languages not specified).
• Travel Requirements.
• Not Specified
• Available for Work Visa Sponsorship?.
• No
• Government Clearance Required?.
• No
• Job Posting End Date.

ประสบการณ์:

ไม่จำเป็นต้องมีประสบการณ์ทำงาน

ทักษะ:

Data Entry, English, Thai

ประเภทงาน:

งานพาร์ทไทม์

• ต้อนรับและช่วยบริการลูกค้า.
• จัดเรียงและเติมสินค้า เช็คสินค้า ตามที่ได้รับมอบหมาย.
• ดูแลสต๊อกสินค้า.
• ทำ Invoice ลูกค้าซื้อของ.
• มีความละเอียดรอบคอบ และรวดเร็วในการลงข้อมูล และถูกต้อง.
• งานอื่น ๆ เกี่ยวกับข้อมูลสินค้าที่ได้รับมอบหมาย..
• เพศหญิง อายุ 18 - 25 ปี.
• วุฒิปวช/ปวส ขึ้นไป หรือกำลังศึกษาอยู่ในระดับปริญญาตรี ไม่จำกัดสาขา.
• บุคลิกภาพดี มีความขยันอดทน กระตือรือร้น มีใจรักงานบริการ และสามารถทำงานร่วมกับผู้อื่นได้.
• มีทักษะการสื่อสารภาษาอังกฤษเบื้องต้นได้.
• มีความระเอียดรอบคอบในการลง Invoice และลงข้อมูลสินค้า พิมพ์สัมผัสได้ และใช้คอมพิวเตอร์ได้คล่อง.
• สุภาพอ่อนน้อม ขยัน ฉลาดเรียนรู้ พร้อมเรียนรู้งาน.
• มีความตรงต่อเวลา.

ทักษะ:

Data Analysis, Big Data, Oracle, English

ประเภทงาน:

งานประจำ

• Perform an IT audit and testing ITGC (Information Technology General Computer Control), Data Analysis and utilize technology effectively.
• Take part of integrated audit by performing test of IT dependency controls e.g., automated application control, IT dependent report, system access and authorization control.
• Analyze and solve problems especially big data analysis.
• Assess and giving advice on IT/network security architecture design.
• Assess risk related to information and cybersecurity and evaluate effectiveness of internal controls based on industrial-accepted standard e.g., Information Security Management System (ISMS).
• Assess and giving advice on security technology and security-related configuration e.g., firewall, IDS/IPS, Content filtering, Network routing equipment, Wifi controller, Network access Control, etc.
• Provide overall co-ordination of the audit planning for the areas/ programs under his/her supervision, and supervise the follow up process of subordinates to ensure timely dispatch of audit reports to auditee and obtaining reply from auditee on the implementation status of recommendations.
• Delegate, allocate and assign resources to carry out the audit work, and advise, supervise, and oversee the audit activities carried out by the IA as per the Annual Audit Plan.
• Discuss with GCAE for major risk or audit findings identified during audit.
• Oversee the follow up process of the Senior Internal Auditor to ensure timely dispatch of audit reports to auditee and obtaining reply from auditee on the implementation status of recommendations.
• Review and discuss on the reply received from auditee for any disputes or disagreement.
• To ensure that audit engagements are conducted in accordance with the audit work program and objectives of the audit have been achieved.
• Carry out special / investigation audit assigned by GCAE.
• Participate in the Exit meeting with auditee s management to discuss on the audit findings identified during audit.
• Bachelor's degree preferably in IT, Computer Science or Engineering, Statistic.
• Having 3-5 years of experience in Professional IT Auditor or an equivalent function or experience in auditing firms or as internal auditor more than 7 years.
• Preferably proficient in Oracle or any other related Accounting System. Working knowledge in IT Auditor; highly proficient with ERP configurations e.g., SAP and Oracle. Ability to apply best practices of one ERP system in other ERP systems.
• Able to work to upcountry or overseas.
• Preferably a CISA.
• Excellent communication skills in both oral and written English.
• Able to appreciate business process issues and understand business transaction scenarios, and how an application system (e.g., SAP, Oracle, etc.) can support them.
• Basic understanding of ERP configurations e.g., SAP, Oracle. Ability to apply best practices of one ERP system in other ERP systems.
• Resourceful and able to work out technical solutions.
• Good appreciation of fundamental accounting knowledge and/or audit knowledge and financial controls.
• Good grasp of IT technical concepts, e.g., Operating Systems (Unix, Windows, etc), Databases (Oracle, SQL, etc.).
• Able to handle multiple tasks and assignments.
• Logical thinking, good attitude, fast learner and good team player.
• Working independently without closely supervisor.
• Ability to persuade and influence others, to motivate others and promote teamwork and mentor any others, and to provide effective feedback.
• Certification/Licensure Certified Information System Auditor (CISA), (Preferred).
• Lotus's
• Ek-Chai Distribution System Co., Ltd.
• Buengkum, Bangkok 10230, Thailand.
• By applying for this position, you consent to the collection, use and disclosure of your personal data to us, our recruitment firms and all relevant third parties for the purpose of processing your application for this job position (or any other suitable positions within Lotus's and its subsidiaries, if any). You understand and acknowledge that your personal data will be processed in accordance with the law and our policy. .

ทักษะ:

Industrial Engineering, Finance, Project Management

ประเภทงาน:

งานประจำ

• Work closely with senior management team to develop initiatives on operations efficiency through innovation, process improvement and retail productivity.
• Apply deep knowledge of trend, financial data, process standard and translate into actionable insight.
• Plan and develop report / presentation to support project for trial and roll out.
• Lead, collaborate and facilitate stakeholders across the business to ensure joined up approach and achieve targets together with process and budget owners.
• Track and updated project process on a regular basis, ensure the project is able to achieve milestone. Including develop mitigation plan for any critical issues occurred.
• Track/create business metrics & Key Performance Indicators (KPIs) dashboard.
• Support initiatives for data integrity and create best practice reports based on data mining, analysis and visualization.
• Train end users on new reports and dashboards to continually drive efficiencies.
• Ability to present information to stakeholders and provide initial consultation / solution.
• 2-5 years+ working experience in Data Analytics, Process Improvement.
• Degree in Industrial Engineering, Supply Chain, Finance, IT or related field.
• Knowledge of basic statistical techniques for hypothesis testing or prediction (Correlation, Regression, etc.).
• Skilled in process improvement, project management, and data analysis.
• Ability to use data and metrics to test theories, back up assumptions, develop business cases, complete root cause analysis and measure success.
• Ability to work independently and under pressure with business-partnering mindset.
• Good presentation, communication and influencing skills.
• Six Sigma Green Belt certification preferred.
• Lotus's
• Ek-Chai Distribution System Co., Ltd.
• Buengkum, Bangkok 10230, Thailand
• By applying for this position, you consent to the collection, use and disclosure of your personal data to us, our recruitment firms and all relevant third parties for the purpose of processing your application for this job position (or any other suitable positions within Lotus's and its subsidiaries, if any). You understand and acknowledge that your personal data will be processed in accordance with the law and our policy. .

ประเภทงาน:

งานประจำ

• About the Department.
• Job Responsibilities.
• UOB is an equal opportunity employer. UOB does not discriminate on the basis of a candidate's age, race, gender, color, religion, sexual orientation, physical or mental disability, or other non-merit factors. All employment decisions at UOB are based on business needs, job requirements and qualifications. If you require any assistance or accommodations to be made for the recruitment process, please inform us when you ...
• Apply now and make a difference.
• Competencies.
• Strategise.
• Engage.
• Execute.
• Develop.
• Skills.
• Experience.

ทักษะ:

Research

ประเภทงาน:

งานประจำ

• Work with management to prioritize business strategies and information needs.
• Design analysis report to track and monitor performance and validate Accuracy of Data.
• Provide sales, marketing, product, and customer analysis toward marketing calendar / business situation / campaign performance in various business measurements combining with consumers research for supporting business strategy.
• Understand, interpret data and provide business insight in order to support management to develop strategy / plan to support new business opportunity.
• Identifies data patterns & trends, and provides insights to enhance business decision making capability in business planning, process improvement, solution assessment etc.
• Recommends actions for future developments & strategic business opportunities, as well as enhancements to operational policies.
• Translate data into consumer or customer behavioral insights to drive targeting and segmentation strategies, and communicate clearly and effectively to business partners and senior leaders all findings.
• Continuously improve processes and strategies by exploring and evaluating new data sources, tools, and capabilities.
• Leverage analytics and data science teams for actionable insights, algorithms, test designs and model validation.
• Present insights to executive leaders/ business partners to drive strategic improvement and support key business decisions.
• Educate cross-functional parties and build awareness on how to interpret the data and analytics to drive decision making that will move the business forward.

ทักษะ:

ETL, SQL, Hadoop

ประเภทงาน:

งานประจำ

• Conduct meeting with users to understand the data requirements and perform database design based on data understanding and requirements with consideration for performance.
• Maintain data dictionary, relationship and its interpretation.
• Analyze problem and find resolution, as well as work closely with administrators to monitor performance and advise any necessary infrastructure changes.
• Work with business domain experts, data scientists and application developers to identify data that is relevant for analysis.
• Develop big data solutions for batch processing and near real-time streaming.
• Own end-to-end data ETL/ELT process framework from Data Source to Data warehouse.
• Select and integrate appropriate tools and frameworks required to provide requested capabilities.
• Design and develop BI solutions.
• Hands-on development mentality, with a willingness to troubleshoot and solve complex problems.
• Keep abreast of new developments in the big data ecosystem and learn new technologies.
• Ability to effectively work independently and handle multiple priorities.
• Bachelor degree or higher in Computer Science, Computer Engineering, Information Technology, Management Information System or an IT related field.
• 3+ year's experience in Data Management or Data Engineer (Retail or E-Commerce business is preferable).
• Expert experience in query language (SQL), Databrick SQL, PostgreSQL.
• Experience in BigData Technologies like Hadoop, Apache Spark, Databrick.
• Experience in Python is a must.
• Knowledge in machine/statistical learning, data mining is a plus.
• Experience in Generative AI is a plus.
• Strong analytical, problem solving, communication and interpersonal skills.
• Having good attitude toward team working and willing to work hard.
• Lotus's
• Ek-Chai Distribution System Co., Ltd.
• Buengkum, Bangkok 10230, Thailand.
• By applying for this position, you consent to the collection, use and disclosure of your personal data to us, our recruitment firms and all relevant third parties for the purpose of processing your application for this job position (or any other suitable positions within Lotus's and its subsidiaries, if any). You understand and acknowledge that your personal data will be processed in accordance with the law and our policy.".

ทักษะ:

Data Analysis, ETL, Data Warehousing

ประเภทงาน:

งานประจำ

• Data Architecture: Design, develop, and maintain the overall data architecture and data pipeline systems to ensure efficient data flow and accessibility for analytical purposes.
• Data Integration: Integrate data from multiple sources, including point-of-sale systems, customer databases, e-commerce platforms, supply chain systems, and other relevant data sources, ensuring data quality and consistency.
• Data Modeling: Design and implement data models that are optimized for scalability, ...
• Data Transformation and ETL: Develop and maintain efficient Extract, Transform, and Load (ETL) processes to transform raw data into a structured format suitable for analysis and reporting.
• Data Warehousing: Build and maintain data warehouses or data marts that enable efficient storage and retrieval of structured and unstructured data for reporting and analytics purposes.
• Data Governance and Security: Establish and enforce data governance policies and procedures, including data privacy and security measures, to ensure compliance with industry regulations and protect sensitive data.
• Data Quality and Monitoring: Implement data quality checks and monitoring mechanisms to identify and resolve data inconsistencies, anomalies, and issues in a timely manner.
• Collaboration: Collaborate with cross-functional teams, including data scientists, business analysts, and software engineers, to understand their data needs, provide data solutions, and support their analytical initiatives.
• Performance Optimization: Optimize data processing and query performance to ensure efficient data retrieval and analysis, considering factors such as data volume, velocity, and variety.
• Documentation: Maintain documentation of data processes, data flows, data models, and system configurations, ensuring accuracy and accessibility for future reference.
• Bachelor's or master's degree in computer science, information systems, or a related field.
• Strong programming skills in languages such as Python, SQL. C++ is plus.
• At least 3 year experience with data modeling, database design, and data warehousing concepts.
• Proficiency in working with relational databases (e.g., MySQL, PostgreSQL) and big data technologies (e.g., Hadoop, Spark, Hive).
• Familiarity with cloud-based data platforms, such as AWS.
• Knowledge of ETL tools and techniques for data integration and transformation.
• Understanding of data governance, data security, and regulatory compliance requirements.
• Excellent problem-solving skills and attention to detail.
• Strong communication and interpersonal skills to collaborate effectively with cross-functional teams.
• Ability to work in a fast-paced environment and handle multiple projects simultaneously.
• Location: BTS Ekkamai
• Working Day: Mon-Fri (WFA Every Friday).

ทักษะ:

Statistics, Salesforce

ประเภทงาน:

งานประจำ

• จำลองข้อมูลเพื่อแบ่งกลุ่มลูกค้าและเพื่อให้เข้าใจข้อมูลพฤติกรรมเชิงลึกของลูกค้า.
• วิเคราะห์พฤติกรรมผู้บริโภค แทรนด์การตลาด จากข้อมูลภายในและจากคู่แข่ง.
• จัดทำรายงาน (Routine Report) พร้อมทั้งบทวิเคราะห์ เพื่อพัฒนายอดขายและเพื่อให้สามารถบริหารจัดการแคมเปญได้อย่างมีประสิทธิภาพ.
• ประสานงานกับคู่ค้า (Brand Partner) เพื่อสร้าง Partnership Campaign.
• วางแผนและประสานงานกับทุกฝ่ายที่เกี่ยวข้อง ทั้งในและนอกทีม เพื่อให้แคมเปญสำเร็จและเป็นไปตามเป้าหมาย.
• พัฒนาและสำรวจความพึงพอใจของผู้บริโภคให้อยู่ในระดับที่ดีเยี่ยม.
• วุฒิการศึกษาระดับปริญญาตรี / โท BBA, MIS, Data Science, Statistics, Mathematics, Computer Science หรือสาขาอื่นๆที่เกี่ยวข้อง.
• มีประสบการณ์ที่เกี่ยวข้อง 1-3 ปี.
• ชอบเรียนรู้ มีความคิดสร้างสรรค์ ชอบการวิเคราะห์ข้อมูล.
• มีความขยัน มุ่งมั่น กระตือรือร้น มีความรับผิดชอบ.
• มีทัศนคติเชิงบวก และยอมรับฟังความคิดเห็น.
• สามารถทำงานเป็นทีมได้ มีทักษะสื่อสารที่ดี.
• มีความอดทน สามารถทำงานภายใต้ความกดดันได้.
• มีความละเอียดรอบคอบ.
• หากมีประสบการณ์ในการใช้โปรแกรม Salesforce หรือ ระบบอื่นที่คล้ายคลึงกัน การจัดการข้อมูลปริมาณมากจะได้รับการพิจารณาเป็นพิเศษ.

ประสบการณ์:

5 ปีขึ้นไป

ประเภทงาน:

งานประจำ

• Make an impact with a purpose-driven industry leader. Join us today and experience Life at Visa.
• Job DescriptionConducting transaction data analysis with Hadoop Cloud and big data technologies for internal and external clients and stakeholders, and develop deeper insights into the products using advanced statistical methods.
• Creating user-friendly dashboards and presentations.
• Building predictive models using advanced machine learning techniques interpret and present modeling and analytical results to non-technical audience.
• Executing on the analytic plan with appropriate data mining and analytic techniques.
• Performing QA on data and deliverables by analysts and own deliverables.
• Ensuring all project documentation is up to date and all projects are reviewed per analytic plan.
• Ensuring project delivery within timelines.
• Continually look at the environment to challenge our assumptions around new sources of data, potential analytics partners, tools, talent and infrastructure.
• Explore leading methodologies and best practices to other teams and importing successful methodologies from other international markets.
• This is a hybrid position. Hybrid employees can alternate time between both remote and office. Employees in hybrid roles are expected to work from the office 2-3 set days a week (determined by leadership/site), with a general guidepost of being in the office 50% or more of the time based on business needs.
• QualificationsBachelors degree in Economics, Finance, Computer Science, Statistics, or related quantitative field.
• 5+ years of experience in performing data exploration and feature engineering and ML models.
• Additional InformationVisa is an EEO Employer. Qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, sexual orientation, gender identity, disability or protected veteran status. Visa will also consider for employment qualified applicants with criminal histories in a manner consistent with EEOC guidelines and applicable local law.

ประสบการณ์:

4 ปีขึ้นไป

ทักษะ:

Python, C++

ประเภทงาน:

งานประจำ

• รวบรวมข้อมูลจากแหล่งต่างๆ (Data Collection) และจัดเตรียมข้อมูล.
• วิเคราะห์ข้อมูลและประมวลผลข้อมูลตาม Data Model.
• จัดทำ Visualization แสดงผลของข้อมูล เพื่อนำเสนอสารสนเทศที่สังเคราะห์ได้จากข้อมูล Big Data.
• พัฒนา Data Scince Modle เขียนโปรแกรมเพื่อประมวลผลข้อมูลโดยอัตโนมัติและเชื่อมต่อกับส่วนประกอบอื่นๆ.
• ทดสอบการทำงานของโปรแกรม.
• ประชุมเก็บรวบรวม Business requirement, Process จาก User.
• ปฎิบัติงานอื่นๆ ตามที่ได้รับมอบหมายจากผู้บังคับบัญชา.
• วุฒิการศึกษา ปริญญาตรี หรือ ปริญญาโท.
• จบคณะวิทยาศาสตร์ สาขาคอมพิวเตอร์ หรือที่เกี่ยวข้อง.
• มีประสบการณ์ทำงานอย่างน้อย 2 ปี ในตำแหน่ง System Analyst & design หรือที่เกี่ยวข้อง.
• สามารถวิเคราะห์ระบบตามที่บริษัทกำหนดได้.
• สามารถออกแบบระบบได้.
• มีความรู้ใน Oracle หรือ Microsoft SQL.
• มีความรู้ด้าน Object Oriented Programming เป็นอย่างดี.
• พัฒนาโปรแกรมแบบ Model View Control ได้.

ทักษะ:

Compliance, Industry trends, Power BI

ประเภทงาน:

งานประจำ

• Lead the management and maintenance of employee data across the company and group companies, ensuring data accuracy, security, and compliance.
• Develop and implement BI (Business Intelligence) strategies to enhance data-driven decision-making processes in HR.
• Design, develop, and maintain interactive dashboards and reports to provide real-time insights into HR metrics and trends.
• Conduct in-depth analysis of HR data to identify patterns, trends, and insights that inform strategic decisions and initiatives.
• Oversee the creation and management of HR datamarts, ensuring data is structured and accessible for analysis and reporting.
• Collaborate with HR and business leaders to understand data requirements and deliver actionable insights that drive HR and business outcomes.
• Stay abreast of industry trends and advancements in HR analytics and data management, incorporating best practices into our operations.
• If you meet below qualifications and are ready to take on a challenging role, we encourage you to apply.
• Bachelor's or Master's degree in Human Resources, Business Analytics, Data Science, or a related field.
• Direct experience in HR data management, analytics, or a related field, with a proven track record of success.
• Strong proficiency in BI tools (e.g., Power BI, Tableau) and data visualization techniques.
• Expertise in data management, including experience with datamarts, databases, and data warehousing.
• Excellent analytical skills, with the ability to translate complex data sets into clear and actionable insights.
• Strong communication and interpersonal skills, with the ability to present data-driven insights to non-technical audiences.
• Experience in project management and cross-functional collaboration.
• About Us.
• SCBX is the mothership of the financial technology business group, comprising 12 subsidiary companies that operate across three key business pillars: Banking Business, Consumer and Digital Finance Business, and Platform and Technology Business. In addition, SCBX also focuses on Climate Technology, aspiring to become The Most Admired Regional Financial Technology Group .
• The company conducts its business with flexibility and prudence in governance and risk management and has possesses the potential to compete equally in global competitions.

ประสบการณ์:

5 ปีขึ้นไป

ทักษะ:

SAS, SQL

ประเภทงาน:

งานประจำ

• ออกแบบ / สร้าง / ดูแล คลังข้อมูลที่เกี่ยวข้องกับงานด้าน Business Intelligence และ Retail Products and Performance บนระบบของธนาคารและบนระบบของผู้ให้บริการ Cloud.
• ออกแบบ / สร้าง / ดูแล เส้นทางการไหลของข้อมูลเพื่อสนับสนุนการวิเคราะห์ทางธุรกิจที่เกี่ยวข้องกับงานด้าน Business Intelligence และ Performance and Profitability.
• สนับสนุนด้านข้อมูลให้กับทีมงานด้าน Business Intelligence เพื่อใช้ในการวิเคราะห์ทางธุรกิจ และการสร้าง Operating Dashboard รวมไปถึงการสร้าง Data Mart ต่างๆ เพื่อใช้ในการบริหารจัดการ Business Performance ในด้านต่างๆ ให้เกิดประโยชน์สูงสุดต่อธนาคาร.
• สนับสนุนด้านข้อมูลเพื่อใช้ในการสร้าง Digital Lending Models and Platforms.
• วุฒิการศึกษาระดับปริญญาตรีขึ้นไป ด้านวิศวกรรมศาสตร์ วิทยาศาสตร์คอมพิวเตอร์ บริหารธุรกิจ เทคโนโลยีสารสนเทศ หรือสาขาวิชาที่เกี่ยวข้อง.
• มีประสบการณ์เกี่ยวกับงานด้านนวัตกรรมข้อมูล หรืองานอื่นๆ ที่เกี่ยวข้องไม่น้อยกว่า 5 ปี.
• มีประสบการณ์ในการพัฒนาคลังข้อมูลเฉพาะด้าน (Data Marts) ที่เกี่ยวกับข้อมูลลูกค้า ข้อมูลความเสี่ยง ข้อมูลการตลาด หรือข้อมูลทางการเงินอื่นๆ ที่เกี่ยวข้อง หรือการออกแบบโมเดลข้อมูล (Data Model) การจัดการโครงการพัฒนาระบบ.
• มีทักษะในการใช้โปรแกรมคอมพิวเตอร์ SAS, SAS Enterprise Guide, SAS Enterprise Miner and SQL.
• มีความรู้ด้าน Information Management / Business Analytics หรือมีประสบการณ์ในงานที่เกี่ยวข้องไม่น้อยกว่า 5 ปี.
• มีความรู้ในเทคโนโลยีที่หลากหลายในการพัฒนาระบบต่างๆ หรือมีประสบการณ์ด้านการบริหารระบบงานอย่างน้อย 5 ปี.
• มีความรู้ด้านธุรกิจของระบบงานที่เกี่ยวข้อง รวมถึงนโยบายของธนาคารในภาพรวมและนำมาออกแบบระบบงานและโครงสร้างพื้นฐานด้านเทคโนโลยีได้อย่างเหมาะสม.
• มีความรู้ความเข้าใจธุรกิจธนาคารในภาพรวม ผลิตภัณฑ์และบริการ รวมถึงมีความรู้ด้านการตลาดและการบริหารจัดการความเสี่ยงที่อยู่ในความรับผิดชอบ.
• มีความสามารถในการใช้ภาษาอังกฤษได้ในระดับดี.
• ผู้สมัครสามารถอ่านและศึกษานโยบายความเป็นส่วนตัวของธนาคารกรุงไทย จำกัด (มหาชน) ที่ https://krungthai.com/th/content/privacy-policy ทั้งนี้ธนาคารไม่มีเจตนาหรือความจำเป็นใดๆ ที่จะประมวลผลข้อมูลส่วนบุคคลที่มีความอ่อนไหว รวมถึงข้อมูลที่เกี่ยวข้องศาสนาและ/หรือกรุ๊ปเลือด ซึ่งอาจปรากฏอยู่ในสำเนาบัตรประจำตัวประชาชนของข้าพเจ้าแต่อย่างใด ดังนั้น กรุณาอย่าอัปโหลดเอกสารใดๆ รวมถึงสำเนาบัตรประจำตัวประชาชน หรือกรอกข้อมูลส่วนบุคคลที่มีความอ่อนไหวหรือข้อมูลอื่นใด ซึ่งไม่เกี่ยวข้องหรือไม่จำเป็นสำหรับวัตถุประสงค์ในการสมัครงานไว้บนเว็บไซต์ นอกจากนี้ กรุณาดำเนินการให้แน่ใจว่าได้ดำเนินการลบข้อมูลส่วนบุคคลที่มีความอ่อนไหว (ถ้ามี) ออกจากเรซูเม่และเอกสารอื่นใดก่อนที่จะอัปโหลดเอกสารดังกล่าวไว้บนเว็บไซต์แล้วด้วย".

ประสบการณ์:

7 ปีขึ้นไป

ทักษะ:

Statistics, Research, SAS

ประเภทงาน:

งานประจำ

• Leading, executing, and delivering data science projects for clients in Thailand.
• Developing detailed project scopes and methodologies, designing, and implementing solutions using appropriate tools and techniques.
• Building strong relationships with Visa partners, clients, and corresponding data science & analytics teams, driving collaboration, and ensuring the implementation of Visa's recommendations.
• Maintaining quality control and up-to-date documentation for all data science projects.
• Innovating by utilizing Visa's data, client data, and non-traditional data sources to meet client needs.
• Enhancing existing data science and analytic techniques by promoting new methodologies and best practices.
• Fostering thought leadership in the data science domain and building intellectual property through innovation.
• Managing communication with clients and stakeholders effectively.
• Mentoring, guiding, and supervising data scientists in the project team.
• Delivering analytics projects from inception to completion, providing actionable insights and recommendations.
• Identifying opportunities for innovation using non-traditional data and new modeling techniques.
• Managing internal and external stakeholders.
• Supervising data scientists reporting to this role.
• Developing data-driven solutions using Visa data.
• Building data science visualization capabilities to address client problems.
• Driving innovation using data science techniques.
• Advocating for data science within partner organizations, advising and coaching analytical teams, and sharing best practices and case studies.
• Continually assessing the environment to challenge assumptions about data sources, potential analytics partners, tools, talent, and infrastructure.
• Exploring and adopting leading methodologies and best practices from other international markets.
• This is an individual contributor role.
• We are looking for a motivated, analytical minded individual with a track record of using data science and analytics expertise to unlock business value. A successful candidate should have accumulated a variety of industry experience, be curious about payments industry and application of data analytics, should be results-driven and client-centric.Degree (master's or Ph.D. would be an advantage) in Quantitative field such as Statistics, Mathematics, Operational Research, Computer Science, Economics, or engineering or equivalent experience.
• 7+ years of experience in performing data exploration and feature engineering.
• 8 -10 years of professional work experience in banking, payments, or related industry.
• Hands on experience with data analytics/programming tools such as SAS/Salford SPM/Hadoop/R/SQL/Python/Hive, and a working knowledge of Hadoop ecosystem.
• Proficiency in statistical techniques: Neural Networks, Gradient Boosting, Linear & Logistic Regression, Decision Trees, Random Forests, Markov Chains, Support Vector Machines, Clustering, Principal Component Analysis, Factor analysis, etc.
• Demonstrated experience in planning, organizing, and managing multiple and concurrent analytics projects with diverse cross-functional stakeholders.
• Strong internal team and external client stakeholder management with a collaborative, diplomatic, and flexible style, able to work effectively in a matrixed organization.
• Excellent presentation and storytelling skills, including strong oral and written capabilities.
• Storyboarding and data storytelling including strong Excel and PowerPoint skills.
• In market experience and/or knowledge of local language, culture as well as industry regulations.
• Additional InformationVisa is an EEO Employer. Qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, sexual orientation, gender identity, disability or protected veteran status. Visa will also consider for employment qualified applicants with criminal histories in a manner consistent with EEOC guidelines and applicable local law.

ประสบการณ์:

ไม่จำเป็นต้องมีประสบการณ์ทำงาน

ทักษะ:

Database Administration, Python, Analytical Thinking, Good Communication Skills, English

ประเภทงาน:

งานประจำ

• Lead and perform end-to-end large-scaled data discovery (e.g., data acquisition, data cleansing, data modelling) together with developing effective algorithms to provide actionable insights leading to business improvement (e.g., operation improvement, value-added services, growth of revenue).
• Conduct and run data experiment to prototype new data innovation ideas, explore a variety of approaches and refine promising ideas into product ready model or new model.
• Manage (prioritize) and support requests on data analysis and data analytic assignments from business units to identify actionable insights and make recommendations for strategic decision making.
• Communicate findings and build buy-in with key stakeholders through business insights finding, data prototyping or innovation demonstration.
• Coach junior data scientists/ data analyst on technical knowledge. Maintain knowledge of data science trends and regularly share knowledge with the team.
• Collaborate with partners to scale data innovations to make business impact.
• Bachelor or Master Degree in Quantitative fields (e.g., Math, Statistics, Engineering, Statistics, Computer Science, Operational Research) or Equivalent industry experience.
• Over 2 years of professional experience in data analytics, data science or data engineering. Proven track records to leveraging data analytics/data science to create business impact.
• Having experience in data science & analytics, data visualization, data architecture, or data engineering, Programming language (Python, R or Matlab), SQL/ NoSQL, Tableau.
• Good at English language.

ประเภทงาน:

งานประจำ

• Internal Firm Services
• Industry/Sector.
• Not Applicable
• Specialism.
• IFS - Internal Firm Services - Other
• Management Level.
• Associate
• A career in our Cybersecurity, Privacy and Forensics will provide you the opportunity to solve our clients most critical business and data protection related challenges. You will be part of a growing team driving strategic programs, data analytics, innovation, deals, cyber resilency, response, and technical implementation activities. You will have access to not only the top Cybersecurity, Privacy and Forensics professionals at PwC, but at our clients and industry analysts across the globe.
• Our Data Protection team focuses on helping our clients implement an effective data protection programme that protects against threats, propels data-driven transformation, and drives growth. As companies pivot toward a digital business model, exponentially more data is generated and shared among organisations, partners and customers. You'll play an integral role in helping our clients ensure they are mitigating risk by developing transformation strategies focused on data security, including efficiently integrating and managing new or existing data protection technology across their sensitive data landscape.
• Our team helps organisations safeguard critical assets by identifying, prioritising, and protecting sensitive or high value business assets. In joining, you'll focus on assessing, designing, and implementing data protection capabilities including data classification, encryption, de-identification, and sensitive data monitoring technologies to support a a data protection vision for our clients that can be integrated into their broader ERM, cybersecurity & regulatory framework.Job description
• Act as the primary point of contact within the organisation for members of staff, regulators and any relevant public bodies on issues related to data protection
• Ensure the company's policies are in accordance with the General Data Protection Regulation (GDPR), Personal Data Protection Act (PDPA) and codes of practice
• Give advice and recommendations to the company about interpreting and applying data protection rules
• Raise awareness and provide staff training for any employees involved with processing activities
• Maintain records of processing operations
• Handle complaints and requests by institutions, the data controller and data subjects
• Cooperate with the supervisory authority and liaise with internal stakeholders
• Job qualifications.
• Experience working in data protection compliance or a related field, with real PDPA implementation experience a plus
• Expertise in data protection laws and practices, including an in-depth understanding of the GDPR and PDPA
• Experience within a legal, audit, risk, IT or operations function
• Ability to work well under pressure and manage sensitive and confidential information
• Excellent verbal and written communication skills with strong attention to detail
• Great interpersonal skills and the ability to work well both independently and as part of a team.
• Education (if blank, degree and/or field of study not specified).
• Degrees/Field of Study required: Degrees/Field of Study preferred:Certifications (if blank, certifications not specified).
• Required Skills.
• Optional Skills.
• Desired Languages (If blank, desired languages not specified).
• Travel Requirements.
• 0%
• Available for Work Visa Sponsorship?.
• No
• Government Clearance Required?.
• No
• Job Posting End Date.

ประสบการณ์:

ไม่จำเป็นต้องมีประสบการณ์ทำงาน

ประเภทงาน:

งานประจำ

• Location: ZTE Office, Empire Tower.
• Level: Senior - Expert.
• Key Performance Indicators:
• Lead Pre-Sales for Pan-Net Cloud IaaS and PaaS offerings.
• Design the Commercial and Technical solutions based on customers needs.
• Overall responsibility: position will be located in Slovakia but will be responsible for pre-sales and sales on international level (primarily in Europe).
• Identify target customers and sales opportunities with the clients, engage with prospects to understand their business and technical challenges and map them to DT PN products and solutions.
• Translate Pan-Nets cloud and IaaS solutions and service offerings into meaningful business opportunities for the customers.
• Consult customers on how to transform their current workloads to the cloud using pan-net. cloud products.
• Create customer technical documentation and presentations that define the solution, develop sales documentation.
• Educate the customer and internal stakeholders on cloud native principles. Engage as subject matter expert on IaaS/PaaS solutions.
• Work closely with the sales team as well as other business partners in articulating solutions to customer.
• Gather technical requirements, develop cost effective design and solutions, and present to customers. Engage with solution teams, product managers and other functional teams in the company to deliver the best experience to the customer.
• Lead customer facing presentations, solution envisioning, and proof of concepts.
• Give product demonstrations and prepare compelling proposals to convey value proposition to customers. Identify and resolve technical questions.
• Lead and response to RFI, RFP, RFQ, RFx and proposal developments, close deals and manage contract negotiations.
• Promote the products and soulution at industry events, customer events and other venues.
• Education: University degree Master in computer science, telecommunications, economics or related fields.
• Professional knowledge, skills, know-how in the field & experience in the field:
• More than 5 years experience in field of activity.
• Hands-on experience with one or multiple public cloud offerings (AWS; GC, Azure).
• Practical experience in cloud adoption and cloud transformation.
• Ability to conduct live cloud product demonstration for customers.
• Experience with opensource tools for cloud adoption preferred (e.g. open stack, terraform, ansible,.).
• Experience with telco applications and their requirements for cloud migration preferred.
• Quick learner, ability to multi-task, and work with global distributed teams. Open to travel internationally.
• Excellent listening, negotiation and presentation skills, Excellent verbal and written communications skills.
• Experience in coordinating and managing in cross functional and international teams.
• Ability to manage stakeholders across hierarchies and communicate with the executive positions.

ประสบการณ์:

ไม่จำเป็นต้องมีประสบการณ์ทำงาน

ทักษะ:

English

ประเภทงาน:

งานประจำ

• To support projects requirement by extracting them from business through interaction and research.
• To support adapt at translating business requirement to technical requirements by using analysis and modeling tools to match strategic business objectives.
• To study and research new information technology and method to support business requirement.
• To research the new technology and method for continuously improve system efficiently and effectively.
• Create a Data Analytics by Power BI and will attempt to analyze the tools. that is advanced to meet the business goals.
• Contract Period: 12 Months (First 3 month for performance evaluation before renew contract).
• Working Hour: Mon Fri 08.00-17.00.
• Location: SPRC (Star Petroleum Refining Public) Map Ta Phut Industrial.
• Male / Female, 30-35 years old.
• Bachelors Degree with 4 years of experience Data Analytic.
• Great interpersonal, communication, and presentation skills.
• Proficient in developing visualize report by Power BI.
• Good knowledge for Big Data, Cloud Platform and Data Analytic.
• Knowledge SQL Server, Oracle, MySQL,PowerBI.
• Good developer skill with R, Python, PL/SQL, CICD, Dep Ops, Docker.
• Interested in studying and discovering new technologies both current and future trend such as Cloud, Big Data.
• Intermediate level of English.

ประเภทงาน:

งานประจำ

กรุงเทพมหานครPostedPosted 1 day ago

ประเภทงาน:

งานประจำ

กรุงเทพมหานครPostedPosted 8 days ago