เงื่อนไขการค้นหา

ประสบการณ์:

3 ปีขึ้นไป

ทักษะ:

Big Data, TensorFlow, Problem Solving, Analytical Thinking, Thai, English

ประเภทงาน:

งานประจำ

• Develop custom data models and algorithms to apply to data sets.
• Develop processes to monitor and analyze model performance and data accuracy by using our Big data software
• Work Independently or in a team to resolves product or service problems by determining the cause of the problem, selecting and explaining the best solution to solve the problem, expediting correction or adjustment, and following up to ensure resolution.
• 3+ years of proven experienced in advanced analytics project implementation
• Experienced and good understanding in data preparation, feature engineering, model development, and any methods related to advanced analytics
• Familiar with ML/AI tools and framwork such as Jupyter notebook, Keras, Tensorflow, AutoML, Kubeflow, etc.
• Strong problem solving skills
• Experienced in Spark framework is a plus
• Experienced in big data platform is a plus.

ประเภทงาน:

งานประจำ

• Possess business focus, strong analytical and problem solving skills and programming knowledge to be able to quickly cycle hypothesis in discovery phase.
• Be responsible for modeling complex business problems, discovering business insights and identifying opportunities through the use of statistical, algorithmic, mining and visualization techniques.
• Work closely with engineering/business team, project/program managers and other IT teams to help preparing large, varied engineering/business datasets, architecting spe ...
• Present the findings to the data owner/management by exposing his/her assumptions and validation work in a way that can be easily understood.
• Possess excellent writing and communications skills to report back the findings in a clear, structured manner.
• คุณสมบัติ:Bachelor's or Master's degree in Computer Science, Computer Engineering, Statistics, Operations research, Data Analytics, or related field.
• Having 0-3 years of experience in Data Scientist / Data Analyst.
• Solid understanding of advanced statistics, optimization and machine learning practices.
• Strong scripting and programming skills, such as Python, R, SQL etc.
• Experience with business intelligence and data visualization tools like MS Power BI, Tableau is preferred.
• Experience with data analytics platform like Data bricks, Snowflake is preferred.
• Intellectual curiosity, desire to learn, ability to take initiative, strong analytical skills, problem-solving skills and data driven thinking.
• Excellence communication skill and coordinating skills.

ประสบการณ์:

5 ปีขึ้นไป

ทักษะ:

Python, C++

ประเภทงาน:

งานประจำ

• ปัจจุบันบริษัท สหพัฒนพิบูล จำกัด (มหาชน) เป็นบริษัทตัวแทนจำหน่ายที่ใหญ่ที่สุดในประเทศไทย ที่มีระบบโลจิสติกส์ที่ทันสมัย ครอบคลุมทุกช่องทางการขายและมี เครือข่ายกว้างขวางที่สุดในประเทศ รับผิดชอบในการกระจายสินค้า กว่า 600 รายการ ภายใต้ 90 แบรนด์สู่ครอบครัวคนไทย.
• 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.

ประเภทงาน:

งานประจำ

• Design and build the resilient data infrastructure using analytics tools and technologies such as Microsoft Power BI, Azure, Microsoft Reporting and machine learning technologies for advance and predictive analytics to transform enterprise business processes.
• Partner with business functions, regional, global team to build and deliver advanced and predictive analytics initiatives.
• Integrate new data sources required by the business (e.g. pull data from external AP ...
• Provide enablement services around predictive, diagnostic, and optimization analytics. Work with large, complex data sets. Solve difficult, non-routine analysis problems, applying advanced analytical methods as needed.
• Conduct end-to-end analysis work that includes data gathering from various data storage platforms, requirements specification, data processing tasks, various analysis techniques, and ongoing business deliverables.
• Performs preliminary studies, general systems specifications and detailed systems specifications.
• Ensures business requirements are met, and service quality maintained when introducing new products. Considers the cost effectiveness of proposed solutions.
• Assists others in resolving complex technical problems and investigating the root cause of problems and recommends smart (specific, measurable, achievable, realistic, timely) solutions.
• ARE YOU A FIT?.
• Bachelor or Master Degree in Engineering, Computer Science, Mathematics, or related fields.
• Minumum 3 years of experience in Analytics Tools and Platforms, expertise in technologies such as Microsoft Power BI, Microsoft Azure and Microsoft Reporting technologies. Exposure and knowledge of SAP technologies such as SAP Business Objects Business Intelligence suite (Web Intelligence, R Shiny, Dashboards), SAP BW HANA.
• Experience in Predictive and Machine Learning technologies and coding skills in Javascript, R or Python offer a distinct advantage.
• Excellent in excel, macro, SQL, and NoSQL database.
• Good understanding of Cloud technologies (Azure, AWS, Google Cloud).
• Understanding of various software development methodologies (e.g. agile, waterfall, design thinking).
• Able to work independently. Self-initiative and ability to work with little supervision.
• Strong data and analytical skills. Enjoy working with numbers and bringing structure to complex data sheets.
• Good understanding of system engineering, information risk and security guidelines, and architecture standards.
• Proven track record of delivering IS/IT projects/programs in a fast-paced, dynamic environment with excellent understanding of business needs and interdependencies.
• Effective communication skills at all levels of business and technical professionals both Thai and English.
• Experienced in stakeholder management as well as in conflict resolution in a cross-functional environment.
• We are Nestlé, the largest food and beverage company. We are 308,000 employees strong driven by the purpose of enhancing the quality of life and contributing to a healthier future. Our values are rooted in respect: respect for ourselves, respect for others, respect for diversity and respect for our future. With more than CHF 91.4 billion sales in 2018, we have an expansive presence with 413 factories in more than 85 countries. We believe our people are our most important asset, so we'll offer you a dynamic inclusive international working environment with many opportunities across different businesses, functions and geographies, working with diverse teams and cultures. Want to learn more? Visit us at www.nestle.com.

ประสบการณ์:

5 ปีขึ้นไป

ทักษะ:

English

ประเภทงาน:

งานประจำ

• ดำเนินกิจกรรมและประสานงานกับหน่วยงานภาครัฐและเอกชน อาทิ กระทรวงการต่างประเทศ กระทรวงพาณิชย์ องค์การระหว่างประเทศ สภาธุรกิจ-การค้าต่างประเทศ หอการค้าต่างประเทศ
• จัดทำและวิเคราะห์ข้อมูลในประเด็นที่ผู้บริหารมอบหมาย อาทิ ความสัมพันธ์ระหว่างประเทศ สถานการณ์ในต่างประเทศ นโยบายสำคัญประเทศ ภูมิหลังหน่วยงานต่างประเทศ
• ดำเนินกิจกรรมเพื่อส่งเสริมความสัมพันธ์อันดีกับเครือข่าย
• จัดทำข้อมูลและนำเสนอผู้บริหารในรูปแบบสรุปความและ Presentation
• จัดทำและติดตามงบประมาณของทีมในแต่ละปีงบประมาณ
• งานอื่นๆ ที่ได้รับมอบหมาย
• Educations Background (การศึกษา)
• ปริญญาตรี สาขาบริหารจัดการ, อักษรศาสตร์,มนุษยศาสตร์,ศิลปศาสตร์, เศรษฐศาสตร์, รัฐศาสตร์หรือสาขาอื่นๆ ที่เกี่ยวข้อง
• Professional Experiences (ประสบการณ์การทำงาน)
• มีประสบการณ์การบริหารโครงการ, การจัดการ, อย่างน้อย 5 ปี ขึ้นไป|
• มีความรู้ ความเข้าใจในการบริหารโครงการ, การจัดการ
• มีความรอบรู้และสนใจข่าวทั้งในด้านเศรษฐกิจ สังคม เป็นต้น
• มีความสามารถใช้ภาษาอังกฤษในระดับดีมาก (ฟัง พูด อ่าน เขียน)
• ติดต่อสอบถาม
• คุณกฤตนู กุลธนภักดี โทร. 02-078-5986
• สำนักทรัพยากรบุคคล
• บริษัท ไทยเบฟเวอเรจ จำกัด (มหาชน)
• อาคารไทยเบฟควอเตอร์ 62 ถนนรัชดาภิเษก
• แขวงคลองเตย เขตคลองเตย กรุงเทพมหานคร 10110

ประเภทงาน:

งานประจำ

• Collecting employee data, employment records, and exit interviews.
• Implementing relevant HR metrics in order to determine the efficiency and impact of the workforce.
• Analyzing data and statistics for trends with regard to recruitment practices, motivation, turnover.
• Qualifications A bachelor's degree in human resources or business administration.
• A minimum of 3 year's experience in a similar role.
• Experience using human resource management systems (HRIS).
• Excellent research, analytical, and problem-solving skills.
• Excellent knowledge of Microsoft Office Suite, Excel, and the ability to create charts, spreadsheets, and presentations.
• Familiarity with HR operations, such as hiring, payroll, and employee benefits.
• Excellent verbal and written communication skills.
• Recruiter Kanokwan Siriluan (กนกวรรณ ศิริล้วน)

ประเภทงาน:

งานประจำ

• Data Cleaning and Preparation Need to retrieve data from one or more sources and prepare the data so it is ready for numerical and categorical analysisData cleaning also involves handling missing and inconsistent data that may affect your analysis.
• Data Analysis and Exploration Take a business question or need and turn it into a data questionThen, transform and analyze data to extract an answer to that questionMoreover, find interesting trends or relationships in the data that could bring value to a business.
• Creating Data Visualizations and Communication Produce reports or build dashboards on your findings and communicate to business stakeholders and managements.
• Qualification Bachelor Degrees in MIS, Business, Economic, Computer Science or related field.
• At least 23 year of experience with Data Analysis.
• Age between 26 35 years.
• Recruiter Supaporn Limsiritong (สุภาภรณ์ ลิมศิริธง)

ประเภทงาน:

งานประจำ

• Conduct data inventory, privacy impact and vendor risk assessments.
• Review agreements for the transfer and processing of personal data among various entities and third parties.
• Advise product and business groups across the company regarding privacy and security requirements.
• Ensure compliance with Grab policies, laws and regulations relating to privacy.
• Develop, review and maintain internal practices to support Grab's privacy initiatives.
• Provide ongoing management, content development and oversight of the privacy training and communication programmes.
• Providing project support to legal team members on privacy and data protection issues.
• Build, refine, and scale privacy and data protection compliance framework.
• Lead and support regulatory investigations and responses.
• Perform privacy reviews working with product development teams to support Grab's privacy by design approach for new product features.
• Undertake translation of privacy policies/notices and/or official correspondences with the Government to Thai and English.
• Collaborate with public affairs team to monitor privacy and data-protection related developments and coordinate communications with regulators as necessary.
• Collaborate with safety team to monitor government demand requests.
• Collaborate regularly with leadership and Regional Privacy Office to provide strategic guidance on emerging privacy requirements.
• Manage and attend to data subject access requests.
• The Must-Haves.
• 3-4 years experience in Data Privacy, Compliance, Information Security, or Legal roles.
• Experience in complaint and breach handling and remediation.
• Experience in rolling out and running a data privacy programme.
• Ability to prioritize and manage multiple projects and work in a fast-paced environment.
• Organized, responsive, and able to gain support and consensus with multiple stakeholders.
• Degree in law or equivalent.
• Experience in, and a strong passion for technology, big data, data governance and data privacy.
• A collaborative self-starter who can work independently, and be comfortable in a high-growth, fast-paced and dynamic environment.
• Team player with a proven track record of building cross-functional relationships.
• Demonstrated ability to complete several simultaneous projects on a deadline.
• Detail-oriented with excellent writing and oral skills.
• CIPP, CIPM or other Privacy certifications are a plus.
• Able to speak, read and write proficiently in Thai and English.
• Knowledge of GDPR or other privacy laws in SEA is a plus.
• Our Commitment.
• We are committed to building diverse teams and creating an inclusive workplace that enables all Grabbers to perform at their best, regardless of nationality, ethnicity, religion, age, gender identity or sexual orientation and other attributes that make each Grabber unique.
• About Grab.
• Grab is the leading superapp platform in Southeast Asia, providing everyday services that matter to consumers. Today, the Grab app has been downloaded onto millions of mobile devices, giving users access to over 9 million drivers, merchants, and agents. Grab offers a wide range of on-demand services in the region, including mobility, food, package and grocery delivery services, mobile payments, and financial services across 428 cities in eight countries.
• Join us today to drive Southeast Asia forward, together.

ประเภทงาน:

งานประจำ

• Apply your expertise in quantitative analysis, data mining, and the presentation of data to identify opportunities for business improvements and support your recommendations.
• Own end-to-end project or roll out new experiments to validate in-market impact of an initiative within Partner Development.
• Build dashboards, identify new and track key metrics to closely monitor team's performance and identify quick and long term opportunities for improvements.
• Work closely with cross-functional teams of analysts, regional team leads, product managers and business owners to drive changes based on opportunities identified.
• Support global Partner Development related initiatives, including experimentation infrastructure-building and methodology standardization.
• What you'll need to succeed.
• Bachelor's degree in science, computer science, statistics, economics, mathematics, or similar quantitative discipline.
• 4-8 years experience working in a business analysis, data analysis, reporting or business strategy role.
• Excellent problem-solving skills including the ability to analyze and resolve complex problems using data.
• Team player with strong interpersonal, relationship-building, and stakeholder management skills.
• Coding skills for analytics and data manipulation (SQL, R, Python, Pandas, Scala).
• Data visualization tool experience such as with Tableau or your weapon of choice.
• Ability to work under pressure in a fast-paced and rapidly changing environment.
• Excellent communication skills (both verbal and written in English), with proven ability to convey complex messages clearly and with conviction.
• 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.
• To all recruitment agencies: Agoda does not accept third party resumes. Please do not send resumes to our jobs alias, Agoda employees or any other organization location. Agoda is not responsible for any fees related to unsolicited resumes.

ประเภทงาน:

งานประจำ

• Data Cleaning and Preparation - Need to retrieve data from one or more sources and prepare the data so it is ready for numerical and categorical analysis. Data cleaning also involves handling missing and inconsistent data that may affect your analysis.
• Data Analysis and Exploration - Take a business question or need and turn it into a data question. Then, transform and analyze data to extract an answer to that question. Moreover, find interesting trends or relationships in the data that could bring value to a business.
• Creating Data Visualizations and Communication - Produce reports or build dashboards on your findings and communicate to business stakeholders and managements.
• QualificationBachelor Degrees in MIS, Business, Economic, Computer Science or related field.
• At least 2-3 year of experience with Data Analysis.
• Age between 26 - 35 years.
• Recruiter Atitaya Dechpan (อทิตยา เดชปาน)

ประเภทงาน:

งานประจำ

• Work with the Data Governance manager as a liaison between AIS business units and solutions Unit to improve business processes, improve the quality of data within our AIS systems and introduce an enterprise taxonomy and ontology consistently across the business and systems.
• Develop standards, policies and procedures to support the creation and provide technical assurance for the on-going implementation of the data governance policy and standards within the business.
• Help establish best practice and ownership of the corporate taxonomy and ontology, and develop rules for their use.
• Support and supervise information stewardship activities and management of data quality, metadata and data dictionary.
• Support project planning and management to ensure best practice and data governance and data quality frameworks are followed with regards to data governance.
• Recruiter Supaporn Limsiritong (สุภาภรณ์ ลิมศิริธง)

ประเภทงาน:

งานประจำ

• Job Posting Location Bangkok
• Job Summary Using data to help solve business problems by identifying various facts, trends, problems and propose solutions to make better strategic business decisions. Preparing descriptive analytics examines what happened in the past to spot trends. Also preparing diagnostic analytics considers why something happened by comparing descriptive data sets to identify dependencies and patterns to determine the cause of a positive or negative outcome. The responsibilities typically include the following ...
• Data Cleaning and Preparation Need to retrieve data from one or more sources and prepare the data so it is ready for numerical and categorical analysisData cleaning also involves handling missing and inconsistent data that may affect your analysis Data Analysis and Exploration Take a business question or need and turn it into a data questionThen, transform and analyze data to extract an answer to that questionMoreover, find interesting trends or relationships in the data that could bring value to a business Creating Data Visualizations and Communication Produce reports or build dashboards on your findings and communicate to business stakeholders and managements Database systems (SQL and No SQL based) Analysis,Statisics, Spreadsheet tools,Data Visualization & Communication, Business knowledge and technology, Presentation Skill Language and Tools:SQL, Analysis services,SAS,Excel: Data analysis,Tableau, Power BI Recruiter Siriya Inrit (สิริญา อินทร์ฤทธิ์)

ประเภทงาน:

งานประจำ

• Be a key person to develop data management and governance strategy.
• Implement data managmenet and governance program at SCGP.
• Develop and execute communication plan towards a data driven organization.
• Design data quality measure and metric.
• Review and approve datawarehouse and lake model developed by data engineers.
• Develop data literacy roadmap for employees in SCGP.
• Bachelor/Master in Computer engineering / Computer Science / IT / Business IT/ MIS (For Bachelor G.P.A. > 2.70 and Master G.P.A. > 3.30).
• Proficient in English (TOEIC > 550).
• 5-10 years of experience related to data warehouse design, data security, data management or governance.
• Some data management software skills might be useful including Talend, Erwin, any data warehouse design software.
• Familarity with SQL language, ETL data operations, Experience in master data management, metadata management, data quality, data lineage, GDPR, PDPA.
• Possess critical thinking, interpersonal, detail-oriented, collaboration, and communication skills.
• ติดต่อ: Phakyadar เพชร Taychamanoon.
• อีเมล์: [email protected]
• โทรศัพท์:

ประเภทงาน:

งานประจำ

• Develop and maintain the data pipeline.
• Design and set up data architecture to solve business problems.
• Manage team projects.
• Find data solution for solving the organization's problem and able to implement it.
• คุณสมบัติ: Bachelor's or Master's degree in Computer Engineer, Computer Science, MIS or other relevant (ฺBachelor G.P.A. > 2.70, Master G.P.A. > 3.30).
• Proficient in English (TOEIC > 550).
• Understand and can adapt the knowledge about modern data technology such as NoSQL, Cloud technology to solve the data consumer's problem.
• Having knowledge about programming languages especially Python and SQL and can use them to create data products to serve business's needs.
• Having knowledge about data analytics and business analytics is a plus.
• Positive attitude, Growth Mindset, Eager to learn, and Service mind.
• ติดต่อ: Phakyadar เพชร Taychamanoon.
• อีเมล์: [email protected]
• โทรศัพท์:

ประเภทงาน:

งานประจำ

• To provide leadership in the use of data analysis techniques and structured problem solving to support Supply Chain Operations and SPR activities.
• To provide data analysis support in identifying trends in non-conforming product and assist in roots cause analyzes to identify necessary corrective actions.
• To provide expert support in the use and development of data science and modeling such as PYE project.
• Provide data analysis leadership for the region by dissemination of technical expertise within local SPR and Supply Chain Operations manufacturing site super users.
• Establish and maintain networks within the region, between regions, with the CP statistics community and with global SPR to aid problem solving and establish best practice in data analysis.
• Identify and progress data analysis initiatives and opportunities to improve the effectiveness of SPR development activities (plant efficiency and quality improvements and reducing variability in plant operations), and to support the introduction of Manufacturing Excellence programmes.
• Provide statistical expertise to ensure planned trials generate statistically significant results an thereby ensuring full value from employed resources.
• Develop and coach colleagues in the use of data analysis techniques including the 7 Simple Tools and design of experiments. Encourage the use of these tools within regional SPR and Supply Chain Operations manufacturing communities.
• Monitor external data analysis advances and identify and progress potential applications. Collaborate with external bodies as appropriate.
• Provide expert support in the use and development of GenEx (PYE, YES, CAT, etc.,).
• Provide data analysis support to identify trends in, and root causes of, non-conforming product (process deviations).
• Critical experience and knowledge.
• Experience of data driven problem solving and graphical analysis.
• Industry experience in using multi variate analysis, data modelling and experimental design.
• Experience and understanding of seeds multiplication and processing activities.
• Critical technical and professional capabilities.
• Ability to motivate and share knowledge and expertise with others.
• Ability to analyse complex and diverse problem situations creatively leading to the generation and implementation of effective solutions.
• Ability to convey the right level of detail to the right audience verbally, in writing, or by presentations and ability to judge when and who to communicate key information.
• Able to maintain and extend structured networks both within region and between regions.
• Critical Success Factors & Key Challenges.
• Ability to influence and change current ways of working to develop a more scientific approach in the way we design experiments and interpret results.
• A passion and enthusiasm for statistics in terms of converting data into useful information to drive business value.
• Team working in multi-functional groups, both within SPR and externally.
• Critical leadership capabilities.
• SET DIRECTION.
• Communicate Effectively: expresses ideas fluently and eloquently.
• DRIVE RESULTS.
• Achieve Goals: aligns organizational resources to accomplish key objectives.
• Inspire Commitment: rallies support throughout the organisation to get things done.
• LIBERATE POTENTIAL.
• Leverage Diversity: works well with people who differ in race, gender, culture or age.
• Develops others: Brings out the best in people.
• CREATE EDGE.
• Focus Energy: is determined, committed to success.
• ADDITIONAL INFORMATION.
• Syngenta is an Equal Opportunity Employer and does not discriminate in recruitment, hiring, training, promotion or any other employment practices for reasons of race, colour, religion, gender, national origin, age, sexual orientation, marital or veteran status, disability, or any other legally protected status..

ประเภทงาน:

งานประจำ

• Develop and analyze database system and the statistical process then use the information to develop marketing and sales plan to enhance industrial efficiency.
• Develop software that can manage database information such as customer and competitor information.
• Maintenance and customizing the main website of the department for more efficiency of the database system.
• Manage Daily and Monthly information and develop report form that is easy to understand and efficient.
• คุณสมบัติ:Bachelor's Degree or higher in Computer Science, Computer Engineering/Information Technology/ Mathematics/MIS or related fields.
• Having experience in Data analyst, statistical modeling, Business intelligence would be an advantage.
• Be able to use SQL, R, and Python.
• Strong verbal and written communications skills and ability to lead effectively across organizations.
• Experience in the solution architect role.

ประเภทงาน:

งานประจำ

• Act as the primary point of contact within DATAx for members of staff, regulators, and any relevant public bodies on issues related to data protection, providing support as the Data Protection Officer across SCBx.
• Engage in regular dialog with regulators overseeing data privacy and data protection areas to understand current issues and concerns, and align DATAx's data protection management program with regulatory needs.
• Develop and review a Data Protection Management Programme (DPMP) that covers policy, ...
• Enhance compliance processes based on an evaluation of gaps in DATAx's business operations and data protection requirements, and clarify ethically questionable situations at various stages of data or information life cycle.
• Ensure that DATAx and all subsidiaries of SCBx's policy is in accordance with Personal Data Protection Act ("PDPA") and codes of practice.
• Evaluate the existing data protection framework and identify areas of non or partial compliance and rectify any issues for DATAx and SCBx Subsidiaries.
• Coordinate, harmonize and present outcomes to SCBx's Group Data Privacy Committee.
• Proactively conduct audits to ensure compliance and address potential issues.
• Provide expert advice and educate employees on important data protection compliance requirements (e.g. development of new data services).
• Devise training plans and provide data protection advice and support for members of staff across DATAx and all subsidiaries of SCBx.
• Inform and advise the Data Controller or Data Processor on all matters related to data protection.
• Partners with the Data Governance Office to ensure data compliance.
• Promote a culture of data protection compliance across all units of DATAx.
• Maintain records of all data processing activities carried out by DATAx.
• Qualifications Bachelor's or Master's Degree in Law, Technology or related fields.
• Experience within a legal, compliance, audit and/or risk function department, with experience in dealing with Data Protection issues.
• Have significant hands-on privacy experience and expert knowledge of data protection law and practice for the purposes of implementing PDPA mandates.
• Experience with managing regulatory engagement.
• Strong project management skills.
• Ability to work well under pressure and manage sensitive and confidential information.
• Excellent verbal and written communication skills, with strong attention to detail.
• Ability to communicate complex privacy-related concepts and requirements in simple terms, including being able to translate regulator recommendations into internal guidelines and other documentation.
• Understand DATAx's mission and core operations, specifically its processing operations, information systems, and data security and data protection needs.
• Keep abreast of changes in law and technology that may change the threat landscape and, as a result, change DATAx's exposure to risk.
• Core Competencies Data Protection Management - demonstrate the ability to design DATAx's Data Protection management program in accordance with legal requirements.
• Business Risk Management - Able to forecast and assess existing and potential data risks which impact the operation and/or profitability of DATAx as well as the development and roll out organization-wide strategies and processes to mitigate risks.
• Cyber and Data Breach Incident Management - Able to detect and report cyber and data-related incidents to drive effective resolution.
• Integrity - use your strong ethical compass to navigate what are often uncharted territories.
• We're committed to bringing passion and customer focus to the business. If you like wild growth and working with happy, enthusiastic over-achievers, you'll enjoy your career with us.

ประเภทงาน:

งานประจำ

• Provide administration of Informatica platform suite including Axon, EDC, BDQ and other tools to support Data Governance activities.
• Evaluate platform needs, configure, manage and maintain technical details of each module.
• Manage/coordinate creation and maintenance of connections between the Informatica tools and other data sources/applications.
• Manage user roles and access within Informatica platform including configuration and ongoing review process.
• Perform batch management and troubleshooting.
• Coordinate/plan platform maintenance and release management.
• Manage onboarding new users onto the platform.
• Provide initial support for incidents related to the platform.
• Contribute to documentation, review & communication of related platform manuals.
• Other system/technical related activities under Data Governance responsibilities e.g. supporting technical solution for Role-Based Access Control and Data Lake user access request. Qualification2-5 years of relevant experience in a systems administration role. Experience with Informatica platform or similar type of data management tool is a plus.
• Knowledge of Metadata Management and Data Quality Management.
• Knowledge of the software security model and adaptability.
• Knowledge of AD authentication models and LDAP integration.
• Knowledge of Unix (Linux) and Window environment system.
• Knowledge of Cloud environment.
• We're committed to bringing passion and customer focus to the business. If you like wild growth and working with happy, enthusiastic over-achievers, you'll enjoy your career with us.

ประเภทงาน:

งานประจำ

• You will provide integrated data & analytics services to help clients develop or enhance their data & analytics services to help clients develop or enhance their data & analytics practices.
• You'll be expected to design and build sustainable and agile data & analytics tools and methodologies in response to changes in client or firm requirements.
• You'll also need to make sure the team can deliver high quality data and analytics work and provide constructive and practical advice for clients.
• You will also contribute to the firm's intellectual property by promoting the development of tool kits, methodologies, accelerators and training.
• Bachelor's or master's degree in Business Analytics, Computer Science, Engineering, Information Systems or Technologies, Statistics or other related disciplines that possess an analytical component.
• 1-3 years of experience in developing, analysing, and interpreting data analytics solutions using some of the following software:Analytical software (e.g. R, SAS).
• Data visualisation tools (e.g. Qlikview, PowerBI,).
• Relational database management tools (e.g. SQL).
• Machine learning and AI (e.g. Python).
• Ability to analyse and break down complex concepts and interpret technical findings into clear language that can be communicated to team members and clients.
• An appreciation for structured methodical research with an understanding of the client's risk, control and business environment.
• Strong project management, interpersonal and advisory skills.
• Flexibility to travel and work on out of town engagements and overseas assignments.
• Clear, articulate, and confident written and verbal communication in Thai and English.
• Education (if blank, degree and/or field of study not specified).
• Degrees/Field of Study required: Bachelor Degree Degrees/Field of Study preferred:Certifications (if blank, certifications not specified).
• Desired Languages (If blank, desired languages not specified).
• English
• Travel Requirements.
• Not Specified
• Available for Work Visa Sponsorship?.
• No
• Government Clearance Required?.
• No
• Job Posting End Date.

ประเภทงาน:

งานประจำ

• Function as a point of contact of the area of responsibility for advanced data analysis, model development request and data analytics solutions.
• Create relevant and deep strategic insights from large and complex data and leverage outcome of machine learning models.
• Operate and customize predictive models that deliver values to business units.
• Collaborate with cross-functional teams to develop new feature engineering and implement end-to-end data analytics solutions.
• Basic Qualifications BS or MS degree in Engineering, Computer Science, Math, Physics, Statistics or other areas that are highly quantitative.
• Experience with statistical programming languages (e.g., Python, R, pandas) and database software (e.g., SQL, PySpark).
• Foundational knowledge in statistics and machine learning (e.g., regression, classification, clustering, hypothesis testing).
• Strong analytical problem-solving abilities.
• We're committed to bringing passion and customer focus to the business. If you like wild growth and working with happy, enthusiastic over-achievers, you'll enjoy your career with us.