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Job type:
Full-time
Salary:
฿30,000 - ฿45,000, negotiable
- Develop the analytics strategy of AIS properties, both of website and applications, to gather all data and insight and conduct collection, tracking and analysis of data and the generation of fact-based insights using digital analytic tools including Adobe Analytic, Google Analytic 4 and truehits.net.
- Analysis of digital marketing traffic and channels of paid, own, earn web and app, customer journey and performance marketing analysis-purchase funnel.
- Implement the data driven marketing guideline document and use data driven decision ...
- Execute assigned projects in areas such as analytics implementation, use case, data integration, tag management, online tracking etc.
- Explore the latest Marketing Technologies (MarTech) trends and technological advances including Analytic, DMP, CDP, SEO tools and Social Listening tools etc.
- At least 3 years professional work experience in digital marketing.
- Education background in IT, Statistics.
- Analytical and systematic thinking skills with using Google Analytics 4 tool..
Skills:
Negotiation, Excel, Formula, English
Job type:
Full-time
Salary:
negotiable
- Run and deliver most effectively MRI system.
- Do the whole process for create temporary lease contract all format include Food Court.
- Create a database for all business units in Mall Management (Permanent, Temporary, Food Court and report development benefits).
- Ensure data accuracy, slightest mistake and fraud including temporary space layout update.
- Set up database all business units for create the contract.
- Support and resolve issues related with the MRI.
- Coaching and advising end-user about the MRI system.
- Bachelors degree in Business administration, or any related fields.
- Strong negotiation skill.
- Be able to work under pressure.
- Good command of written and spoken English.
- Good computer skill in Microsoft excel (Pivot, Formula).
- Good problem solving skill.
- Good communication skill.
- CP AXTRA | Lotus's
- CP AXTRA Public Company Limited.
- Nawamin Office: Buengkum, Bangkok 10230, Thailand.
- By applying for this position, you consent to the collection, use and disclosure of your personal data to us, our recruitment firms and all relevant third parties for the purpose of processing your application for this job position (or any other suitable positions within Lotus's and its subsidiaries, if any). You understand and acknowledge that your personal data will be processed in accordance with the law and our policy. .
Job type:
Full-time
Salary:
negotiable
- ออกแบบและดำเนินการวิเคราะห์ข้อมูลเชิงลึก เพื่อสนับสนุนกลยุทธ์องค์กร และเพิ่มประสิทธิภาพการดำเนินงาน.
- สร้าง Dashboard และรายงานแบบ Interactive โดยใช้ Power BI หรืออื่นๆ.
- สร้าง Framework สำหรับการวิเคราะห์ข้อมูลแบบ End-to-End ตั้งแต่การเก็บข้อมูล ไปจนถึงการนำเสนอผลลัพธ์.
- สร้างแบบจำลองทางสถิติ (Predictive Model) เช่น Sales Demand Forecasting, Fuel Consumption Trends, Customer Lifetime Value.
- ทำงานร่วมกับธุรกิจ ในการแปลปัญหาทางธุรกิจให้เป็นโจทย์การวิเคราะห์ข้อมูล พร้อมนำเสนอ Insight ที่มี Impact.
- ร่วมกำหนด KPI และ Data Strategy กับหน่วยงานธุรกิจ.
- สื่อสารผลการวิเคราะห์ให้เข้าใจง่าย พร้อมข้อเสนอแนะเชิงกลยุทธ์ที่นำไปปฏิบัติได้.
- ปริญญาตรีขึ้นไปในสาขา Data Science, Statistics, Computer Science, Business Analytics หรือสาขาอื่นที่เกี่ยวข้อง.
- มีประสบการณ์อย่างน้อย 2-5 ปีในด้าน Data Analytics หรือ Data Science.
- มีประสบการณ์ด้าน Data Visualization และสามารถนำเสนอข้อมูลได้อย่างมีประสิทธิภาพ.
- มีทักษะการเขียนโปรแกรม เช่น Python, R, SQL และเครื่องมือ BI เช่น Power BI, Tableau หรือใกล้เคียง.
- มีทักษะการสื่อสารและการคิดเชิงวิเคราะห์ (Analytical Thinking) ที่ยอดเยี่ยม.
- เข้าใจแนวคิด Machine Learning และสามารถใช้ Libraries เช่น scikit-learn, XGBoost, TensorFlow, PyTorch ได้.
- มีความรู้ความเข้าใจเกี่ยวกับการทำ Forecasting, Clustering และ Predictive Analytics.
- หากมีประสบการณ์กับ Cloud Platform (เช่น AWS, GCP, Azure) จะพิจารณาเป็นพิเศษ.
Job type:
Full-time
Salary:
negotiable
- Develop product strategy and product development in the analyticX group, Open API, and related platforms such as MarTech and EdTech to meet market demands and align with the company s business plan.
- Manage product revenue, profit, and cost to ensure alignment with business goals and financial targets.
- Possess strong technical knowledge and understanding across key domains, including Software Development, Data Analytics, AI and ML, API and Interface Design, as well as ...
- Deliver impactful product presentations, consultative selling, and design effective solutions for clients, with the ability to successfully close deals. Represent the company as a speaker at relevant events and engagements when required.
- Define product and pricing positioning, plan Go-to-Market (GTM) strategy and Sales & Partner strategies, and work closely with marketing and sales teams on communication and account planning to drive sales performance in line with company objectives..
- A Master s degree in Engineering, Science, Computer Science, Data Science, or another STEM-related field.
- (For candidates holding a Master s degree in Marketing or Business Administration, a Bachelor s degree in a STEM field is required.).
- More than 10 years of work experience, including at least 5 years in Software Product Development in roles such as Product Owner, Business Analyst, System Analyst, or equivalent; and at least 3 years of experience specifically related to Data Analytics.
- Strong understanding of core concepts in Software Development, Data Analytics, AI and Machine Learning, API and Interface Design, and UX/UI Development, with the ability to communicate effectively with domain experts.
- Solid understanding of the mobile operator business or at least one type of B2B business. Experience working with or utilizing Telco Data is a strong advantage.
- Excellent communication and presentation skills, both internally and externally.
- Proven ability in consultative selling, including influencing and closing deals with clients.
- Possesses a growth mindset, is eager to learn, and demonstrates strong self-learning capabilities.
- Strong in strategic thinking, logical thinking, analytical skills, and critical thinking.
- Able to solve complex problems and effectively manage multiple stakeholders.
- Thrives in an outcome-driven environment, demonstrates high self-motivation and autonomy, is highly adaptable, and committed to performing well in a dynamic and fast-paced setting.
Skills:
Big Data, Hive, SAS
Job type:
Full-time
Salary:
negotiable
- Experience migrating from on-premise data stores to cloud solutions.
- Knowledge of system design and platform thinking to build sustainable solution.
- Practical experience with modern and traditional Big Data stacks (e.g BigQuery, Spark, Databricks, duckDB, Impala, Hive, etc).
- Experience working with data warehouse solutions ELT solutions, tools, and techniques (e.g. Airflow, dbt, SAS, Matillion, Nifi).
- Experience with agile software delivery and CI/CD processes.
- Bachelor's or Master's degree in computer science, statistics, engineering, or a related field.
- At least 3 years of experience in data analysis and modeling.
- Proficiency in Python, and SQL.
- Experience with data visualization tools such as Tableau, Grafana or similar.
- Familiarity with cloud computing platforms, such as GCP, AWS or Databricks.
- Strong problem-solving skills and the ability to work independently as well as collaboratively.
- Growth Potential: This role offers a clear path to advance into machine learning and AI with data quality and management, providing opportunities to work on innovative projects and develop new skills in these exciting fields..
- Contact : [email protected].
- You have read and reviewed Infinitas By Krungthai Company Limited's Privacy Policy at https://krungthai.com/Download/download/DownloadDownload_73Privacy_Policy_Infinitas.pdf. The Bank does not intend or require the processing of any sensitive personal data, including information related to religion and/or blood type, which may appear on copy of your identification card. Therefore, please refrain from uploading any documents, including copy(ies) of your identification card, or providing sensitive personal data or any other information that is unrelated or unnecessary for the purpose of applying for a position on the website. Additionally, please ensure that you have removed any sensitive personal data (if any) from your resume and other documents before uploading them to the website.
- The Bank is required to collect your criminal record information to assess employment eligibility, verify qualifications, or evaluate suitability for certain positions. Your consent to the collection, use, or disclosure of your criminal record information is necessary for entering into an agreement and being considered for the aforementioned purposes. If you do not consent to the collection, use, or disclosure of your criminal record information, or if you later withdraw such consent, the Bank may be unable to proceed with the stated purposes, potentially resulting in the loss of your employment opportunity with.".
Skills:
SAP, Compliance
Job type:
Full-time
Salary:
negotiable
- Administer, maintain, and optimize databases to ensure high availability and performance.
- Perform database tuning, backups, recovery, and security configurations.
- Collaborate with application teams to support database needs for CRM, SAP, POS, and other business-critical systems.
- Design and implement database solutions for new projects and system enhancements.
- Monitor database performance and proactively address issues.
- Develop and maintain documentation, including data standards, procedures, and definitions.
- Ensure compliance with data governance and security policies.
- Provide support for database-related incidents and service requests.
- Mentor junior team members and provide technical leadership in database best practices..
- Bachelor s degree in Computer Science, Information Technology, or a related field.
- 5+ years of experience as a Database Administrator in a complex IT environment.
- Strong expertise in database management.
- Proficiency in database performance tuning, backup/recovery strategies, and high availability configurations.
- Familiarity with cloud-based database services (e.g., AWS RDS, Huawei RDS) is a plus.
- Strong problem-solving skills and ability to work independently.
- Excellent communication and collaboration skills.
Experience:
5 years required
Skills:
Data Analysis, Automation, Python
Job type:
Full-time
Salary:
negotiable
- Work with stakeholders throughout the organization to understand data needs, identify issues or opportunities for leveraging company data to propose solutions for support decision making to drive business solutions.
- Adopting new technology, techniques, and methods such as machine learning or statistical techniques to produce new solutions to problems.
- Conducts advanced data analysis and create the appropriate algorithm to solve analytics problems.
- Improve scalability, stability, accuracy, speed, and efficiency of existing data model.
- Collaborate with internal team and partner to scale up development to production.
- Maintain and fine tune existing analytic model in order to ensure model accuracy.
- Support the enhancement and accuracy of predictive automation capabilities based on valuable internal and external data and on established objectives for Machine Learning competencies.
- Apply algorithms to generate accurate predictions and resolve dataset issues as they arise.
- Be Project manager for Data project and manager project scope, timeline, and budget.
- Manage relationships with stakeholders and coordinate work between different parties as well as providing regular update.
- Control / manage / govern Level 2 support, identify, fix and configuration related problems.
- Keep maintaining/up to date of data modelling and training model etc.
- Run through Data flow diagram for model development.
- EDUCATION.
- Bachelor's degree or higher in computer science, statistics, or operations research or related technical discipline.
- EXPERIENCE.
- At least 5 years experience in a statistical and/or data science role optimization, data visualization, pattern recognition, cluster analysis and segmentation analysis, Expertise in advanced Analytica l techniques such as descriptive statistical modelling and algorithms, machine learning algorithms, optimization, data visualization, pattern recognition, cluster analysis and segmentation analysis.
- Expertise in advanced analytical techniques such as descriptive statistical modelling and algorithms, machine learning algorithms, optimization, data visualization, pattern recognition, cluster analysis and segmentation analysis.
- Experience using analytical tools and languages such as Python, R, SAS, Java, C, C++, C#, Matlab, SPSS IBM, Tableau, Qlikview, Rapid Miner, Apache, Pig, Spotfire, Micro S, SAP HANA, Oracle, or SOL-like languages.
- Experience working with large data sets, simulation/optimization and distributed computing tools (e.g., Map/Reduce, Hadoop, Hive, Spark).
- Experience developing and deploying machine learning model in production environment.
- Knowledge in oil and gas business processes is preferrable.
- OTHER REQUIREMENTS.
Skills:
Market Research, Research, Excel
Job type:
Full-time
Salary:
฿45,000 - ฿60,000, negotiable
- Identify and develop strategic suppliers with the capability to co-develop Fresh Food products.
- Maintain strong, collaborative relationships with reliable suppliers, ensuring consistent product quality and availability.
- Manage supplier agreements, ensuring all commitments such as pricing and invoice controls are documented and complied with.
- Conduct regular supplier and producer visits to strengthen partnerships and oversee product quality.
- Product Management & DevelopmentConduct market research and competitor analysis to identify opportunities for product innovation and category expansion.
- Collaborate with the marketing team to plan and execute new product launches and in-store activities that drive sales and customer engagement.
- Support category growth through data-driven recommendations on assortment, pricing, and promotional strategies.
- Pricing & Promotion ManagementAnalyze pricing structures and propose adjustments to optimize margin and competitiveness.
- Plan and manage promotional programs including Makro Mail, ensuring alignment with business objectives and sales targets.
- Team & Cross-functional CollaborationProvide timely feedback on market trends, competitor activities, and category performance to line managers and relevant teams.
- Share essential category information with stores, including product details, supplier contacts, ordering processes, and promotional plans.
- Conduct regular store visits to monitor execution, identify operational issues, and ensure product quality, presentation, and availability are maintained.
- Qualifications:Bachelor's degree in Business Administration, Food Science, Economics, or related field.
- 3-5 years of experience in merchandising, category management, or supplier management, preferably within Fresh Food or FMCG sectors.
- Strong analytical and data management skills; proficiency in Excel, Power BI, Tableau, or similar analytics tools.
- Knowledge of product development processes and retail promotional planning.
- Strong negotiation and relationship management skills.
- Excellent communication, coordination, and project management capabilities.
- Ability to work cross-functionally and manage multiple stakeholders.
Skills:
Python, SQL, Analytical Thinking, English
Job type:
Full-time
Salary:
negotiable
- English as working language.
- Minimum of 3 years data analytics related working experiences.
- At least 1 year of working experience directly communicate to business team.
- Proficient in Python or SQL.
- Advanced hands on experiences with visualization tool.
- Strong communication and analytical thinking skills.
- Good balance of data and business knowledge.
- Fintech or banking industry.
- Internet companies with mobile application.
- Contact : [email protected].
- You have read and reviewed Infinitas By Krungthai Company Limited's Privacy Policy at https://krungthai.com/Download/download/DownloadDownload_73Privacy_Policy_Infinitas.pdf. The Bank does not intend or require the processing of any sensitive personal data, including information related to religion and/or blood type, which may appear on copy of your identification card. Therefore, please refrain from uploading any documents, including copy(ies) of your identification card, or providing sensitive personal data or any other information that is unrelated or unnecessary for the purpose of applying for a position on the website. Additionally, please ensure that you have removed any sensitive personal data (if any) from your resume and other documents before uploading them to the website.
- The Bank is required to collect your criminal record information to assess employment eligibility, verify qualifications, or evaluate suitability for certain positions. Your consent to the collection, use, or disclosure of your criminal record information is necessary for entering into an agreement and being considered for the aforementioned purposes. If you do not consent to the collection, use, or disclosure of your criminal record information, or if you later withdraw such consent, the Bank may be unable to proceed with the stated purposes, potentially resulting in the loss of your employment opportunity with. ".
Experience:
3 years required
Skills:
Compliance, Legal, Risk Management
Job type:
Full-time
Salary:
negotiable
- Develop data security policy review, data security policy exceptions, and control risk mitigation processes.
- Define the security controls for access management lifecycle (i.e., requirement for creation, deletion, transfer and review).
- Operate:Advice on technology relating to Data Privacy and Protection (i.e., PDPA) related security controls implementation.
- Drive and support data security controls such as Data Loss Prevention (DLP), Data Masking, Data Encryption capabilities to protect sensitive data.
- Drive compliance (or collaborate with compliance team) to organization security policies, standards, metrics, and legal requirements.
- Communicate and enforce security policies, rules, and standards.
- Conduct impact assessment of data initiatives from a security point of view.
- Ensure the cryptographic keys and related components are safety and protection of confidential information.
- Resolve data security audit and risk findings.
- Review and develop security controls to current access controls policies and procedures.
- Provide requirements for create and manage roles, access rights (includes privileged access), authentication and identity within the environment.
- Conduct periodic review of user access.
- Review, approve and monitor the usage of privileged access.
- EDUCATION.
- Bachelor s degree in computer science, Information Systems, or equivalent education or work experience.
- EXPERIENCE.
- Work experience in privacy, compliance, information security, auditing or a related field may also be an accepted alternative, according to Cybersecurity.
- Minimum 3 years of experience in and strong knowledge of privacy, data, operational risk management, information security, or related areas in IT.
- OTHER REQUIREMENTS.
Job type:
Full-time
Salary:
negotiable
- SAP HR DM.
- About Accenture.
- We work with one shared purpose: to deliver on the promise of technology and human ingenuity. Every day, more than 775,000 of us help our stakeholders continuously reinvent. Together, we drive positive change and deliver value to our clients, partners, shareholders, communities, and each other.We believe that delivering value requires innovation, and innovation thrives in an inclusive and diverse environment. We acti ...
- Visit us at www.accenture.com.
- Equal Employment Opportunity Statement.
- All employment decisions shall be made without regard to age, race, creed, color, religion, sex, national origin, ancestry, disability status, veteran status, sexual orientation, gender identity or expression, genetic information, marital status, citizenship status or any other basis as protected by federal, state, or local law.
- Job candidates will not be obligated to disclose sealed or expunged records of conviction or arrest as part of the hiring process.
- Accenture is committed to providing veteran employment opportunities to our service men and women.
Skills:
Product Development, Statistics, English
Job type:
Full-time
Salary:
negotiable
- Drive the creation of robust business intelligence systems to provide insights that inform strategic decisions.
- Develop and implement data analytics solutions that improve business processes and customer experiences.
- Ensure the accuracy, integrity, and availability of data used for business intelligence and decision-making.
- Manage the deployment of big data technologies and tools to enhance data processing capabilities.
- Lead initiatives in big data analytics, ensuring the extraction of valuable insights from large, complex datasets.
- Oversee the implementation of predictive analytics and data discovery techniques to anticipate trends and opportunities.
- Guide the development and deployment of machine learning models and AI algorithms for various business applications.
- Stay abreast of the latest advancements in machine learning, AI, and data science to ensure the company remains competitive.
- Collaborate with IT and engineering teams to integrate AI solutions into existing systems and platforms.
- Work closely with cross-functional teams, including IT, marketing, product development, and operations, to drive data-driven decision-making.
- Bachelor's degree in engineering, computer science, math, physics, statistics, or another highly quantitative field, such as machine learning, business analytics, statistics, mathematics, or a related field.
- Solid understanding and hands on experience in machine learning and data mining.
- Experience with statistical programming languages and database software.
- Good knowledge of data structure and algorithms.
- Sensitive to data and business, passionate about technical challenges, have excellent critical thinking skills.
- Ability to think independently and communicate complex ideas to less technical persons.
- Excellent command of English in both verbal and written forms.
Skills:
Legal, Risk Management, Compliance
Job type:
Full-time
Salary:
negotiable
- Establish and maintain appropriate security measures for personal data protection to prevent unauthorized access, loss, alteration, or disclosure.
- Regularly review and update security measures to align with technological advancements and PDPA requirements.
- Ensure third-party vendors handling personal data comply with data protection regulations.
- Implement and oversee data retention and deletion processes per legal requirements.
- Develop a risk management system for PDPA compliance.
- Assess risks related to personal data processing, evaluate mitigation strategies, and audit IT systems for security compliance.
- Conduct periodic assessments of IT systems handling personal data.
- Evaluate the effectiveness of data protection measures in databases, applications, and information security frameworks.
- Bachelor s degree in Computer Science, IT Security, Management Information Systems, or a related field.
- 5-10 years of experience in Database Management, IT Security, or Data Privacy Compliance.
- Proficiency in database management (SQL Server, MySQL).
- Understanding of IT security, data governance or compliance frameworks.
- Location: BTS Ekkamai
- Working Day: Mon-Fri.
Job type:
Full-time
Salary:
negotiable
Greenline Synergy provides the design to simplify, standardize, and enhance the accessibility of the organization's data. Also cover the policies, procedures, standards, on how data is collected, stored and used on both online and offline infrastructure. This will improve the hospital capability to expand the service outside the hospital itself.
Skills:
Python, ASP.NET, .NET
Job type:
Full-time
Salary:
negotiable
- กำกับดูแล Data Pipelines ที่มีการใช้งานจริง และควบคุมงานการสร้าง Data Pipeline ใหม่ รวมถึงการดำเนินการตาม SLA ที่วางแผนร่วมกันกับทีมที่เกี่ยวข้อง.
- ศึกษาเทคโนโลยีใหม่ๆ เพื่อเป็นปรับปรุง Data Pipeline ให้สามารถตอบสนองผู้ใช้งาน รวมถึงความต้องการของทางธุรกิจให้ดีขึ้น.
- ศึกษาทำความเข้าใจระบบต่างๆที่ต้องนำข้อมูลมาจัดให้อยู่ในรูปแบบมาตรฐานและเก็บรวมกันเป็น Single source of truth รวมถึงศึกษาความต้องการใช้ข้อมูลของผู้บริหารในหน่วยธุรกิจ (business unit) ร่วมวางแผนโครงการ, นำเสนองบประมาณและแนวทางดำเนินงาน, นำเสนอข้อมูลทางเล ...
- ออกแบบ และพัฒนา Data Pipeline.
- ออกแบบ Data Pipeline ภายใต้การกำกับดูแลของผู้จัดการงานออกแบบและพัฒนาระบบฐานข้อมูล.
- กำกับดูแล Data Architecture และพัฒนา Data Pipeline.
- กำกับดูแลรับข้อมูลซึ่งมีทั้งแบบ data streaming และ data batch รวมถึงนำส่งข้อมูลให้กับ BU ต่างๆ.
- กำกับดูแลการทดสอบ Data Pipeline ที่ได้ วางแผนการขึ้นระบบของซอฟต์แวร์ร่วมกับผู้ใช้.
- กำกับดูแลการจัดทำเอกสาร คู่มือ การใช้งานซอฟต์แวร์ที่ได้พัฒนาและระบบที่เกี่ยวข้อง เพื่อเป็นเอกสารอ้างอิงการใช้งาน และอ้างอิงในการพัฒนาต่อยอดของซอฟต์แวร์.
- ประสานงานกับหน่วยงานที่เกี่ยวข้องเพื่อแก้ไขปัญหา หรือพัฒนาระบบ.
- กำกับดูแล Data Architecture รวมถึงการพัฒนา Data Pipeline ของเจ้าหน้าที่การออกแบบและพัฒนาระบบ.
- หากมีประสบการณ์ Data Modeling และสามารถออกแบบ Data Architecture ได้ พัฒนาโครงสร้างข้อมูลให้สอดคล้องกับความต้องการของหน่วยธุรกิจ สามารถทำ Logical / Physical Data Model และเข้าใจหลักการจัดการข้อมูล จะพิจารณาเป็นพิเศษ.
- ปริญญาตรีสาขาคอมพิวเตอร์หรือสาขาที่เกี่ยวข้อง.
- มีประสบการณ์ทางด้าน Data Engineer/ Data Architect อย่างน้อย 3 ปี.
- มีความเข้าใจในงาน Data Engineer สามารถทำ Data Pipeline ทั้งในรูปแบบ Batch และ Stream.
- สามารถเขียนและใช้งาน Python, ASP.net C#, MSSQL, MySql.
- สามารถเขียนและใช้งาน Golang, Kafka, Debezium CDC, Apache Airflow, Apache Spark, MongoDB (ถ้ามี).
- มีทักษะการใช้งาน Database.
- มีทักษะในการใช้ SQL.
- มีทักษะในการใช้ Pivot Table.
- มีทักษะในการทำ Performance Tuning ของระบบฐานข้อมูล.
- มีทักษะ Critical thinking and Problem solving.
- ติดต่อสอบถาม.
- สำนักทรัพยากรบุคคล.
- บริษัท ไทยเบฟเวอเรจ จำกัด (มหาชน).
- อาคารเล้าเป้งง้วน 1 333 ถนน วิภาวดีรังสิต จอมพล เขตจตุจักร กรุงเทพมหานคร 10900.
Skills:
Power BI, Statistics, Data Analysis
Job type:
Full-time
Salary:
negotiable
- Apply best practices in data visualization to create clear, concise, and impactful visuals. Optimize dashboard performance for speed and efficiency.
- Identifies and utilizes the customer data as an insight to provide executive summary report, including provide the analysis with the recommendation.
- Collaborate with commercial team to ensure that Power BI solutions meet their needs.
- Provide training and support to end-users on how to effectively utilize Power BI dashboards and reports.
- Manage and prepare ad hoc reports and analysis as required..
- Bachelor s / Master degree in Data Science, Mathematics, Statistics, Computer Science, Business Administration, Engineering, or other quantitative field.
- 6-7 years of relevant experience in a data analytics or power bi developer will be considered.
- Strong proficiency in Microsoft Power BI. Experience with data modeling, DAX (Data Analysis Expressions), and Power Query (M language).
- Solid understanding of data visualization principles and best practices.
- Strong communication and presentation skills, with the ability to explain technical concepts to non-technical audiences.
- Hands-on experience with databases such as SAP, SQL, and statistical tools such as R, Python.
- Self-driven individual with strong will to learn, tackle the unknowns and contribute to the team and organization.
Job type:
Full-time
Salary:
negotiable
- ปฎิบัติงานยัง บริษัท Infinitas by Krungthai.
- We are seeking a highly skilled Data Management Specialist to join our team. The ideal candidate will be responsible for managing and analyzing large data, ensuring data integrity, and developing data management solutions to optimize our operations.
- Design, develop, and maintain data mart and pipeline to ensure accessibility and reliability of data.
- Utilize SQL to perform complex queries, data extraction, and manipulation.
- Analyze and interpret large datasets to identify trends and insights that drive business decisions.
- Ensure data quality, integrity, and security across all managed databases.
- Collaborate with cross-functional teams to understand data needs and deliver effective data management
- solutions.
- Implement and monitor data management policies and procedures.
- Optimize database performance and troubleshoot issues as they arise.
- Leverage big data technologies such as Spark to process and analyze large datasets.
- Develop and maintain ETL processes to ensure seamless data flow between systems.
- Work with cloud platforms such as Google Cloud and AWS to manage and store data securely.
- Required Skills and Qualifications
- Proficiency in SQL: Expertise in writing and optimizing complex SQL queries.
- Problem-solving and analytical skills: Strong ability to analyze data and derive actionable insights.
- Familiarity with cloud platforms: Experience with platforms such as Google Cloud and AWS.
- Database management systems: Hands-on experience with systems like MySQL.
- Big data technologies: Experience with technologies such as Spark.
- Python programming: Proficiency in Python for data manipulation and analysis.
- Strong communication and collaboration skills to work effectively with cross-functional teams.
- Attention to detail and commitment to maintaining high data quality standards.
- Ability to manage multiple projects and prioritize tasks in a fast-paced environment.
- Education & Experience
- Bachelor s degree or higher in Statistics, Computer Science, Mathematics, or related field
- Minimum 3 years experience in retail lending or similar role
- Additional Requirements
- Experience with data visualization tools (Tableau, Power BI)
- Ability to work collaboratively with cross-functional teams.
- You have read and reviewed Infinitas By Krungthai Company Limited's Privacy Policy at https://krungthai.com/Download/download/DownloadDownload_73Privacy_Policy_Infinitas.pdf. The Bank does not intend or require the processing of any sensitive personal data, including information related to religion and/or blood type, which may appear on copy of your identification card. Therefore, please refrain from uploading any documents, including copy(ies) of your identification card, or providing sensitive personal data or any other information that is unrelated or unnecessary for the purpose of applying for a position on the website. Additionally, please ensure that you have removed any sensitive personal data (if any) from your resume and other documents before uploading them to the website.
- The Bank is required to collect your criminal record information to assess employment eligibility, verify qualifications, or evaluate suitability for certain positions. Your consent to the collection, use, or disclosure of your criminal record information is necessary for entering into an agreement and being considered for the aforementioned purposes. If you do not consent to the collection, use, or disclosure of your criminal record information, or if you later withdraw such consent, the Bank may be unable to proceed with the stated purposes, potentially resulting in the loss of your employment opportunity with. ".
Experience:
5 years required
Skills:
Project Management, Quality Assurance, Assurance
Job type:
Full-time
Salary:
negotiable
- Bachelor's degree or equivalent practical experience.
- 5 years of experience in program or project management.
- Experience with Quality Control and Quality Assurance, or Commissioning Programs.
- Experience with operational metrics reporting (e.g., availability, reliability, time to market, productivity, safety, security, quality, cost management, performance, energy-use, water-use and predictability).
- Master's degree in Civil, Electrical, Mechanical or Industrial Engineering, Architecture, Organizational Design, Construction Management, or a related field.
- Experience in the construction of hyperscale data centers.
- Experience working in cross-discipline teams: structural, civil, IT/Telecom, security, mechanical, architectural.
- Knowledge of data center structural, electrical, mechanical, and controls equipment.
- Understanding of electrical and mechanical systems in a data center environment.
- Ability to travel domestically and internationally as needed.
- A problem isn t truly solved until it s solved for all. That s why Googlers build products that help create opportunities for everyone, whether down the street or across the globe. As a Program Manager at Google, you ll lead complex, multi-disciplinary projects from start to finish working with stakeholders to plan requirements, manage project schedules, identify risks, and communicate clearly with cross-functional partners across the company. Your projects will often span offices, time zones, and hemispheres. It's your job to coordinate the players and keep them up to date on progress and deadlines.
- Our goal is to build a Google that looks like the world around us and we want Googlers to stay and grow when they join us.
- As a Program Manager, you will work directly with our portfolio of project management consultants, general contractors, electrical/mechanical trades organizations, key integrators and manufacturers, quality and commissioning agents to ensure the successful implementation of the construction quality program, and reduce costs of poor quality in our construction projects.
- The Data Center team designs and operates some of the most sophisticated electrical and HVAC systems in the world. We are an upbeat, creative, team-oriented group of engineers committed to building and operating powerful data centers.
- Source quality and commissioning agents and onboard project stakeholders. Engage in pre-qualification evaluations of potential vendors or contractors.
- Set/communicate quality standards/expectations.
- Monitor and oversee the implementation of all construction quality and commissioning processes by our project management consultants, general contractors, electrical/mechanical trades, quality, and commissioning agents.
- Act as the subject matter expert for the Construction Quality Program. Work and collaborate on regional or global initiatives to improve the Construction Quality Program.
- Report the quality and commissioning status for the full life cycle of the construction project. Identify risks to a project and developing mitigation strategies with the project team.
- Google is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. See also Google's EEO Policy and EEO is the Law. If you have a disability or special need that requires accommodation, please let us know by completing our Accommodations for Applicants form.
Job type:
Full-time
Salary:
negotiable
- ปฏิบัติงานยัง บริษัท Infinitas by Krungthai
- We are seeking a Data Scientist specializing in credit decision engine development to drive data-driven lending decisions and risk assessment. The ideal candidate will combine strong analytical skills with deep understanding of credit process.
- Model Development & Deployment
- Develop and maintain credit risk assessment and lending decisions modules
- Expertise for handling large financial databases and credit data manipulation
- Design and implement credit-risk decisioning model solutions using API-based frameworks (e.g., Flask,
- Fast API) or event-driven architecture (e.g., Kafka, Pub/Sub), along with other suitable technologies
- Monitor model performance to ensure high accuracy and reliability in credit decisions Data Analysis & Risk Assessment
- Clean and preprocess financial datasets, particularly credit lending and risk data
- Conduct advanced statistical analyses to support risk assessment and lending decisions.
- Technical Skills
- Proficiency in Python, SQL, and machine learning libraries (TensorFlow, PyTorch, Scikit-Learn)
- Experience with cloud platforms (AWS,GCP) for model deployment
- Knowledge of statistical and machine learning techniques for risk modeling Domain Expertise
- Understanding of credit lending and risk assessment principles
- Experience in financial data analysis within regulatory constraints
- Proven track record in developing credit decision engines (optional)Education & Experience
- Bachelor s degree or higher in Statistics, Computer Science, Mathematics, or related field
- Minimum 3 years experience in retail lending or similar role Additional Requirements
- Strong communication skills for presenting complex findings and process flow to management
- Experience with data visualization tools (Tableau, Power BI)
- Ability to work collaboratively with cross-functional teams.
- You have read and reviewed Infinitas By Krungthai Company Limited's Privacy Policy at https://krungthai.com/Download/download/DownloadDownload_73Privacy_Policy_Infinitas.pdf. The Bank does not intend or require the processing of any sensitive personal data, including information related to religion and/or blood type, which may appear on copy of your identification card. Therefore, please refrain from uploading any documents, including copy(ies) of your identification card, or providing sensitive personal data or any other information that is unrelated or unnecessary for the purpose of applying for a position on the website. Additionally, please ensure that you have removed any sensitive personal data (if any) from your resume and other documents before uploading them to the website.
- The Bank is required to collect your criminal record information to assess employment eligibility, verify qualifications, or evaluate suitability for certain positions. Your consent to the collection, use, or disclosure of your criminal record information is necessary for entering into an agreement and being considered for the aforementioned purposes. If you do not consent to the collection, use, or disclosure of your criminal record information, or if you later withdraw such consent, the Bank may be unable to proceed with the stated purposes, potentially resulting in the loss of your employment opportunity with.".
Job type:
Full-time
Salary:
negotiable
- ปฎิบัติงานยัง บริษัท Infinitas by Krungthai
- We seek a skilled Data Scientist to enhance banking through advanced analytics and machine learning. Main responsibility will be transformed complex data into actionable insights and models for risk management, fraud detection, and customer experience optimization. Collaborate with cross-functional teams to implement data-driven strategies that improve business performance and risk management.
- Data Analysis and Modeling
- Develop predictive models for risk assessment and market analysis.
- Design machine learning algorithms for classification, regression and fraud detection.
- Create automated systems for customer behavior analysis.
- Strategic Leadership
- Identify opportunities for data-driven solutions with stakeholders.
- Present analytical findings to executive management.
- Education and Experience
- Bachelor s Degree or higher in Computer Science, Statistics, Mathematics, Engineer or related field.
- Minimum 2 years of experience in financial data science.
- Technical Skills
- Proficiency in Python, and SQL.
- Strong data analysis skills.
- Solid understanding of statistical analysis and modeling techniques.
- Excellent problem-solving skills and attention to detail.
- Strong communication skills, with the ability to explain complex concepts to non-technical stakeholders.
- Domain Knowledge
- Understanding financial markets and banking operations.
- Financial modeling and quantitative analysis expertise.
- Understanding basic fraud detection and anomaly detection.
- You have read and reviewed Infinitas By Krungthai Company Limited's Privacy Policy at https://krungthai.com/Download/download/DownloadDownload_73Privacy_Policy_Infinitas.pdf. The Bank does not intend or require the processing of any sensitive personal data, including information related to religion and/or blood type, which may appear on copy of your identification card. Therefore, please refrain from uploading any documents, including copy(ies) of your identification card, or providing sensitive personal data or any other information that is unrelated or unnecessary for the purpose of applying for a position on the website. Additionally, please ensure that you have removed any sensitive personal data (if any) from your resume and other documents before uploading them to the website.
- The Bank is required to collect your criminal record information to assess employment eligibility, verify qualifications, or evaluate suitability for certain positions. Your consent to the collection, use, or disclosure of your criminal record information is necessary for entering into an agreement and being considered for the aforementioned purposes. If you do not consent to the collection, use, or disclosure of your criminal record information, or if you later withdraw such consent, the Bank may be unable to proceed with the stated purposes, potentially resulting in the loss of your employment opportunity with.".
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