Filter Jobs

Skills:

Excel, Work Well Under Pressure, Creativity, English

Job type:

Full-time

• Bachelor or Master's degree in Marketing or a related field.
• At least 3-5 years experience in Marketing.
• Good command of English in both speaking and writing skills.
• Computer literacy in MS Office (Word, Excel, PowerPoint).
• Accountability, team player, enthusiasm and work well under pressure.
• Well organized, creativity, communication, and multi-task skills.

Skills:

Research, Statistics, Python, English

Job type:

Full-time

• Apply statistical and machine learning methods to large, complex data sets to draw insights and provide actionable recommendations.
• Solve complex problems on both technical and business sides using advanced analytical methods.
• Work with Engineering teams to implement end-to-end process from model development to testing, validation, and deployment.
• Research and develop new quantitative models and frameworks to enhance the company s data science capability.
• Basic Qualifications Bachelor s 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).
• Knowledge in statistics (e.g., hypothesis testing, regression) and machine learning.
• Strong analytical problem-solving capabilities.
• Preferred Qualifications Master s or PhD degree in a quantitative discipline.
• Experience applying machine learning and statistical methods to large datasets.
• Solid understanding of advanced statistics and machine learning practices.
• Experience in one or more specialized machine learning areas (e.g., NLP, deep learning, recommendation systems, reinforcement learning).
• Outstanding coding skills or software development background.
• Ability to think independently and communicate complex ideas to less technical persons.
• Excellent command of English in both verbal and written forms.
• 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.

Experience:

7 years required

Skills:

Project Management, Scrum, Product Owner

Job type:

Full-time

• Bachelor s degree in Business Administration, Innovation Management, Computer Science, Data Science, or a related field.
• At least 7 years of experience managing projects, with at least 2 years focused on innovation, digital transformation, or emerging technologies.
• Proven experience in end-to-end project management, including planning, execution, monitoring, and delivery.
• Experience working with project management tools such as JIRA, Trello, Asana, or MS Project.
• Knowledge of data analytics frameworks, predictive models, and data-driven decision-making methodologies.
• Understanding of emerging technologies (e.g., AI, machine learning, Generative AI, IoT) and innovation frameworks.
• Strong analytical, problem-solving, and decision-making skills.
• Excellent stakeholder management, communication, and presentation skills.
• Ability to work in a fast-paced, agile environment with cross-functional teams.
• Certifications: PMP, Prince2, Agile (Scrum Master, Product Owner), or Design Thinking certifications.
• You have read and reviewed Krung Thai Bank Public Company Limited's Privacy Policy at https://krungthai.com/th/content/privacy-policy. The Bank does not intend or require the processing of any sensitive personal data, including information related to religion and/or blood type, which may appear on copy of your identification card. Therefore, please refrain from uploading any documents, including copy(ies) of your identification card, or providing sensitive personal data or any other information that is unrelated or unnecessary for the purpose of applying for a position on the website. Additionally, please ensure that you have removed any sensitive personal data (if any) from your resume and other documents before uploading them to the website. The Bank is required to collect your criminal record information to assess employment eligibility, verify qualifications, or evaluate suitability for certain positions. Your consent to the collection, use, or disclosure of your criminal record information is necessary for entering into an agreement and being considered for the aforementioned purposes. If you do not consent to the collection, use, or disclosure of your criminal record information, or if you later withdraw such consent, the Bank may be unable to proceed with the stated purposes, potentially resulting in the loss of your employment opportunity with the Bank. .

Skills:

Statistics, Python, SQL

Job type:

Full-time

• Bachelor s or Master s degree in Computer Science, Data Science, Statistics, Mathematics, Engineering, or a related field.
• 7+ years of experience in data science, machine learning, and predictive analytics, preferably in the banking or financial services industry.
• Strong expertise in Python, R, SQL, and big data frameworks (Spark, Hadoop).
• Hands-on experience with ML/DL frameworks (TensorFlow, PyTorch, Scikit-learn).
• Proven track record of developing and deploying ML models in production environments.
• Experience working with cloud platforms (AWS, Azure, GCP) and MLOps tools.
• Strong knowledge of statistical modeling, time-series forecasting, NLP, and deep learning techniques.
• Excellent problem-solving skills and ability to communicate complex data insights to non-technical stakeholders.
• Experience in credit risk modeling, fraud detection, or financial forecasting.
• Knowledge of graph analytics, reinforcement learning, or advanced optimization techniques.
• You have read and reviewed Krung Thai Bank Public Company Limited's Privacy Policy at https://krungthai.com/th/content/privacy-policy. The Bank does not intend or require the processing of any sensitive personal data, including information related to religion and/or blood type, which may appear on copy of your identification card. Therefore, please refrain from uploading any documents, including copy(ies) of your identification card, or providing sensitive personal data or any other information that is unrelated or unnecessary for the purpose of applying for a position on the website. Additionally, please ensure that you have removed any sensitive personal data (if any) from your resume and other documents before uploading them to the website. The Bank is required to collect your criminal record information to assess employment eligibility, verify qualifications, or evaluate suitability for certain positions. Your consent to the collection, use, or disclosure of your criminal record information is necessary for entering into an agreement and being considered for the aforementioned purposes. If you do not consent to the collection, use, or disclosure of your criminal record information, or if you later withdraw such consent, the Bank may be unable to proceed with the stated purposes, potentially resulting in the loss of your employment opportunity with the Bank. .

Skills:

Employer Branding, Branding, Automation

Job type:

Full-time

• Collect, clean, and integrate HR data from various sources, including HRMS, Excel, Google Sheets, and text files, to ensure accurate and reliable data for analysis.
• Develop and maintain HR analytical reports and dashboards, including executive dashboards, that support decision-making across HR areas, such as turnover analysis, Manpower, employer branding activities, etc.
• Implement HR automation processes to streamline data workflows.
• Coordinate and execute project-related data analytics tasks and ad-hoc projects, ensuring timely and accurate completion.
• Stay updated on emerging technologies, especially AI, to enhance HR data solutions.
• Education: Bachelor s Degree in IT, Computer Science, Computer Engineering, Data Analytics, or a related field. An advanced degree in a relevant area is a plus.
• Dashboard Tools: Proficiency in creating and managing interactive dashboards using Power BI Desktop, Power BI Service, Looker Studio, and Excel.
• Data Analysis Tools: Strong experience in data analysis and transformation using Power Query, SQL, and Python, including data extraction, transformation, and query optimization.
• Application Tools: Knowledge of and experience with no-code/low-code platforms (e.g., Power Apps, AppSheet) for creating applications and automating workflows.
• Project Management: Proven ability to manage multiple projects simultaneously, adapt to fast-paced environments, and consistently meet deadlines.
• Communication Skills: Strong verbal and written communication skills, with the ability to present complex, data-driven insights in a clear and impactful manner to non-technical stakeholders.

Skills:

Business Development, Creative Thinking, Project Management, English

Job type:

Full-time

• Strong analytical and problem-solving skills to identify commercial opportunity.
• Working well in a cross-disciplinary team with different types of stakeholders (IT, Agency, Business, Management).
• Business Development of Data Intelligence for corporate strategy.
• Analyze internal and external data in various aspects to identify threats & opportunities and provide information/report for management or related business unit team to plan activities and strategies.
• Participate in the initiative's development plan of business unit / brand plans and align with corporate strategy, objectives and KPIs.
• Coordinate and consolidate with the related department to implement a project or tracking the project progress and provide corrective supervision if necessary.
• Create and deliver insights report on new ideas to the management team or business units and seek appropriate decisions, directions, and approvals.
• Bachelor s or Master s degree in business or related field of study.
• Minimum 5-8 years Performance Management function / Commercial Analyst roles.
• Experience in corporate/channel/brand/segment strategy.
• Experience working in Data Analytic related projects.
• Excellent analytical and problem-solving skills.
• Ability to apply logical and creative thinking to solve complex business problems.
• Ability to define the problems and frame answers in a logical and structured manner.
• Good project management, team leadership and sense of ownership.
• Good co-ordination skill with positive attitude and ability to work under pressure.
• Strong communications, customer relationship and negotiation skills.
• Good command of both written and spoken English.
• TECHNICAL SKILLS: Basic understanding of data ecosystem, Advanced skills in dashboard and BI tools.
• Conceptual knowledge of data and analytics, ETL, reporting tools, data governance, data warehousing, structured and unstructured data.

Skills:

Power BI, Excel, Microsoft Office

Job type:

Full-time

• วิเคราะห์ และจัดทำรายงานเปรียบเทียบข้อมูล ต่างๆ เช่น รายวัน, รายเดือน, รายปี โดยเปรียบเทียบกับข้อมูลในอดีตเป้าหมาย และการประมาณการในอนาคต เพื่อนำเสนอผู้บริหาร.
• จัดทำงบประมาณประจำปีในส่วนของ ยอดขาย และค่าใช้จ่ายส่งเสริมการขาย.
• จัดทำรายงานสรุป Profit & Loss ประจำเดือนในมุมมองบริหารฯ เพื่อนำเสนอผู้บริหาร.
• จัดทำฐานข้อมูลตามแนวทางต่างๆ เพื่อสนับสนุน การคำนวณ/การทำรายงานของส่วนงานอื่นๆ ที่เกี่ยวข้อง เช่น เป้าหมายการจ่ายเงินจูงใจให้กับพนักงาน, เป้าหมายการจ่ายเงินรางวัล เป็นต้น.
• ออกแบบ Dashboard สำหรับข้อมูลด้านต่างๆ ที่เกี่ยวข้อง ให้ผู้ใช้งานเข้าใจ และสามารถนำไปใช้ได้ง่าย เช่น Power BI.
• ออกแบบ Template ให้ส่วนงานต่างๆที่เกี่ยวข้อง เพื่อรองรับการทำงานในการรวบรวมข้อมูล เพื่อช่วยให้การทำงาน ได้ผลลัพธ์ที่รวดเร็วขึ้น.
• วิเคราะห์ข้อมูลอื่น ๆ ที่เกี่ยวข้อง ตามที่ได้รับมอบหมาย.
• ให้คำแนะนำในกาวิเคราะห์ข้อมูล แก่หน่วยงาน ต่าง ๆ ที่มีการใช้งานข้อมูล.
• งานอื่น ๆ ที่ได้รับมอบหมาย.
• มีทักษะในการใช้คอมพิวเตอร์โปรแกรม MS Excelขั้นสูง.
• มีทักษะการใช้คอมพิวเตอร์อื่นๆ ได้เป็นอย่างดี: Microsoft Office; Word, Power Point.
• มีความสามารถทางการวิเคราะห์ การวางแผน และการจัดการอย่างเป็นระบบ และมีมาตรฐานในการทำงาน.
• มีทักษะในการสื่อสาร และความสามารถ ในการเจรจา ต่อรอง.
• มีความสามารถในการเรียนรู้สิ่งใหม่ ๆ ได้รวดเร็ว.
• มีทักษะในการนำเสนองาน.
• มีทักษะในการใช้ Power BI (ถ้ามี).
• มีความรู้พื้นฐานด้านการเขียนโปรแกรมต่าง ๆ (ถ้ามี).
• ติดต่อสอบถาม.
• บริษัท โมเดิร์นเทรด แมนเนจเม้นท์ จำกัด.
• อาคารเล้าเป้งง้วน 1 ชั้น 26 ถนนวิภาวดีรัสิต แขวงจอมพล เขตจตุจักร แขวงจอมพล เขตจตุจักร จังหวัดกรุงเทพมหานคร.

Skills:

Tableau, Big Data, SQL

Job type:

Full-time

• Gathering, understanding, and analyzing detailed business requirements using appropriate tools and techniques.
• Identify trends and opportunities for growth through analysis of complex data sets.
• Create best-practice ongoing reports/dashboards based on data mining, analysis, and visualization.
• Use data to answer key questions about the business.
• Deliver takeaways from data with statistical significance.
• Experience using business intelligence or data visualization tools (e.g. Tableau, PowerBI).
• Able to analyze trends and patterns for solving business insight problems in big data by working with business users and data scientists/data engineers.
• Proficient in using SQL languages.
• Excellent in Microsoft Excel (e.g. Pivot table, vlookup) and PowerPoint.
• Strong analytical skills with the ability to collect, organize, analyze, and disseminate significant amounts of information with attention to detail and accuracy.
• Data-oriented personality, great communication skills, and an excellent eye for detail.

Job type:

Full-time

• Bachelor s Degree in Information Technology, Computer Science or another relevant field.
• At least 1-year related work experience in Data Migration or Implementation.
• Knowledge and working experience in handling SAP MM, FI or SD module.

Skills:

SAP

Job type:

Full-time

• Design, build and configure applications to meet business process and application requirements.
• Keep abreast of current and emerging SAP technologies and trends and assist in the selection of robust and appropriate technologies.
• Design and deliver retail-specific processes and end to end functional configuration in SAP.
• Demonstrate technical expertise in end-to-end configuration of sales and supply chain processes in SAP (or S/4 HANA).
• At least 1 year of experience as SAP SD Consultant.
• Degree in Information Technology, Computer Science or another relevant field.
• Hands on experience in Implementation or Data Migration is a must.
• Experience in data migration is a must.

Skills:

Compliance, Product Development, Research

Job type:

Full-time

• Develop, implement, and enhance data privacy policies, procedures, and frameworks to ensure regulatory compliance.
• Collaborate with internal and external stakeholders to integrate privacy requirements into business operations and new initiatives.
• Provide guidance on privacy-related considerations in product development, partnerships, and third-party engagements.
• Lead and conduct regular audits, risk assessments, and compliance reviews to ensure adherence to data privacy laws, regulations, and internal policies.
• Identify compliance gaps, recommend corrective actions, and oversee the implementation of remediation efforts.
• Maintain records of compliance activities and support reporting to senior management and regulatory bodies.
• Investigate, document, and manage data privacy incidents, including breaches, and support resolution efforts in collaboration with relevant teams.
• Assist in preparing reports for regulatory authorities, executive leadership, and internal reviews.
• Develop and enhance incident response protocols and escalation procedures.
• Conduct in-depth research on data privacy laws, emerging regulatory trends, and industry best practices across multiple jurisdictions.
• Provide legal analysis and recommendations to support policy updates and business decision-making.
• Monitor legislative developments and assess their impact on the organization.
• Design and deliver training programs to promote data privacy awareness and compliance across all levels of the organization.
• Create educational materials, guidelines, and internal communications to reinforce data protection best practices.
• Act as a subject matter expert and advisor on privacy-related concerns.
• Bachelor s degree in Law. A Master s degree or relevant certification.
• 3-6 years of experience in data privacy, compliance, legal advisory, or risk management roles.
• Strong understanding of data protection regulations such as GDPR, PDPA, CCPA, or other relevant laws.
• Experience conducting audits, risk assessments, and privacy impact assessments (PIAs).
• Remark: Given the nature of the mentioned position, where employees are involved with customer data and asset values, and/or the company, to comply with legal and regulatory standards established by the Securities and Exchange Commission, as well as to align with laws and overseeing agencies, the company requires a criminal background check as part of the post-interview process before joining the company. Your criminal history information will be retained for a period of 6 months from the start date..
• Important: Candidate Privacy Policy.
• สำคัญ:โปรดอ่านและทำความเข้าใจ: นโยบายความเป็นส่วนตัวด้านทรัพยากรบุคคล สำหรับผู้สมัครงาน และผู้สมัครเข้าฝึกงาน*.
• Don't forget to 'Like' and 'Follow' our social media channels so you won't miss any news from us. Click.

Job type:

Full-time

• About TikTokTikTok is the leading destination for short-form mobile video. At TikTok, our mission is to inspire creativity and bring joy. TikTok's global headquarters are in Los Angeles and Singapore, and its offices include New York, London, Dublin, Paris, Berlin, Dubai, Jakarta, Seoul, and Tokyo. Why Join UsCreation is the core of TikTok's purpose. Our products are built to help imaginations thrive. This is doubly true of the teams that make our innovations possible. Together, we inspire creativity and enrich life - a mission we aim towards achieving every day. To us, every chall ...
• Minimum Qualifications-Bachelor degree or above, graduate degree is preferred, math, statistics, computer-related majors are preferred, strong capability of data analytics is required;-experience in research and analysis positions in consulting, e-commerce/ads is preferred. Preferred Qualifications-Outstanding reasoning capability and logic, with good problem solving methodologies, being able to independently output quality strategic solutions, strong learning and adaptive ability, strategic framework thinking, sensitivity and insight into the business;-Have some strategic thinking capacity, able to quickly understand the business and discover the connection between business and data performance;-Proficiency in SQL for data analysis, understanding of common statistical and analytical methods, and skills in BI visualization tools such as Tableau/Power BI is a plus;-Fast learner, passionate about participating in business, and able to adapt to high intensity and fast growth work environment.TikTok is committed to creating an inclusive space where employees are valued for their skills, experiences, and unique perspectives. Our platform connects people from across the globe and so does our workplace. At TikTok, our mission is to inspire creativity and bring joy. To achieve that goal, we are committed to celebrating our diverse voices and to creating an environment that reflects the many communities we reach. We are passionate about this and hope you are too.By submitting an application for this role, you accept and agree to our global applicant privacy policy, which may be accessed here: https://careers.tiktok.com/legal/privacy.If you have any questions, please reach out to us at [email protected].

Skills:

Assurance

Job type:

Full-time

• Develop and analyze Enterprise Service revenue to understand Product and Service trends within the AIS Group, ensuring that revenue collection, promotion packages, and new services are properly executed according to the company s business conditions.
• Identify suitable QA methods to reduce revenue loss and prevent errors in the Line Operation's work, sharing knowledge to strengthen revenue assurance.
• Verify the completeness and accuracy of service calculations, promotion packages, and offerings for corporate customers.
• Review the calculation of Postpaid Voice and IDD services, as well as IR services in the RBM system, ensuring they are correct, complete, and in line with the rates and conditions set by the company, with no abnormalities that could lead to revenue loss (Real Loss/Opportunity Loss).
• Communicate, coordinate, and follow up on issues causing revenue loss, identify the root causes, and work with relevant departments to resolve the problems, reducing revenue loss, particularly in Voice services.
• Analyze data from various sources within the scope of responsibility using data analytics skills, reflecting trends, performance, efficiency, and effectiveness of Products and Services. Identify abnormalities impacting revenue loss (Real Loss/Opportunity Loss & Fraud), and conduct audits and monitoring.
• Prepare analysis reports to support management strategies and assess risks in various areas.
• Perform other duties as assigned by the supervisor.

Skills:

Big Data, Research, Statistics

Job type:

Full-time

• Design, code, experiment and implement models and algorithms to maximize customer experience, supply side value, business outcomes, and infrastructure readiness.
• Mine a big data of hundreds of millions of customers and more than 600M daily user generated events, supplier and pricing data, and discover actionable insights to drive improvements and innovation.
• Work with developers and a variety of business owners to deliver daily results with the best quality.
• Research discover and harness new ideas that can make a difference.
• What You'll Need to Succeed.
• 4+ years hands-on data science experience.
• Excellent understanding of AI/ML/DL and Statistics, as well as coding proficiency using related open source libraries and frameworks.
• Significant proficiency in SQL and languages like Python, PySpark and/or Scala.
• Can lead, work independently as well as play a key role in a team.
• Good communication and interpersonal skills for working in a multicultural work environment.
• It's Great if You Have.
• PhD or MSc in Computer Science / Operations Research / Statistics or other quantitative fields.
• Experience in NLP, image processing and/or recommendation systems.
• Hands on experience in data engineering, working with big data framework like Spark/Hadoop.
• Experience in data science for e-commerce and/or OTA.
• We welcome both local and international applications for this role. Full visa sponsorship and relocation assistance available for eligible candidates.
• 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.

Skills:

Statistics, Research, Finance

Job type:

Full-time

• Engage stakeholders to understand business problems and customize analytic and predictive model solutions to business needs.
• Solve problems using advanced statistical techniques including, but not limited to regression/logic regression, bootstrap, factor analysis, decision tree, clustering & binning, and basket analysis.
• Conduct exploratory data profiling techniques, common summary descriptive statistics, etc.
• Develop and maintain expertise in a wide range of new technologies, methodologies, and techniques facilitating advanced research, decision sciences, and systems engineering.
• Support the design and management of market and product experiments and pilots to test hypotheses or generate test and control observation data.
• Partner with Technology, Product Management, Engineering, Marketing, Sales, and Finance teams to deliver solutions for clients and into the operation.
• Build and lead a team of analysts, while initially serving as an individual contributor.
• Lead projects with moderate complexity.
• Engage internal customers to understand problems and customize analytic and predictive model solutions to business needs.
• Bachelor's or Master's in Mathematics, Science, Statistics or related Technical field; or Equivalent related professional experience (e.g. driving significant and sustained change and performance improvement from data-driven insights).
• Demonstrates statistical competency and requires limited supervision.
• Familiar with SQL, Python, or R, or any other major data analysis programming language.
• Experience working in the fundamentals of big data architecture (streaming events, data lakes, analytics engines) and relational database models.
• Display strong domain knowledge, business acumen, and critical reasoning skills.
• Strong skills in Excel, PowerPoint, and statistical/data processing software packages and programming languages (e.g. SAS, R, SQL, SPSS, etc.).
• Mines data sets using sophisticated analytical techniques to generate insights and inform business decisions.
• Identifies and tests hypotheses, ensuring statistical significance through experimental design and builds predictive models for business application, product development, etc.
• Translates quantitative analyses and findings into accessible visuals for all stakeholders and multiple audiences, and provide clear view into interpreting data.
• Ability to work in and among cross functional teams.

Skills:

Data Analysis, Big Data, SQL, English

Job type:

Full-time

• Analyze Internal Data such as Traffic, Car Parking, Wi-Fi, Customer (Local & Global Citizen), Promotion, Loyalty Program Proposition, Member data and tenants including the new business data sets in the future to understand the customer insight in depth.
• Bring insights from Data Scientist to analyze to find the business opportunities, process improvement and find new initiate new business ideas for sales and revenue increase including enhancing Customer Engagement.
• Analyze to find the customer need and insights from consolidating existing data. This is to keep tracking on the consumer behavior and consumer preference so that the company can present the proper products, services and marketing communications according to each customer target group.
• Analyze the business data in depth for marketing campaigns by both Offline and Online channels to accomplish the expected objectives.
• Analyze the data on return of investment from marketing activities and Loyalty Programs, this would enhance learning curve on investment for Marketing and extend the business ideas for all related stakeholders to work effectively.
• Support internal parties in terms of providing data analysis from Analytics products of all properties, ONESIAM Super App to drive the data-led organization.
• Verify and ensure the quality of the data before distributing to internal parties to be accurate, updated and effective enough preparing for data analysis.
• Manage a small group member on data analyst.
• Perform other tasks as assigned.
• Graduated from Bachelor or Master Degree in Business, Computer Science, Engineering or other related fields.
• At least 10 years of strong experience in Data Analysis for big data.
• Able to use analytic tools such as SQL, Python, PySpark, etc.
• Good at storytelling for the data analysis.
• Good command in English.
• Experience in manage a small of members before.
• Possess detail-oriented, communication, analytical, strategic thinking skills.

Experience:

6 years required

Skills:

Finance, Data Analysis, Excel

Job type:

Full-time

• Work closely with a diverse set of stakeholders in Finance and other parts of the organization.
• Consult stakeholders to propose the best suited data solution.
• Build end-to-end solutions including data workflows, dashboards, reports etc.
• Become familiar with financial data ecosystem at Agoda.
• Help the Finance Analytics team drive value for the Finance department and Agoda as a whole.
• Undergraduate degree.
• 6+ years of leadership experience in analytics/data science/insights/strategy.
• 3+ years' experience leading analytics, operational, product or other technical teams.
• Expert domain of data analysis and data visualization tools and software such as Excel, SQL, Tableau, Python, R, or similar.
• Experience in ETL tools, data modelling and have proficient knowledge of SQL and Relational Databases: the ability to write, execute and interpret queries is essential.
• Quick learner, problem-solving aptitude, effective prioritization, proactive and strong attention to detail.
• High sense of ownership and growth mindset, ability to be self-directed.
• Ability to understand business questions/requests and be able to suggest proper BI solutions which are measurable and scalable.
• Excellent communication skills and ability to influence peers and build strong relationships within Finance and cross-functionally.
• Experience in articulating strategic issues and negotiating with C-level executives - experience in leading strategy consulting projects a plus.
• People management - track record of developing stars.
• Ability and willingness to drive projects independently, working efficiently to deliver results rapidly and engaging the relevant stakeholders throughout the process.
• Accounting/Financial knowledge and commercial acumen.
• Master's degree in statistics, economics, mathematics or similar discipline.
• Solid technical/functional knowledge in statistics.
• Familiarity with scrum/agile methodology.
• Other helpful skills - T-SQL, batch scripting, ODBC, data mining, Hadoop.
• Experience with Wallet and Financial Payment systems, including integration and data analysis.
• Understanding of digital payment processes and financial transaction data.
• 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.

Skills:

ETL, Compliance, SQL

Job type:

Full-time

• Design, develop, and maintain data pipelines to extract, transform, and load (ETL) data from various sources into a centralized data warehouse or data lake.
• Integrate data from different sources, such as databases, APIs, and third-party applications, ensuring data consistency and accuracy.
• Create and maintain data models and schemas to facilitate data storage and retrieval, following best practices for data warehousing and database management.
• Implement data quality checks and validation processes to ensure data accuracy, completeness, and consistency.
• Optimize data pipelines and systems for performance, scalability, and efficiency, making sure data processing meets business requirements.
• Implement data security measures to protect sensitive information and ensure compliance with data privacy regulations (e.g., GDPR, HIPAA).
• Document data engineering processes, data lineage, and system architecture to facilitate knowledge sharing and future maintenance.
• Set up monitoring and alerting systems to detect and address issues with data pipelines and systems proactively.
• Collaborate with cross-functional teams, including data scientists, analysts, and software engineers, to understand their data needs and provide the necessary infrastructure and support.
• Stay up-to-date with the latest data engineering technologies and tools, and evaluate their applicability to the organization's data stack.
• Bachelor's degree in computer science, information technology, or a related field. A master's degree is a plus.
• Strong proficiency in data engineering tools and technologies, such as SQL, ETL frameworks (e.g., Apache Spark, Apache Airflow, Apache Beam).
• Experience with Google BigQuery for data warehousing.
• Experience with Google Cloud Dataflow or Dataproc.
• Experience with programming languages like Python, Java, or Scala.
• Experience with building streaming data pipelines on Google Cloud.
• Knowledge of database design, data modeling, and data integration techniques.
• Familiarity with data governance, data security, and compliance standards.
• Problem-solving skills and attention to detail.
• Strong communication and collaboration skills.

Job type:

Full-time

Greenline Synergy provides the Enterprise Data Management System to BDMS hospitals. It is the process of inventorying and governing your business's data and getting your organization onboard with the process. The services would be Enterprise Data Platform, Enterprise Data Warehouse, Analytics and Performance Report and Operational Statistic Report..

Skills:

Product Owner, Scrum, Project Management

Job type:

Full-time

• Collaborating with prospective users and clients to understand and anticipate their needs and translate them into product requirements.
• Defining the vision for the product team and maintaining a cohesive vision throughout the process.
• Creating a product road map based on this vision.
• Managing the product backlog and prioritizing the tasks based on changing requirements.
• Overseeing all stages of product creation, including design and development.
• Monitoring and evaluating product progress at each stage of the process.
• Working with the product team and end-users to deliver updates and status reports.
• Participating in Scrum meetings and product sprints.
• Bachelor degree.
• At least 4 years of working experience.
• At least 2 years of working experience in Project Management.
• In-depth knowledge of Scrum and Agile Software Development Methodology.
• Working knowledge of product development architecture.
• Proficiency in the use of analytic tools and strong analytical thinking.
• Ability to prioritize effectively.
• Contact Information:-.
• Office of Human Capital.
• DIGITAL AND TECHNOLOGY SERVICES CO., LTD.
• Lao Peng Nguan Building, Tower 1.
• 333 Vibhavadi Rangsit Road, Ladyao Subdistrict, Chatuchak District, Bangkok 10900.