เงื่อนไขการค้นหา

ทักษะ:

Automation, Research, SQL, English

ประเภทงาน:

งานประจำ

• Proactive monitoring to detect unusual behavior on production database by creating automation & visibility i.e. high query resource usage, unusual database traffic, database server capacity, etc. and coordinate with Engineering team to optimize it before it becomes to be big incident.
• Research and implement automation tool to help reduce human time on daily basis i.e. Installation and upgrade tool, Database deployment tool, Anomaly Detection, etc.
• Setup, migrate and re-architect Agoda production database to support business growth ...
• Coordinate with Infrastructure team to planned or unplanned maintenance.
• What You'll Need To SucceedExperience in 24 7 OLTP transactional of MS SQL Server administration.
• Good knowledge of SQL query, Optimizer and Execution plan.
• Knowledge of High Availability (HA) and Disaster Recovery (DR) options for SQL Server.
• Up-to-date knowledge the Data Protection Act and GDPR.
• Excellent English written and verbal communication.
• Be able to work multi-task and context-switch effectively between different activities and teams.
• Be able to attend On-Call rotation.
• It's Great If You HaveStorage, windows OS, Network principle.
• MCSA, MCSE, and/or MVP certifications.
• Equal Opportunity Employer.
• At Agoda, we pride ourselves on being a company represented by people of all different backgrounds and orientations. We prioritize attracting diverse talent and cultivating an inclusive environment that encourages collaboration and innovation. Employment at Agoda is based solely on a person's merit and qualifications. We are committed to providing equal employment opportunity regardless of sex, age, race, color, national origin, religion, marital status, pregnancy, sexual orientation, gender identity, disability, citizenship, veteran or military status, and other legally protected characteristics.
• We will keep your application on file so that we can consider you for future vacancies and you can always ask to have your details removed from the file. For more details please read our privacy policy.
• Disclaimer.
• We do not accept any terms or conditions, nor do we recognize any agency's representation of a candidate, from unsolicited third-party or agency submissions. If we receive unsolicited or speculative CVs, we reserve the right to contact and hire the candidate directly without any obligation to pay a recruitment fee.

ทักษะ:

Python, SQL, Java

ประเภทงาน:

งานประจำ

• Data Pipeline Development: Design, implement, and maintain data analytics pipelines and processing systems.
• Data Modeling: Apply data modeling techniques and integration patterns to ensure data consistency and reliability.
• Data Transformation: Write data transformation jobs through code to optimize data processing.
• Data Management: Perform data management through data quality tests, monitoring, cataloging, and governance.
• LLM Integration: Design and integrate LLMs into existing applications, ensuring smooth functionality and performance.
• Model Development and Fine-Tuning: Develop and fine-tune LLMs to meet specific business needs, optimizing for accuracy and efficiency.
• Performance Optimization: Continuously optimize LLM performance for speed, scalability, and reliability.
• Infrastructure Knowledge: Possess knowledge of the data and AI infrastructure ecosystem.
• Collaboration: Collaborate with cross-functional teams to identify opportunities to leverage data to drive business outcomes.
• Continuous Learning: Demonstrate a willingness to learn and find solutions to complex problems.
• Education: Bachelor's or Master's degree in Computer Science, AI, Engineering, or a related field.
• Experience: At least 2 years of experience in data engineering and at least 3 years as data scientist.
• Technical Skills: Proficiency in Python, SQL, Java, experience with LLM frameworks (e.g., LangChain), and familiarity with cloud computing platforms. Additional, visualization tools i.e Power BI, Tableau, Looker, Qlik.
• Cloud Computing: Familiarity with cloud computing platforms, such as GCP, AWS, or Databricks.
• Problem-Solving: Strong problem-solving skills with the ability to work independently and collaboratively.
• Desirable.
• System Design: Knowledge of system design and platform thinking to build sustainable solutions.
• Big Data Experience: Practical experience with modern and traditional Big Data stacks (e.g., BigQuery, Spark, Databricks, duckDB, Impala, Hive).
• Data Warehouse Solutions: Experience working with data warehouse solutions, ELT tools, and techniques (e.g., Airflow, dbt, SAS, Nifi).
• API Development: Experience with API design to facilitate integration of LLMs with other systems.
• Prompt Engineering: Skills in designing sequential tasks for LLMs to achieve efficient and accurate outputs.
• Visualization Solution: Skills in design and develop dashboard for analytic & insight.
• Agile Methodologies: Experience with agile software delivery and CI/CD processes.
• Location: BTS Ekkamai
• Working Day: Mon-Fri (WFA Every Friday).

ทักษะ:

SAS, SQL, Tableau

ประเภทงาน:

งานประจำ

• Produce daily, weekly, monthly business report for the Collections Department.
• Develop and automated data processes, including routine and ad-hoc reports, to improve efficiency.
• Coordinated cross-functional teams to define business objectives and present complex data insights clearly.
• Analyzed and improved existing business reports and provided support for problem-solving and new business requirements.
• Enhance collector performance by implementing report for performance tracking, involving requirements gathering and report template design by using tools such as SAS.
• Design and develop data visualization, dashboards, to support business comprehend data and make critical decisions.
• Estimate costs and benefits for the sales campaign, incentive schema of the Collections Department.
• Bachelors and / or Masters degree in any field.
• 3+ years experience as MIS.
• Experience in using SAS, SQL, Powe BI, Tableau, Access and Excel (Pivot, VLOOKUP).

ทักษะ:

Python, SQL

ประเภทงาน:

งานประจำ

• 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.".

ทักษะ:

Python, SQL

ประเภทงาน:

งานประจำ

• 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.".

ประสบการณ์:

3 ปีขึ้นไป

ทักษะ:

Finance, SQL, Tableau

ประเภทงาน:

งานประจำ

• 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.
• 3+ years of relevant experience using Business Intelligence (BI) & analytics tools (like SQL, Tableau, Metabase, 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.
• Advanced Excel modelling (OLAP cubes & VBA a bonus).
• Accounting/Financial knowledge and commercial acumen.
• 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.
• Disclaimer.
• We do not accept any terms or conditions, nor do we recognize any agency's representation of a candidate, from unsolicited third-party or agency submissions. If we receive unsolicited or speculative CVs, we reserve the right to contact and hire the candidate directly without any obligation to pay a recruitment fee.

ประสบการณ์:

5 ปีขึ้นไป

ทักษะ:

SEO, Statistics, SQL, English

ประเภทงาน:

งานประจำ

• Analyze the online travel ecosystem, markets, competitive landscape, and user requirements with a strong focus on Search Organic traffic channels.
• Oversee the end to end delivery of campaigns/products, which support a mix of wider-company initiatives, customer engagement and ultimately optimizing organic rankings to drive Agoda's revenues.
• Conceptualize, launch, and optimize SEO products and features, experiment, test their performance, and iterate quickly.
• Work collaboratively with Engineering, Marketing, Content, and UX teams on cutting-edge technologies.
• Analyze content traffic, SEO metrics and the effectiveness of campaigns and messaging (through well-defined KPIs) to explore ways of improving content marketing ROI.
• Develop innovative solutions to some of the world's difficult problems by collaborating as needed across regions, product areas, and functions, with a strong emphasis on SEO.
• At least 5+ years of product experience, including hands-on technical and content optimization experience.
• Bachelor's degree in a technical field (i.e., Computer Science, Statistics, Engineering, Mathematics, or similar quantitative discipline).
• Proven ability to leverage analytics and quantitative methods to inform and influence decision-making, with a strong focus on SEO.
• Strong data skills.
• Excellent communication skills (both verbal and written in English) with a proven ability to convey complex messages clearly and with conviction to different stakeholders.
• Experience developing and launching new products.
• Experience leading global product vision, go-to-market strategy, and design discussions for the organic channel.
• Entrepreneurial and analytical skills; effective at breaking down complex problems and driving and managing change.
• Hands-on mentality, with a proactive approach to problem-solving.
• MBA or Master's degree in Math, Economics, Computer Science, or Statistics.
• Strong proficiency in data tools such as SQL, Python, R, or equivalent.
• 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 organizational location. Agoda is not responsible for any fees related to unsolicited resumes.
• Equal Opportunity Employer.
• At Agoda, we pride ourselves on being a company represented by people of all different backgrounds and orientations. We prioritize attracting diverse talent and cultivating an inclusive environment that encourages collaboration and innovation. Employment at Agoda is based solely on a person's merit and qualifications. We are committed to providing equal employment opportunity regardless of sex, age, race, color, national origin, religion, marital status, pregnancy, sexual orientation, gender identity, disability, citizenship, veteran or military status, and other legally protected characteristics.
• We will keep your application on file so that we can consider you for future vacancies and you can always ask to have your details removed from the file. For more details please read our privacy policy.
• Disclaimer.
• We do not accept any terms or conditions, nor do we recognize any agency's representation of a candidate, from unsolicited third-party or agency submissions. If we receive unsolicited or speculative CVs, we reserve the right to contact and hire the candidate directly without any obligation to pay a recruitment fee.

ประสบการณ์:

3 ปีขึ้นไป

ทักษะ:

Tableau, Data Analysis, SQL, English

ประเภทงาน:

งานประจำ

• Develop interactive dashboards and reports using Tableau..
• Translate business requirements into data visualizations and actionable insights..
• Work with stakeholders to define key performance indicators and reporting metrics..
• Prepare, clean, and manipulate data from multiple sources for analysis..
• Collaborate with data engineers and business analysts to improve data accuracy and consistency..
• Perform trend analysis, forecasting, and reporting for internal and client use..
• Ensure data visualization best practices, including usability and accessibility..
• Document processes and maintain version control for all dashboards and visual reports..
• Your profileExperience with Tableau for data analysis and visualization..
• Experience with data preparation tools and SQL-based querying..
• Minimum 3 years of professional experience as a Data Analyst or BI Analyst..
• Academic background: Bachelor s degree in Statistics, Computer Science, Business Analytics, or related field..
• Fluent Thai and English..
• You are detail-oriented, curious, and able to translate data into strategic insights..
• What we offerAn international community bringing together 110+ different nationalities.
• An environment where trust has a central place: 70% of our key leaders started their careers at the first level of responsibilities.
• A robust training system with our internal Academy and 250+ available modules.
• A vibrant workplace that frequently gathers for internal events (afterworks, team buildings, etc.).
• Strong commitments to CSR, notably through participation in our WeCare Together program.
• Amaris Consulting is proud to be an equal-opportunity workplace. We are committed to promoting diversity within the workforce and creating an inclusive working environment. For this purpose, we welcome applications from all qualified candidates regardless of gender, sexual orientation, race, ethnicity, beliefs, age, marital status, disability or other characteristics.

ทักษะ:

Sharepoint, SQL, English

ประเภทงาน:

งานประจำ

• Collaborate with business users and gather and evaluate business requirements and productivity issues. Identify workflow needs and create customised solutions using Power Apps.
• Design, develop and customise applications on the Power Apps platform, ensuring that they meet functional and performance requirements.
• Conduct user testing and gather feedback to refine and enhance application features and the user experience.
• Troubleshoot and resolve technical issues related to Power Apps applications to ensure smooth operation.
• Document application features, workflows and technical specifications for future reference and knowledge sharing.
• Provide training and support to end users, facilitating effective adoption of new applications.
• Technical skills.
• Good programming logic, software algorithm design, development and testing skills.
• Some experience in developing applications using Microsoft Power Apps or similar low-code development platforms is an advantage.
• Familiarity with SharePoint and other related Microsoft 365 tools is an advantage.
• Basic understanding of programming languages (such as MS SQL-T) is preferred but not required.
• Strong analytical, problem-solving, and troubleshooting skills.
• A proactive learner with a passion for technology and innovation.
• A recent graduate or has a few years of experience in developing applications using Power Apps and is passionate about leveraging technology to improve business processes.
• Soft skills.
• Positive attitude, strong sense of responsibility and excellent organisational abilities.
• Strong analytical, problem-solving and troubleshooting capabilities.
• Effective communication skills in both Thai and English.
• Proficient in time management and prioritisation.
• Collaborative team player who works well with others.
• To help us comply with PDPA rules, please don't include your religion or racial information on your CV.
• Education (if blank, degree and/or field of study not specified).
• Degrees/Field of Study required: Degrees/Field of Study preferred:Certifications (if blank, certifications not specified).
• Required Skills.
• Optional Skills.
• Accepting Feedback, Accepting Feedback, Active Listening, Communication, Computer Engineering, Computer Program Installation, Computer Programming, Computer Technical Support, Emotional Regulation, Empathy, Enterprise Architecture, Incident Management and Resolution (IMR), Inclusion, Information and Communications Technology (ICT), Intellectual Curiosity, IT Infrastructure Upgrades, IT Operations, IT Operations Management, IT Project Lifecycle, IT Support, IT Troubleshooting, Object-Oriented Programming (OOP), Optimism, Scripting Languages, Security Protocol Analysis {+ 6 more}Desired Languages (If blank, desired languages not specified).
• Travel Requirements.
• Available for Work Visa Sponsorship?.
• Government Clearance Required?.
• Job Posting End Date.

ทักษะ:

Negotiation, Oracle, SQL

ประเภทงาน:

งานประจำ

• Main Support Business Retail.
• Provide application services. (functional and consult).
• Data Reconcile, provide end-to-end reconcile.
• Monitor Services, inform and record issue into system.
• Coordinate with third parties or in-house team for solution within OLA & SLA time.
• Participate and facilitate training/UAT to user for platform s software new version updated.
• Troubleshoot and implement solutions for issue resolution.
• Working closely with user and relevant team members.
• Analyst issue and be able to propose solution / work around.
• Acts as Project Manager as assigned.
• Minimum 6-10 years of experience in Business Application Implementation and Support for Retail.
• Experience in Application Development as IT Business Analyst, System Analyst, or Developers.
• Understand the business process.
• Presentation and negotiation skill.
• Understand the Supply Chain process will be avantage.
• Bachelor s degree or higher in Computer Science or related field.
• Experience in program and project management, working with cross-functional teams.
• Strong skills required in critical thinking and analysis / understand the relationship of the system and prioritize.
• Able to handle difficult situations and work under time constraints.
• Knowledge in Microsoft or Oracle database or PostgreSQL.
• Knowledge in SQL language is must.
• Knowledge in VB.Net, C#, Java.
• Knowledge in React, NodeJS or new computer programming language will be avantage.

ทักษะ:

Tableau, SQL, Power BI

ประเภทงาน:

งานประจำ

• Develop, maintain, and optimize dashboards, reports, and visual analytics using BI tools such as Tableau or equivalent.
• Partner with business stakeholders to translate data needs into technical specifications and reporting logic.
• Define and maintain standardized metrics and KPIs across domains (e.g., product, marketing, operations).
• Write efficient SQL queries and collaborate with data engineers on data models and semantic layers.
• Enable and support self-service analytics by building curated datasets and reusable components.
• Ensure data accuracy, consistency, and security in BI assets.
• Bachelor s degree in Information Technology, Computer Engineering, Computer Science, Business Analytics, or related field.
• 3+ years of experience in BI/report development or analytics engineering, fresh graduate with strong potential will also be considered.
• Proficient in SQL and one or more BI tools (e.g., Tableau, Power BI, Looker, Superset).
• Familiarity with data modeling concepts (e.g., star/snowflake schema, dimensional modeling).
• Comfortable working with large datasets and cross-functional teams.
• Strong attention to detail and a passion for turning data into actionable insights.
• Nice to Have.
• Experience with modern data stacks (e.g., dbt, Airflow, cloud warehouses).
• Knowledge of version control tools (e.g., Git) and CI/CD concepts for BI assets.
• Exposure to big data environments like Cloudera and Databricks.

ทักษะ:

SQL, Javascript, Ruby, English

ประเภทงาน:

งานประจำ

• Designing and implementing data protection and privacy programs for our clients and supporting their business.
• Evaluating the data protection and privacy practices of our clients and Conducting Privacy Impact Assessments.
• Monitor processes and drive improvements in efficiency and quality of cybersecurity programs.
• Facilitate strategic planning initiatives, documentation, technical roadmaps and security tool rationalisation.
• Assist in designing the security organisation structure including cyber defense.
• Develop security policies, procedures, standards based on the security strategy and roadmap.
• Review of cybersecurity policies and processes to identify gaps in design of control based on comprehensive assessment framework.
• Conduct security process implementation reviews to assess security effectiveness and reporting.
• Conduct Current State Assessment of cybersecurity practices against the defined controls and provide recommendations for to-be state.
• Run Cyber Security Diagnostic Assessments and develop programs for cybersecurity skill development and enhancement.
• Implement security controls for realisation of the certification requirements and provide technology roadmap based on the security strategy.
• Assisting in delivering privacy projects to acting as a subject matter expert on them or to leading a team towards excellent client experience.
• Supporting and guiding our clients in adhering to the complex web of relevant national and international regulations (e.g. EU General Data Protection Regulation).
• Deploying processes and tools to help detect and prevent privacy breaches.
• Preferred skills.
• Bachelor s degree in Computer Engineering, Computer Science, Information Systems or a related field. A Master s degree is a plus.
• Have knowledge of industry standard classification schemes, such as NIST, ISO27000, and PCI DSS.
• Be able to conduct and simulate manual penetration tests.
• Be able to code at least in one scripting language such as SQL, C ++, JavaScript, Ruby, or Python.
• Have demonstrated leadership, problem solving, and verbal and written communication skills. You need to be able to communicate clearly in both Thai and English.
• Have proven analytical, decision-making, and presentation skills.
• Have a high level of MS Office proficiency.
• Be able to adapt and learn new things.
• Be able to prioritize tasks, work on multiple assignments, and manage ambiguity.
• Be able to work both independently and as part of a team with professionals at all levels.
• Offensive Security Certified Professional OSCP certifications are beneficial but not required.
• Education (if blank, degree and/or field of study not specified).
• Degrees/Field of Study required: Degrees/Field of Study preferred: Bachelor DegreeCertifications (if blank, certifications not specified).
• Required Skills.
• Optional Skills.
• Desired Languages (If blank, desired languages not specified).
• Travel Requirements.
• Not Specified
• Available for Work Visa Sponsorship?.
• No
• Government Clearance Required?.
• No
• Job Posting End Date.

ประสบการณ์:

5 ปีขึ้นไป

ทักษะ:

SQL, Tableau, Big Data

ประเภทงาน:

งานประจำ

• Spearhead the development, execution, and optimization strategy for growing Agoda's new & emerging marketing channels.
• Conduct end-to-end analysis of large, complex datasets related to channel performance, user behavior, and market trends, translating raw data into actionable insights.
• Develop hypotheses, design experiments (e.g., A/B tests), and build structured analyses to rigorously evaluate campaign effectiveness and drive data-driven decisions for channel growth.
• Partner closely with various business functions to identify opportunities, analyze, and interpret trends or patterns in complex data sets using different techniques and tools such as SQL or Tableau.
• Communicate complex findings, performance updates, and strategic recommendations clearly and concisely to key stakeholders, including senior management.
• Extensive Experience: 5+ years in Data Analyst position or otherwise in projects involving big data preferably in the tech, e-commerce, or digital marketing industry. Bachelor's degree in Computer Science/Statistics/Math or Engineering or Economics and Finance is a plus.
• Data-Driven Approach: Strong analytical skills with the ability to analyze data, translate data into actionable insights, and generate impactful recommendations. Proficient in business intelligence tools and data warehouse i.e. SQL, Tableau and MS Excel.
• Innovative Problem-Solving Skills: The ability to tackle complex challenges in a non-linear fashion is essential. We seek a resourceful candidate who can effectively navigate the organization to gather necessary information and implement innovative solutions while adapting to evolving scenarios and leveraging valuable resources creatively.
• Strong Communication Skills: Exceptional writing and verbal communication abilities, with proficiency in creating impactful and visually appealing presentations.
• Stakeholder management: Ability to effectively communicate, influence and persuade with different levels of stakeholders (including Senior Management) with proven strong commercial acumen.
• Experience in digital or social media marketing.
• Experience in hypothesis testing frameworks, statistical analysis, and using Python/R for data manipulation and analysis.
• Equal Opportunity Employer.
• At Agoda, we pride ourselves on being a company represented by people of all different backgrounds and orientations. We prioritize attracting diverse talent and cultivating an inclusive environment that encourages collaboration and innovation. Employment at Agoda is based solely on a person's merit and qualifications. We are committed to providing equal employment opportunity regardless of sex, age, race, color, national origin, religion, marital status, pregnancy, sexual orientation, gender identity, disability, citizenship, veteran or military status, and other legally protected characteristics.
• We will keep your application on file so that we can consider you for future vacancies and you can always ask to have your details removed from the file. For more details please read our privacy policy.
• Disclaimer.
• We do not accept any terms or conditions, nor do we recognize any agency's representation of a candidate, from unsolicited third-party or agency submissions. If we receive unsolicited or speculative CVs, we reserve the right to contact and hire the candidate directly without any obligation to pay a recruitment fee.

ทักษะ:

Statistics, Data Analysis, SQL

ประเภทงาน:

งานประจำ

• Data Science Foundations: Strong foundation in data science, statistics, and advanced data analytics, including data visualization to communicate insights effectively.
• Exploratory Data Analysis (EDA): Skilled in performing EDA to uncover patterns, detect anomalies, and generate meaningful insights from data.
• Experimentation & Testing: Skilled in designing A/B tests or other experimental designs to measure business impact, analyze results, and communicate findings clearly to stakeholders.
• Machine Learning & AI.
• Model Development & Deployment: Experience in building, deploying, and optimizing machine learning models on large datasets.
• Generative AI (GenAI): Opportunity to work on GenAI projects that drive innovation and impactful business solutions.
• Problem-Solving & Collaboration.
• Analytical & Problem-Solving Skills: Strong analytical and problem-solving abilities focused on deriving actionable insights from data.
• Team Collaboration: Ability to work effectively both independently and as part of a collaborative team, contributing to shared project goals.
• Technical Expertise.
• Proficiency in Big Data Technologies: Expertise in Spark, PySpark, and SQL for large-scale data processing focused on feature creation for machine learning models and data analysis tasks.
• Programming Skills: Strong proficiency in Python for data analysis and machine learning (including libraries like Pandas, PySpark, Scikit-learn, XGBoost, LightGBM, Matplotlib, Plotly, Seaborn, etc.).
• Python Notebooks: Familiarity with Jupyter, Google Colab, or Apache Zeppelin for interactive data analysis and model development.
• Platform Experience: Experience in using PySpark on cloud platforms such as Azure Databricks or other platforms (including on-premise) is a plus.
• Education & Experience.
• Educational Background: Bachelor s or advanced degree in Data Science, Statistics, Computer Science, Computer Engineering, Mathematics, Information Technology, Engineering, or related fields.
• Work Experience: At least 2-3 years of relevant experience in Data Science, Analytics, or Machine Learning, with demonstrated technical expertise and a proven track record of driving data-driven business solutions.

ทักษะ:

SQL, Research, Digital Marketing

ประเภทงาน:

งานประจำ

• Lead and Manage Paid Campaigns: Plan, execute and optimize lower-funnel campaigns, including lead generation, web conversions and CPAs, across major platforms (Meta, Google, TikTok, Line etc.).
• Effectively communicate campaign insights, performance, and key learnings to the team on a weekly/monthly basis. Provide clear and actionable recommendations based on campaign performance and Return on Ad Spend (ROAS).
• Collaborate with team to ideate media strategies, target audience profiles, and ad c ...
• Take responsibility for campaign optimization, adjusting budget allocation to ensure efficient and effective use of resources. Propose new strategies and tactics to improve campaign performance and achieve desired outcomes.
• Be the main point of contact for local optimization, driving strategies aimed at increasing seller sign-ups while maintaining a strong focus on quality acquisition.
• Analyze data, dashboards, and SQL reports to evaluate campaign performance and ROI. Use insights to guide campaign improvements and ensure alignment with business goals.
• Conduct in-depth research to understand the target audience's behavior, consumer demand, and keyword trends to craft data-driven media campaigns.
• Work closely with regional PICs to implement local best practices and optimize campaigns to drive seller acquisition in specific regions.
• Generate ideas for ad creatives and specifications, ensuring campaigns are aligned with client goals and are optimized for performance.
• Experience in A/B testing and conversion rate optimization to improve campaign effectiveness.
• Excellent communication and interpersonal skills to coordinate with cross-functional teams.
• 2-3 years of working experience in a digital marketing, sales team management.
• Highly motivated willing to push or go extra mile to drive impact with high ownership.
• Excellent analytical skills and data visualization skills, SQL would be a plus.
• Bachelor s and/or Master s degree in a relevant field of study.
• Extensive knowledge and practical experience in Social Media Advertising - Proven project management and team leadership skills.
• Interest in startup culture, self-motivated, ability to work under pressure, highly responsible.

ทักษะ:

ETL, Big Data, SQL

ประเภทงาน:

งานประจำ

• Design and develop ETL solutions using data integration tools for interfacing between source application and the Enterprise Data Warehouse.
• Experience with Big Data or data warehouse.
• Analyze & translate functional specifications & change requests into technical specifications.
• Experience in SQL programming in one of these RDBMSs such as Oracle.
• Develops ETL technical specifications, designs, develops, tests, implements, and supports optimal data solutions.
• Develops Documents ETL data mappings, data dictionaries, processes, programs and solutions as per established standards for data governance.
• Design and create codes for all related data extraction, transformation and loading (ETL) into database under responsibilities.
• Creates, executes, and documents unit test plans for ETL and data integration processes and programs.
• Perform problem assessment, resolution and documentation in existing ETL packages, mapping and workflows in production.
• Performance tuning of the ETL process and SQL queries and recommend and implement ETL and query tuning techniques.
• Qualifications Bachelor s degree in Information Technology, Computer Science, Computer Engineering, or a related field.
• Experience with CI/CD tools (e.g., Jenkins, GitLab CI/CD) and automation frameworks.
• Proficiency in cloud platforms such as AWS, Azure, and associated services.
• Knowledge of IAC tools like Terraform or Azure ARM.
• Familiarity with monitoring and logging tools like Prometheus, Grafana, ELK stack, APM, etc.
• Good understanding of IT Operations.
• Strong problem-solving skills and the ability to troubleshoot complex issues.
• Excellent communication and teamwork skills to collaborate effectively across various teams.
• 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.

ทักษะ:

SQL, Python, SAS, English

ประเภทงาน:

งานประจำ

• Lead the end-to-end development of Health analytics infrastructure, translating complex business problem statement into robust analytical solutions that support FWD strategic goals.
• Collaborate with Group Office and cross-functional teams to design and maintain advanced statistical models and analytical tools (e.g., SQL, Python, SAS, R), ensuring scalability, accuracy, and alignment with portfolio performance analysis.
• Decision Enablement and Business Impact.
• Lead the planning and execution of cross-functional analytics initiatives to develop predictive & statistical models and early warning systems for emerging health trends, fraud risk mitigation, and operational efficiencies.
• Partner with data and health operations teams to lead and drive AI/ML initiatives that enhance analytics capability, automate insights generation, and improve decision quality in key health domains.
• Provide strategic insights by synthesizing internal data and external market intelligence to influence underwriting, sales, and operations, enabling evidence-based decision making at executive levels.
• Champion the adoption of Group Office and enterprise-wide analytics best practices, positioning the analytics team as a proactive business partner in driving long-term impact for Health business.
• Portfolio Monitoring/Business Planning.
• Oversee the end-to-end delivery of monthly health portfolio performance reports on experience (Loss/Lapse/Expense) to ensure data accuracy and timely insights for strategic review.
• Analyze and synthesize reporting outputs into clear, actionable commentaries for local senior leadership and Group Office, enabling informed decision-making.
• Support the Strategy/Finance teams by contributing to the development and planning of Health business plans.
• Identify portfolio risks and growth opportunities by proactively monitoring health insurance trends and performance indicators, and recommend strategic interventions or pricing adjustments to senior management.
• Bachelor s degree (or higher) in Actuarial Science or related field.
• Progress toward an associate of international recognized actuarial bodies e.g. SoA/IFoA/IAA.
• 8+ years of experience on Health Portfolio Analytics, management, or pricing.
• Good communication in both Thai and English.

ประสบการณ์:

3 ปีขึ้นไป

ทักษะ:

Python, SQL, Analytical Thinking, English

ประเภทงาน:

งานประจำ

• 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. ".

ทักษะ:

SQL, Python, Git, English

ประเภทงาน:

งานประจำ

• Track the monitoring alerts, investigate the issue, and raise an incident if appropriate.
• Notify the Support Supervisor of incidents, user impact and estimated time to resolve.
• Ensure data workspace governance including row-level security.
• Data Development and Management.
• Develop and maintain BI solutions within Microsoft Fabric, using Data Lake, Dataverse, and Pipelines.
• Build and optimize Dataflows and manage semantic models, integrate data from multiple sources using Power Query, SQL, and Python within the Fabric ecosystem.
• Utilize Git for source control and Azure DevOps for deployment pipelines and version tracking of Power BI and Fabric artifacts.
• Data Analysis & Power BI Reporting.
• Translate business requirements and maintainable technical specifications.
• Create and maintain dashboards and reports in Power BI.
• Ensure performance optimization and effective user experience in reports and datasets.
• Data Quality.
• Clean and validate data to ensure accuracy, completeness, and reliability.
• Document and maintain data definitions, metrics, and business logic across datasets.
• Collaboration.
• Work alongside teams within the business or management to establish business needs and define new data collection and analysis processes.
• Provide training and guidance to business users on data access and report usage.
• Benefit.
• Provident Fund.
• Yearly Performance Bonus.
• Diligence Allowance.
• Annual leave starts at 12 days. 15 day after 1 year.
• Public holiday standard at 17 days.
• Group Insurance (Life insurance & Health insurance).
• Laptops provide.
• Moral support such as marriage, Funeral.
• Emergency Loan without interest.
• Company outing trip.
• Bachelor s degree in computer science, Data Science, Mathematics.
• 3+ years as a data analyst or similar role.
• Can Work and Communicate Well in English, spoken and written.
• Experience in a construction-related business is ideal.
• Experience in an international company within mid-to-large enterprise environments is a plus.
• Quantitative Analysis: A strong foundation in statistical methods, probability, and mathematical modeling is crucial. You should be comfortable working with large datasets and performing predictive analytics.
• Technical Proficiency: Knowledge of programming languages like SQL, Python, or R, and familiarity with data visualization tools such as Microsoft Fabric ecosystem, including Power BI, Lakehouse, Pipelines, and Dataflows Gen2 is necessary.
• You should also understand database management and be adept at using spreadsheets or specialized software.
• Power Query and DAX: Proficiency in using Power Query and writing expressions using Data Analysis Expressions (DAX) is important for manipulating and analyzing data within PowerBI.
• Data Quality Assessment: You need to know how to assess data quality and understand data security, including row-level security and data sensitivity.
• Communication Skills: Excellent verbal and written communication skills are essential for explaining complex data insights in a clear and understandable manner.
• Problem-Solving Skills: Strong analytical and problem solving skills will help you tackle the challenges that come with interpreting data and turning it into actionable insights.
• Interpersonal Skills: As you will be working closely with business teams, good customer service and interpersonal skills are important for collaboration and understanding of business needs.

ทักษะ:

eCommerce, SQL, English

ประเภทงาน:

งานประจำ

• Cover wide gamut of business insights, including seller analysis, trends extraction, data interpretation, and insights generation.
• Design and perform analysis that uncovers seller insights necessary for making key business decisions in acquisition strategy.
• Define success criteria, OKR setting and new opportunities to grow different types of sellers.
• Craft policy or package that will support sellers GMV growth, secure seller investments, and strengthen sellers' fundamentals on Tiktok Shop platform.
• Internal stakeholder management between Seller Management team, Cluster Team, and other Cross Functional teams.
• Run routine key data tracking analysis, cadence meetings within Seller Management team.
• Minimum Bachelor's Degree or above.
• Experience in Ecommerce, Consulting, or Investment Banking background.
• 5 years+ of experience in business analytics role.
• Fluent in English and Thai.
• Preferred Qualifications.
• Manage small team of 1-3 high caliber members.
• SQL skill.