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Experience:

3 years required

Skills:

SQL, Excel, Automation, English

Job type:

Full-time

• Apply data analytical skills and analyze complex datasets using SQL, Excel, and uncover key trends and insights to identify listings and violations within the Shopee content ecosystem mitigate risk for the platform and ensure good user experience.
• Design and maintain dashboards, trackers, and reports to monitor KPIs and measure progress toward strategic goals.
• Act as a data-driven consultant, advising teams on strategic direction and sustainable operational improvements.
• Work with product team to support the development of features and models to drive automation and more effective content governance.
• Design and review operational processes to drive agent productivity and quality improvements of content moderation.
• Manage the rollout and adoption of initiatives and features, including writing requests, coordinating with regional stakeholders, developing training material, reporting and tracking of impact.
• Requirements: Bachelor s degree or above, preferably in an analytical field.
• Minimum 3 years of working experience, experience in eCommerce or a fast-paced environment is a plus.
• Proficiency in SQL and Excel (mandatory).
• Passion for utilising data to drive informed decision-making and improve processes.
• Strong problem-solving and critical thinking skills with the ability to frame and structure ambiguous challenges.
• Ability to translate data into strategic insights and develop frameworks for long-term solutions.
• Interest in designing operational processes and systems.
• Strong communication skills in English and have the ability to influence cross-functional stakeholders and prepare clear presentation to management.
• Self-motivated, accountable, and comfortable working in a fast-paced environment with a strong sense of ownership.

Experience:

3 years required

Skills:

SQL, Excel, Python, English

Job type:

Full-time

• Review and analyze data collection systems and database infrastructures within Shopee Thailand.
• Make recommendations on improvement, maintenance, or other factors to improve the database system.
• Develop, build, and implement new solutions to help improve the working process and efficiency across business intelligence and analytics functions in Shopee Thailand.
• Ensure that the data is sanitized, prepared and aligned with the correct logic.
• Identify the root cause and provide a solution to resolve the problem.
• Provide training or guidance on new systems/tools that are being implemented.
• Create and maintain key performance reports to support business decisions and analysis across business functions.
• Collaborate with internal and external teams on multiple projects, understanding the objectives and gathering requirements.
• Requirements: Bachelor's or Master's degree in Engineering, Computer Science, or related fields is preferred.
• 3 - 5 years of experience in Business Intelligence / Data Engineer role.
• Knowledge of data management.
• Experience in project & stakeholder management responsibilities.
• Strong data querying and processing skills (SQL, Excel).
• Knowledge of programming languages (e.g. Python or Web programming) is a plus.
• Hands-on experience with SQL database design.
• Advance English communication and written skill is preferred.
• Detail-oriented and enjoy building from the ground up.

Skills:

ETL, SQL, Data Analysis

Job type:

Full-time

• Data Pipeline Development: Create and maintain optimal data pipeline architecture.
• Data Integration: Assemble large, complex data sets that meet functional and non-functional business requirements.
• Process Improvement: Identify, design, and implement internal process improvements, such as automating manual processes and optimizing data delivery.
• Infrastructure Building: Build the infrastructure required for optimal extraction, transformation, and loading (ETL) of data from various data sources using SQL and AWS technologies.
• Master Data Management (MDM): Implement and manage MDM solutions to ensure data consistency, accuracy, and reliability across the organization.
• Data Lake Management: Design, build, and maintain data lakes to store structured and unstructured data, enabling advanced analytics and machine learning.
• Collaboration: Work with stakeholders including data, design, product, and executive teams to assist with data-related technical issues and support their data infrastructure needs.
• Data Analysis Tools: Build analytical tools to utilize the data pipeline, providing actionable insights into key business performance metrics.
• Technical Skills: Proficiency in SQL, Python, big data technologies such as Hadoop, Spark, and AWS, as well as MDM tools and data lake technologies..
• Technical Skills: Platforms, Databases, Programming Languages, Software Appliance: - Oracle: Data Integrator, Golden Gate - Informatica: Data Quality, Data Governance, Dynamic Data Masking, Big Data Management, Enterprise Data Catalog, Intelligent Data Management Cloud, Informatica Master Data Management.
• Analytical Skills: Strong analytical skills with the ability to collect, organize, analyze, and disseminate significant amounts of information..
• Experience: Prior experience in data engineering or a related field, with a solid understanding of data architecture, data modeling, MDM, and data lakes..
• Solution Advisor for Analytics, Cloud, Big Data, and Data Governance.
• Architect MDM solutions, including data modeling, match and merge rule configuration, hierarchy management, and data governance frameworks.
• Designed and implemented ETL processes for integrating MDM solutions with various ERP and CRM systems.
• Perform data quality assessments, cleansing, and validation tasks to maintain data accuracy and reliability.

Skills:

Big Data, SQL, Data Analysis, English

Job type:

Full-time

• As a member of the Supply and Demand Planning team, you will be responsible for SPX's daily supply chain planning by forecasting demand with big data models and managing supply and capacity cross-team.
• Develop insights, strategy, and initiatives for the SPX Operations Team to solve problems from supply chain planning and optimization, human resources, cost optimization, and more.
• Manage cross-functional teams project to ensure the stable growth of SPX supply chai ...
• Requirements 4+ years working in a supply and demand planning role with hands-on experience building up projection models from the ground.
• Extremely comfortable with manipulating, analyzing, and modeling a vast amount of data using advanced SQL skills, Excel, Google Sheets, and Google Data Studio. Data analysis & visualization programming languages such as Python and R are highly desirable.
• Experiences working in highly dynamic operational and analytical environments where you have program-managed large-scale insights and initiatives from 0 to 1.
• Experience building data models and/or predictive models used in a business production environment.
• Comfortable with complex modeling and analysis.
• English proficiency (professional to native) is strictly required.

Skills:

Project Management, Data Analysis, SQL

Job type:

Full-time

• Review/follow up/ and solve problem for Range change critical path.
• Tracking and maintaining the range change critical path activities across the business so that all activities are on track according to the Space Range and Display schedule and are delivered right first time for customers.
• Managing a cross functional natural work team process for all range change activity.
• Providing Range change Training pack and collect management information about Process Range changes.
• Bachelor Degree or above in Logistics, Marketing, Business Administration or related field.
• Knowledge/experience of a Retail, or FMCG business.
• Experience of product range development, operation excellent or Project Management.
• Data analysis.
• Stakeholder management to coordinate cross-functional team.
• Motivate & Convincing skill.
• Have knowledge of data analytics and experience using SQL, Excel, Power BI, are preferred.
• Can work under pressure and tight deadlines.
• Good attitude and self motivated.
• 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. .

Skills:

Microsoft SQL Server, SQL, Python

Job type:

Full-time

• ให้คำปรึกษาและแนะนำการใช้งานระบบแก่ผู้ใช้ในฝ่ายคลังสินค้าและทีมที่เกี่ยวข้อง.
• พัฒนา และดูแลระบบฐานข้อมูล โดยเฉพาะ Microsoft SQL Server.
• เขียนโปรแกรมหรือสคริปต์ด้วยภาษา Python,.NET, JAVA สำหรับเชื่อมโยงหรืออัตโนมัติงานที่เกี่ยวกับคลังสินค้า.
• จัดทำเอกสารประกอบการวิเคราะห์และคู่มือการใช้งานระบบ.
• แก้ไขปัญหาเบื้องต้นและให้การสนับสนุนระบบไอทีที่เกี่ยวข้องกับคลังสินค้า.
• ดูแล ตรวจสอบการทำงานของระบบอย่างต่อเนื่อง เพื่อให้ระบบทำงานได้อย่างมีประสิทธิภาพ.
• แจ้งและบันทึกปัญหาต่าง ๆ ที่พบระหว่างการใช้งาน รวมถึงแนวทางการแก้ไข/ป้องกันปัญหา.
• สามารถออกปฏิบัติงานนอกสถานที่ หรือต่างจังหวัดได้.
• ปฏิบัติงานอื่น ๆ ตามที่ได้รับมอบหมาย.
• วุฒิการศึกษาปริญญาตรี สาขาคอมพิวเตอร์ วิศวกรรมคอมพิวเตอร์ เทคโนโลยีสารสนเทศ หรือสาขาอื่นที่เกี่ยวข้อง.
• มีประสบการณ์ในงาน System Analyst หรือ IT Support ด้านคลังสินค้าจะพิจารณาเป็นพิเศษ.
• มีทักษะการวิเคราะห์ระบบและการออกแบบฐานข้อมูล (โดยเฉพาะ MS SQL Server).
• มีความสามารถในการเขียนโปรแกรมด้วยภาษา Python,.NET หรือ Java.
• มีทักษะในการประสานงานและการทำงานเป็นทีม.
• มีใบขับขี่รถยนต์ และสามารถเดินทางต่างจังหวัดได้.
• ขยัน อดทน และมีทัศนคติที่ดีในการทำงาน.

Skills:

Automation, Data Analysis, SQL, English

Job type:

Full-time

• Own and manage end-to-end operations for both payment and card services, ensuring smooth execution, timely issue resolution, and service quality.
• Oversee key operational processes, including card issuance, delivery, activation, reissuance, transaction monitoring, and user issue resolution.
• Monitor system-wide abnormalities across modules and platforms; coordinate with tech teams, vendors, and external partners to resolve issues effectively.
• Proactively identify gaps and inefficiencies, and drive initiative improvements with an entrepreneurial mindset and strong ownership.
• Apply analytical techniques to uncover operational risks and bottlenecks, and turn complex data into actionable insights to support strategic decisions.
• Build and maintain automation tools, dashboards, and reports to enhance monitoring and reduce manual workload.
• Maintain SOPs and escalation workflows, while aligning with internal teams on SLAs and cross-functional procedures.
• Lead continuous improvement initiatives to scale operations effectively and support business growth.
• Requirements:Bachelor s or Master s degree in Engineering, BBA, or any related field.
• Effective in fast-paced, complex environments with strong problem-solving, leadership, and analytical skills. Detail-oriented, organized, and a strong team player.
• Customer-oriented, open-minded, eager to learn, have good interpersonal skills, communication skills and good command of English.
• Flexible with working hours to handle issues that may arise at unusual times.
• Proficient in data handling and organization, especially with MS Excel or Google Sheets.
• Ability to solve complex problems using data analysis; experience with SQL and coding (e.g., Google Apps Script, JavaScript, Python) is a plus.
• Has passion for the FinTech industry.

Skills:

Express, Big Data, SQL, English

Job type:

Full-time

• Responsible for SPX's daily supply chain planning by forecasting demand with big data models and managing supply and capacity cross-team.
• Develop insights, strategy, and initiatives for the SPX Operations Team to solve problems from supply chain planning and optimization, human resources, cost optimization, and more.
• Manage cross-functional teams project to ensure the stable growth of SPX supply chain.
• Requirements: Bachelor's degree or higher in a relevant field of study.
• Experience working with one or more languages for querying and analysis (e.g. SQL, PYTHON).
• Strong analytical skills and must be comfortable with the analysis of quantitative data.
• Good structural thinker.
• Experience working with multiple stakeholders across various divisions will be advantaged.
• Satisfactory understanding in English.
• Self-driven with a willingness to learn and improve.
• Strong sense of responsibility and ability to work in a fast-paced and growth-changed environment.
• Experience working with unstructured data is not necessary but is a plus.
• Fresh Graduates are welcome.

Experience:

2 years required

Skills:

SQL, Excel, English

Job type:

Full-time

• Manage end-to-end marketing initiatives such as CRM to drive new user acquisition and retention, including mechanics planning, budget optimization, user segment breakdown, testing and performance analysis.
• Regularly review and analyze key marketing metrics to provide insights that guide decision-making for campaign improvement.
• Conduct data-driven analysis to provide actionable insights and recommendations for current business direction on ShopeePay, Digital Products and Credit businesses.
• Design analysis framework, extract relevant data, run in-depth analysis, and deliver findings using suitable visualization and reporting tools to communicate and collaborate with related stakeholders.
• Support other special projects as requested.
• Requirements: At least 1 - 2 years of work experiences in areas of marketing analytics, business analytics, data analytics, strategy consulting, e-commerce or tech industries.
• Strong technical skills with experience in SQL is a must.
• Intermediate MS Excel and Google Sheet skills, capable of utilizing different formulas and features to drive desired result.
• Strong analytical and logical reasoning skills.
• Strong sense of ownership over their work and long-term goals; a self-starter.
• Excellent communication skills in both written and verbal format in Thai and English.
• Reliable and good team player who enjoys a fast-paced and iterative environment.

Experience:

1 year required

Skills:

SQL, Statistics, Python, English

Job type:

Full-time

• Gather requirements and refine scope for data requests/projects from business users and management.
• Create comprehensive SQL queries to generate and conduct reports/dashboards for ad hoc requests from different business units.
• Develop and maintain ETLs for automatic reports and dashboards on the in-house data platform.
• Collaborate with relevant local and regional teams on data acquisition, alignment of business logic/definitions, and functional updates.
• Analyze quantitative data using statistical techniques and provide actionable insights to inform decisions/strategies.
• Work closely with business users in rolling out consumer campaigns with data and analysis support.
• Requirements:Bachelor's/Master's degree, preferably in Analytics, Statistics, Computer Science or Engineering.
• At least 1-2 years of experience in an Analytics, Business Intelligence or Data Engineer role with large, complex, high velocity data is preferred.
• Strong foundation in data query/manipulation using SQL and data visualization.
• Capable of making impactful contributions both as an individual and as a member of a team.
• Able to switch hats between data/technical speak and business/layperson speak.
• Strong analytical and problem-solving skills - possesses a relentless need for investigation and data exploration.
• Results-oriented with a keen eye for detail and ability to solve problems creatively and quickly.
• It s great if you have:Fluency in English.
• Experience in e-commerce or digital payment platforms.
• A global outlook and exposure to work with people from different cultures.
• Python/JAVA or similar programming background.

Experience:

3 years required

Skills:

Compliance, Analytical Thinking, SQL, English

Job type:

Full-time

• Lead and oversee the end-to-end operations of ShopeePay Customer Service teams, including both Level 1 (L1) and Level 2 (L2) support.
• Ensure delivery of excellent customer experience by managing daily workflows, team performance, and service quality.
• Establish, track, and analyze key performance indicators (KPIs) across all service levels to meet both qualitative and quantitative targets.
• Proactively identify gaps in customer service functions, processes, and operations; drive continuous improvements and implement best practices.
• Collaborate cross-functionally with product, operations, and compliance teams to resolve recurring issues and enhance service standards.
• Prepare and present performance reports, root cause analysis, and action plans to stakeholders and management.
• Requirements:Bachelor s or Master s degree in Business, Operations, or a related field.
• 3+ years of experience in customer service or operations, with at least 1 year in a leadership role.
• Proven track record in managing large support teams and delivering service excellence in a fast-paced environment.
• Strong analytical mindset with experience in interpreting performance data and driving metrics-based improvements.
• Excellent communication, people management, and conflict resolution skills with good command of English.
• Familiarity with fintech, payments, or digital wallet services is an advantage.
• Strong logical and analytical thinking.
• SQL and coding skills are a plus e.g. Google App Script, JavaScript, Python etc.

Experience:

6 years required

Skills:

Project Management, Python, SQL

Job type:

Full-time

• Partner with stakeholders to analyze business needs, translate requirements into data science solutions, and ensure alignment with strategic goals.
• Lead end-to-end project management-from scoping and prototyping to production roll-out-ensuring models are scalable, maintainable, and deliver ROI.
• Communicate insights effectively to non-technical audiences, enabling data-driven decision-making across teams.
• Responsibilities: Collaboration with related parties for Al initiative projects to ensure alignment with strategic goals.
• Apply and rollout machine learning/ optimization model using advanced analytics and machine learning/optimization.
• Data & Al strategy and detail roadmap.
• Qualifications: Bachelor's/Master's degree in Computer Engineering, Computer Science, or related fields (Bachelor's G.P.A. > 2.70, Master's G.P.A. > 3.30).
• 3 - 6 years of working experience in Data Scientist, or related roles.
• Proficiency in Python and SQL.
• Experience in applying machine learning algorithm/optimization.
• Business domain expertise, and Process understanding.
• Mathematics and statistics including probability and statistical inference.
• Effective communication abilities.
• Innovation and willingness to explore new ideas.
• Good command in English (TOEIC score at least 550).
• Contact: Pupat แมค Wattanadumrongkul Email: [email protected]

Experience:

3 years required

Skills:

Tableau, Data Analysis, SQL, English

Job type:

Full-time

• 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.

Experience:

2 years required

Skills:

Research, Python, SQL

Job type:

Full-time

• Develop machine learning models such as credit model, income estimation model and fraud model.
• Research on cutting-edge technology to enhance existing model performance.
• Explore and conduct feature engineering on existing data set (telco data, retail store data, loan approval data).
• Develop sentimental analysis model in order to support collection strategy.
• Bachelor Degree in Computer Science, Operations Research, Engineering, or related quantitative discipline.
• 2-5 years of experiences in programming languages such as Python, SQL or Scala.
• 5+ years of hands-on experience in building & implementing AI/ML solutions for senior role.
• Experience with python libraries - Numpy, scikit-learn, OpenCV, Tensorflow, Pytorch, Flask, Django.
• Experience with source version control (Git, Bitbucket).
• Proven knowledge on Rest API, Docker, Google Big Query, VScode.
• Strong analytical skills and data-driven thinking.
• Strong understanding of quantitative analysis methods in relation to financial institutions.
• Ability to clearly communicate modeling results to a wide range of audiences.
• Nice to have.
• Experience in image processing or natural language processing (NLP).
• Solid understanding in collection model.
• Familiar with MLOps concepts.

Experience:

2 years required

Skills:

SQL, Python, Automation, English

Job type:

Full-time

• Act as project owner to prepare, process, and validate data for business needs.
• Collaborate with stakeholders on building data pipeline and gather into internal tables using SQL, Inhouse-tools and Python.
• Develop reports, dashboards, and automation solutions using SPARK, SQL, Python, Excel, and in-house tools as business requirements.
• Ensure data integrity by sanitizing, validating, and aligning numbers with accurate logic.
• Proactively seek data insights and make data-driven recommendations to the business team.
• Requirements: Master's or bachelor's degree in quantitative or relevant fields.
• 2-5 years of experience in Data Analytics, Business Intelligence, or Data Engineering or similar roles in fast-growing industries.
• Experience in project & stakeholder management.
• Strong SQL skills for data querying and Excel proficiency (Python is a plus).
• Strong English communication skills, both verbal and written.
• Detail-oriented with a passion for building from the ground up.

Experience:

5 years required

Skills:

Automation, Python, SQL, English

Job type:

Full-time

• Design and develop automation toolsets to improve efficiency in Agoda's IT infrastructure (e.g., bare metal deployment, software installation/patching, monitoring, remediation).
• Develop, maintain, and optimize Grafana dashboards including configuring data sources, writing queries, troubleshooting performance, and supporting team members in data visualization and interpretation.
• Manage incidents, daily operational tasks, and performance tuning/troubleshooting in ...
• Lead and deliver end-to-end implementation projects, collaborating across multiple teams and departments.
• Coordinate datacenter operations with remote DCOE staff (e.g., server/rack provisioning, replacements, power and temperature management).
• Provide expert advice and mentorship to infrastructure team members and software developers.
• Minimum 5 years of IT operations experience in large, complex environments.
• Proficiency in Python and Go for scripting and automation.
• Expertise in Grafana dashboard development and query languages (e.g., PromQL, SQL, Elasticsearch).
• Strong troubleshooting and analytical skills, with the ability to break down and resolve complex issues.
• Practical experience with Kubernetes, Docker, or OpenStack operations and APIs.
• Experience with CI/CD tools (especially GitLab) and a DevOps background.
• Familiarity with networking architecture in complex e-commerce environments.
• High sense of ownership and proactive problem-solving attitude.
• Excellent English communication skills and a collaborative, adaptable mindset.
• Flexible hybrid work arrangement with the option to work remotely for part of the year.
• Generous annual leave, sick leave, and public holidays.
• Exclusive accommodation discounts for personal travel.
• Annual allowance for wellness, learning, fitness, and travel experiences.
• Opportunities for career growth through training, certifications, and internal promotions.
• Competitive compensation and comprehensive health benefits.
• Full visa sponsorship for employees, spouse, and children.
• Support for airfare, travel insurance, and temporary accommodation upon arrival.
• Assistance with moving household goods and pet relocation.
• 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.

Experience:

1 year required

Skills:

SQL, Python, Automation, English

Job type:

Full-time

• Developing data pipeline and gather into internal tables using SQL, Inhouse-tools and Python.
• Collaborate with stakeholders to prepare, process, and validate data for business needs.
• Make recommendations on improvement, maintenance, or other factors to improve the database system.
• Develop reports, dashboards, and automation solutions using SPARK, SQL, Python, Excel, and in-house tools.
• Ensure data integrity by sanitizing, validating, and aligning numbers with accurate logic.
• Requirements: Master's or bachelor's degree in quantitative fields or a relevant field.
• 1-3 years of experience in Data Analytics, Data Engineering, or Business Intelligence.
• Experience in project & stakeholder management responsibilities.
• Strong SQL skills for data querying and Excel proficiency (Python is a plus).
• Strong English communication skills, both verbal and written.
• Detail-oriented and enjoy building from the ground up.
• Fresh Graduates are welcome.

Skills:

SQL, Power point, Excel

Job type:

Full-time

• Understand RDT requirement.
• Provide data availability analysis, data source, data extraction criteria and confirm with related Domain expert, Data owner and support functions.
• Provide data validation rules.
• Confirm final data extraction logic with IT-RDT team.
• Support for any DQ issue and solution.
• Maintain RDT Center parameters.
• Sign off all the RDT changes, testing and ensure the correct result together with related Domain experts, Data Owners and support functions.
• Experience in PM, BA or Data Governance over 5-8 years.
• SQL,.
• Power Point.
• Excel.
• Word.
• Visio.
• Skill and Competency.
• Well RDT Regulation Literacy.
• Data profiling with variety data sources.
• Data Model Mindset.
• Business Rules and Business Solutions.
• Ad-hoc management.
• Well interpersonal skill with IT/Domain Expert/Data Owner.
• (https://krungsri.com/b/privacynoticeen).
• Remark: The bank needs to and will have a process for verifying personal information related to the criminal history of applicants before they are considered for employment with the bank..
• FB: Krungsri Career (http://bit.ly/FacebookKrungsriCareer).
• LINE: Krungsri Career (http://bit.ly/LineKrungsriCareer).
• Talent Acquisition Department
• Bank of Ayudhya Public Company Limited
• 1222 Rama III Rd., Bangpongpang, Yannawa, Bangkok 10120.

Skills:

Express, SQL, Excel, English

Job type:

Full-time

• Analyze internal and external data (generally with SQL, Excel, Python).
• Apply structured framework to estimate hard-to-find information and deliver original insights.
• Improve existing estimation and forecast solutions by scrutinizing current assumptions, identifying how our understanding would change if assumptions change, and quantifying these uncertainty (i.e. sensitivity analysis).
• Translate complex data analysis into accessible business-focused reports and recommendations.
• Present results to senior management on a regular basis.
• Serving as in-house consultant for data-driven solutions.
• Collaborate with stakeholders to build analytics capabilities.
• Requirements: Bachelor's degree or higher in a relevant field of study.
• Experience working with one or more languages for querying and analysis (e.g. SQL, Python).
• Strong analytical skills and must be comfortable with analysis of quantitative data.
• Good structural thinker.
• Experience working with multiple stakeholders across various divisions.
• Satisfactory understanding in English.
• Self-driven with willingness to learn and improve.
• Strong sense of responsibility and ability to work in fast-paced and growth changed environment.
• Experience working with unstructured data is not necessary but is a plus.

Skills:

SAS, SQL, Python

Job type:

Full-time

• วุฒิการศึกษาระดับปริญญาตรีขึ้นไป ด้านการบัญชี เศรษฐศาสตร์ สถิติ MIS วิศวกรรมคอมพิวเตอร์ วิทยาการคอมพิวเตอร์ การเงิน บริหารความเสี่ยง วิศวกรรมการเงิน หรือสาขาที่เกี่ยวข้อง.
• มีประสบการณ์ ด้านบริหารความเสี่ยงด้านสินเชื่อ หรือบริหาร Portfolio หรือมีประสบการณ์ที่เกี่ยวข้อง อย่างน้อย 3 ปี.
• สามารถวิเคราะห์ความเสี่ยงหรือประเมินความเสี่ยง เพื่อให้สอดคล้องกับคุณภาพของสินเชื่อและเป้าหมายขององค์กร.
• มีความรู้ด้านผลิตภัณฑ์สินเชื่อรายย่อย และกระบวนพิจารณาสินเชื่อรายย่อย.
• สามารถนำเสนอและสื่อสารได้ดี.
• สามารถใช้ภาษาอังกฤษได้ในระดับดี.
• สามารถใช้โปรแกรม SAS, SQL, MS เชิงลึก และ Python เป็นต้น.
• ท่านสามารถอ่านและศึกษานโยบายความเป็นส่วนตัวของธนาคารกรุงไทย จำกัด (มหาชน) ที่ https://krungthai.com/th/content/privacy-policy ทั้งนี้ ธนาคารไม่มีเจตนาหรือความจำเป็นใดๆ ที่จะประมวลผลข้อมูลส่วนบุคคลที่มีความอ่อนไหว รวมถึงข้อมูลที่เกี่ยวข้องศาสนาและ/หรือหมู่โลหิต ซึ่งอาจปรากฏอยู่ในสำเนาบัตรประจำตัวประชาชนของท่านแต่อย่างใด ดังนั้น กรุณาอย่าอัปโหลดเอกสารใดๆ รวมถึงสำเนาบัตรประจำตัวประชาชน หรือกรอกข้อมูลส่วนบุคคลที่มีความอ่อนไหวหรือข้อมูลอื่นใด ซึ่งไม่เกี่ยวข้องหรือไม่จำเป็นสำหรับวัตถุประสงค์ในการสมัครงานไว้บนเว็บไซต์ นอกจากนี้ กรุณาดำเนินการให้แน่ใจว่าได้ดำเนินการลบข้อมูลส่วนบุคคลที่มีความอ่อนไหว (ถ้ามี) ออกจากเรซูเม่และเอกสารอื่นใดก่อนที่จะอัปโหลดเอกสารดังกล่าวไว้บนเว็บไซต์แล้วด้วย ทั้งนี้ ธนาคารมีความจำเป็นต้องเก็บรวบรวมข้อมูลส่วนบุคคลเกี่ยวกับประวัติอาชญากรรมของท่านเพื่อบรรลุวัตถุประสงค์ในการพิจารณารับบุคคลเข้าทำงาน หรือการตรวจสอบคุณสมบัติ ลักษณะต้องห้าม หรือพิจารณาความเหมาะสมของบุคคลที่จะให้ดำรงตำแหน่ง ซึ่งการให้ความยินยอมเพื่อเก็บรวบรวม ใช้ หรือเปิดเผยข้อมูลส่วนบุคคลเกี่ยวกับประวัติอาชญากรรมของท่านมีความจำเป็นสำหรับการเข้าทำสัญญาและการได้รับการพิจารณาตามวัตถุประสงค์ดังกล่าวข้างต้น ในกรณีที่ท่านไม่ให้ความยินยอมในการเก็บรวบรวม ใช้ หรือเปิดเผยข้อมูลส่วนบุคคลเกี่ยวกับประวัติอาชญากรรม หรือมีการถอนความยินยอมในภายหลัง ธนาคารอาจไม่สามารถดำเนินการเพื่อบรรลุวัตถุประสงค์ดังกล่าวข้างต้นได้ และอาจ ทำให้ท่านสูญเสียโอกาสในการได้รับการพิจารณารับเข้าทำงานกับธนาคาร .