เงื่อนไขการค้นหา

ประสบการณ์:

2 ปีขึ้นไป

ทักษะ:

SQL, English

ประเภทงาน:

งานประจำ

• Manage end-to-end marketing initiatives such as CRM to drive new user acquisition and retention, including mechanics planning, budget optimization, user segment breakdown, A/B testing and performance analysis.
• Provide details plans for marketing campaigns or A/B testings, aligning them with the overall business objectives.
• 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.

ประสบการณ์:

3 ปีขึ้นไป

ทักษะ:

Statistics, GraphQL, SQL

ประเภทงาน:

งานประจำ

• Bridging business requirements with technical feasibility across multiple domains.
• Translating ambiguous business problems into clear technical specifications and data models.
• Working end-to-end: requirement gathering, solution design, modeling, API/services, and platform integration.
• Communicating with cross-functional teams (domain experts, business, data, infra, product).
• Turning business objectives into data-driven solutions with clear problem statements and measurable outputs.
• Handling messy, incomplete, or unstructured data and transforming it into usable features or insights.
• Deploying models into production with reliability, performance, and maintainability.
• Integrating ML solutions into full-stack systems (APIs, backend logic, dashboards).
• Qualifications:Bachelor/Master/Doctorate degree in Computer Engineering, Computer Science, Statistics, Applied Science, or related fields (Bachelor G.P.A. > 2.70, Master G.P.A. > 3.30).
• 3-5 years of experience as a Data Scientist or related roles.
• Experience in Data Science & Machine Learning, NLP, LLM & RAG, Software Engineering & Systems, and Business & Analytical Competencies.
• Skilled in algorithms and data structures, clean OOP-based architecture, REST/GraphQL APIs, SQL/NoSQL databases, and cloud platforms (AWS/GCP/Azure).
• Good communication, coordination, and problem-solving skills.
• Willing to work in an on-site mode at SCG Headquarters, Bangsue, Bangkok.
• Contact: Pupat (Mac) Email: [email protected]

ประสบการณ์:

5 ปีขึ้นไป

ทักษะ:

SQL, DevOps, Automation, English

ประเภทงาน:

งานประจำ

• Design, develop, and optimize ETL processes using Databricks to support large-scale data processing and analytics.
• Build and maintain batch and stream ETL/ELT workflows for structured and semi-structured data using data bricks and Azure Services.
• Establish integration between prem platform and azure storage to establish the incremental copy.
• Develop efficient, reusable, and version-controlled Databricks notebooks and workflows.
• Implement data transformation, cleansing, and validation logic to ensure data accuracy.
• Design and manage curated data layers supporting reporting and advanced analytics.
• Establish data quality, lineage, and governance practices across the Databricks platform.
• Collaborate with data analysts, BI developers, and data scientists to deliver analytical datasets.
• Leverage SQL/Spark for data extraction, transformation, and analysis.
• Apply strong problem-solving and debugging skills to identify and resolve issues in data pipelines and workflows.
• Migrate the reports from Traditional database to Databricks environment with optimized schema and schema structures and validate the data.
• Collaborate with cross-functional teams to ensure data integrity, performance optimization, and alignment with business objectives.
• Implement DevOps practices such as CI/CD automation and version control to streamline deployment and management of Databricks workflows.
• Your role as a leader: At Deloitte, we believe in the importance of empowering our people to be leaders at all levels. We connect our purpose and shared values to identify issues as well as to make an impact that matters to our clients, people and the communities. Additionally, Associates / Analysts / Consultants across our Firm are expected to:Demonstrate a strong commitment to personal learning and development.
• Understand how our daily work contributes to the priorities of the team and business.
• Understand the set expectations and demonstrate accountability in keeping personal performance on track.
• Actively focus on developing effective communications and relationship-building skills with stakeholders, clients and team.
• Demonstrate an appreciation for working with others.
• Understand what is fundamental to Deloitte s success as a business.
• Demonstrate integrity and an awareness of strengths, differences, and personal impact.
• Develop their understanding of Deloitte and offer a fresh perspective.
• Requirements:Minimum 5 - 10 years of experience.
• Possess 5 years in solution, architecting, design and development experience in enterprise/ architecture projects.
• Experienced in managing full development lifecycle phases, designing enterprise software and defining solution architectures and technology.
• Applying design concepts - Service oriented architecture, layered architectures, components, interfaces, messaging and patterns.
• Application integration service support components.
• Designing and integrating applications and SaaS solutions using technology stacks and cloud service providers, such as Microsoft (e.g. Azure, power BI,Tableau),.
• BI service support components (e.g. Data warehouse, extract-transform-load processes, databases).
• Azure Data Factory, Azure Databricks, Hadoop Exposure.
• E2E integration experience (Hybrid cloud model).
• Strong verbal and written communication, presentation and collaboration skills. Good relationship building skills are necessary, including the ability to build a rapport and communicate effectively with all levels of the customer.
• Good command over verbal and written English.
• work closely with application development and testing teams to support Data ETL build and supports project activities especially on Data and ETL platforms.
• Release Management (strong in GIT) and Azure Control M.
• Good to Have:Continued learning certifications, at least one of the following: AWS Certified Solutions Architect, Google Cloud Certified Architect, Microsoft Azure Solutions Architect,.
• Cloud [Software] Systems Engineer, Customer Solutions Engineer [Cloud / Data, Analytics/AI] or combination of experience as DevOps Engineer, Data Architect, Cloud/SaaS Software Developer.
• Due to volume of applications, we regret that only shortlisted candidates will be notified.
• Please note that Deloitte will never reach out to you directly via messaging platforms to offer you employment opportunities or request for money or your personal information. Kindly apply for roles that you are interested in via this official Deloitte website.
• Requisition ID: 112016In Thailand, the services are provided by Deloitte Touche Tohmatsu Jaiyos Co., Ltd. and other related entities in Thailand ("Deloitte in Thailand"), which are affiliates of Deloitte Southeast Asia Ltd. Deloitte Southeast Asia Ltd is a member firm of Deloitte Touche Tohmatsu Limited. Deloitte in Thailand, which is within the Deloitte Network, is the entity that is providing this Website.

ประสบการณ์:

5 ปีขึ้นไป

ทักษะ:

SQL, MongoDB, MySQL, English

ประเภทงาน:

งานประจำ

• Department: Information Technology.
• Company: บริษัท จีเอ็มเอ็ม มิวสิค จำกัด (มหาชน).
• Control and manage the company's IT infrastructure team.
• Install, manage, and maintain the data center.
• Install, manage, and maintain the company's storage and servers.
• Install, manage, and maintain the internal and external network connections.
• Install, manage, and maintain connections between cloud systems (AWS and GCP).
• Install, manage, and maintain databases using SQL Server, MongoDB, and MySQL.
• Install, manage, and maintain the company's container services using Docker.
• Install, manage, and maintain the company's mail server (Exchange, O365 Platform, and ZMail).
• Install, manage, and maintain virtualization servers.
• Install, manage, and maintain backup systems.
• Install, manage, and maintain network security systems (firewall).
• Verify and manage company licenses to ensure accuracy and compliance.
• Research and design network systems to connect core systems with new technologies.
• Collaborate with partner companies to find new solutions for improvement and development.
• Research and propose new technology recommendations to align with business needs and support future expansion.
• Collaborate with the procurement department to verify computer and related peripheral equipment purchase prices.
• Study and resolve data and errors encountered in system usage.
• Other tasks as assigned..
• Bachelor s/Master s degree in Information Technology or a related field.
• Minimum 5 years of experience in System Engineer (SE) or related roles.
• Experience using Microsoft Business Center (BC365).
• Experience with Microsoft SQL Server 201x Version.
• Experience installing, maintaining, and using Esxi, V-Center, IIS, and Microsoft family products.
• Experience with Veem Backup and Tape Backup installation, maintenance, and usage.
• Experience with Cisco family installation, maintenance, and usage.
• Good English skills in writing, reading, and speaking.
• Experience in the retail business or related fields.
• Passionate about customer service and able to work well under pressure.
• Able to work onsite 5 days a week (Flexible working hours)..
• ประสบการณ์ 5 ปีขึ้นไป.
• จำนวน 1 อัตรา.

ประสบการณ์:

1 ปีขึ้นไป

ทักษะ:

Statistics, Excel, SQL, English

ประเภทงาน:

งานประจำ

• Responsible for instructions of client deliverables, coding and data input validation focusing on specific industry/category or set of categories.
• Does cross coding and item-related quality checks on a daily basis.
• May act as a back-up to other coders when needed; conduct physical store check to validate item-related information.
• Keep track/document special instructions related to category assignment.
• Plan and execute a complex daily personal workload and support to meet departmental and company schedules.
• Ensure accuracy throughout the process, from validation before database setup to managing samples, and identify areas for improvement.
• Answer external questions and act as a liaison with everyone from clients to stakeholders; To be able to identify, investigate and coordinate the resolution of data, process, or product related queries.
• Willing to be trained to be a category expert.
• Bachelor s degree in Mathematics / Computer Science / Business Admin / Statistics or any relevant subjects.
• Fresh graduate or with 1 year experience in data and operational areas are welcome.
• FMCG background or experience as an encoder is a plus.
• Able to work as part of a team in a multicultural environment.
• Passionate in data. A high degree of accuracy, proactivity, good analytical skill and logical thinking.
• High level of accountability and willingness to take ownership.
• Eager to learn and willingness to grow.
• Excel is mandatory; One or more of the following would be added advantage: (SQL, R or Python).
• Proactively, willing to voice out and share opinion.
• Excellent written and verbal communication skills in English and Thai language proficiency is required.
• This is a 3 months contract role.
• Additional Information.
• NIQ may utilize artificial intelligence (AI) tools at various stages of the recruitment process, including résumé screening, candidate assessments, interview scheduling, job matching, communication support, and certain administrative tasks that help streamline workflows. These tools are intended to improve efficiency and support fair and consistent evaluation based on job-related criteria. All use of AI is governed by NIQ s principles of fairness, transparency, human oversight, and inclusion. Final hiring decisions are made exclusively by humans. NIQ regularly reviews its AI tools to help mitigate bias and ensure compliance with applicable laws and regulations. If you have questions, require accommodations, or wish to request human review were permitted by law, please contact your local HR representative. For more information, please visit NIQ s AI Safety Policies and Guiding Principles: https://www.nielseniq.com/global/en/ai-safety-policies.
• Our Benefits.
• Flexible working environment.
• Volunteer time off.
• LinkedIn Learning.
• Employee-Assistance-Program (EAP).
• About NIQ.
• NIQ is the world s leading consumer intelligence company, delivering the most complete understanding of consumer buying behavior and revealing new pathways to growth. In 2023, NIQ combined with GfK, bringing together the two industry leaders with unparalleled global reach. With a holistic retail read and the most comprehensive consumer insights delivered with advanced analytics through state-of-the-art platforms NIQ delivers the Full View&trade. NIQ is an Advent International portfolio company with operations in 100+ markets, covering more than 90% of the world s population.
• For more information, visit NIQ.com.
• Want to keep up with our latest updates?.
• Our commitment to Diversity, Equity, and Inclusion.
• At NIQ, we are steadfast in our commitment to fostering an inclusive workplace that mirrors the rich diversity of the communities and markets we serve. We believe that embracing a wide range of perspectives drives innovation and excellence. All employment decisions at NIQ are made without regard to race, color, religion, sex (including pregnancy, sexual orientation, or gender identity), national origin, age, disability, genetic information, marital status, veteran status, or any other characteristic protected by applicable laws. We invite individuals who share our dedication to inclusivity and equity to join us in making a meaningful impact. To learn more about our ongoing efforts in diversity and inclusion, please visit the https://nielseniq.com/global/en/news-center/diversity-inclusion.

ประสบการณ์:

1 ปีขึ้นไป

ทักษะ:

Data Analysis, SQL, Energetic, English

ประเภทงาน:

งานประจำ

• Reconcile, review, and correct merchant data from submissions.
• Prepare, review, and update the working SOP.
• Coordinate with related teams to solve the problem.
• Support ad-hoc task upon request.
• Prepare and perform data analysis report upon request.
• Be ready and always prepare for unexpected circumstances and be willing to make it work.
• Requirements: Bachelor s Degree in Business Administration and related field.
• 1 - 2 years experience in KYB/KYC, Onboarding or related fields would be a plus.
• Basic SQL would be a plus.
• Basic-Good in English communication.
• Good in MS office program.
• Critical thinking and willing to learn.
• Hard-working and energetic personality with Can-Do attitude.
• Details-oriented with skepticism skill.

ประสบการณ์:

3 ปีขึ้นไป

ทักษะ:

Industry trends, SQL, NoSQL, English

ประเภทงาน:

งานประจำ

• Design and work on all aspects of bringing ML models into production, develop CI/CD pipelines by collaborating with other disciplines such as data engineering, application development, cloud infrastructure, and security to implement AI solutions in production.
• Work collaboratively with data scientists along the machine learning lifecycle from data pipeline, data preparation, model deployment, and model monitoring.
• Understand and assess AI/ML industry trends to leverage technologies, continuously i ...
• Provide architectural and technical leadership to drive AI/ML capabilities.
• Initiate innovation and development projects to continuously improve the overall efficiency of the team in the engineering aspect.
• Professional Knowledge & Experiences.
• Degree in computer science or related fields, with concentration in Machine Learning/AI engineering.
• At least 3 years of experience in implementing and deploying Machine Learning solutions (using various models, such as Linear/Logistic Regression, Support Vector Machines, Neural Networks, etc.). Expertise with Data Science and experience with manipulating/transforming data, model selection, model training, and deployment at scale.
• Knowledge and experience in database technologies, such as SQL, NoSQL, and demonstrate knowledge of databases (Google BigQuery preferred), Data ETL framework (Airflow), ML libraries (scikit-learn, XG Boost, PyTorch, etc.), ML Frameworks (Kubeflow, MLFlow, etc.).
• Knowledge and experience in Kubernetes technology. Be able to develop CI/CD pipeline, deploy workloads, configure and monitor jobs on kubernetes clusters.
• Significant proficiency in Python. Experience working with GCP is preferrable.
• Ability to work in cross functional teams, have team-work mindset, self-motivation.
• Excellent written and verbal communication skills in English.
• Additional Desirable Qualification.
• Solid grounding in statistics, probability theory, data modelling, machine learning algorithms and software development techniques and languages used to implement analytics solutions.
• Extensive background in statistical analysis and modeling (distributions, hypothesis testing, probability theory, etc.).
• CORE Competencies.

ทักษะ:

SQL, ETL, Project Management, English

ประเภทงาน:

งานประจำ

• Consolidate requirements from various business functions and create common business data models within data warehouse for each business function to serve business needs.
• Working with Data Governance, Data Management, and Data Engineering team to setup data warehouse model and working with business users to develop data marts.
• Assessing the effectiveness and accuracy of data sources and data gathering techniques.
• Applying strong expertise in business intelligence skills set to develop customized and innovative solutions.
• Developing best practice for analytic and business intelligence solutions.
• Working with the IT function and project leaders in providing technical guidance regarding data architecture, data models and data management and translate business needs into requirements for analytics and business intelligence solutions.
• Always stay on latest data and BI technologies.
• Designs and develops BI relevant solutions, data model, data mart, data warehouse, report, and dashboard.
• Professional Knowledge & Experiences.
• A bachelor s degree in computer science, engineering or IT related field.
• Proficient knowledge of SQL and Relational Database, knowledge on google cloud is a plus.
• Experience in any ETL, data mart, data warehouse, data modeling design.
• Experience in any BI visualize tools, PowerBI or TIBCO Spotfire is a plus.
• Experience working with Product Owners or Business users to understand business needs, define scope and translating requirements into technical specifications.
• Strong problem-solving skills.
• A drive to learn.
• A good command of the English language.
• Preferably experience and skills in project management.
• Preferably a knowledge of or a background in the oil & gas industry.
• Additional Desirable Qualification.
• CORE Competencies.

ประสบการณ์:

5 ปีขึ้นไป

ทักษะ:

Statistics, ETL, SQL

ประเภทงาน:

งานประจำ

• Providing technical guidance related to data architecture, data models and meta data management to IT function and imitative leaders.
• Define and implement data flows through/ and around digital products.
• Participate in data modeling and testing to ensure smooth operations.
• Extract relevant data to solve analytical problems, and ensure development teams have the required data.
• Interact with the initiative leaders to understand all data requirements used for business insights development, and translates into data structures and data model requirements to IT function.
• Develop set processes for data profiling, data quality, data transformation, data mining and data protection.
• Work closely with database teams on topics related to data requirements, cleanliness, accuracy, and etc.,.
• Track analytics impact on business, and provide recommendation for better result.
• Monitor market watch, and provide recommendation to improve efficiency of current projects.
• Professional Knowledge & Experiences.
• Bachelor s Degree in computer science, statistics, or related technical discipline.
• 5+ years experience with advanced data management system and master data management.
• Experience in developing applications in high volume data staging/ ETL environments and proficient in advanced SQL skills, Python programming and familiar with pandas scikit-learn, matplotlib, numpy, dash library.
• Experience in using Data Analytics products such as BigQuery, Apache Kafka, Apache Airflow, Cloud Storage, etc.
• Clear understanding in different data domains of operations, customers, etc.
• Ability to quickly learn new technologies.
• Additional Desirable Qualification.
• CORE Competencies.

ประสบการณ์:

1 ปีขึ้นไป

ทักษะ:

Project Management, SQL

ประเภทงาน:

งานประจำ

• Own E2E returns performance: set and deliver SLAs.
• Drive process optimization, root cause analysis, and incident management for SLA breaches; implement corrective measures and continuous improvement.
• Balance speed vs cost: model trade offs and recommend operational choices to optimize both customer experience and unit economics.
• Partner with internal and external parties to ensure changes are safe and SLA-compliant.
• Lead ad-hoc incident response affecting return experience and communicating status/mitigations to stakeholders and leadership.
• Requirements: 1 - 3 years in high-volume e commerce operations, preferably return operations.
• Hands-on SLA ownership, process improvement and incident management.
• Strong analytics: comfortable with metrics, dashboards and basic SQL.
• Strong stakeholder communication skills.

ประสบการณ์:

2 ปีขึ้นไป

ทักษะ:

SQL, English

ประเภทงาน:

งานประจำ

• 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.

ประสบการณ์:

2 ปีขึ้นไป

ทักษะ:

SQL, English

ประเภทงาน:

งานประจำ

• Manage marketing campaign initiatives including mechanics planning, budget optimization, user segment breakdown, testing and performance analysis.
• Provide details plans for marketing campaigns or testing initiatives, aligning them with the overall business objectives.
• Regularly review and analyze key commercial/marketing metrics to provide insights that guide decision-making for campaign improvement.
• Conduct data-driven analysis to serve current business direction for ShopeePay, SeaMoney and related 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.
• Provide actionable insights and recommendations that will be used to support or devise new marketing strategies.
• Support other special projects as requested.
• Requirements: Bachelor or Master s degree in Marketing, Business, Economics, Data Analytics, or related field of study.
• 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.
• 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.

ประสบการณ์:

5 ปีขึ้นไป

ทักษะ:

Excel, SQL

ประเภทงาน:

งานประจำ

• Own short-term and long-term workforce planning for FBS operations, including peak planning (e.g. campaign, mega sale, seasonal spikes).
• Translate demand forecasts and volume projections into manpower requirements across warehouses and fulfillment nodes.
• Balance service level targets with cost efficiency through effective workforce sizing and deployment.
• Monitor workforce productivity, utilization, and efficiency metrics; identify gaps and drive improvement initiatives.
• Develop and track key WFM KPIs such as staffing accuracy, shrinkage, overtime, productivity, and attendance.
• Drive continuous improvement projects to optimize labor cost and operational performance.
• Requirements: Bachelor s degree in Engineering, Operations Management, Business, Analytics, or a related field.
• 5-8+ years of experience in Workforce Management, Capacity Planning, Operations Planning, or Supply Chain (logistics, e-commerce, or fulfillment preferred).
• Strong analytical skills with experience using data to drive decisions (Excel, SQL, BI tools preferred).
• Proven experience managing workforce planning in a fast-paced, high-volume operational environment.
• Strong stakeholder management and communication skills.
• Ability to work under pressure and manage ambiguity in a rapidly scaling business.
• Experience with large-scale operations or multi-site environments is a strong plus.

ทักษะ:

Compliance, Data Analysis, SQL

ประเภทงาน:

งานประจำ

• Enforce enterprise data quality management framework.
• Develop data profiling and observe any trends or issues to raise with data stewards or senior management.
• Define data quality metrics requirements with Data Stewards (e.g. DQ dimensions, business rules, data quality index, reports) in compliance with Data Quality standards.
• Generate DQI dashboard based on the results.
• Consolidate DQI performance results on overall data health at an enterprise level.
• Coordinate remediation plans with Data Stewards.
• Monitor outcome of data quality improvement initiatives.
• Support business engagement on data quality improvement initiatives.
• Collaborate with DataX (Centralized Data Hub) Define data quality metrics requirements in compliance with data quality standards for data in SCB data zone.
• Monitor DQI performance results on overall data health for data in SCB data zone.
• Perform data quality profiling, issues investigation and remediation plan in SCB data zone.
• Consult on the escalation of data quality issues investigation and remediation to DataX Data Governance.
• Qualification Senior Bachelor s or master s degree in information systems, computer science, information technology or related discipline.
• Experience in data management e.g. data governance program implementation and data quality program implementation in banking or other industry.
• Experience in data analysis, data profiling, and communicating concepts and results to a variety of audiences.
• Experience in using data visualization or reporting tools i.e. Business Intelligence tool, Data Quality tool, or statistical package.
• Good knowledge of programming languages particularly in SQL and statistical knowledge.
• Good understanding of banking products, respective data domains, as well as relationships with system domains and banking data concepts with emphasis on metadata definitions (business and technical).
• Ability to absorb information and data from multiple sources, apply strong analytical skills, and provide thoughtful and strategic recommendations to deliver tangible business value.
• Ability to work on cross-functional units with excellent verbal & written communication skills.
• Junior Bachelor s degree in information systems, computer science, information technology or related discipline.
• Good knowledge of programming languages particularly in SQL and statistical knowledge.
• Experience in data analysis, data profiling, and communicating concepts and results to a variety of audiences.
• Experience in using data visualization or reporting tools i.e. Business Intelligence tool, Data Quality tool, or statistical package.
• 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.

ประสบการณ์:

ไม่จำเป็นต้องมีประสบการณ์ทำงาน

ทักษะ:

Python, SQL, Database Administration, English, Thai

ประเภทงาน:

งานประจำ

• Guide and train new customers to confidently use our system.
• Monitor customer activity, troubleshoot basic issues, and coordinate with internal teams.
• Analyze and manage customer data to ensure readiness for real-time use.
• Work closely with logistics, operations, and tech teams to deliver a seamless onboarding experience.
• Travel and visit customer sites.
• Experience in Customer Support or Data Analysis is a plus new graduates are welcome to apply.
• Proficiency in Excel and SQL; Python skills are a plus.
• Excellent communication skills in both Thai and English.
• Adaptable, quick to learn, and able to work under pressure.
• Educational background in IT, Computer Science, or related fields is preferred.
• Allows you to apply your skills in data, technology, and customer service.
• Supports your personal and professional development.

ทักษะ:

Big Data, SQL, English

ประเภทงาน:

งานประจำ

• Gather, organize, and analyze data as it pertains to fraud case development through the use of.
• analytical, tracking, and data management toolsCoordinate with the risk team, operations team and customer service team to further develop.
• fraud cases, and report to product teams abroad to come up with anti-fraud processes for changing transactions patterns and trendsDevelop well-defined tools related to detecting suspicious points of fraud activity using raw data.
• and identifying potential cases through the use of in-house tools to update and query the databaseSet up process to deal with possible issues (new and existing features, promotions, workflows,.
• projects)Deal with systemic abnormality and complexity in Operations functions.
• Demonstrate leadership to guide the overall project requirements in initiation, planning, execution,.
• monitoring, evaluation, and closure
• Requirements:Bachelor s or Master s degree in Engineering, BBA, or any related field. Fresh graduates are.
• welcome to applyAbility to analyze big data for patterns or business trends, and take findings and communicate.
• them effectivelyProficient in working with numbers and data organization, especially with MS Excel or Gsheet.
• Detail-oriented and organized. Works well in a small team environment.
• Excellent interpersonal, communication skills and good command of English.
• Proficient in using SQL to analyze data, drive insights, and create dashboards and visualizations.
• is a plus

ประสบการณ์:

1 ปีขึ้นไป

ทักษะ:

Financial Analysis, Excel, SQL, English

ประเภทงาน:

งานประจำ

• Analyze financial performance both at platform level and on targeted initiative basis - identify business opportunities and influence budget approval and allocation process based on financial analysis.
• Analyze financial performances across different Shopee markets in Southeast Asia and other Regions.
• Manage internal cost and performance tracking process with the goal of improving this workflow over time.
• Summarize key results and present to senior management on a bi-weekly basis or as required for project approvals.
• Liaise internally and externally across multiple teams to obtain necessary information for analysis and ensure successful execution of given projects.
• Support other functions in budget planning, budget request process inquiries, and budget execution on a daily basis.
• Work closely with budget owners to support the annual, quarterly and monthly budget process. Perform analysis on prior years/quarters/months spending.
• Build forecasts using historic trends plus commercial input from business functions. Perform the monthly analysis and discuss the forecast with the related budget owners. Control of the monthly spending versus expected forecast.
• Requirements: 1-2 years of experience in related field.
• Prior experience in audit, finance, banking or consulting is an advantage.
• Proficient with financial terms and concepts with good understanding of standard business P&L items.
• Strong stakeholders management and communication skills.
• Outstanding structural thinker, with strong time-management and organizational skills.
• Self-driven with willingness to learn and improve.
• Strong sense of responsibility and able to work under pressure to deliver results.
• Fluent in English, Proficient in Excel; Technical skills such as SQL is a plus but not required.

ประสบการณ์:

5 ปีขึ้นไป

ทักษะ:

Electrical Engineering, SQL, Tableau

ประเภทงาน:

งานประจำ

• Bachelor's degree in Mechanical or Electrical Engineering or equivalent practical experience.
• 5 years of experience with managing the end-to-end construction project/product lifecycle (e.g., process developments, implementation and improvement.
• 5 years of infrastructure experience in the operation and construction of data center, semiconductor, pharmaceutical, power, nuclear, or other 24X7 mission critical facilities.
• 10 years of experience managing end-to-end project/product lifecycle (e.g., process developments, implementation and improvement).
• 10 years of infrastructure experience in the operation and construction of data center, semiconductor, pharmaceutical, power, nuclear, or other 24X7 mission critical facilities.
• Experience leading cross-functional process improvements and the development and implementation of construction Quality and Commissioning Programs.
• Experience with the construction of hyperscale data centers.
• Experience with SQL, Tableau, metrics dashboards, data visualization, and Google Workspace.
• Knowledge of data center structural, electrical, mechanical, and controls equipment.
• Our mission as Construction Quality and Commissioning (QCx) is to design, build, and operate a fact-based quality management system that provides predictable quality and a closed loop learning culture from design through operations for our global data centers. We strive to optimize construction quality and the commissioning process through data-driven decision making, in order to deliver data centers with the highest quality and reliability in the industry.
• As a team, we are committed to growing a culture of excellence and collaboration, and to continuously improving our processes and outcomes in order to exceed industry standards and the expectations of our stakeholders.
• As a Technical Program Manager, you ll use your technical expertise to lead complex, multi-disciplinary projects from start to finish. You ll work with stakeholders to plan requirements, identify risks, manage project schedules, and communicate clearly with cross-functional partners across the company. You will be responsible for developing the Commissioning Strategy and relevant documentation (i.e., specifications, test plans, checklists, guides) for mechanical or electrical equipment, supporting the APAC region.
• In this role, you will utilize an understanding of data center construction standards, quality control and assurance processes, and commissioning procedures to ensure the successful delivery of high-quality, reliable, and efficient data center facilities. You will also support a portfolio of construction projects to ensure the successful implementation of the general construction quality program and reduce cost of poor quality in our construction projects.
• Source commissioning agents and developing strategy and relevant documents (i.e., specifications, test plans, checklists, guides, trainings). Hold necessary cross-functional team reviews and onboarding project stakeholders.
• Participate/facilitate vendor meetings to set expectations on Commissioning requirements, verify feasibility of strategy and documenting agreements.
• Ensure document workflow approval in collaboration with the QCx librarian. Report the quality and commissioning status for the full lifecycle of the construction project.
• Monitor and oversee the implementation of all construction quality and commissioning processes by our project management consultants, general contractors, electrical/mechanical trades, and quality and commissioning agents.
• Identify risks to a project and develop mitigation strategies with the project team. Work and collaborate on regional/global initiatives to improve the Construction Quality Program.
• Google is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. See also Google's EEO Policy and EEO is the Law. If you have a disability or special need that requires accommodation, please let us know by completing our Accommodations for Applicants form.

ทักษะ:

Data Analysis, SQL, Problem Solving, English

ประเภทงาน:

งานประจำ

• Working closely with business and technical domain experts to identify data requirements that are relevant for analytics and business intelligence.
• Implement data solutions and data comprehensiveness for data customers.
• Working closely with engineering to ensure data service solutions are ultimately delivered in a timely and cost effective manner.
• Retrieve and prepare data (automated if possible) to support business data analysis.
• Ensure adherence to the highest standards in data privacy protection and data governance.
• Bachelor s of Master s Degree in Computer Science, Computer Engineering, or related.
• Minimum of 1 Year with relational/non-relational database systems and good command in SQL.
• Ability to meet critical deadlines and prioritize multiple tasks in a fast-paced environment.
• Ability to work independently, have strong problem solving and organization skills, with a high initiative and a sense of accountability and ownership.
• Experience with cloud-based platforms such as AWS, Google Cloud platform or similar.
• Experience in data processing batch / real time / nearly realtime.
• Experience with data integration or ETL management tools such as AWS Glue, Databrick,or similar.
• Experience with web or software development with Java,Python or similar.
• Experience with Agile methodology is a plus.
• Good in communication and writing in English.
• Good interpersonal and communication skills.

ประสบการณ์:

2 ปีขึ้นไป

ทักษะ:

Research, Python, SQL

ประเภทงาน:

งานประจำ

• 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.