דרושים Senior Business Analyst Cngs Central Bi ב-אמזון ב-Thailand, Bangkok

AGS-AIT is looking for a Senior Data Scientist to lead and drive Gen-AI and Science initiatives.Key job responsibilities
• Collaborate with BIE,DE, PM, CSM to research, design, develop, and evaluate generative AI solutions to address Global Selling challenges.
• Interact with stakeholders directly to understand their business problems, aid them in implementation of generative AI solutions, brief stkaholders and guide them on adoption patterns and paths to production
• Create and deliver best practice recommendations, tutorials, blog posts, sample code, and presentations adapted to technical, business, and executive stakeholder

- 8+ years of data scientist or similar role involving data extraction, analysis, statistical modeling and communication experience
- 6+ years of data querying languages (e.g. SQL), scripting languages (e.g. Python) or statistical/mathematical software (e.g. R, SAS, Matlab, etc.) experience
- Master's degree in a quantitative field such as statistics, mathematics, data science, business analytics, economics, finance, engineering, or computer science
- Experience with statistical models e.g. multinomial logistic regression
- 5+ years of hands on experience with Python to build, train, and evaluate models

- 2+ years of data visualization using AWS QuickSight, Tableau, R Shiny, etc. experience
- Experience managing data pipelines
- Experience as a leader and mentor on a data science team
- Experience working with data engineers and business intelligence engineers collaboratively

The Amazon Web Services (AWS) Proactive Security Detective Tooling (PSDT) team is looking for a Software Development Engineer who has a strong passion for security at scale. You will work on a team dedicated to building services that discover and audit AWS-owned infrastructure and services for misconfigurations that could lead to security issues. You'll work on solving security challenges at scale, including critical data processing pipelines, high-availability, and fault-tolerant systems. You'll be at the forefront of building and operating large-scale, high-throughput, 24x7 services.Our team deals with immense quantities of data, pushing the envelope on scale and various advanced analytical techniques to find and mitigate security threats. You’ll be expected to develop robust large-scale distributed systems for processing data and to provide technical leadership to other engineers to do the same. While you may not be a security expert just yet, you have a passion for solving security challenges in innovative ways. You’ll develop a broad and deep understanding of the overall AWS security posture and develop many of the core technology components to improve and scale.Key job responsibilities
In this role, you will -
· Be a technical leader that is not afraid to challenge the norms and innovate.
· Own, drive, and deliver software solutions.
· Execute against project plans and delivery commitments.
· Develop relationships with internal and external partner teams to move fast.
· Help establish the long-term success strategy for your systems, development best practices, and operational excellence processes.
· Collaborate with peers to ensure your strategies are in alignment with the rest of the development teams.
· Develop junior and new team members by mentoring them on multiple fronts.A day in the life
About the team
Diverse Experiences
Amazon Security values diverse experiences. Even if you do not meet all of the qualifications and skills listed in the job description, we encourage candidates to apply. If your career is just starting, hasn’t followed a traditional path, or includes alternative experiences, don’t let it stop you from applying.Training & Career Growth
We’re continuously raising our performance bar as we strive to become Earth’s Best Employer. That’s why you’ll find endless knowledge-sharing, training, and other career-advancing resources here to help you develop into a better-rounded professional.Work/Life Balance

- 3+ years of non-internship professional software development experience
- 2+ years of non-internship design or architecture (design patterns, reliability and scaling) of new and existing systems experience
- Experience programming with at least one software programming language

- 3+ years of full software development life cycle, including coding standards, code reviews, source control management, build processes, testing, and operations experience
- Bachelor's degree in computer science or equivalent

Key job responsibilities
• Design and implement end-to-end data pipelines (ETL) to ensure efficient data collection, cleansing, transformation, and storage, supporting both real-time and offline analytics needs.
• Develop automated data monitoring tools and interactive dashboards to enhance business teams’ insights into core metrics (e.g., user behavior, AI model performance).
• Collaborate with cross-functional teams (e.g., Product, Operations, Tech) to align data logic, integrate multi-source data (e.g., user behavior, transaction logs, AI outputs), and build a unified data layer.
• Establish data standardization and governance policies to ensure consistency, accuracy, and compliance.
• Provide structured data inputs for AI model training and inference (e.g., LLM applications, recommendation systems), optimizing feature engineering workflows.
• Explore innovative AI-data integration use cases (e.g., embedding AI-generated insights into BI tools).
• Provide technical guidance and best practice on data architecture and BI solution

- 4+ years of data engineering experience
- Experience with data modeling, warehousing and building ETL pipelines
- Experience with AWS technologies like Redshift, S3, AWS Glue, EMR, Kinesis, FireHose, Lambda, and IAM roles and permissions
- Experience programming with at least one modern language such as C++, C#, Java, Python, Golang, PowerShell, Ruby

Key job responsibilities
• Design and implement end-to-end data pipelines (ETL) to ensure efficient data collection, cleansing, transformation, and storage, supporting both real-time and offline analytics needs.
• Develop automated data monitoring tools and interactive dashboards to enhance business teams’ insights into core metrics (e.g., user behavior, AI model performance).
• Collaborate with cross-functional teams (e.g., Product, Operations, Tech) to align data logic, integrate multi-source data (e.g., user behavior, transaction logs, AI outputs), and build a unified data layer.
• Establish data standardization and governance policies to ensure consistency, accuracy, and compliance.
• Provide structured data inputs for AI model training and inference (e.g., LLM applications, recommendation systems), optimizing feature engineering workflows.
• Explore innovative AI-data integration use cases (e.g., embedding AI-generated insights into BI tools).
• Provide technical guidance and best practice on data architecture that meets both traditional reporting purpose and modern AI Agent requirements.

- 5+ years of data engineering experience
- Experience with data modeling, warehousing and building ETL pipelines
- Experience with SQL
- Experience in at least one modern scripting or programming language, such as Python, Java, Scala, or NodeJS
- Experience mentoring team members on best practices

- Experience with big data technologies such as: Hadoop, Hive, Spark, EMR
- Experience operating large data warehouses

In this backend role, you will be working in one of the world's largest and most complex data warehouse environments. You should be passionate about working with new AWS technology and complex datasets and proactively to drive the optimal data architecture with the fast changing business and technology. You will ensure we are effectively delivering high quality products that are scalable and meet business requirements.Key job responsibilities
Performance Optimization: Write complex and efficient SQL queries for data manipulation, transformation, and aggregation. Optimize SQL queries to improve performance and efficiency.ETL Process Management: Design, implement, and maintain ETL (Extract, Transform, Load) processes. Ensure accurate and efficient data integration from various sources into the data warehouse and the optimal model to fit downstream usage.Continuous Improvement: Stay informed of industry trends and advancements in AWS based technologies. Recommend and implement improvements to processes and technologies to enhance data warehouse functionality and efficiency.

- Bachelor's degree in BI, finance, engineering, statistics, computer science, mathematics, finance or equivalent quantitative field
- 5+ years of professional experience in data warehouse including ETL and optimization for large(multi-TB+) data sets
- Master in SQL and Experience in scripting for automation (e.g. Python)
- Proven problem solving skills, attention to detail, and exceptional organizational skills.

Scope of Work:
1. Maintain and upgrade excel model for weekly business reporting, and support report automation
2. Support visualization tool development and maintenance (e.g. Quicksight)
3. Update KPI metrics and debug the SQL query if necessary;
4. Support business performance deep dive and simple analysis;
5. Verify data pipeline accuracy and exceptional cases solving if any;
6. Assist team's online wiki page by organizing relevant design and maintenance documentationKey job responsibilities
1) Performance report (weekly & monthly)
2) Data visualization development and maintenance
3) Query optimization & consolidation5) Ad-hoc task support

Required Skills:
1. SQL query skills
2. BI Visualization Tools skill
3. Good communication skills
4. Proficiency English read/write capability
5. Detail-oriented

1. Python Programing in a moderate level
2. ML skillful is a plus
3. Familiarity with Django frame is a plus

Key job responsibilities
Solution Design - Define and deliver on-site technical engagements with partners and customers. Activities include participating in pre-sales, understanding customers’ security, risk, and compliance requirements, and providing advice and deliverables based on AWS services.This is an ASEAN customer facing role. You will be required to travel to client locations to deliver professional services when needed.A day in the life
About the team
Diverse Experiences
AWS values diverse experiences. Even if you do not meet all of the qualifications and skills listed in the job description, we encourage candidates to apply. If your career is just starting, hasn’t followed a traditional path, or includes alternative experiences, don’t let it stop you from applying.Mentorship & Career Growth
We’re continuously raising our performance bar as we strive to become Earth’s Best Employer. That’s why you’ll find endless knowledge-sharing, mentorship and other career-advancing resources here to help you develop into a better-rounded professional.Work/Life Balance

- 10 years' experience in IT security, compliance, or risk management.- BA/BS degree or equivalent experience.- Hands-on technical expertise in technology automation, implementation, integration, and/or deployment.

- Hands-on technical expertise in building and deploying security solutions, capabilities and infrastructure, with strong scripting skills, i.e., PowerShell, Python, Node.js, JavaScript, Bash, Ruby, Perl, etc.- Technical expertise (design and/or implementation) in Cloud Computing technologies and implementation experience with enterprise security solutions such as SSO, Federation, WAF, IPS, Anti-DDOS, and SIEM.- Experience with Infrastructure-as-Code Tools such as CloudFormation, Terraform, Chef, Puppet, Salt, or Ansible in production environments at scale.- Understanding architectural implications of meeting industry standards such as PCI DSS, ISO 27001, GDPR, and NIST frameworks and relevant regulatory frameworks such as Thailand's Personal Data Protection Act B.E. 2562 (2019), BOT Notifications SorNorSor 21/2562, 6/2561, 11/2561, etc.- Language proficiency: English, Thai (Thailand).