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āļāļĢāļ°āļŠāļāļāļēāļĢāļāđ:
āđāļĄāđāļāļģāđāļāđāļāļāđāļāļāļĄāļĩāļāļĢāļ°āļŠāļāļāļēāļĢāļāđāļāļģāļāļēāļ
āļāļąāļāļĐāļ°:
English
āļāļĢāļ°āđāļ āļāļāļēāļ:
āļāļēāļāļāļĢāļ°āļāļģ
āđāļāļīāļāđāļāļ·āļāļ:
āļŋ15,000 - āļŋ22,000, āļĄāļĩāļāđāļēāļāļāļĄāļĄāļīāļāļāļąāđāļ
- āđāļŦāđāļāļēāļĢāļŠāļāļąāļāļŠāļāļļāļāļāļēāļāđāļāļāļāļīāļāđāļāđāļĨāļđāļāļāđāļēāđāļĨāļ°āļāļĩāļĄāļāļēāļāļ āļēāļĒāđāļ.
- āđāļāđāđāļāļāļąāļāļŦāļēāļāļĩāđāđāļāļĩāđāļĒāļ§āļāđāļāļāļāļąāļāļĢāļ°āļāļ POS āđāļĨāļ°āļāļēāļĢāļāđāļāļĄāļāļļāļāļāļĢāļāđ.
- āļāļĢāļ°āļŠāļēāļāļāļēāļāļāļąāļāđāļāļāļāļāļ·āđāļāđ āđāļāļ·āđāļāđāļŦāđāļĨāļđāļāļāđāļēāļāļķāļāļāļāđāļ.
- āļāļąāļāļāļģāļāļąāļāļāļķāļāļāļģāļāļāļĢāļąāļāļāļĢāļīāļāļēāļĢāđāļĨāļ°āđāļāļ§āļāļēāļāđāļāđāđāļāļāļąāļāļŦāļēāļāļĒāđāļēāļāļĨāļ°āđāļāļĩāļĒāļ.
- āļ§āļļāļāļīāļāļēāļĢāļĻāļķāļāļĐāļēāļĢāļ°āļāļąāļāļāļāļļāļāļĢāļīāļāļāļēāļŦāļĢāļ·āļāļāļĢāļīāļāļāļēāļāļĢāļĩ āļŠāļēāļāļēāđāļāļāļĩ āļŦāļĢāļ·āļāļŠāļēāļāļēāļāļĩāđāđāļāļĩāđāļĒāļ§āļāđāļāļ.
- āļĄāļĩāļāļąāļāļĐāļ°āļāļēāļĢāđāļāđāļāļąāļāļŦāļē āļāļēāļĢāļāļąāļāļāļēāļĢ āđāļĨāļ°āļāļēāļĢāļāļģāļāļēāļāļŦāļĨāļēāļĒāļāļĒāđāļēāļāļāļĢāđāļāļĄāļāļąāļāđāļāđāļāļĩ.
- āļĄāļĩāļāļ§āļēāļĄāļĢāļđāđāđāļāļĩāđāļĒāļ§āļāļąāļāļĢāļ°āļāļ POS āļŦāļĢāļ·āļāđāļāļāđāļāđāļĨāļĒāļĩāđāļāļāļĩāļāļ°āļāļīāļāļēāļĢāļāļēāđāļāđāļāļāļīāđāļĻāļĐ.
- āļŠāļēāļĄāļēāļĢāļāđāļāđāđāļāļĢāđāļāļĢāļĄ Microsoft Office (Excel, Word, PowerPoint) āđāļāđāļāļĒāđāļēāļāļāļĨāđāļāļāđāļāļĨāđāļ§.
- āļĄāļĩāļāļąāļāļĐāļ°āļāļēāļĢāļŠāļ·āđāļāļŠāļēāļĢāđāļĨāļ°āļĄāļāļļāļĐāļĒāđāļŠāļąāļĄāļāļąāļāļāđāļāļĩāđāļāļĩ.
- āļĄāļĩāļĢāļāļāļąāļāļĢāļĒāļēāļāļĒāļāļāđāđāļĨāļ°āđāļāļāļąāļāļāļĩāđ.
- āļĒāļīāļāļāļĩāļĢāļąāļāļāļąāļāļĻāļķāļāļĐāļēāļāļāđāļŦāļĄāđ.
- āļāļģāđāļĄāļāđāļāļāļŠāļĄāļąāļāļĢāļāļēāļāļāļąāļāđāļĢāļē?.
- āļĢāđāļ§āļĄāļāļēāļāļāļąāļ Office Design āđāļāļ·āđāļāđāļāđāļāļŠāđāļ§āļāļŦāļāļķāđāļāļāļāļāļāļĩāļĄāļāļĩāđāļĄāļļāđāļāļĄāļąāđāļāļŠāļĢāđāļēāļāļŠāļĢāļĢāļāđāđāļāļĨāļđāļāļąāļāļāļĩāđāļāđāļ§āļĒāđāļŦāđāļāļļāļĢāļāļīāļāđāļāļīāļāđāļ āļāļĢāđāļāļĄāđāļāļāļēāļŠāđāļāļāļēāļĢāļāļąāļāļāļēāļāļąāļāļĐāļ°āđāļĨāļ°āđāļāļīāļāđāļāđāļāļŠāļēāļĒāļāļēāļāļĩāļāđāļāļŠāļ āļēāļāđāļ§āļāļĨāđāļāļĄāļāļēāļĢāļāļģāļāļēāļāļāļĩāđāļŠāļĢāđāļēāļāļŠāļĢāļĢāļāđāđāļĨāļ°āđāļāđāļāļĄāļīāļāļĢ.
āļāļąāļāļĐāļ°:
Compliance, Purchasing
āļāļĢāļ°āđāļ āļāļāļēāļ:
āļāļēāļāļāļĢāļ°āļāļģ
āđāļāļīāļāđāļāļ·āļāļ:
āļŠāļēāļĄāļēāļĢāļāļāđāļāļĢāļāļāđāļāđ
- Direct and supervise the daily activities of support personnel, managing workload, priorities, and workflow in the ticketing system.
- Maintain a high-performance, customer-focused team culture through effective leadership, motivation, and training.
- Manage shift coverage and resource planning to ensure continuous support availability.
- Serve as the final level of technical escalation for challenging and non-routine issues.
- Ensure all incidents, service requests, and problems are tracked, documented, and resolved according to company standards and within SLA targets.
- Oversee the management of IT infrastructure components as needed (e.g., patch management, user account provisioning, system backups).
- Monitor support calls, tickets, and communication to ensure professional service quality and adherence to established procedures.
- Develop and analyze performance reports, using data to justify staffing, tools, and procedural changes.
- Ensure the team follows proper security and compliance protocols when handling user data and system access.
- Coordinate with external vendors for support, maintenance, and purchasing of IT equipment and software licenses.
- Oversee the basic inventory and asset management of end-user devices..
- Minimum of 3 years of experience in a technical support role, with at least 2 years in a supervisory or team lead capacity.
- Bachelor s degree in Engineering or a related field (or equivalent professional experience/certifications).
- In-depth knowledge of diagnosing and resolving issues across Key Technologies, e.g., Windows/Mac OS environments and enterprise applications].
- Proven ability to coach, mentor, and motivate a technical team. Strong organizational, problem-solving, and decision-making skills.
- Excellent verbal and written communication skills to interact effectively with team members, technical staff, and non-technical users.
āļāļąāļāļĐāļ°:
Statistics, Python, SQL
āļāļĢāļ°āđāļ āļāļāļēāļ:
āļāļēāļāļāļĢāļ°āļāļģ
āđāļāļīāļāđāļāļ·āļāļ:
āļŠāļēāļĄāļēāļĢāļāļāđāļāļĢāļāļāđāļāđ
- Lead the end-to-end development of analytics and AI projects that strengthen business and customer intelligence across the Siam Piwat data ecosystem.
- Translate business challenges into data science solutions that deliver measurable outcomes and strategic value.
- Collaborate with MIS, Data Engineering, Data Analytics and Business teams to ensure reliable data flow, technical integration, and sustainable implementation.
- Drive analytics initiatives that inform sales strategies, tenant insights, and evolving market opportunities.
- Technical Execution & Supervision.
- Develop and deploy predictive models and analytics frameworks to understand performance patterns, identify growth drivers, and support decision-making.
- Provide technical direction and support to data scientists and analysts to maintain consistency, accuracy, and quality of analytical outputs.
- Apply best practices in data preparation, model governance, and MLOps to ensure scalability and reliability.
- Work closely with cross-functional partners internally and externally to transform analytical insights into actionable business recommendations.
- Business Impact & Innovation.
- Deliver insights that enhance understanding of customer behavior, tenant performance, and overall sales and customer trends.
- Monitor and assess emerging market and consumer trends to guide future business strategies.
- Present complex findings through clear visualizations and storytelling tailored for executive and business audiences.
- Foster a culture of innovation and continuous improvement in analytics practice.
- Education & Experience.
- Master s or Ph.D. in Data Science, Computer Science, Statistics, Mathematics, or a related quantitative discipline.
- Minimum 5-7 years of experience in data science, advanced analytics, or AI solution delivery..
- Demonstrated success in developing and implementing data-driven solutions with measurable business impact.
- Experience in retail, customer analytics, or digital transformation environments is preferred..
- Technical Skills.
- Proficiency in Python, SQL, and PySpark for data analysis and model development..
- Solid understanding of machine learning, AI, and statistical modeling frameworks..
- Familiarity with cloud data platforms (DWS, AWS, GCP, or Azure) and version control tools (Git)..
- Experience with visualization and BI tools such as Power BI, Tableau, Apache Superset, or similar..
āļāļąāļāļĐāļ°:
Research, Legal, Automation
āļāļĢāļ°āđāļ āļāļāļēāļ:
āļāļēāļāļāļĢāļ°āļāļģ
āđāļāļīāļāđāļāļ·āļāļ:
āļŠāļēāļĄāļēāļĢāļāļāđāļāļĢāļāļāđāļāđ
- Proactively research emerging cyber threats, analyze their characteristics, and assess their potential impact on the organization.
- Collect and analyze threat intelligence from various sources (commercial, government, open-source) and produce actionable reports for different groups of stakeholders ranging from senior executives to technical team.
- Provide timely and relevant threat intelligence to support incident response efforts and investigations.
- Identify vulnerabilities and provide insights to improve vulnerability management processes.
- Collaborate with security teams (SOC, incident response) and other stakeholders to share threat intelligence and improve overall security posture.
- At least 4 years of experience in Cyber Threat Intelligence Engineer or related role..
- Technical Proficiency: Strong understanding of networking, operating systems, security concepts, and tools.
- Threat Intelligence Expertise: Knowledge of the threat landscape, attack methodologies, and threat actors..
- Understanding of cybersecurity-related legal and regulatory requirements.
- Analytical and Problem-Solving Skills: Ability to analyze complex information, identify patterns, and draw meaningful conclusions..
- Communication and Collaboration Skills: Ability to effectively communicate threat intelligence findings to technical and non-technical audiences.
- Experience with Threat Intelligence Platforms: Familiarity with commercial or open-source threat intelligence platforms.
- Experience with cyber forensic procedure: analysis of digital evidence to investigate cybercrimes, reconstruct events, and identify vulnerabilities.
- Programming/Scripting Skills: May be required for custom tool development and automation.
- Apply directly here: https://accenture.wd103.myworkdayjobs.com/AccentureCareers/job/Bangkok/Cyber-Threat-Intelligence-Engineer_13566456.
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āļĒāļāļāļāļīāļĒāļĄ
āļĨāļāļāļāļģ 5 āļŠāļīāđāļāļāļĩāđāļŦāļĨāļąāļāđāļĨāļīāļāļāļēāļ āļāļĩāļ§āļīāļāļāļļāļāļāļ°āđāļāļĨāļĩāđāļĒāļāđāļāļāļĨāļāļāļāļēāļĨ
āļāļģāđāļāļ°āļāļģāļāđāļēāļāļāļēāļāļĩāļāļāļĢāļīāļĐāļąāļ 7 āđāļāļāļāļĩāđāļāļļāļāđāļĄāđāļāļ§āļĢāļāļģāļāļēāļāļāđāļ§āļĒ
āļāļģāđāļāļ°āļāļģāļāļēāļĢāļŦāļēāļāļēāļāđāļāļīāļāđāļāļĨāļŠāļļāļāļĒāļāļ 50 āļāļĢāļīāļĐāļąāļāļāļĩāđāļāļāļĢāļļāđāļāđāļŦāļĄāđāļāļĒāļēāļāļĢāđāļ§āļĄāļāļēāļāļāđāļ§āļĒāļĄāļēāļāļāļĩāđāļŠāļļāļ 2025
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