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āļāļĢāļ°āļŠāļāļāļēāļĢāļāđ:
3 āļāļĩāļāļķāđāļāđāļ
āļāļąāļāļĐāļ°:
SQL, Excel, Tableau
āļāļĢāļ°āđāļ āļāļāļēāļ:
āļāļēāļāļāļĢāļ°āļāļģ
āđāļāļīāļāđāļāļ·āļāļ:
āļŠāļēāļĄāļēāļĢāļāļāđāļāļĢāļāļāđāļāđ
- Proficiently analyze intricate datasets to identify trends, patterns, and outliers.
- Unearth insightful correlations and present findings in a clear, understandable manner.
- Translate raw data into actionable insights that drive client business objectives.
- Engage with clients to understand their unique business needs and challenges.
- Translate client requirements into comprehensive project scopes and deliverables.
- Foster strong client relationships through effective communication and partnership.
- Leverage your analytical prowess to provide informed recommendations to clients.
- Collaborate with cross-functional teams to implement data-driven strategies.
- Contribute to client success by helping them make informed, growth-oriented decisions.
- Create visually compelling dashboards, reports, and presentations.
- Tailor data visualizations to resonate with both technical and non-technical audiences.
- Communicate complex insights using accessible and engaging visual aids.
- Identify operational inefficiencies within client workflows using data-driven insights.
- Propose process improvements and streamlined solutions to optimize client operations.
- Assist clients in adopting best practices for leveraging data effectively.
- Conduct thorough requirement elicitation sessions with clients.
- Document precise business and technical requirements for successful project execution.
- Ensure clear communication and alignment between stakeholders and technical teams.
- Bachelor s degree in a relevant field (Business, Data Science, etc.).
- Proven 3-5 years of experience as a Business Analyst, Data Analyst, or similar role.
- Proficiency in data analysis tools (SQL, Excel) and data visualization platforms (Tableau, Power BI).
- Strong problem-solving skills and the ability to think critically.
- Excellent communication skills for effective client interaction and team collaboration.
- Detail-oriented approach to ensure accurate and reliable insights.
- Ability to adapt to a fast-paced, dynamic work environment.
- Location: True Digital Park, Bangkok.
āļāļĢāļ°āļŠāļāļāļēāļĢāļāđ:
3 āļāļĩāļāļķāđāļāđāļ
āļāļąāļāļĐāļ°:
Budgeting, English
āļāļĢāļ°āđāļ āļāļāļēāļ:
āļāļēāļāļāļĢāļ°āļāļģ
āđāļāļīāļāđāļāļ·āļāļ:
āļŋ32,000 - āļŋ42,000, āļŠāļēāļĄāļēāļĢāļāļāđāļāļĢāļāļāđāļāđ
- Lead the preparation of annual budgets and rolling monthly forecasts in coordination with relevant departments..
- Analyze monthly financial performance, identify variances, and provide actionable insights..
- Drive continuous improvement in budgeting, forcasting, and dashboard reporting processes..
- Conduct strategic and business analyses, including PESTEL assessments and digital transformation initiatives..
- Support the formulation and execution of the company's strategic plan to align with Vision, Mission, and long-term targets..
- Collaborate across departments to ensure alignment and effective execution of strategic projetcs..
- Develop and monitor performance metrics, KPIs, and financial dashboards to track progress and enhance decision-making..
- Provide strategic recommendations to senior management based on through data analysis..
- Support other assignments under the Corporate Strategy and Planning function, such as operational excellence and project monitoring..
āļāļĢāļ°āļŠāļāļāļēāļĢāļāđ:
5 āļāļĩāļāļķāđāļāđāļ
āļāļąāļāļĐāļ°:
Business Statistics / Analysis, English
āļāļĢāļ°āđāļ āļāļāļēāļ:
āļāļēāļāļāļĢāļ°āļāļģ
āđāļāļīāļāđāļāļ·āļāļ:
āļŠāļēāļĄāļēāļĢāļāļāđāļāļĢāļāļāđāļāđ
- Analyze business requirements and translate them into actionable insights.
- Collaborate with stakeholders to identify and document project objectives.
- Develop detailed business and functional specifications.
- Work closely with development teams to ensure solutions align with business goals.
- Monitor project progress and provide regular updates to stakeholders.
- Identify areas for process improvement and recommend solutions.
- Conduct data analysis to support decision-making processes.
- Bachelor s degree in Business Administration, Information Technology, or a related field.
- At least 5 experience as a Business Analyst.
- Experience in OTA is a plus.
- Strong analytical and problem-solving skills.
- Excellent communication both thai & English and interpersonal abilities.
- Proficiency in business analysis tools and methodologies.
- Ability to work collaboratively in a team-oriented environment.
- Attention to detail and strong organizational skills.
- Able to work onsite at FYI Building (near MRT sirikit convention center).
- Let's build somthing amazing together at Gother.com by sending your resume to us at E-mail: [email protected].
āļāļĢāļ°āļŠāļāļāļēāļĢāļāđ:
7 āļāļĩāļāļķāđāļāđāļ
āļāļąāļāļĐāļ°:
Financial Modeling, Cash Flow Management, English
āļāļĢāļ°āđāļ āļāļāļēāļ:
āļāļēāļāļāļĢāļ°āļāļģ
āđāļāļīāļāđāļāļ·āļāļ:
āļŋ45,000 - āļŋ85,000, āļŠāļēāļĄāļēāļĢāļāļāđāļāļĢāļāļāđāļāđ
- āļāļĢāļīāļŦāļēāļĢāđāļĨāļ°āļāļģāļāļąāļāļāļđāđāļĨāļāļēāļĢāļ§āļīāđāļāļĢāļēāļ°āļŦāđāļāđāļāļĄāļđāļĨāļāļēāļāļāļēāļĢāđāļāļīāļāđāļĨāļ°āļāļēāļĢāļĨāļāļāļļāļ āđāļāļ·āđāļāļŠāļāļąāļāļŠāļāļļāļāļāļēāļĢāļāļąāļāļŠāļīāļāđāļāđāļāļīāļāļāļĨāļĒāļļāļāļāđ.
- āļāļąāļāļāļģ āļ§āļīāđāļāļĢāļēāļ°āļŦāđ āđāļĨāļ°āļāļģāđāļŠāļāļāļĢāļēāļĒāļāļēāļāļāļēāļāļāļēāļĢāđāļāļīāļ āļāļĨāļāļāļāđāļāļ āđāļĨāļ°āļāļĢāļ°āļĄāļēāļāļāļēāļĢāđāļāļĄāļīāļāļīāļāđāļēāļ āđ āđāļŦāđāļŠāļāļāļāļĨāđāļāļāļāļąāļāđāļāļāļāļēāļāđāļĨāļ°āļāđāļĒāļāļēāļĒāļāļāļāļāļĢāļīāļĐāļąāļ.
- āļĻāļķāļāļĐāļēāđāļĨāļ°āļāļīāļāļāļēāļĄāđāļāļ§āđāļāđāļĄāļāļēāļāđāļĻāļĢāļĐāļāļāļīāļ āļāļēāļĢāđāļāļīāļ āđāļĨāļ°āļāļĨāļēāļāļāļēāļĢāļĨāļāļāļļāļ āļāļąāđāļāđāļāđāļĨāļ°āļāđāļēāļāļāļĢāļ°āđāļāļĻ āđāļāļ·āđāļ āļāļģāļĄāļē āļāļĢāļ°āđāļĄāļīāļāđāļāļāļēāļŠāđāļĨāļ°āļāļ§āļēāļĄāđāļŠāļĩāđāļĒāļāļāļĩāđāļāļēāļāļ°āđāļāļīāļāļāļķāđāļ.
- āļ§āļēāļāđāļāļ āļāļģāļŦāļāļ āđāļĨāļ°āļāļĢāļąāļāļāļĨāļĒāļļāļāļāđāļāđāļēāļāļāļēāļĢāđāļāļīāļāđāļĨāļ°āļāļēāļĢāļĨāļāļāļļāļāđāļŦāđāđāļŦāļĄāļēāļ°āļŠāļĄāļāļąāļāđāļāđāļēāļŦāļĄāļēāļĒāļāļāļāļāļĢāļīāļĐāļąāļāļ āļēāļĒāđāļāđāļāļĢāļāļāļāļēāļĢāļāļĢāļīāļŦāļēāļĢāļāļ§āļēāļĄāđāļŠāļĩāđāļĒāļāļāļĩāđāļāļģāļŦāļāļ.
- āļāļĢāļīāļŦāļēāļĢāļāļĩāļĄāļāļēāļāļāđāļēāļāļāļēāļĢāļ§āļīāđāļāļĢāļēāļ°āļŦāđāđāļĨāļ°āļāļēāļĢāļĨāļāļāļļāļ āđāļŦāđāļŠāļēāļĄāļēāļĢāļāļāļāļīāļāļąāļāļīāđāļāđāļāļĒāđāļēāļāļĄāļĩāļāļĢāļ°āļŠāļīāļāļāļīāļ āļēāļ āđāļĨāļ°āļāļąāļāļāļēāļĻāļąāļāļĒāļ āļēāļāļāļĩāļĄāļāļēāļāđāļŦāđāļŠāļāļāļāļĨāđāļāļāļāļąāļāļāļīāļĻāļāļēāļāļāļāļāļāļāļāđāļāļĢ.
- āļāļĢāļ°āļŠāļēāļāļāļēāļāđāļĨāļ°āđāļŦāđāļāļģāļāļĢāļķāļāļĐāļēāđāļāđāļŦāļāđāļ§āļĒāļāļēāļāļāļĩāđāđāļāļĩāđāļĒāļ§āļāđāļāļ āđāļāļ·āđāļāļŠāļāļąāļāļŠāļāļļāļāļāļēāļĢāļāļģāđāļāļīāļāļāļēāļāļāđāļēāļāļāļēāļĢāđāļāļīāļāđāļĨāļ°āļāļēāļĢāļĨāļāļāļļāļāļāļāļāļāļĢāļīāļĐāļąāļ.
- āļāļāļīāļāļąāļāļīāļāļēāļāļāļ·āđāļ āđ āļāļĩāđāđāļāđāļĢāļąāļāļĄāļāļāļŦāļĄāļēāļĒāļāļēāļāļāļđāđāļāļąāļāļāļąāļāļāļąāļāļāļē.
- āļāļāļīāļāļąāļāļīāļāļēāļāļāļĒāđāļēāļāđāļāļāļĒāđāļēāļāļŦāļāļķāđāļāļŦāļĢāļ·āļāļāļąāđāļāļŦāļĄāļāļāļāļāļāļāļāļēāļāļāļēāļ āļāļąāļāļāļĩāđ.
- āļāļēāļĢāļ§āļīāđāļāļĢāļēāļ°āļŦāđāđāļĨāļ°āļāļąāļāļāļģāļĢāļēāļĒāļāļēāļāļāđāļēāļāļāļēāļĢāđāļāļīāļāđāļĨāļ°āļāļēāļĢāļĨāļāļāļļāļ.
- āļāļąāļāļāļģāđāļĨāļ°āļāļģāđāļŠāļāļ āļĢāļēāļĒāļāļēāļāļāļēāļĢāļĨāļāļāļļāļāļĢāļēāļĒāđāļāļ·āļāļ āļĢāļēāļĒāđāļāļĢāļĄāļēāļŠ āđāļĨāļ°āļĢāļēāļĒāļāļĩ āļāđāļāļāļđāđāļāļĢāļīāļŦāļēāļĢ.
- āļ§āļīāđāļāļĢāļēāļ°āļŦāđ āļāļĨāļāļāļāđāļāļāļāļēāļāļāļēāļĢāļĨāļāļāļļāļ āđāļĨāļ°āļāļāļāđāļāļĩāđāļĒāļĢāļąāļ āļĢāļ§āļĄāļāļķāļāļāļĢāļ°āļĄāļēāļāļāļēāļĢāļĨāđāļ§āļāļŦāļāđāļē 3-5 āļāļĩ.
- āļĻāļķāļāļĐāļēāđāļĨāļ°āļ§āļīāđāļāļĢāļēāļ°āļŦāđāđāļāļ§āđāļāđāļĄāļāļēāļāđāļĻāļĢāļĐāļāļāļīāļ āđāļāļ·āđāļāļāļēāļāļāļēāļĢāļāđāđāļāļ§āđāļāđāļĄāļāļāļāļāļĨāļēāļāđāļĨāļ°āļāļ§āļēāļĄāđāļāđāļāđāļāđāļāđāđāļāļāļēāļĢāļĨāļāļāļļāļ.
- āļ§āļīāđāļāļĢāļēāļ°āļŦāđāđāļĨāļ°āļŠāļĢāļļāļāļāđāļāļĄāļđāļĨāļāļēāļāļāļēāļĢāđāļāļīāļ āđāļāđāļ āļāļāļāļļāļĨ āļāļāļāļģāđāļĢāļāļēāļāļāļļāļ āđāļĨāļ°āļāļāļāļĢāļ°āđāļŠāđāļāļīāļāļŠāļ āđāļāļ·āđāļāļāļĢāļ°āđāļĄāļīāļāļŠāļāļēāļāļ°āļāļēāļāļāļēāļĢāđāļāļīāļāļāļāļāļāļĢāļīāļĐāļąāļ.
- āļāļģāļāļąāļāļāļđāđāļĨāļāļēāļĢāļāļąāļāļāļģāļĢāļēāļĒāļāļēāļāļāļēāļāļāļēāļĢāđāļāļīāļāđāļĨāļ°āļāļēāļĢāļĨāļāļāļļāļ āļĢāļ§āļĄāļāļķāļāļāļēāļĢāļ§āļīāđāļāļĢāļēāļ°āļŦāđāļāļĨāļāļāļāđāļāļāļāļēāļāļāļēāļĢāđāļāļīāļ.
- āļ§āļēāļāļāļĨāļĒāļļāļāļāđāļāđāļēāļāļāļēāļĢāļ§āļīāđāļāļĢāļēāļ°āļŦāđāļāđāļāļĄāļđāļĨāđāļĨāļ°āļāļēāļĢāļĨāļāļāļļāļ āđāļāļ·āđāļāđāļāļīāđāļĄāļāļĢāļ°āļŠāļīāļāļāļīāļ āļēāļāđāļĨāļ°āļāļĨāļāļāļāđāļāļāļāļāļāļāļĢāļīāļĐāļąāļ.
- āļ§āļīāđāļāļĢāļēāļ°āļŦāđāļāđāļāļĄāļđāļĨāđāļāļīāļāļĨāļķāļāđāļāļĩāđāļĒāļ§āļāļąāļāļāļāļāļēāļĢāđāļāļīāļ āđāļĨāļ°āļāļąāļāļāļģāļāļĢāļ°āļĄāļēāļāļāļēāļĢāļāļēāļāļāļēāļĢāđāļāļīāļāđāļĨāļ°āļāļēāļĢāļĨāļāļāļļāļ.
- āļĻāļķāļāļĐāļēāđāļāļ§āđāļāđāļĄāđāļĻāļĢāļĐāļāļāļīāļ āļāļēāļĢāđāļāļīāļ āđāļĨāļ°āļāļēāļĢāļĨāļāļāļļāļ āđāļāļ·āđāļāļāļģāļĄāļēāļāļĢāļ°āđāļĄāļīāļāļāļĨāļāļĢāļ°āļāļāđāļĨāļ°āđāļāļāļēāļŠāđāļāļāļēāļĢāļĨāļāļāļļāļāļāļāļāļāļĢāļīāļĐāļąāļ.
- āļāļīāļāļāļēāļĄāđāļĨāļ°āļāļĢāļąāļāļāļĨāļĒāļļāļāļāđāļāļēāļāļāļēāļĢāđāļāļīāļāđāļĨāļ°āļāļēāļĢāļĨāļāļāļļāļāđāļŦāđāļŠāļāļāļāļĨāđāļāļāļāļąāļāđāļāđāļēāļŦāļĄāļēāļĒāļāļāļāļāļĢāļīāļĐāļąāļ.
- āļāļēāļĢāļāļąāļāļāļĢāļ°āļāļļāļĄāļāļāļ°āļāļāļļāļāļĢāļĢāļĄāļāļēāļĢāļāļĢāļīāļŦāļēāļĢāļāļēāļĢāļĨāļāļāļļāļāđāļĨāļ°āļāļĢāļīāļŦāļēāļĢāļāļ§āļēāļĄāđāļŠāļĩāđāļĒāļāļāđāļēāļāļāļēāļĢāļĨāļāļāļļāļāļāļĒāđāļēāļāļāđāļāļĒāđāļāļĢāļĄāļēāļŠāļĨāļ°āļŦāļāļķāđāļāļāļĢāļąāđāļ āļŦāļĢāļ·āļāđāļĄāđāļāđāļāļĒāļāļ§āđāļēāļāļĩāļĨāļ°āļŠāļĩāđāļāļĢāļąāđāļ.
- āļāļĢāļīāļŦāļēāļĢāļāļĩāļĄāļāļēāļāļāļąāļāļ§āļīāđāļāļĢāļēāļ°āļŦāđāļāđāļāļĄāļđāļĨāđāļĨāļ°āļāļēāļĢāļĨāļāļāļļāļ āļĢāļ§āļĄāļāļķāļāļāļēāļĢāļāļąāļāļāļēāđāļĨāļ°āđāļŠāļĢāļīāļĄāļŠāļĢāđāļēāļāļĻāļąāļāļĒāļ āļēāļāļāļāļāļāļĩāļĄ.
- āļāļģāđāļŠāļāļāļĢāļēāļĒāļāļēāļāđāļĨāļ°āļāđāļāđāļŠāļāļāđāļāļ°āļāđāļēāļāļāļĨāļĒāļļāļāļāđāļāļēāļāļāļēāļĢāđāļāļīāļāđāļĨāļ°āļāļēāļĢāļĨāļāļāļļāļ āđāļāđāļāļđāđāļāļĢāļīāļŦāļēāļĢāļĢāļ°āļāļąāļāļŠāļđāļ.
- āļāļĢāļ°āļŠāļēāļāļāļēāļāļāļąāļāļŦāļāđāļ§āļĒāļāļēāļāļ āļēāļĒāđāļāđāļĨāļ°āļ āļēāļĒāļāļāļāļāļĩāđāđāļāļĩāđāļĒāļ§āļāđāļāļ āļĢāļ§āļĄāļāļķāļāļāļāļēāļāļēāļĢ āļŠāļāļēāļāļąāļāļāļēāļĢāđāļāļīāļ āļāļĢāļīāļĐāļąāļāļŦāļĨāļąāļāļāļĢāļąāļāļĒāđāļāļąāļāļāļēāļĢāļāļāļāļāļļāļ āļāļēāļĢāļ§āļīāđāļāļĢāļēāļ°āļŦāđāđāļĨāļ°āļāļąāļāļāļģāļĢāļēāļĒāļāļēāļāļāđāļēāļāļāļēāļĢāđāļāļīāļāđāļĨāļ°āļāļēāļĢāļĨāļāļāļļāļ.
- āļāļēāļĢāļ§āļīāđāļāļĢāļēāļ°āļŦāđāđāļĨāļ°āļāļąāļāļāļģāļĢāļēāļĒāļāļēāļ āļāļĢāļīāļĐāļąāļāļāļĩāđāļāļĢāļķāļāļĐāļēāļāļēāļĢāļĨāļāļāļļāļ āđāļĨāļ°āļŦāļāđāļ§āļĒāļāļēāļāļ āļēāļāļĢāļąāļāļ§āļīāđāļāļĢāļēāļ°āļŦāđāđāļĨāļ°āļāļąāļāļāļģāļĢāļēāļĒāļāļēāļāļāđāļēāļāļāļēāļĢāđāļāļīāļāđāļĨāļ°āļāļēāļĢāļĨāļāļāļļāļ.
- āļāļąāļāļāļģāđāļĨāļ°āļāļģāđāļŠāļāļ āļĢāļēāļĒāļāļēāļāļĨāļāļāļļāļāļĢāļēāļĒāđāļāļ·āļāļ āļĢāļēāļĒāđāļāļĢāļĄāļēāļŠ āđāļĨāļ°āļĢāļēāļĒāļāļĩ āļāđāļāļāļđāđāļāļĢāļīāļŦāļēāļĢ.
- āļ§āļīāđāļāļĢāļēāļ°āļŦāđ āļāļĨāļāļāļāđāļāļāļāļēāļāļāļēāļĢāļĨāļāļāļļāļ āđāļĨāļ°āļāļāļāđāļāļĩāđāļĒāļĢāļąāļ āļĢāļ§āļĄāļāļķāļāļāļĢāļ°āļĄāļēāļāļāļēāļĢāļĨāđāļ§āļāļŦāļāđāļē 3-5 āļāļĩ.
- āļĻāļķāļāļĐāļēāđāļĨāļ°āļ§āļīāđāļāļĢāļēāļ°āļŦāđāđāļāļ§āđāļāđāļĄāļāļēāļāđāļĻāļĢāļĐāļāļāļīāļ āđāļāļ·āđāļāļāļēāļāļāļēāļĢāļāđāđāļāļ§āđāļāđāļĄāļāļāļāļāļĨāļēāļāđāļĨāļ°āļāļ§āļēāļĄāđāļāđāļāđāļāđāļāđāđāļāļāļēāļĢāļĨāļāļāļļāļ.
- āļ§āļīāđāļāļĢāļēāļ°āļŦāđāđāļĨāļ°āļŠāļĢāļļāļāļāđāļāļĄāļđāļĨāļāļēāļāļāļēāļĢāđāļāļīāļ āđāļāđāļ āļāļāļāļļāļĨ āļāļāļāļģāđāļĢāļāļēāļāļāļļāļ āđāļĨāļ°āļāļāļāļĢāļ°āđāļŠāđāļāļīāļāļŠāļāđāļāļ·āđāļāļāļĢāļ°āđāļĄāļīāļāļŠāļāļēāļāļ°āļāļēāļāļāļēāļĢāđāļāļīāļāļāļāļāļāļĢāļīāļĐāļąāļ.
- āļāļēāļĢāļ§āļēāļāđāļāļāđāļĨāļāļāļģāļŦāļāļāļāļĨāļĒāļļāļāļāđāļāļēāļāļāļēāļĢāđāļāļīāļāđāļĨāļ°āļāļēāļĢāļĨāļāļāļļāļ.
- āļāļąāļāļāļģ Financial Forecast, Cashflow Projection āđāļĨāļ° Feasibility Study.
- āļ§āļēāļāđāļāļāđāļĨāļ°āļāļģāļŦāļāļ āļāļĨāļĒāļļāļāļāđāļāļēāļĢāļĨāļāļāļļāļ āđāļāļĒāļāđāļēāļāļāļīāļāļāļēāļāļāđāļāļĄāļđāļĨāđāļāļīāļāļĨāļķāļāđāļĨāļ°āđāļāļ§āđāļāđāļĄāļāļĨāļēāļ.
- āļāļīāļāļāļēāļĄāđāļĨāļ°āļāļĢāļąāļāļāļĢāļļāļāļāļĨāļĒāļļāļāļāđāļāļēāļāļāļēāļĢāđāļāļīāļāđāļĨāļ°āļāļēāļĢāļĨāļāļāļļāļ āđāļāļ·āđāļāđāļāļīāđāļĄāļĄāļđāļĨāļāđāļēāđāļĨāļ°āļĨāļāļāļ§āļēāļĄāđāļŠāļĩāđāļĒāļāļāļāļāļāļĢāļīāļĐāļąāļ.
- āļ§āļīāđāļāļĢāļēāļ°āļŦāđ S.W.O.T. (Strengths, Weakness, Opportunities, Threats) āđāļāļ·āđāļāļĢāļ°āļāļļāļāļļāļāđāļāđāļ āļāļļāļāļāđāļāļ āđāļāļāļēāļŠ āđāļĨāļ°āļāļ§āļēāļĄāđāļŠāļĩāđāļĒāļāļāļĩāđāļāļēāļāđāļāļīāļāļāļķāđāļ.
- āļāļēāļĢāļāļĢāļīāļŦāļēāļĢāļāļĩāļĄāđāļĨāļ°āļāļēāļĢāļāļģāļāļēāļāļĢāđāļ§āļĄāļāļąāļāļŦāļāđāļ§āļĒāļāļēāļāļāļĩāđāđāļāļĩāđāļĒāļ§āļāđāļāļ.
- āļāļĢāļīāļŦāļēāļĢāđāļĨāļ°āļāļąāļāļāļēāļāļĩāļĄāļ§āļīāđāļāļĢāļēāļ°āļŦāđāļāđāļāļĄāļđāļĨāđāļĨāļ°āļāļēāļĢāļĨāļāļāļļāļāđāļŦāđāļĄāļĩāļĻāļąāļāļĒāļ āļēāļāļŠāļđāļāļŠāļļāļ.
- āļāļĢāļ°āļŠāļēāļāļāļēāļāļāļąāļ āļŦāļāđāļ§āļĒāļāļēāļāļ āļēāļĒāđāļ āđāļāđāļ āļāđāļēāļĒāļāļąāļāļāļĩ āļāđāļēāļĒāļāļĢāļīāļŦāļēāļĢāļāļ§āļēāļĄāđāļŠāļĩāđāļĒāļ āđāļĨāļ°āļŦāļāđāļ§āļĒāļāļēāļāļāļĩāđāđāļāļĩāđāļĒāļ§āļāđāļāļ āđāļāļ·āđāļāđāļŦāđāļĄāļąāđāļāđāļāļ§āđāļēāļāļēāļĢāļ§āļīāđāļāļĢāļēāļ°āļŦāđāļāđāļāļĄāļđāļĨāđāļĨāļ°āļāļēāļĢāļĨāļāļāļļāļāđāļāđāļāđāļāļāļēāļĄāđāļāļāļāļĩāđāļāļģāļŦāļāļ.
- āļāļīāļāļāđāļāđāļĨāļ°āļāļģāļāļēāļāļĢāđāļ§āļĄāļāļąāļ āļŦāļāđāļ§āļĒāļāļēāļāļ āļēāļĒāļāļāļ āđāļāđāļ āļŠāļāļēāļāļąāļāļāļēāļĢāđāļāļīāļ āļāļĢāļ·āļĐāļąāļāļāļĩāđāļāļĢāļķāļāļĐāļēāļāļēāļĢāļĨāļāļāļļāļ āđāļĨāļ°āļŦāļāđāļ§āļĒāļāļēāļāļāļģāļāļąāļāļāļđāđāļĨ.
- āļāļēāļĢāļāļīāļāļāđāļāļāđāļēāļ§āļŠāļēāļĢāđāļĨāļ°āļāļąāļāļāļąāļĒāļ āļēāļĒāļāļāļāļāļĩāđāļŠāđāļāļāļĨāļāđāļāļāļĢāļīāļĐāļąāļ.
- āļāļīāļāļāļēāļĄ āđāļāļ§āđāļāđāļĄāđāļĻāļĢāļĐāļāļāļīāļ āļāļĨāļēāļāļāļēāļĢāđāļāļīāļ āđāļĨāļ°āļāđāļĒāļāļēāļĒāļ āļēāļāļĢāļąāļ āļāļĩāđāļāļēāļāļŠāđāļāļāļĨāļāđāļāļāļĨāļĒāļļāļāļāđāļāļēāļĢāļĨāļāļāļļāļāļāļāļāļāļĢāļīāļĐāļąāļ.
- āļ§āļīāđāļāļĢāļēāļ°āļŦāđ āļāļąāļāļāļąāļĒāļ āļēāļĒāđāļāđāļĨāļ°āļ āļēāļĒāļāļāļ āļāļĩāđāļāļēāļāļāļĢāļ°āļāļāļāđāļāļāļĢāļīāļĐāļąāļ āļāļąāđāļāđāļāđāļāļīāļāļāļ§āļāđāļāļīāļāļĨāļ āļāļĢāđāļāļĄāļāļģāđāļŠāļāļāđāļāļ§āļāļēāļāļĢāļąāļāļĄāļ·āļ.
- āļŠāļāļąāļāļŠāļāļļāļāļāļēāļāļāļ·āđāļ āđ āļāļēāļĄāļāļĩāđāđāļāđāļĢāļąāļāļĄāļāļāļŦāļĄāļēāļĒ āđāļāļ·āđāļāđāļŦāđāļŦāļāđāļ§āļĒāļāļēāļāđāļĨāļ°āļāļĢāļīāļĐāļąāļ āđāļāļĒāđāļĨāļāļāđ āļāļĢāļīāļ§āļīāđāļĨāļ āļāļēāļĢāđāļ āļāļģāļāļąāļāļ āļēāļĢāļāļīāļāļāļĩāđāļāļģāļŦāļāļ.
- āđāļāđāļĢāļąāļāļāļĢāļīāļāļāļēāļāļĢāļĩāļŦāļĢāļ·āļāļāļļāļāļ§āļļāļāļīāļāļĒāđāļēāļāļāļ·āđāļāļāļĩāđāđāļāļĩāļĒāļāđāļāđāļĢāļ°āļāļąāļāđāļāļĩāļĒāļ§āļāļąāļāđāļāļŠāļēāļāļēāļ§āļīāļāļēāđāļ āļŠāļēāļāļēāļ§āļīāļāļēāļŦāļāļķāđāļ āļāļēāļāļāļēāļĢāđāļāļīāļ āļāļąāļāļāļĩ āļāļĢāļīāļŦāļēāļĢāļāļļāļĢāļāļīāļ āđāļĻāļĢāļĐāļāļŠāļēāļŠāļāļĢāđ.
- āļĄāļĩāļāļĢāļ°āļŠāļāļāļēāļĢāļāđāļāđāļēāļāļāļēāļĢāļ§āļīāđāļāļĢāļēāļ°āļŦāđāļāļēāļĢāđāļāļīāļ āļāļēāļĢāļĨāļāļāļļāļ āļāļēāļĢāļāļĢāļīāļŦāļēāļĢāļŠāļīāļāļāļĢāļąāļāļĒāđāļŦāļĢāļ·āļāļāļēāļāļāļĩāđāđāļāļĩāđāļĒāļ§āļāđāļāļāļāļĒāđāļēāļāļāđāļāļĒ 7-10 āļāļĩ āđāļĨāļ°āļāļĢāļ°āļŠāļāļāļēāļĢāļāđāļĢāļ°āļāļąāļāļāļĢāļīāļŦāļēāļĢ 3-5 āļāļĩ.
- āļĄāļĩāļāļ§āļēāļĄāļĢāļđāđāļāđāļēāļāļāļēāļĢāļ§āļīāđāļāļĢāļēāļ°āļŦāđāļāļāļāļēāļĢāđāļāļīāļ āļāļēāļĢāļāļĢāļīāļŦāļēāļĢāļāļāļĢāđāļāļāļēāļĢāļĨāļāļāļļāļ āļāļēāļĢāļāļąāļāļāļģāļāļĢāļ°āļĄāļēāļāļāļēāļĢāļāļēāļāļāļēāļĢāđāļāļīāļāđāļĨāļ°āļāļēāļĢāļāļĢāļ°āđāļĄāļīāļāļĄāļđāļĨāļāđāļēāđāļāļĢāļāļāļēāļĢ.
- āļĄāļĩāļāļ§āļēāļĄāđāļāđāļēāđāļāđāļāļāļēāļĢāļāļĨāļēāļāļāļļāļ āļāļĨāļēāļāđāļāļīāļ āđāļāļĢāļ·āđāļāļāļĄāļ·āļāļāļēāļĢāļĨāļāļāļļāļāļāļąāđāļāđāļāļāļĢāļ°āđāļāļĻāđāļĨāļ°āļāđāļēāļāļāļĢāļ°āđāļāļĻ.
- āļĄāļĩāļāļąāļāļĐāļ°āļāļēāļĢāļāļĢāļīāļŦāļēāļĢāļāļąāļāļāļēāļĢāļāļĩāļĄ āļāļēāļĢāļŠāļ·āđāļāļŠāļēāļĢ āđāļĨāļ°āļāļēāļĢāļāļĢāļ°āļŠāļēāļāļāļēāļāļāļĩāđāļāļĩ.
- āļĄāļĩāļāļąāļāļĐāļ°āļāļēāļĢāļāļĢāļīāļŦāļēāļĢāļāļąāļāļāļēāļĢāļāļĩāļĄ āļāļēāļĢāļŠāļ·āđāļāļŠāļēāļĢ āđāļĨāļ°āļāļēāļĢāļāļĢāļ°āļŠāļēāļāļāļēāļāļāļĩāđāļāļĩ.
- āļŠāļēāļĄāļēāļĢāļāđāļāđāđāļāđāļāļĢāđāļāļĢāļĄāļ§āļīāđāļāļĢāļēāļ°āļŦāđāļāđāļāļĄāļđāļĨāđāļĨāļ°āļāļīāļāļāđāđāļ§āļĢāđāļāļēāļāļāļēāļĢāđāļāļīāļāđāļāđ (āđāļāđāļ SETSMART, SETTRADE Streaming, Bisnews, ThaiBMA Bloomberg, Reuters āļāļ°āļāļīāļāļēāļĢāļāļēāđāļāđāļāļāļīāđāļĻāļĐ).
- āļĄāļĩāļāļąāļāļĐāļ°āļāļēāļĢāļāļīāļāđāļāļīāļāļāļĨāļĒāļļāļāļāđ āļāļēāļĢāļ§āļīāđāļāļĢāļēāļ°āļŦāđāđāļāļīāļāļāļĢāļīāļĄāļēāļ āđāļĨāļ°āļāļēāļĢāđāļāđāđāļāļāļąāļāļŦāļē.
- āļāļ§āļēāļĄāļĢāļđāđ āļāļąāļāļĐāļ° āđāļĨāļ°āļŠāļĄāļĢāļĢāļāļ°āļāļĩāđāļāļģāđāļāđāļāđāļāļāļēāļ.
- āļĄāļĩāļāļĢāļ°āļŠāļāļāļēāļĢāļāđāļāđāļēāļāļāļēāļĢāļ§āļīāđāļāļĢāļēāļ°āļŦāđāļāđāļāļĄāļđāļĨāļāļēāļāļāļēāļĢāđāļāļīāļāđāļĨāļ°āļāļēāļĢāļĨāļāļāļļāļ āđāļĄāđāļāđāļāļĒāļāļ§āđāļē 7-10 āļāļĩ.
- āļĄāļĩāļāļĢāļ°āļŠāļāļāļēāļĢāļāđāđāļāļāļģāđāļŦāļāđāļ āļāļđāđāļāļąāļāļāļēāļĢ āļŦāļĢāļ·āļ āļāļđāđāļāļĢāļīāļŦāļēāļĢāļĢāļ°āļāļąāļāļŠāļđāļ āļāļĒāđāļēāļāļāđāļāļĒ 3 āļāļĩ.
- āļĄāļĩāļāļąāļāļĐāļ° āļāļēāļĢāļ§āļīāđāļāļĢāļēāļ°āļŦāđāļāđāļāļĄāļđāļĨāļāļąāđāļāļŠāļđāļ āđāļĨāļ°āļŠāļēāļĄāļēāļĢāļāđāļāđāđāļāļĢāđāļāļĢāļĄ Excel, Power BI āļŦāļĢāļ·āļāļāļāļāļāđāđāļ§āļĢāđāļāļĩāđāđāļāļĩāđāļĒāļ§āļāđāļāļāđāļāđāļāļĩ.
- āļĄāļĩāļāļ§āļēāļĄāđāļāđāļēāđāļāđāļāļĩāđāļĒāļ§āļāļąāļ Financial Modeling, Cashflow Management, āđāļĨāļ° Risk Management.
- āļĄāļĩāļāļ§āļēāļĄāļŠāļēāļĄāļēāļĢāļāđāļāļāļēāļĢāļāļģāđāļŠāļāļāļāđāļāļĄāļđāļĨāđāļāļīāļāļāļĨāļĒāļļāļāļāđāļāļĢāļīāļŦāļēāļĢāļĢāļ°āļāļąāļāļŠāļđāļ.
- āļĄāļĩāļāļąāļāļĐāļ°āļāļēāļĢāļāļĢāļīāļŦāļēāļĢāļāļĩāļĄ āđāļĨāļ°āļŠāļēāļĄāļēāļĢāļāļāļģāļāļēāļāļĢāđāļ§āļĄāļāļąāļāļŦāļāđāļ§āļĒāļāļēāļāļāļĩāđāđāļāļĩāđāļĒāļ§āļāđāļāļāđāļāđāļāļĒāđāļēāļāļĄāļĩāļāļĢāļ°āļŠāļīāļāļāļīāļ āļēāļ.
- āļĄāļĩāļāļąāļāļĐāļ°āļ āļēāļĐāļēāļāļąāļāļāļĪāļĐāđāļāļāļēāļĢāļāļīāļāļāđāļāļŠāļ·āđāļāļŠāļēāļĢāđāļāđāļĢāļ°āļāļąāļāļāļĩ.
- āļāļēāļĄāļāļĢāļīāļĐāļąāļ āđāļāļĒāđāļĨāļāļāđ āļāļĢāļīāļ§āļīāđāļĨāļ āļāļēāļĢāđāļ āļāļģāļāļąāļ āļāļĢāļ°āļāļēāļĻāļāļēāļĄāļāļģāđāļŦāļāđāļāļāļēāļ.
āļāļĢāļ°āļŠāļāļāļēāļĢāļāđ:
1 āļāļĩāļāļķāđāļāđāļ
āļāļąāļāļĐāļ°:
Analytical Thinking, Thai
āļāļĢāļ°āđāļ āļāļāļēāļ:
āļāļēāļāļāļĢāļ°āļāļģ
āđāļāļīāļāđāļāļ·āļāļ:
āļŋ23,000 - āļŋ25,000, āļŠāļēāļĄāļēāļĢāļāļāđāļāļĢāļāļāđāļāđ
- Develop and implement comprehensive marketing strategies to increase brand awareness, market share, and revenue.
- Conduct market research, competitor analysis, and customer behavior insights to identify new opportunities.
- Collaborate with cross-functional teams (e.g., Sales, Product, Creative) to align marketing strategies with business goals.
- Monitor and evaluate the performance of marketing campaigns using KPIs and analytics tools.
- Prepare and present strategic plans, reports, and recommendations to management.
- Stay updated with industry trends, emerging marketing tools, and digital platforms.
- Manage and optimize the marketing budget for maximum ROI.
- Support brand positioning and go-to-market strategy for new products or services..
- Bachelor s degree or higher in Marketing, Business Administration, or a related field.
- 2-5 years of experience in strategic marketing, strategic planning, or digital marketing.
- Strong analytical, problem-solving, and strategic thinking skills.
- Excellent communication and presentation skills.
- Ability to work independently and as part of a team.
- Experience in B2B or B2C marketing is a plus..
āļāļĢāļ°āļŠāļāļāļēāļĢāļāđ:
1 āļāļĩāļāļķāđāļāđāļ
āļāļĢāļ°āđāļ āļāļāļēāļ:
āļāļēāļāļāļĢāļ°āļāļģ
āđāļāļīāļāđāļāļ·āļāļ:
āļŋ15,000 - āļŋ18,000, āļŠāļēāļĄāļēāļĢāļāļāđāļāļĢāļāļāđāļāđ
- āļ§āļēāļāđāļāļāļāļēāļĢāļāļāļŠāđāļāļŠāļīāļāļāđāļē āđāļŦāđāđāļāđāļāđāļāļāļēāļĄāļāļģāļŦāļāļāļ§āļąāļāļŠāđāļāļĄāļāļāļāļāļāļāļģāļŠāļąāđāļāļāļ·āđāļ (Order).
- āļāļĢāļ§āļāļŠāļāļāļāļģāļŠāļąāđāļāļāļ·āđāļ (Order) āđāļĨāļ°āļāļĢāļ°āļŠāļēāļāļāļēāļāļāļąāļāļāđāļēāļĒāļāļēāļĒāđāļāļĩāđāļĒāļ§āļāļąāļāļĢāļēāļĒāļāļēāļĢāļāļĩāđāļāļ°āļāļąāļāļŠāđāļ.
- āļāļĢāļ§āļāļŠāļāļāļāļģāļŠāļąāđāļāļāļ·āđāļāļĨāđāļ§āļāļŦāļāđāļē 1 āļŠāļąāļāļāļēāļŦāđ āđāļāļ·āđāļāđāļāđāļāđāļŦāđāļāđāļēāļĒāļāļēāļĒāļāļĢāļēāļ āđāļĨāļ°āļāļĢāļ°āđāļĄāļīāļāļāļ§āļēāļĄāļāļĢāđāļāļĄāļāļāļāļĢāļāļŠāļģāļŦāļĢāļąāļāļāļēāļĢāļāļāļŠāđāļ.
- āļāļāļīāļāļąāļāļīāļāļēāļāļāļ·āđāļ āđ āļāļēāļĄāļāļĩāđāđāļāđāļĢāļąāļāļĄāļāļāļŦāļĄāļēāļĒāļāļēāļāļāļđāđāļāļąāļāļāļąāļāļāļąāļāļāļē.
- āđāļĄāđāļāļģāļāļąāļāđāļāļĻ.
- āļāļēāļĒāļļ 24-36 āļāļĩ.
- āļŠāļģāđāļĢāđāļāļāļēāļĢāļĻāļķāļāļĐāļēāļĢāļ°āļāļąāļ āļāļ§āļŠ. āļāļķāđāļāđāļ.
- āļĄāļĩāļāļĢāļ°āļŠāļāļāļēāļĢāļāđāđāļāļŠāļēāļĒāļāļēāļāļāļĒāđāļēāļāļāđāļāļĒ 1 āļāļĩ.
- āļĄāļĩāļāļ§āļēāļĄāļāļĨāđāļēāļāļīāļ āļāļĨāđāļēāļāļąāļāļŠāļīāļāđāļ āđāļĨāļ°āļŠāļ·āđāļāļŠāļēāļĢāļāļĒāđāļēāļāļāļąāļāđāļāļ.
- āļŠāļēāļĄāļēāļĢāļāđāļāđāļāļąāļāļŦāļēāđāļāļāļēāļ°āļŦāļāđāļēāđāļāđ.
- āđāļāļīāļāļāļēāļāļĄāļēāļāļģāļāļēāļāđāļāļāđāļāđ.
āļāļĢāļ°āļŠāļāļāļēāļĢāļāđ:
3 āļāļĩāļāļķāđāļāđāļ
āļāļąāļāļĐāļ°:
Problem Solving, Excel, SQL, English
āļāļĢāļ°āđāļ āļāļāļēāļ:
āļāļēāļāļāļĢāļ°āļāļģ
āđāļāļīāļāđāļāļ·āļāļ:
āļŠāļēāļĄāļēāļĢāļāļāđāļāļĢāļāļāđāļāđ
- Work on a big scale project to come up with high level business strategy.
- Define KPI and top-line target for key business metrics for commercial team to followed.
- Face high business challenges to utilize and improve problem solving skill with high learning curves.
- Job Description: Strategically design scheme and improve monthly KPI to drive the organization to reach the target.
- Analyze complex data to find valuable insights in order to drive business performance.
- Demonstrate leadership to guide the overall project requirements in initiation, planning, execution, monitoring, evaluation, and closure.
- Organize and optimize project resources (budget, timeline, workforce).
- Coordinate with internal teams and external partners to solve errors.
- Requirements: Minimum Bachelor's degree in management, business or any related field.
- Minimum 3 years of work experience in related fields.
- Strong Excel skill is required.
- Basic SQL skill is required.
- Good communication and presentation skills, both speaking and written in Thai and English.
- Strong analytical skill and able to make judgement based on logical reasons.
- Good team players and leadership skills with growth mindset.
- Demonstrated ability to learn fast, handle multiple tasks, to prioritize those tasks and meet deadlines.
- Flexible in working hours (issues that require attention can occur outside normal working hours).
āļāļĢāļ°āļŠāļāļāļēāļĢāļāđ:
1 āļāļĩāļāļķāđāļāđāļ
āļāļąāļāļĐāļ°:
SQL, Python, Excel, English
āļāļĢāļ°āđāļ āļāļāļēāļ:
āļāļēāļāļāļĢāļ°āļāļģ
āđāļāļīāļāđāļāļ·āļāļ:
āļŠāļēāļĄāļēāļĢāļāļāđāļāļĢāļāļāđāļāđ
- Developing reports, dashboards, analysis and some automations (will be generally with SQL, PYTHON, EXCEL, in-House tools).
- Assisting the various business units as a discussion partner to plan, strategise, and grow business by enabling data-driven decision-making.
- Serving as in-consultant who simplifies complex terminologies into more understandable insights to our internal clients.
- Producing actionable insights that will be used to support or devise new strategies.
- Requirements Master's or bachelor's degree in quantitative fields or a relevant field (e.g. Data Science/Computer Science) of study.
- 1-3 years experience in Data Analyst field.
- Experience using SQL languages for querying (Python is a plus).
- Experience working with multiple stakeholders across various divisions.
- Ability to make inferences from data and devise an appropriate course of actions.
- Time management to deliver deadlines.
- Satisfactory understanding of English.
- Comfortable working with large data sets and numbers.
- Self-starter with a can-do attitude.
āļāļĢāļ°āļŠāļāļāļēāļĢāļāđ:
5 āļāļĩāļāļķāđāļāđāļ
āļāļąāļāļĐāļ°:
Risk Management, Negotiation, Power BI, English
āļāļĢāļ°āđāļ āļāļāļēāļ:
āļāļēāļāļāļĢāļ°āļāļģ
āđāļāļīāļāđāļāļ·āļāļ:
āļŠāļēāļĄāļēāļĢāļāļāđāļāļĢāļāļāđāļāđ
- Utilize AI tools (e.g., Copilot) to prompt and analyze incident data for insights.
- Group and identify patterns of repetitive incidents to uncover root causes.
- Develop and implement action plans, preventive measures, and control mitigations to reduce the likelihood of future incidents.
- Collaborate with cross-functional teams to ensure business continuity and resilience.
- Maintain documentation and reporting for incident trends and resolution strategies.
- Qualifications Bachelor s or Master s degree in Business Administration, Economics, Risk Management, or related fields.
- At least 5 years of experience in Operational Risk Management, incident and loss management, problem management, operational forensics and fact-finding, or business continuity management.
- Strong communication, negotiation, and presentation skills.
- Excellent stakeholder management skills.
- Foundational hands-on experience with Copilot, Power Automate, Power Apps, and Power BI.
- Relevant banking experience is an advantage; experience with technology-related incidents is a plus.
- Good command of English is a plus.
- Project Focus: The main initiative for this role involves leveraging AI prompts to extract incident insights, identify recurring patterns, and proactively design solutions that prevent recurrence. This is a high-impact project that requires analytical thinking, problem-solving, and a proactive mindset. 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.
āļāļĢāļ°āļŠāļāļāļēāļĢāļāđ:
3 āļāļĩāļāļķāđāļāđāļ
āļāļąāļāļĐāļ°:
Petrochemical, Purchasing
āļāļĢāļ°āđāļ āļāļāļēāļ:
āļāļēāļāļāļĢāļ°āļāļģ
āđāļāļīāļāđāļāļ·āļāļ:
āļŠāļēāļĄāļēāļĢāļāļāđāļāļĢāļāļāđāļāđ
- At least 3-5 years experience in petroleum or petrochemical industry related to economics, planning, or commercial work.
- Understand the commercial and business process and customer purchasing behavior.
- Good at large data processing, analysis, curiosity, strategy setting, and interpersonal relationship.
- OTHER REQUIREMENTS.
āļāļĢāļ°āļŠāļāļāļēāļĢāļāđ:
3 āļāļĩāļāļķāđāļāđāļ
āļāļąāļāļĐāļ°:
Risk Management
āļāļĢāļ°āđāļ āļāļāļēāļ:
āļāļēāļāļāļĢāļ°āļāļģ
āđāļāļīāļāđāļāļ·āļāļ:
āļŠāļēāļĄāļēāļĢāļāļāđāļāļĢāļāļāđāļāđ
- Risk management implementation and monitoring.
- Develop and improve the Business Continuity Management (BCM) framework, models, manuals, and tools to align with best practices and regulatory standards.
- Conduct Business Impact Analysis (BIA) and develop Business Continuity Plans (BCP) across TOP Group and affiliates.
- Coordinate, conductand advise cross-functional teams to implement, test, and maintain BCPs and BCM initiatives. and keep effective BCP response, resume, recovery for real case incidence.
- Facilitate crisis management activities, training sessions, and simulation exercises.
- Assess and report on BCP effectiveness, and recommend improvements based on test results.
- Promote awareness and understanding of BCM through training, communication, and engagement across all organizational levels.
- EDUCATION.
- Bachelor or higher in ChemEngineer, Industrial Engineer, Petrochemical Engineer, Science, Business Administration, Economics, Social Science, Political Science, Finance or related fields.
- EXPERIENCE.
- At least 3 years experiences in Petroleum or Petrochem fields,Commercial, risk management, financial planning/management, business process/ development, audit, strategy or human resources., Insurance.
- OTHER REQUIREMENTS.
āļāļĢāļ°āļŠāļāļāļēāļĢāļāđ:
3 āļāļĩāļāļķāđāļāđāļ
āļāļąāļāļĐāļ°:
Data Analysis, SQL, Compliance
āļāļĢāļ°āđāļ āļāļāļēāļ:
āļāļēāļāļāļĢāļ°āļāļģ
āđāļāļīāļāđāļāļ·āļāļ:
āļŠāļēāļĄāļēāļĢāļāļāđāļāļĢāļāļāđāļāđ
- Understand customer experience design and user experience principles.
- Possess a good understanding of digital developments and customer expectations regarding digital banking products and services in the Thai market.
- Translate business needs into clear data and AI use cases, collaborating with data engineers and AI engineers to ensure business alignment.
- Act as a bridge between data engineering teams and business stakeholders to align technical implementation with strategic goals.
- Experience in working with and analysing third-party APIs required for core banking.
- Ability to facilitate workshops, design sessions, and gather requirements from Business, Technology teams, SMEs, stakeholders, and senior project leadership.
- Highly skilled in creating high-quality documents such as Business Requirements Documents (BRDs), Functional Specification Documents (FSDs), and Technical Specification Documents (TSDs).
- Understand the end-to-end functional and data flow of the product or application.
- Experience in data analysis with intermediate to advanced SQL knowledge to analyse business data in underlying systems and databases.
- Experience in Core Banking projects, Open banking, and regulatory and compliance knowledge in the Thai market is highly preferable.
- Proficient in Agile methodologies, including User Story Mapping, Backlog Prioritization, and program management.
- Possess a good understanding of Mobile Apps, mobile operating systems, and digital banking/finance apps in the market.
- Overall, 3-6 years of experience with strong business knowledge of digital banking services and a good understanding of wholesale and retail banking product portfolios in Thailand.
- Proven interpersonal, data analysis, diplomatic, management, and prioritization skills.
- Consistently demonstrate clear and concise written and verbal communication.
- Proven ability to manage multiple activities, build and develop working relationships.
- Demonstrated self-motivation to take initiative and quickly master new tasks.
- Ability to work under pressure to meet tight deadlines and approach work methodically with attention to detail.
- Experience with tools like SharePoint, Jira, ADO, and Confluence.
- Good to have exposure to Cloud platforms (Azure, AWS, GCP, OCI, etc.).
- Strong analytical mindset with the ability to break down complex business problems.
- Prior experience in mobile banking is a plus.
- Excellent written and verbal communication skills.
āļāļĢāļ°āļŠāļāļāļēāļĢāļāđ:
2 āļāļĩāļāļķāđāļāđāļ
āļāļąāļāļĐāļ°:
Big Data, SQL, Oracle, English
āļāļĢāļ°āđāļ āļāļāļēāļ:
āļāļēāļāļāļĢāļ°āļāļģ
āđāļāļīāļāđāļāļ·āļāļ:
āļŠāļēāļĄāļēāļĢāļāļāđāļāļĢāļāļāđāļāđ
- Support the project teams in applying emerging technologies to help our clients maximize the value of their data by generating actionable insights that provide real business outcomes.
- Together with the consulting team, design and implement data structures to support Big Data, Analytical models and traditional BI/DW reporting solutions using technologies such as Microsoft SQL, Oracle, SAP, Cloudera, IBM Watsons, MuleSoft, Qlik Technologies or Informatica.
- Provide support in designing and developing data integration using Data Governance, Data Quality, MDM and Metadata management.
- Applying analytical models to predict business outcomes with tools such as DataRobot and languages like Python or R.
- You will be part of a collaborative team that provides our clients with solutions that are practical as well as visionary and have an impact from the back office to the boardroom.
- Support the project teams in recommending BI/DW/Analytics processes, governance, organisational and platform models, tool selections, and data integration options to clients.
- 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, Analysts 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:Fresh graduates In your final year of study or recent graduate between 0-2 years of work experience.
- Strong academic degree / master in Computer Science, Data, Computer Engineering, Statistics, Mathematics, Engineering, or related disciplines.
- Proficient in at least one programming language (Python, C, Java, etc.).
- Good understanding in Artificial Intelligence and Machine Learning.
- Understanding of SDLC Waterfall and Agile Development Methodologies is a plus.
- Some knowledge of Intelligence Automation software e.g. Automation Anywhere, BluePrism, UiPath or WorkFusion or cloud platforms e.g. Amazon Web Services (AWS), Google Cloud Platform (GCP) or Microsoft Azure is a plus.
- An interest in data ingestion and transformation pipelines using Big Data technologies, including one or more of the following: Spark, Hive, Pig, Kafka, MapReduce, HBase, Sqoop, Flume or Storm.
- General knowledge of Linux/Unix based operating systems and Shell scripting would be an advantage.
- Demonstrates interest for all the latest technologies, libraries & languages.
- Strong analytical skills, excellent oral and written communication skills in English, self-motivated, and able to work in stressful situations with changing priorities.
- Drive, tenacity, entrepreneurship, client focused and results oriented. You enjoy working methodically and with a great attention to detail.
- Proven demonstration of sound business acumen & teamwork, confidence in public speaking and presentation preparation is appreciated.
- 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.
- This role is open to those that possess a valid permit or status to work in Thailand.
- Requisition ID: 110720In 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.
āļāļĢāļ°āļŠāļāļāļēāļĢāļāđ:
3 āļāļĩāļāļķāđāļāđāļ
āļāļąāļāļĐāļ°:
Sales, Statistical Analysis, Power BI, English
āļāļĢāļ°āđāļ āļāļāļēāļ:
āļāļēāļāļāļĢāļ°āļāļģ
āđāļāļīāļāđāļāļ·āļāļ:
āļŠāļēāļĄāļēāļĢāļāļāđāļāļĢāļāļāđāļāđ
- Source, extract, and consolidate sales data from various internal systems (e.g., DMS) and external sources.
- Clean, validate, and transform raw data to ensure accuracy, consistency, and readiness for analysis.
- Develop and maintain robust data pipelines and processes for efficient data acquisition.
- Conduct in-depth statistical analysis of sales performance metrics, including sales trends, pipeline health, conversion rates, customer behavior, and market share.
- Identify key drivers of sales performance, opportunities for improvement, and potential risks.
- Perform root cause analysis for variances in sales results against targets or forecasts.
- Develop and apply predictive models for sales forecasting, lead scoring, or customer segmentation as needed.
- Design, develop, and maintain interactive dashboards and reports using business intelligence tools (e.g., Power BI) to visualize sales data and key performance indicators (KPIs).
- Prepare regular and ad-hoc reports and presentations for sales leadership, highlighting key findings, insights, and strategic recommendations.
- Ensure reports are accurate, timely, and effectively communicate complex data to non-technical stakeholders.
- Continuously seek to improve data quality, reporting processes, and analytical methodologies.
- Stay informed about industry best practices in data analytics and sales operations.
- Bachelor or mastered degree in Statistics, Mathematics, Economics, Computer Science, Business Analytics, or a related discipline, Data Science, BI tool is a plus.
- 3-5+ years of experience in a data analysis role, specifically within sales analysis, business intelligence, or a related analytical function.
- Proven experience working with large datasets and complex business problems of with understating sales process, metrics and key performance both Modern Trade and Traditional Trade, FMCG.
- Technical Proficiency in Power BI, SQL, Excel (Pivot Table, Power Query, Tableau is a plus).
- Familiarity with data warehousing and cloud data platforms (e.g., Azure, GCP) is a plus.
- Good written and verbal communication in Thai and English skills.
- Strong critical thinking and analytical capabilities to interpret complex data, identify trends, and draw actionable conclusions.
- Excellent problem-solving skills with a meticulous attention to detail and accuracy.
- Ability to structure and perform analyses, synthesize information, and develop recommendations with strong presentation skills.
- Ability to build strong relationships with diverse teams.
- Self-motivated, proactive, ability to work independently and collaboratively within a team environment.
- Strong organizational skills with the ability to manage multiple projects and deadlines.
- Working Conditions.
- Primarily an office-based role with standard business hours.
- May occasionally require flexibility in work hours to meet project deadlines or support sales teams.
- No Relocation support available Business Unit Summary.
- MondelÄz International in Southeast Asia is in five countries serving 19 markets with more than 18 nationalities and 7,500 employees. This group is emerging as one of the fastest growing regions in Asia, the Middle East and Africa, and we are proud of consistently producing high quality products in nine manufacturing sites. We are market leaders in key snacking categories, making and selling brands like Oreo and Tiger biscuits, Kinh Do mooncakes, Jacob s crackers, Cadbury Dairy Milk chocolate, Tang powdered beverage, Halls candy and Eden cheese. We set the benchmark in being a responsible business and contributing to the communities in which we operate. MondelÄz International is an equal opportunity employer and all qualified applicants will receive consideration for employment without regard to race, color, religion, gender, sexual orientation or preference, gender identity, national origin, disability status, protected veteran status, or any other characteristic protected by law.
- Job Type.
- Regular Sales Operations Sales
āļāļĢāļ°āļŠāļāļāļēāļĢāļāđ:
2 āļāļĩāļāļķāđāļāđāļ
āļāļąāļāļĐāļ°:
SQL, Fast Learner, Teamwork, English
āļāļĢāļ°āđāļ āļāļāļēāļ:
āļāļēāļāļāļĢāļ°āļāļģ
āđāļāļīāļāđāļāļ·āļāļ:
āļŠāļēāļĄāļēāļĢāļāļāđāļāļĢāļāļāđāļāđ
- Analyze and evaluate current systems.
- Identify new system requirements.
- Gathering Requirement and Documentation.
- Suggest solutions for process improvement.
- Communicate with users to understand their additional requirements and needs.
- Work with IT team and developers to produce new and improve existing systems.
- Regularly test and troubleshoot.
- Fix issues in a timely manner.
- Train and educate others on the team.
- Attend various educational events and stay up to date with latest technology and best practices.
- Bachelor s Degree or higher in Computer Science, Computer Engineering, IT or any related fields.
- At least 2 years of working experience as System Analyst.
- Strong in gathering requirement and doing documentations.
- Excellent knowledge in Database management (SQL, PL/SQL).
- Proactive, self-motivated, systematic thinking, fast learner and positive attitude in teamwork.
- Mature with strong leadership and organizational skills.
- Good communication skill.
- Thai Native level with good command in English.
āļāļĢāļ°āļŠāļāļāļēāļĢāļāđ:
1 āļāļĩāļāļķāđāļāđāļ
āļāļąāļāļĐāļ°:
Big Data, SQL, Tableau, English
āļāļĢāļ°āđāļ āļāļāļēāļ:
āļāļēāļāļāļĢāļ°āļāļģ
āđāļāļīāļāđāļāļ·āļāļ:
āļŠāļēāļĄāļēāļĢāļāļāđāļāļĢāļāļāđāļāđ
- Be responsible for modeling and discovering business insight, including develop the Business Intelligence Report to deliver to Business Users.
- Using the data to analyze trends and solving problems from various sources by using statistical methods to analyze data and generate useful business reports.
- Working with data user for implementing and developing the data analyze to actionable insight.
- Gathering, understanding, and analyzing detailed of business requirements by using appropriate tools and techniques.
- Creating, monitoring, and reviewing the data dashboard/report.
- Designing and reviewing the test cases including the campaign designs.
- Bachelor s degree in Computer Science, Applied Statistics, Applied Mathematics, Information Technology, Business Computer or any related field.
- At least 1 year of experience with Data Analysis role.
- Understanding of data analysis, big data, and SQL.
- Experience using business intelligence tools or data visualization tools (i.e., Tableau).
- Able to analyze trends and patterns for solving problems of business insight in big data by working with business user and data scientist/data engineer.
- Excellent in Microsoft Excel (i.e., Pivot table, VLOOKUP) and Power Point.
- Having a business mind and detail oriented.
- Thai Native with good command in English.
āļāļĢāļ°āļŠāļāļāļēāļĢāļāđ:
2 āļāļĩāļāļķāđāļāđāļ
āļāļąāļāļĐāļ°:
SQL, Python, Automation, English
āļāļĢāļ°āđāļ āļāļāļēāļ:
āļāļēāļāļāļĢāļ°āļāļģ
āđāļāļīāļāđāļāļ·āļāļ:
āļŠāļēāļĄāļēāļĢāļāļāđāļāļĢāļāļāđāļāđ
- 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.
āļāļĢāļ°āļŠāļāļāļēāļĢāļāđ:
3 āļāļĩāļāļķāđāļāđāļ
āļāļąāļāļĐāļ°:
Python, SQL, Automation
āļāļĢāļ°āđāļ āļāļāļēāļ:
āļāļēāļāļāļĢāļ°āļāļģ
āđāļāļīāļāđāļāļ·āļāļ:
āļŠāļēāļĄāļēāļĢāļāļāđāļāļĢāļāļāđāļāđ
- Collect, clean, and manipulate large datasets using Python, Pandas, SQL, and other analytical tools.
- Create Automation Pipelines using Databricks.
- Write and maintain scripts using Python per business need.
- Ensure data integrity and accuracy across systems (Salesforce and others).
- Data Visualization & Dashboard Development Develop and maintain dashboards (Power BI, excel).
- Build interactive dashboards with filters, drilldowns, and client segmentation views.
- Provide actionable insights and recommendations to improve customer experience and business performance.
- Collaboration Collaborate with cross-functional teams to understand business needs and deliver data-driven solutions.
- What You Will Bring 3+ years of experience in data analytics or business intelligence.
- Strong problem-solving skills and ability to communicate insights effectively.
- Solid skills in Python and SQL.
- Good Understanding of Databricks Notebook and Pipelines.
- Familiarity with CRM systems and customer data structures (preferred).
- Experience in retail, luxury, or customer-centric industries is an advantage.
- Willingness to start on a 1-year contract, with the possibility of renewal.
- What Chanel Can Offer You The chance to work with a world-renowned luxury brand known for heritage and innovation.
- Supportive, team-oriented culture that values your contributions.
- At Chanel, we are focused on creating an inclusive culture that nurtures personal growth, contributing to collective progress. We believe the uniqueness of each individual increases the diversity, complementarity, and effectiveness of our teams. We strongly encourage your application, as we value the perspective, experience, and potential you could bring to Chanel.
āļāļĢāļ°āļŠāļāļāļēāļĢāļāđ:
1 āļāļĩāļāļķāđāļāđāļ
āļāļąāļāļĐāļ°:
Finance, Statistics, Python, English
āļāļĢāļ°āđāļ āļāļāļēāļ:
āļāļēāļāļāļĢāļ°āļāļģ
āđāļāļīāļāđāļāļ·āļāļ:
āļŠāļēāļĄāļēāļĢāļāļāđāļāļĢāļāļāđāļāđ
- Manage/ Clean/ Prepare internal and external data (structured/ semi-structured/ unstructured data) for model development/ deployment/ monitoring, including the production of data quality and integrity report.
- Develop statistical/ expert/ hybrid models to be able to enhance the model when model deterioration is indicated using variety of data modeling techniques such as Logistic Regression/ Random Forest/ Gradient Boosting/ Non-Parametric Regression. Also, in case of using external consultants, be able to work closely with them across all m ...
- Generate prescriptive models to respond to interactive decision to optimize risks and rewards.
- Deploy credit risk models into Databricks platform, collection system and credit decision engine and maintain any model adjustment.
- Assist and work closely with related parties, e.g. business users, credit approval officers and relationship managers to ensure credit risk models are appropriate and efficient for business direction and support for new digital lending risk assessment and platform.
- Ensure all credit risk models are qualified to be used through model life cycle. Regularly perform model monitoring, model assessment and propose proactive action/ recommendation to improve the model.
- Assist and design for business opportunity to develop alternative credit score from partnership data.
- Collaborate with IT and data engineer to ensure data availability and quality from various sources (both on-premise/ cloud) to develop an efficient model.
- Qualifications Bachelor s or higher degree in Finance, Statistics, Mathematics, Economics, MIS, Engineer, Data scientist or any related fields.
- At least 1-2 year experiences credit risk analytics, credit risk modeling/ scoring in retail banking, consumer finance or any financial business.
- Strong knowledge and skill in machine learning, credit scoring, data analytics using R/ Python/ PySpark, MATLAB, SPSS, SAS, SQL or similar required.
- Analytical mindset with excellent critical thinking ability and data analytics skills.
- Excellent computer skills and programming tools.
- Good command in both written and spoken English.
- Good project management skills.
- Good team player with a positive attitude toward hard working and working under pressure.
- Experienced in credit risk modeling, model monitoring/ validation/ deployment/ maintenance preferred.
- Prior experience in Basel/ IFRS9, RAROC, Stress Test, Big Data, Data Mining, Digital leading, Fin-tech/ Start-up is a plus.
- 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.
āļāļĢāļ°āļŠāļāļāļēāļĢāļāđ:
2 āļāļĩāļāļķāđāļāđāļ
āļāļąāļāļĐāļ°:
Visio, Excel, English
āļāļĢāļ°āđāļ āļāļāļēāļ:
āļāļēāļāļāļĢāļ°āļāļģ
āđāļāļīāļāđāļāļ·āļāļ:
āļŠāļēāļĄāļēāļĢāļāļāđāļāļĢāļāļāđāļāđ
- Gather, analyze, and document business and functional requirements from stakeholders.
- Collaborate with product managers, developers, and QA teams to translate requirements into effective solutions.
- Facilitate workshops, meetings, and interviews to identify improvement opportunities in business processes.
- Create and maintain user stories, process flows, wireframes, and other supporting documentation.
- Support UAT (User Acceptance Testing) by developing test cases and coordinating testing activities with stakeholders.
- Perform gap analysis, feasibility studies, and cost-benefit analysis for proposed solutions.
- Monitor and evaluate solution performance to ensure business goals are met.
- Act as a liaison between technical teams and non-technical stakeholders to ensure clear understanding of requirements.
- Bachelor s degree in Business Administration, Information Systems, Software Engineering, Computer Engineering or related field.
- 2-5 years of experience as a Business Analyst or in a similar role.
- Strong understanding of software development life cycle (SDLC), STLC, Agile, and Waterfall methodologies.
- Proficient in tools such as JIRA, Confluence, Visio, Excel, or other BA-related tools.
- Excellent analytical, problem-solving, and communication skills.
- Ability to work independently and manage multiple priorities in a fast-paced environment.
- Fluent in Thai with good command of English communication.
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