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āļāļĢāļ°āļŠāļāļāļēāļĢāļāđ:
3 āļāļĩāļāļķāđāļāđāļ
āļāļąāļāļĐāļ°:
Data Analysis, English
āļāļĢāļ°āđāļ āļāļāļēāļ:
āļāļēāļāļāļĢāļ°āļāļģ
āđāļāļīāļāđāļāļ·āļāļ:
āļŠāļēāļĄāļēāļĢāļāļāđāļāļĢāļāļāđāļāđ
- Conduct detailed requirements analysis and stakeholder alignment for enterprise-level projects, translating complex business objectives into actionable project specifications.
- Support large-scale project planning and orchestration across multiple workstreams, dependencies, and deliverables, identifying interdependencies and potential risks across markets and practice areas.
- Facilitate knowledge transfer and sales-to-delivery transitions for complex enterpri ...
- Deal with solution teams to analyze enterprise solution requirements and support architecture development that integrates across multiple systems, platforms, and organizational structures.
- Monitor project health and provide report to leadership and clients, tracking key performance indicators, quality metrics, and delivery milestones.
- Partner with consulting teams to conduct analysis to assess the impact, including operational efficiency gains, customer experience improvements, and business outcome measurements.
- Support financial oversight and budget management for enterprise engagements, analyzing project costs and tracking budget utilization.
- Identify process improvements and business optimization opportunities across project delivery, supporting continuous enhancement of our enterprise service capabilities.
- Partner with cross-functional teams to develop innovative solutions that address complex client challenges and drive business improvement.
- Qualifications Bachelor's degree in Business, Technology, or related field.
- 3+ years of experience in Business Analysis, Enterprise Digital Transformation, or Enterprise Project Support.
- Proven track record supporting high-value enterprise projects with complex delivery requirements.
- Strong requirements gathering, stakeholder management, and cross-functional coordination skills.
- Solid proficiency in business analysis methodologies and project management tools.
- Strong data analysis capabilities with comfort working with business intelligence platforms.
- Experience with enterprise MarTech/CX platforms and digital transformation frameworks is a plus.
- Demonstrated ability to translate complex requirements into clear, actionable insights.
- Natural curiosity with problem-solving mindset and solution-oriented consultant approach.
- Excellent English communication skills with ability to engage diverse stakeholder groups.
- Global mindset with experience working across multiple markets and cultures.
- Growth mindset with exceptional collaborative and adaptive capabilities.
- Location: Bangkok Brand: Dentsu Cxm Time Type: Full time Contract Type: Permanent
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:
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:
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:
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:
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:
āđāļĄāđāļāļģāđāļāđāļāļāđāļāļāļĄāļĩāļāļĢāļ°āļŠāļāļāļēāļĢāļāđāļāļģāļāļēāļ
āļāļąāļāļĐāļ°:
C++, Flutter, PHP, Laravel, Software Development, English
āļāļĢāļ°āđāļ āļāļāļēāļ:
āļāļēāļāļāļĢāļ°āļāļģ
āđāļāļīāļāđāļāļ·āļāļ:
āļŋ30,000 - āļŋ50,000
- Identify and engage potential clients to promote BLUELANE's software solutions.
- Understand client requirements and provide tailored software recommendations.
- Collaborate with the technical team to ensure seamless implementation of solutions.
- Prepare and deliver compelling product presentations and demonstrations.
- Maintain strong relationships with clients to ensure long-term satisfaction and repeat business.
- Stay updated on industry trends and competitor offerings to refine sales strategies.
- Bachelor s degree in Computer Science, Engineering, Business, or a related field.
- Proven experience in software sales or a related technical sales role.
- Strong understanding of software solutions and their applications in business.
- Excellent communication and presentation skills.
- Ability to build and maintain strong client relationships.
- Problem-solving mindset with a focus on customer satisfaction.
- Why to apply?.
- Join BLUELANE to be part of a dynamic team that values innovation and growth. Enjoy opportunities to work on impactful projects, a supportive company culture, and a chance to shape the future of digital solutions.
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:
āđāļĄāđāļāļģāđāļāđāļāļāđāļāļāļĄāļĩāļāļĢāļ°āļŠāļāļāļēāļĢāļāđāļāļģāļāļēāļ
āļāļąāļāļĐāļ°:
Analytical Thinking, English
āļāļĢāļ°āđāļ āļāļāļēāļ:
āļāļēāļāļāļĢāļ°āļāļģ
āđāļāļīāļāđāļāļ·āļāļ:
āļŋ27,000 - āļŋ35,000, āļŠāļēāļĄāļēāļĢāļāļāđāļāļĢāļāļāđāļāđ
- Design and optimize supply chain networks..
- Develop supply chain value stream maps and identify improvement opportunities..
- Analytical data and visualization..
- Collaborate cross-functionally to drive digital and data-enabled SCM initiatives..
- Bachelor Degree in Industrial Engineer, Supply chain management, and Business Administration..
- Having experiences 0-2 years..
- Welcome New Graduated!.
- Strategic thinking and system design mindset..
- Strong English communication and presentation skills..
- Knowledge of supply chain modeling, simulation, or process mapping tools..
- Data-driven and digital transformation-oriented working approach..
āļāļĢāļ°āļŠāļāļāļēāļĢāļāđ:
āđāļĄāđāļāļģāđāļāđāļāļāđāļāļāļĄāļĩāļāļĢāļ°āļŠāļāļāļēāļĢāļāđāļāļģāļāļēāļ
āļāļąāļāļĐāļ°:
Leadership Skill
āļāļĢāļ°āđāļ āļāļāļēāļ:
āļāļēāļāļāļĢāļ°āļāļģ
āđāļāļīāļāđāļāļ·āļāļ:
āļŠāļēāļĄāļēāļĢāļāļāđāļāļĢāļāļāđāļāđ
- āļ§āļēāļāđāļāļāđāļĨāļ°āļāļąāļāļŠāļĢāļĢāļāļāļāļĢāļ°āļĄāļēāļ āļāļĢāđāļāļĄāļāļ§āļāļāļļāļĄāļāđāļēāđāļāđāļāđāļēāļĒāđāļŦāđāđāļāđāļāđāļāļāļēāļĄāļāļĩāđāļāļģāļŦāļāļ
- āļāļĢāļīāļŦāļēāļĢāļāļąāļāļāļēāļĢ āļāļ§āļāļāļļāļĄāļāļēāļĢāļāļĨāļīāļ āđāļĨāļ°āļĄāļāļāļŦāļĄāļēāļĒāļāļēāļāđāļŦāđāļāļąāļāļāļĩāļĄāļāļĨāļīāļāļāļāļāđāļāļāļāđāļŦāļĢāļ·āļāļāļĩāļĄāļāļ·āđāļāđ āļāļĩāđāđāļāļĩāđāļĒāļ§āļāđāļāļāđāļāđāļāļĒāđāļēāļāđāļŦāļĄāļēāļ°āļŠāļĄāđāļĨāļ°āđāļāđāļāļĢāļ°āļāļ āđāļāđāļ āļāļĢāļēāļāļīāļ āļāļēāļ§āļāđāļāļĩāđāļāđāļāļāļĢāđ āđāļĨāļ°āļāļąāļāļāļĨāļēāļĒāđāļāļāļĢāđ
- āļŠāļĢāļĢāļŦāļēāđāļĨāļ°āļĢāļ§āļāļĢāļ§āļĄāļāļąāļāļāļĨāļēāļĒāđāļāļāļĢāđāļĢāļēāļĒāđāļŦāļĄāđāļāļĒāļđāđāđāļŠāļĄāļ āđāļāļ·āđāļāđāļāļīāđāļĄāļāļĢāļ°āļŠāļīāļāļāļīāļ āļēāļāđāļāļāļēāļĢāļāļģāļāļēāļ āđāļĨāļ°āļŠāļēāļĄāļēāļĢāļāļāļ§āļāļāļļāļĄāļāļāļāļĢāļ°āļĄāļēāļāđāļāđāļāļĒāđāļēāļāđāļŦāļĄāļēāļ°āļŠāļĄ
- āļĢāļ§āļāļĢāļ§āļĄāđāļĨāļ°āļāļąāļāļāļēāļĢāđāļāļāļŠāļēāļĢāđāļāļĩāđāļĒāļ§āļāļąāļāļāļāļāļĢāļ°āļĄāļēāļāļāļąāđāļāļāļēāļāļāļĩāđāļĢāļąāļāļāļīāļāļāļāļ
- āļāđāļāļŦāļē āļ§āļīāđāļāļĢāļēāļ°āļŦāđ āđāļĨāļ°āļŠāļĢāļļāļāđāļāļ·āđāļāļŦāļē āđāļāļĩāđāļĒāļ§āļāļąāļāļĢāļ°āļāļāđāļĨāļ°āļāļēāļĢāļāļĨāļīāļāļāļāļāđāļāļāļāđāđāļŦāļĄāđāđ āđāļŦāđāļāļąāļāļŦāļāđāļ§āļĒāļāļēāļ āđāļāļ·āđāļāļāļāļāđāļāļāļĢāļđāļāđāļāļāđāļĨāļ°āđāļāļ§āļāļēāļāļāļēāļĢāļāļąāļāļāļēāļāđāļŦāļĄāđāđ
- āđāļāđāđāļāļĢāļ·āđāļāļāļĄāļ·āļāļāļēāļĢāļāļģāļāļēāļ āđāļāđāļ Google Docs, Google Sheets, Google Slides āđāļĨāļ° Canva āđāļāđāļāļĒāđāļēāļāļāļĨāđāļāļāđāļāļĨāđāļ§.
- āļāļĢāļīāļāļāļēāļāļĢāļĩ āļŠāļēāļāļēāļāļīāđāļāļĻāļĻāļēāļŠāļāļĢāđāļŦāļĢāļ·āļāļŠāļēāļāļēāļāļ·āđāļāđ āļāļĩāđāđāļāļĩāđāļĒāļ§āļāđāļāļ
- āļĄāļĩāļāļĢāļ°āļŠāļāļāļēāļĢāļāđāļāđāļēāļāļāļēāļĢāļāļąāļāļāļēāļāļāļĩāđāļ§āļāļāđāđāļĨāļ°āļāļēāļāđāļŠāļāļ āļāļąāđāļāđāļāđ 2-4 āļāļĩ
- āļĄāļĩāļāļ§āļēāļĄāļĢāļđāđāļāđāļēāļāļāļļāļĢāļāļīāļ āļāļĢāļīāļŦāļēāļĢāļāļāļāļĢāļ°āļĄāļēāļāļāļāļāļāļēāļĢāļāļąāļāļāļēāļāļāļĩāđāļ§āļāļāđāđāļĨāļ°āļāļēāļāđāļŠāļāļ
- āļĄāļĩāļāļ§āļēāļĄāļĢāļđāđ āļāļ§āļēāļĄāļŠāļēāļĄāļēāļĢāļāđāļāļāļēāļĢāļāļĢāļīāļŦāļēāļĢāļāļąāļāļāļēāļĢāļāļēāļĢāļāļģāļāļēāļāļāļĩāđāļ§āļāļāđāļāđāļēāļāđ āļāļąāđāļāļĢāļđāļāđāļāļāļāļāļāđāļĨāļāđāđāļĨāļ°āļāļāļāđāļĨāļāđ
- āļĄāļĩāļāđāļāļĄāļđāļĨ āļĢāļēāļĒāļāļ·āđāļ āđāļĨāļ°āļĢāļēāļāļēāļāļāļāļāļąāļāļāļĨāļēāļĒāđāļāļāļĢāđāļāđāļēāļāđ āļāļĩāđāđāļāļĩāđāļĒāļ§āļāđāļāļāļāļąāļāļāļēāļāļāļĩāđāļ§āļāļāđāđāļĨāļ°āļāļēāļāđāļŠāļāļ
- āļĄāļĩāļāļ§āļēāļĄāļĢāļđāđ āļāļ§āļēāļĄāđāļāđāļēāđāļ āļāļ§āļēāļĄāļŠāļēāļĄāļēāļĢāļāđāļāļāļąāļāļāļēāļĢāđāļāļāļŠāļēāļĢāđāļĨāļ°āļāļēāļāļĢāļ°āļāļāđāļāđāļāļĩ āļĄāļĩāļāļ§āļēāļĄāļĨāļ°āđāļāļĩāļĒāļāļĢāļāļāļāļāļ
- āļŠāļēāļĄāļēāļĢāļāļāļģāļāļēāļāđāļāđāļāļāļĩāļĄāđāļāđāļāļĩ āļĄāļĩāļĄāļāļļāļĐāļĒāļŠāļąāļĄāļāļąāļāļāđāļāļĩ
- āļĄāļĩāļāļ§āļēāļĄāļĢāļđāđ āļāļ§āļēāļĄāđāļāđāļēāđāļāļāļēāļāļŠāļēāļĒāđāļāļĢāļāļąāļāļāļąāļāđāļāļ·āđāļāļāļāđāļ (āļŠāļģāļŦāļĢāļąāļāļāļēāļĢāļāļĨāļīāļāđāļāļĨāđāļāļēāļāļāđāļēāļāđ āđāļāļāļĩāđāļ§āļāļāđ āđāļāđāļ āļāļēāļĢāļāļąāļāļāđāļ āļŦāļĢāļ·āļāđāļĄāļāļąāļāļāļĢāļēāļāļīāļ) āļŦāļēāļāļĄāļĩāļāļĢāļ°āļŠāļāļāļēāļĢāļāđāļāđāļēāļāđāļāļĢāļāļąāļāļāļąāļāļŦāļĢāļ·āļāļāļēāļĢāļāļ§āļāļāļļāļĄāļŠāđāļāļāļāļ°āļāļīāļāļēāļĢāļāļēāđāļāđāļāļāļīāđāļĻāļĐ
- āļĄāļĩāđāļŦāļ§āļāļĢāļīāļāđāļĨāļ°āđāļāđāđāļāļāļąāļāļŦāļēāđāļāļāļēāļ°āļŦāļāđāļēāđāļāđāļāļĩ.
āļāļąāļāļĐāļ°:
Big Data, SQL, English
āļāļĢāļ°āđāļ āļāļāļēāļ:
āļāļēāļāļāļĢāļ°āļāļģ
āđāļāļīāļāđāļāļ·āļāļ:
āļŠāļēāļĄāļēāļĢāļāļāđāļāļĢāļāļāđāļāđ
- 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
āļāļĢāļ°āļŠāļāļāļēāļĢāļāđ:
3 āļāļĩāļāļķāđāļāđāļ
āļāļąāļāļĐāļ°:
SQL, Excel, Automation
āļāļĢāļ°āđāļ āļāļāļēāļ:
āļāļēāļāļāļĢāļ°āļāļģ
āđāļāļīāļāđāļāļ·āļāļ:
āļŠāļēāļĄāļēāļĢāļāļāđāļāļĢāļāļāđāļāđ
- Apply data analytical skills and analyze complex datasets using SQL, Excel, and uncover key trends and insights to identify listings and violations within the Shopee content ecosystem mitigate risk for the platform and ensure good user experience.
- Design and maintain dashboards, trackers, and reports to monitor KPIs and measure progress toward strategic goals.
- Act as a data-driven consultant, advising teams on strategic direction and sustainable operational improvements.
- Work with product team to support the development of features and models to drive automation and more effective content governance.
- Design and review operational processes to drive agent productivity and quality improvements of content moderation.
- Manage the rollout and adoption of initiatives and features, including writing requests, coordinating with regional stakeholders, developing training material, reporting and tracking of impact.
- Requirements: Relevant Degree in Business, Engineering, or a related field.
- Minimum 3 years working experience in management consulting or a technology company.
- Proficiency in analytical thinking, critical reasoning, and problem-solving.
- Exceptional stakeholder management skills, with the ability to collaborate effectively with teams from diverse markets and backgrounds.
- Proven ability to work collaboratively with various stakeholders in a dynamic and multicultural environment.
- Excellent communication and interpersonal skills, with the ability to engage and influence stakeholders at all levels.
- Ability to apply analytical thinking with strong interest in working with large data sets.
- Experience/proficiency in SQL and/or excel is required.
- Ability to thrive in a dynamic and collaborative environment.
āļāļąāļāļĐāļ°:
SQL, Python, Excel, English
āļāļĢāļ°āđāļ āļāļāļēāļ:
āļāļēāļāļāļĢāļ°āļāļģ
āđāļāļīāļāđāļāļ·āļāļ:
āļŠāļēāļĄāļēāļĢāļāļāđāļāļĢāļāļāđāļāđ
- Conduct analysis of internal and external data, utilizing SQL, Python, and Excel.
- Translate complex data analyses into accessible, business-focused reports to deliver actionable insights and recommendations to senior management.
- Develop, maintain, and automate dashboards, reports, and visualizations to support strategic decision-making.
- Serve as a consultant to cross-functional teams, collaborating to identify business challenges and enhance analytical capabilities.
- Review and optimize data systems and processes to ensure data integrity and operational efficiency.
- Requirements: Bachelor's or Master's degree in a relevant field.
- Advanced proficiency in SQL and Excel (Python is a plus).
- Fresh Graduate is preferred.
- Fluency in English.
- Submitting your resume today will ensure you're among the first to be notified when a suitable opportunity arises.
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:
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.
āļāļąāļāļĐāļ°:
Microsoft Office, Excel, Statistics, English
āļāļĢāļ°āđāļ āļāļāļēāļ:
āļāļēāļāļāļĢāļ°āļāļģ
āđāļāļīāļāđāļāļ·āļāļ:
āļŠāļēāļĄāļēāļĢāļāļāđāļāļĢāļāļāđāļāđ
- Summarize data in tables, charts, and graphs.
- Analyze and interpret sales data and consumer data + One NielsenIQ portfolio data.
- Deliver final reports and presentations (category overview as well as issue-based) building a story and final recommendations.
- Review data for errors and inconsistencies.
- Use internal tools and data sources.
- Follow and fully owns Center of Excellence (COE) ways of the working process, manages Clients'/Client Business Partners (CBPs') expectations.
- Interacts with client staff on routine issues.
- Independently discusses analysis design to best answer client questions with CBP/client.
- Discuss design and calculate the Quantified Business Opportunity.
- Drive time/cost-effectiveness on the project.
- Support meeting the COE objectives as a whole.
- Inspire peers and co-workers.
- Qualifications Curiosity will bring you to understand where the market is moving and to provide business solutions based on the client's needs. Your chance to deliver high-quality client services all the time is here, working together with our client business partners, while your communication skills will help you to adapt to the multi-diverse working culture.
- Bachelor s Degree from reputable Universities.
- Fresh Graduate are welcome to apply.
- Strong business and financial acumen (including business environment and client) with excellent analytical skills.
- Understanding of growth and brand strategy.
- Strong communication skills & presentation skills, able to interpret numbers or data by storytelling techniques.
- Ability to work independently and comfortable working in a digitally enabled environment.
- Strong Organizational & interpersonal skills.
- Good client service skills and able to communicate and write effectively in English and Thai.
- Knowledge of Microsoft Office, especially PowerPoint and Excel is required.
- Retail data experience is a plus.
- Basic knowledge in statistics would be an added advantage.
- Additional InformationHybrid based role, must be physically located within job country and candidate must be a Country/Region Resident.
- 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?.
- Follow us on: LinkedIn | Instagram | Twitter | Facebook.
- 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.
āļāļąāļāļĐāļ°:
Express, SQL, Excel, English
āļāļĢāļ°āđāļ āļāļāļēāļ:
āļāļēāļāļāļĢāļ°āļāļģ
āđāļāļīāļāđāļāļ·āļāļ:
āļŠāļēāļĄāļēāļĢāļāļāđāļāļĢāļāļāđāļāđ
- Analyze internal and external data (generally with SQL, Excel, Python).
- Apply structured framework to estimate hard-to-find information and deliver original insights.
- Improve existing estimation and forecast solutions by scrutinizing current assumptions, identifying how our understanding would change if assumptions change, and quantifying these uncertainty (i.e. sensitivity analysis).
- Translate complex data analysis into accessible business-focused reports and recommendations.
- Present results to management on a regular basis.
- Serving as in-house consultant for data-driven solutions.
- Collaborate with stakeholders to build analytics capabilities.
- Maintain data pipelines, dashboards and automations.
- Requirements: Bachelor degree or higher in a relevant field of study.
- Experience working with one or more languages for querying and analysis (e.g. SQL, Python). SQL is minimum required.
- Experience developing automation scripts in Python with Linux environment.
- Strong analytical skills and must be comfortable with analysis of quantitative data.
- Good structural thinker.
- Experience working with multiple stakeholders across various divisions.
- Satisfactory understanding in English.
- Self-driven with willingness to learn and improve.
- Strong sense of responsibility and ability to work in a fast-paced and growth changing environment.
- Experience working with unstructured data is not necessary but is a plus.
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