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āļāļąāļāļĐāļ°:
Compliance, Statistics, Research
āļāļĢāļ°āđāļ āļāļāļēāļ:
āļāļēāļāļāļĢāļ°āļāļģ
āđāļāļīāļāđāļāļ·āļāļ:
āļŠāļēāļĄāļēāļĢāļāļāđāļāļĢāļāļāđāļāđ
- Develop standards, practices, and requirement for digital signature, content and data management as well as ensure consistent compliance of all implementations.
- Develop existing and future requirement for use of digital signature, content and data management system to meet data need to serve company strategy and external trends.
- Develop a strategic and tactical plan in alignment with current and future business requirement on data management.
- Identify the key data required to run the projects as well as define key issues and recommendations to solve the problems.
- Facilitate data council to provide guidelines and recommendation on business requirements, practice, and compliance.
- Communicate standards and practices regarding data management to relevant stakeholders, and monitor all implementation to ensure efficiency.
- Define, manage, and update overall data catalog as well as collate data definition, sources, and owners for key data required for the business.
- Provide information to business users as required.
- Professional Knowledge & Experiences.
- Bachelor s Degree in computer science, statistics, or operations research or related technical discipline.
- 10 years or more experience in Data Governance.
- Experience in working with digital signature, content and data management related to data architecture, integration, classification, strategy, quality management, security and privacy standards.
- Understand industry processes and uses of data throughout the lifecycle in the functions/data domains.
- Knowledge of industry and ability to translate business needs into data.
- Additional Desirable Qualification.
- CORE Competencies.
āļāļąāļāļĐāļ°:
Excel, Tableau
āļāļĢāļ°āđāļ āļāļāļēāļ:
āļāļēāļāļāļĢāļ°āļāļģ
āđāļāļīāļāđāļāļ·āļāļ:
āļŠāļēāļĄāļēāļĢāļāļāđāļāļĢāļāļāđāļāđ
- āļāļāļāđāļāļāđāļāļĢāļāļŠāļĢāđāļēāļ Data Marketing āļŠāļģāļŦāļĢāļąāļ RueJai App.
- āļāļģāļŦāļāļ Data Fields āļāļĩāđāļāđāļāļāđāļāđāļ āđāļāđāļ.
- Behavioral Data (frequency - feature usage, segmentation, customer journey vs purchase).
- Transaction Data (purchase, repurchase).
- Sale performance (lead/ channel/ target/ success rate).
- Campaign Response Data.
- Marketing Data & Analytics.
- āļāļąāļāđāļāđāļ āļĢāļ§āļāļĢāļ§āļĄ āļ§āļīāđāļāļĢāļēāļ°āļŦāđ āļāļĢāļīāļŦāļēāļĢāļāđāļāļĄāļđāļĨāļāļēāļĢāļāļĨāļēāļ Transaction āđāļĨāļ° Presale.
- āļ§āļīāđāļāļĢāļēāļ°āļŦāđāļāļĪāļāļīāļāļĢāļĢāļĄāļāļēāļĢ āļāļēāļĢāđāļāđāļāļēāļāđāļāļāļāļĨāļīāđāļāļāļąāđāļ āļāļ·āđāļāļŠāļīāļāļāđāļēāđāļĨāļ°āļāļĢāļīāļāļēāļĢ āđāļĨāļ°āļāđāļāļĄāļđāļĨāļāļēāļĄāļāļēāļĒāļļāļāđāļēāļ/ āļāļāļāđāļ.
- āļŠāļĢāđāļēāļ Lead āđāļāļ·āđāļāļāļēāļĢāļāļēāļĒ.
- āļĢāđāļ§āļĄāļ§āļēāļāđāļāļāđāļĨāļ°āļāļģāļŦāļāļāļāļĨāļļāđāļĄāđāļāđāļēāļŦāļĄāļēāļĒāļŠāļģāļŦāļĢāļąāļāđāļāļĄāđāļāļāļāļēāļĢāļāļĨāļēāļ.
- āļ§āļīāđāļāļĢāļēāļ°āļŦāđāļāļĢāļ°āļŠāļīāļāļāļīāļ āļēāļāđāļāļĄāđāļāļ āđāļāđāļ Conversion Rate, Engagement Rate, Retention Rate.
- āļāļąāļāļāļēāļāđāļāļĄāļđāļĨāđāļāļ·āđāļāļŠāļĢāđāļēāļ Dashboard āļŠāļģāļŦāļĢāļąāļāļāļīāļāļāļēāļĄ OKR āļāļāļāļāļĩāļĄ.
- āļ§āļīāđāļāļĢāļēāļ°āļŦāđāđāļāļāļēāļŠāļŠāļĢāđāļēāļāļĢāļēāļĒāđāļāđāļāļēāļāļāļĢāļīāļāļēāļĢāļ āļēāļĒāđāļāđāļāļ.
- Customer Insight & Segmentation.
- āļ§āļīāđāļāļĢāļēāļ°āļŦāđ Customer Journey āļāļāļāļĨāļđāļāļāđāļēāļāđāļāđāļĨāļ° Segment (āļāđāļēāļāđāļāļ§āļĢāļēāļ / āļāļāļāđāļ).
- āļŠāļĢāđāļēāļ Segmentation Model āđāļāđāļ.
- High Engagement Residents.
- Service Heavy Users.
- Passive Users.
- āļŠāļĢāđāļēāļ Predictive Insight āđāļāļ·āđāļāļŦāļē Upsell / Cross-sell Opportunity.
- Campaign Performance & Personalization.
- āļāļąāļāļāļģ Insight Report āđāļāļ·āđāļāļŠāļāļąāļāļŠāļāļļāļāļāļēāļĢāļāļąāļāļŠāļīāļāđāļāđāļāļīāļāļāļĨāļĒāļļāļāļāđāļāļāļāļāļĩāļĄ Marketing.
- āļāļāļāđāļāļ Targeted Campaign āļāđāļēāļ Push Notification / In-app Message / Email.
- āļ§āļīāđāļāļĢāļēāļ°āļŦāđ Conversion Rate, CTR, Engagement Rate.
- Reporting.
- āļĢāļēāļĒāļāļēāļāļāļĨāļāļēāļĢāļāļģāđāļāļīāļāļāļēāļāļāļĢāļ°āļāļģāđāļāļ·āļāļ/āđāļāļĢāļĄāļēāļŠ.
- āļĢāļēāļĒāļāļēāļ OKR.
- VU / MAU/ Growth Rate/ Engagement Rate/ Retention Rate.
- Presales/Revenue.
- āļŠāļĢāļļāļ Insight āđāļŦāđāļāļđāđāļāļĢāļīāļŦāļēāļĢāđāļāđāļāļīāļāļāļĨāļĒāļļāļāļāđ (āđāļĄāđāđāļāđāđāļāđāļāļąāļ§āđāļĨāļ).
- āļĢāļēāļĒāļāļēāļ Incentive āđāļŦāđāļāļāļąāļāļāļēāļāļāļēāļĒ (Incentive per sale/ channel).
- Support Backend RueJai App.
- āļāļģāļĢāļēāļĒāļĨāļ°āđāļāļĩāļĒāļāļāđāļāļĄāļđāļĨāļāļēāļĢāļāļēāļĒ āđāļāđāļāđāļāļāļāđāļēāļāđāđāļŠāđāđāļāļĢāļ°āļāļ backend app āđāļĨāļ°āļāļąāļāđāļāđāļāļāđāļāļĄāļđāļĨāļāļĒāđāļēāļāđāļŦāļĄāļēāļ°āļŠāļĄ.
- Skill āļāļĩāđāļāļ§āļĢāļĄāļĩ.
- āļāļāļāļāļąāļ§āđāļĨāļ āđāļĨāļ°āļāļēāļĢāļ§āļīāđāļāļĢāļēāļ°āļŦāđāļāđāļāļĄāļđāļĨ āļāļāļāļāļąāđāļāļāļģāļāļēāļĄāļāļēāļāļāđāļāļĄāļđāļĨāļāļĩāđāđāļŦāđāļ.
- Data Analytics (Excel Advanced, Tableau, etc.).
- Strategic Thinking + Business Mindset.
- āđāļāđāļ Data Analyst āļāļĩāđāđāļāđāļēāđāļ Marketing.
- āļāļĢāļīāļāļāļēāļāļĢāļĩāļŦāļĢāļ·āļāļŠāļđāļāļāļ§āđāļē āļŠāļēāļāļēāļāļēāļĢāļāļĨāļēāļ āļāļĢāļīāļŦāļēāļĢāļāļļāļĢāļāļīāļ āļŠāļāļīāļāļī āļ§āļīāļāļĒāļēāļāļēāļĢāļāđāļāļĄāļđāļĨ āļŦāļĢāļ·āļāļŠāļēāļāļēāļāļ·āđāļāļāļĩāđāđāļāļĩāđāļĒāļ§āļāđāļāļ.
- āļĄāļĩāļāļĢāļ°āļŠāļāļāļēāļĢāļāđāļāđāļēāļ Data Analytics / Marketing Analytics / CRM āļāļĒāđāļēāļāļāđāļāļĒ 2-3 āļāļĩ.
- āļŠāļĄāļąāļāļĢāļāļēāļ āđāļāļĢāļāļĢāļ°āļāļļ Expected Salary.
- Co working Space
- āļāļīāļāđāļāļ
- āļāļĢāļ°āļāļąāļāļŠāļąāļāļāļĄ / āļāļĢāļ°āļāļąāļāļŠāļļāļāļ āļēāļ / āļāļĢāļ°āļāļąāļāļāļĩāļ§āļīāļ / āļāļĢāļ°āļāļąāļāļāļļāļāļąāļāļīāđāļŦāļāļļ
- āļāļāļāļāļļāļāļŠāļģāļĢāļāļāđāļĨāļĩāđāļĒāļāļāļĩāļ
- āđāļāļāļąāļŠāļāļĢāļ°āļāļģāļāļĩ
- āļ§āļąāļāļĨāļēāļāļąāļāļĢāđāļāļ āđāļĄāļ·āđāļāļāđāļēāļāļāļāļĨāļāļāļāļēāļ
- āļ§āļąāļāļĨāļē Workation
- āļ§āļąāļāļŦāļĒāļļāļāļāļīāđāļĻāļĐāđāļāđāļāļ·āļāļāđāļāļīāļ
- āļāļĢāļ§āļāļŠāļļāļāļ āļēāļāļāļĢāļ°āļāļģāļāļĩ
- āđāļāļīāļāļāđāļ§āļĒāđāļŦāļĨāļ·āļāļŠāļĄāļĢāļŠ / āđāļāļīāļāļāđāļ§āļĒāđāļŦāļĨāļ·āļāļāļēāļāļāļāļīāļ.
- āļāļēāļĢāđāļāļīāļāļāļēāļ
- BTS: āļŠāļāļēāļāļĩāļāļŦāļĨāđāļĒāļāļīāļ24
- MRT: āļŠāļāļēāļāļĩāļāļŦāļĨāđāļĒāļāļīāļ
- āļāļĢāļīāļāļēāļĢāđāļĢāļĩāļĒāļāļĢāļāļāđāļēāļ App MuvMi.
- āļāļīāļāļāļēāļĄāļāđāļēāļ§āļŠāļēāļĢāļāļēāļ SC ASSET āđāļāđāļāļĩāđ
- http://insidesc.scasset.com/.
āļāļąāļāļĐāļ°:
SAS, SQL, Tableau
āļāļĢāļ°āđāļ āļāļāļēāļ:
āļāļēāļāļāļĢāļ°āļāļģ
āđāļāļīāļāđāļāļ·āļāļ:
āļŠāļēāļĄāļēāļĢāļāļāđāļāļĢāļāļāđāļāđ
- Produce daily, weekly, monthly business report for the Collections Department.
- Develop and automated data processes, including routine and ad-hoc reports, to improve efficiency.
- Coordinated cross-functional teams to define business objectives and present complex data insights clearly.
- Analyzed and improved existing business reports and provided support for problem-solving and new business requirements.
- Enhance collector performance by implementing report for performance tracking, involving requirements gathering and report template design by using tools such as SAS.
- Design and develop data visualization, dashboards, to support business comprehend data and make critical decisions.
- Estimate costs and benefits for incentive schema of the Collections Department.
- Bachelors and / or Masters degree in any field.
- 3+ years experience as MIS.
- Experience in using SAS, SQL, Powe BI, Tableau, Access and Excel (Pivot, VLOOKUP).
āļāļąāļāļĐāļ°:
Accounting, Data Analysis
āļāļĢāļ°āđāļ āļāļāļēāļ:
āļāļēāļāļāļĢāļ°āļāļģ
āđāļāļīāļāđāļāļ·āļāļ:
āļŋ20,000 - āļŋ25,000, āļŠāļēāļĄāļēāļĢāļāļāđāļāļĢāļāļāđāļāđ
- āļāļĢāļīāļāļāļēāļāļĢāļĩāļāđāļēāļāļ§āļīāļāļĒāļēāļĻāļēāļŠāļāļĢāđ, āļāļąāļāļāļĩ āļŦāļĢāļ·āļ āļŠāļēāļāļēāļāļĩāđāđāļāļĩāđāļĒāļ§āļāđāļāļ.
- āļĄāļĩāļāļĢāļ°āļŠāļāļāļēāļĢāļāđāļāđāļēāļ Accounting, Oil Accounting āļŦāļĢāļ·āļ āļāļļāļĢāļāļīāļāđāļĢāļāļāļĨāļąāđāļ / āļāļĨāļąāļāļāļēāļ āļāļ°āđāļāđāļĢāļąāļāļāļēāļĢāļāļīāļāļēāļĢāļāļēāđāļāđāļāļāļīāđāļĻāļĐ.
- Presentation skill, Infographic, Data analysis, Ai & Digital skill.
- āļāļđāđāļĨāđāļĨāļ°āļāļąāļāļāļķāļāļāđāļāļĄāļđāļĨāļāļēāļĢāđāļāļĨāļ·āđāļāļāđāļŦāļ§āđāļĨāļ°āļŠāļīāļāļāđāļēāļāļāļāļĨāļąāļāļāđāļģāļĄāļąāļ (Oil Movement & Inventory) āļāļąāđāļāļāđāļēāļāļāļĢāļīāļĄāļēāļāđāļĨāļ°āļāļļāļāļāđāļē.
- āļāļĢāļ°āļāļāļĒāļāļāļāđāļāļĄāļđāļĨ Oil Accounting āļĢāļ°āļŦāļ§āđāļēāļāļĢāļ°āļāļāļāļāļīāļāļąāļāļīāļāļēāļĢāđāļĨāļ°āļĢāļ°āļāļāļāļąāļāļāļĩ āļāļĢāđāļāļĄāļ§āļīāđāļāļĢāļēāļ°āļŦāđ Gain/Loss.
- āļāļąāļāļāļģāļĢāļēāļĒāļāļēāļ Oil Accounting āđāļĨāļ°āļŠāļāļąāļāļŠāļāļļāļāļāļēāļĢāļāļīāļāļāļąāļāļāļĩāļāļĢāļ°āļāļģāđāļāļ·āļāļ.
- āļāļĢāļ°āļŠāļēāļāļāļēāļāļāļąāļāļŦāļāđāļ§āļĒāļāļēāļāļāļĩāđāđāļāļĩāđāļĒāļ§āļāđāļāļ āđāļĨāļ°āļŠāļāļąāļāļŠāļāļļāļāļāļēāļĢāļāļĢāļ§āļāļŠāļāļāļāļēāļ Auditor.
- āļāļąāļāļāļģāļĢāļēāļĒāļāļēāļāļ§āļīāđāļāļĢāļēāļ°āļŦāđāļāđāļāļĄāļđāļĨ āđāļĨāļ° Presentation āļāļēāļĄāļāļĩāđāđāļāđāļĢāļąāļāļĄāļāļāļŦāļĄāļēāļĒ.
- āļāļĢāļ°āļāļąāļāļāļĩāļ§āļīāļ / āļāļĢāļ°āļāļąāļāļāļļāļāļąāļāļīāđāļŦāļāļļ.
- āļāļĢāļ§āļāļŠāļļāļāļ āļēāļāļāļĢāļ°āļāļģāļāļĩ āļ§āļąāļāļāļĩāļāļāļēāļĄāļĪāļāļđāļāļēāļĨ.
- āļāđāļēāļĨāđāļ§āļāđāļ§āļĨāļē (OT).
- āđāļāļĩāđāļĒāđāļĨāļĩāđāļĒāļ.
- āļŠāļ§āļąāļŠāļāļīāļāļēāļĢāđāļāļāļĒāļ·āļāļŦāļĒāļļāđāļ (Flexible Benefits).
āļāļąāļāļĐāļ°:
Power BI, Microsoft Office, Power point
āļāļĢāļ°āđāļ āļāļāļēāļ:
āļāļēāļāļāļĢāļ°āļāļģ
āđāļāļīāļāđāļāļ·āļāļ:
āļŠāļēāļĄāļēāļĢāļāļāđāļāļĢāļāļāđāļāđ
- āļ§āļīāđāļāļĢāļēāļ°āļŦāđ āđāļĨāļ°āļāļąāļāļāļģāļĢāļēāļĒāļāļēāļāđāļāļĢāļĩāļĒāļāđāļāļĩāļĒāļāļāđāļāļĄāļđāļĨ āļāđāļēāļāđ āđāļāđāļ āļĢāļēāļĒāļ§āļąāļ, āļĢāļēāļĒāđāļāļ·āļāļ, āļĢāļēāļĒāļāļĩ āđāļāļĒāđāļāļĢāļĩāļĒāļāđāļāļĩāļĒāļāļāļąāļāļāđāļāļĄāļđāļĨāđāļāļāļāļĩāļāđāļāđāļēāļŦāļĄāļēāļĒ āđāļĨāļ°āļāļēāļĢāļāļĢāļ°āļĄāļēāļāļāļēāļĢāđāļāļāļāļēāļāļ āđāļāļ·āđāļāļāļģāđāļŠāļāļāļāļđāđāļāļĢāļīāļŦāļēāļĢ.
- āļāļąāļāļāļģāļāļāļāļĢāļ°āļĄāļēāļāļāļĢāļ°āļāļģāļāļĩāđāļāļŠāđāļ§āļāļāļāļ āļĒāļāļāļāļēāļĒ āđāļĨāļ°āļāđāļēāđāļāđāļāđāļēāļĒāļŠāđāļāđāļŠāļĢāļīāļĄāļāļēāļĢāļāļēāļĒ.
- āļāļąāļāļāļģāļĢāļēāļĒāļāļēāļāļŠāļĢāļļāļ Profit & Loss āļāļĢāļ°āļāļģāđāļāļ·āļāļāđāļāļĄāļļāļĄāļĄāļāļāļāļĢāļīāļŦāļēāļĢāļŊ āđāļāļ·āđāļāļāļģāđāļŠāļāļāļāļđāđāļāļĢāļīāļŦāļēāļĢ.
- āļāļąāļāļāļģāļāļēāļāļāđāļāļĄāļđāļĨāļāļēāļĄāđāļāļ§āļāļēāļāļāđāļēāļāđ āđāļāļ·āđāļāļŠāļāļąāļāļŠāļāļļāļ āļāļēāļĢāļāļģāļāļ§āļ/āļāļēāļĢāļāļģāļĢāļēāļĒāļāļēāļāļāļāļāļŠāđāļ§āļāļāļēāļāļāļ·āđāļāđ āļāļĩāđāđāļāļĩāđāļĒāļ§āļāđāļāļ āđāļāđāļ āđāļāđāļēāļŦāļĄāļēāļĒāļāļēāļĢāļāđāļēāļĒāđāļāļīāļāļāļđāļāđāļāđāļŦāđāļāļąāļāļāļāļąāļāļāļēāļ, āđāļāđāļēāļŦāļĄāļēāļĒāļāļēāļĢāļāđāļēāļĒāđāļāļīāļāļĢāļēāļāļ§āļąāļĨ āđāļāđāļāļāđāļ.
- āļāļāļāđāļāļ Dashboard āļŠāļģāļŦāļĢāļąāļāļāđāļāļĄāļđāļĨāļāđāļēāļāļāđāļēāļāđ āļāļĩāđāđāļāļĩāđāļĒāļ§āļāđāļāļ āđāļŦāđāļāļđāđāđāļāđāļāļēāļāđāļāđāļēāđāļ āđāļĨāļ°āļŠāļēāļĄāļēāļĢāļāļāļģāđāļāđāļāđāđāļāđāļāđāļēāļĒ āđāļāđāļ Power BI.
- āļāļāļāđāļāļ Template āđāļŦāđāļŠāđāļ§āļāļāļēāļāļāđāļēāļāđāļāļĩāđāđāļāļĩāđāļĒāļ§āļāđāļāļ āđāļāļ·āđāļāļĢāļāļāļĢāļąāļāļāļēāļĢāļāļģāļāļēāļāđāļāļāļēāļĢāļĢāļ§āļāļĢāļ§āļĄāļāđāļāļĄāļđāļĨ āđāļāļ·āđāļāļāđāļ§āļĒāđāļŦāđāļāļēāļĢāļāļģāļāļēāļ āđāļāđāļāļĨāļĨāļąāļāļāđāļāļĩāđāļĢāļ§āļāđāļĢāđāļ§āļāļķāđāļ.
- āļ§āļīāđāļāļĢāļēāļ°āļŦāđāļāđāļāļĄāļđāļĨāļāļ·āđāļ āđ āļāļĩāđāđāļāļĩāđāļĒāļ§āļāđāļāļ āļāļēāļĄāļāļĩāđāđāļāđāļĢāļąāļāļĄāļāļāļŦāļĄāļēāļĒ.
- āđāļŦāđāļāļģāđāļāļ°āļāļģāđāļāļāļēāļ§āļīāđāļāļĢāļēāļ°āļŦāđāļāđāļāļĄāļđāļĨ āđāļāđāļŦāļāđāļ§āļĒāļāļēāļ āļāđāļēāļ āđ āļāļĩāđāļĄāļĩāļāļēāļĢāđāļāđāļāļēāļāļāđāļāļĄāļđāļĨ.
- āļāļēāļāļāļ·āđāļ āđ āļāļĩāđāđāļāđāļĢāļąāļāļĄāļāļāļŦāļĄāļēāļĒ.
- āļĄāļĩāļāļąāļāļĐāļ°āđāļāļāļēāļĢāđāļāđāļāļāļĄāļāļīāļ§āđāļāļāļĢāđāđāļāļĢāđāļāļĢāļĄ MS ExcelāļāļąāđāļāļŠāļđāļ.
- āļĄāļĩāļāļąāļāļĐāļ°āļāļēāļĢāđāļāđāļāļāļĄāļāļīāļ§āđāļāļāļĢāđāļāļ·āđāļāđ āđāļāđāđāļāđāļāļāļĒāđāļēāļāļāļĩ: Microsoft Office; Word, Power Point.
- āļĄāļĩāļāļ§āļēāļĄāļŠāļēāļĄāļēāļĢāļāļāļēāļāļāļēāļĢāļ§āļīāđāļāļĢāļēāļ°āļŦāđ āļāļēāļĢāļ§āļēāļāđāļāļ āđāļĨāļ°āļāļēāļĢāļāļąāļāļāļēāļĢāļāļĒāđāļēāļāđāļāđāļāļĢāļ°āļāļ āđāļĨāļ°āļĄāļĩāļĄāļēāļāļĢāļāļēāļāđāļāļāļēāļĢāļāļģāļāļēāļ.
- āļĄāļĩāļāļąāļāļĐāļ°āđāļāļāļēāļĢāļŠāļ·āđāļāļŠāļēāļĢ āđāļĨāļ°āļāļ§āļēāļĄāļŠāļēāļĄāļēāļĢāļ āđāļāļāļēāļĢāđāļāļĢāļāļē āļāđāļāļĢāļāļ.
- āļĄāļĩāļāļ§āļēāļĄāļŠāļēāļĄāļēāļĢāļāđāļāļāļēāļĢāđāļĢāļĩāļĒāļāļĢāļđāđāļŠāļīāđāļāđāļŦāļĄāđ āđ āđāļāđāļĢāļ§āļāđāļĢāđāļ§.
- āļĄāļĩāļāļąāļāļĐāļ°āđāļāļāļēāļĢāļāļģāđāļŠāļāļāļāļēāļ.
- āļĄāļĩāļāļąāļāļĐāļ°āđāļāļāļēāļĢāđāļāđ Power BI (āļāđāļēāļĄāļĩ).
- āļĄāļĩāļāļ§āļēāļĄāļĢāļđāđāļāļ·āđāļāļāļēāļāļāđāļēāļāļāļēāļĢāđāļāļĩāļĒāļāđāļāļĢāđāļāļĢāļĄāļāđāļēāļ āđ (āļāđāļēāļĄāļĩ).
- āļāļīāļāļāđāļāļŠāļāļāļāļēāļĄ.
- āļāļĢāļīāļĐāļąāļ āđāļĄāđāļāļīāļĢāđāļāđāļāļĢāļ āđāļĄāļāđāļāļāđāļĄāđāļāļāđ āļāļģāļāļąāļ.
- āļāļēāļāļēāļĢāđāļĨāđāļēāđāļāđāļāļāđāļ§āļ 1 āļāļąāđāļ 26 āļāļāļāļ§āļīāļ āļēāļ§āļāļĩāļĢāļąāļŠāļīāļ āđāļāļ§āļāļāļāļĄāļāļĨ āđāļāļāļāļāļļāļāļąāļāļĢ āđāļāļ§āļāļāļāļĄāļāļĨ āđāļāļāļāļāļļāļāļąāļāļĢ āļāļąāļāļŦāļ§āļąāļāļāļĢāļļāļāđāļāļāļĄāļŦāļēāļāļāļĢ.
āļāļąāļāļĐāļ°:
Legal, Budgeting, Procurement
āļāļĢāļ°āđāļ āļāļāļēāļ:
āļāļēāļāļāļĢāļ°āļāļģ
āđāļāļīāļāđāļāļ·āļāļ:
āļŠāļēāļĄāļēāļĢāļāļāđāļāļĢāļāļāđāļāđ
- Lead and mentor officer in the data management team by fostering a culture of accountability, collaboration, and continuous learning.
- Lead the development and implementation of subsurface data policies, standards, and procedures to uphold data quality, security, confidentiality, and regulatory compliance. Provide advice to management team to define, standardize, and optimize workflows for data acquisition, storage, and utilization, ensuring alignment with industry best practices and legal requirements.
- Provide specialized support to asset teams on challenging data requests and software issues. Serve as a subject matter expert for key E&P applications (e.g., Petrel, DGS) and databases.
- Oversee the integration of diverse subsurface data sources - both digital and physical (e.g., seismic surveys, well logs, rock samples) - into corporate systems, ensuring compatibility and accessibility.
- Supervise the establishment and maintaining robust metadata frameworks, hierarchical structures, and indexing strategies to support organized data management and efficient retrieval.
- Monitor and control data access, enforce authorization protocols, and proactively mitigate risks related to data loss, corruption, or unauthorized use.
- Design and manage scalable databases and repositories, including legacy data migration and systematic archiving of historical datasets for long-term reference.
- Drive digital transformation in data management, leveraging automation technologies such as RPA and Al/ML to streamline data ingestion, validation, and reporting processes. Deliver intuitive data tools and visualization platforms that provide actionable insights and support strategic decision-making.
- Continuously evaluate and adopt advanced data management technologies to enhance operational efficiency, scalability, and alignment with evolving business needs.
- Benchmark practices against industry standards, identify opportunities for improvement, and cultivate a culture of continuous learning and innovation within the team.
- Collaborate cross-functionally with geoscientists, IT professionals, and other stakeholders to ensure database solutions meet operational and strategic objectives.
- Support planning and execution of data-related initiatives, including budgeting, procurement, and vendor management.
- Professional Knowledge & Experiences.
- Professional Knowledge.
- Strong foundation in Geographical Information System (GIS) and data management principles including data governance frameworks, quality control methodologies, and metadata standards.
- In-depth knowledge of subsurface data types and formats including well logs, seismic, and geological models.
- Proficient in Oracle and other modern databases (e.g., PostgreSQL, SQL Server, MongoDB, and cloud-native systems).
- Skilled in data modelling, performance tuning, and handling large E&P datasets.
- Knowledge of data security, backup/recovery.
- Familiar with geoscience application integration (e.g., Petrel, and Openwork).
- Experience with ETL tools, scripting (e.g., Python, Shell, and PL/SQL), and automation.
- Understanding of cloud/hybrid data environments and database migration.
- Experience.
- Over 10 years of experience in database administration, including significant work with subsurface data in the oil and gas industry.
- Proven track record in leading data policy and process development, aligning with corporate data governance.
- Experienced in overseeing complex data integration, validation, and archival projects involving structured and unstructured subsurface data.
- Skilled in designing and maintaining geospatial and subsurface data repositories, ensuring data quality and accessibility for technical users.
- Hands-on experience with automation technologies, including RPA, Al, and ML, to optimize data workflows and enhance operational efficiency.
- Strong background in data security, compliance, and risk mitigation, particularly in environments handling sensitive technical data.
- Successfully executed database migrations, upgrades, and modernization initiatives involving both on-prem and cloud platforms.
- Actively evaluates and adopts advanced database and data management tools, ensuring systems remain scalable and fit-for-purpose.
- Collaborate effectively with multi-disciplinary teams, including geoscientists, IT, and management, to support exploration and production operations.
āļāļąāļāļĐāļ°:
Java, J2EE, Spring Boot
āļāļĢāļ°āđāļ āļāļāļēāļ:
āļāļēāļāļāļĢāļ°āļāļģ
āđāļāļīāļāđāļāļ·āļāļ:
āļŠāļēāļĄāļēāļĢāļāļāđāļāļĢāļāļāđāļāđ
- We are seeking an experienced Solution Architect with a strong background in J2EE technology stack and microservices architecture to join our team. In this role, you will be responsible for designing and leading the implementation of complex software solutions that align with our business objectives. You will collaborate with stakeholders, including development teams, product owners, and executives, to ensure the technical feasibility of new initiatives and enhancements.
- For the detailed scope of work.
- Lead the design, development, and implementation of J2EE and microservices architectures.
- Collaborate with cross-functional teams to define, develop, and launch new features and functionality.
- Design, build, and maintain APIs to enable seamless integration between microservices.
- Define and enforce coding standards, architecture, and design patterns.
- Identify and resolve technical issues and defects.
- Provide technical leadership and mentoring to team members.
- Ensure that solutions meet the business and technical requirements, are scalable, and can be easily maintained and..
- Apply now if you have these advantages.
- Bachelor's degree in Computer Science, Information Technology, or a related field.
- A minimum of 5 years of experience as a Software Developer, Technical Lead, or Solution Architect in a J2EE environment.
- Demonstrated expertise in Java programming language, libraries, and frameworks (Spring Boot, Hibernate, etc.).
- Familiarity with containers (Docker), container orchestrators (Kubernetes, Docker Swarm), and cloud platforms (Amazon Web Services, Microsoft Azure, Google Cloud Platform).
- Strong problem-solving skills and the ability to learn new technologies quickly.
- Excellent communication skills, both written and verbal.
- Experience working in an Agile development environment and implementing DevOps practices is preferred.
- Strong understanding of NoSQL databases (Cassandra, MongoDB, etc.) and experience designing scalable data models for cloud applications.
- Knowledge of message brokers (Apache Kafka) and experience integrating microservices using event driven architectures.
- Familiarity with frontend technologies (React, AngularJS, etc.) and experience designing RESTful APIs is a plus.
- Experience working on large-scale, complex projects in a fast-paced environment is desirable.
- Strong understanding of database design and optimization for J2EE applications (MySQL, PostgreSQL).
- Why join Krungsri?.
- As a part of MUFG (Mitsubishi UFJ Financial Group), we a truly a global bank with networks all over the world.
- We offer a striking work-life balance culture with hybrid work policies (3 days in office per week).
- Unbelievable benefits such as attractive bonuses and many more..
- Apply now before this role is close. **.
- FB: Krungsri Career(http://bit.ly/FacebookKrungsriCareer [link removed]).
- LINE: Krungsri Career (http://bit.ly/LineKrungsriCareer [link removed]).
- Talent Acquisition Department
- Bank of Ayudhya Public Company Limited
- 1222 Rama III Rd., Bangpongpang, Yannawa, Bangkok 10120.
- āļŦāļĄāļēāļĒāđāļŦāļāļļ āļāļāļēāļāļēāļĢāļĄāļĩāļāļ§āļēāļĄāļāļģāđāļāđāļāđāļĨāļ°āļāļ°āļĄāļĩāļāļąāđāļāļāļāļāļāļēāļĢāļāļĢāļ§āļāļŠāļāļāļāđāļāļĄāļđāļĨāļŠāđāļ§āļāļāļļāļāļāļĨāđāļāļĩāđāļĒāļ§āļāļąāļāļāļĢāļ°āļ§āļąāļāļīāļāļēāļāļāļēāļāļĢāļĢāļĄāļāļāļāļāļđāđāļŠāļĄāļąāļāļĢ āļāđāļāļāļāļĩāđāļāļđāđāļŠāļĄāļąāļāļĢāļāļ°āđāļāđāļĢāļąāļāļāļēāļĢāļāļīāļāļēāļĢāļāļēāđāļāđāļēāļĢāđāļ§āļĄāļāļēāļāļāļąāļāļāļāļēāļāļēāļĢāļāļĢāļļāļāļĻāļĢāļĩāļŊ.
- Remark: The bank needs to and will have a process for verifying personal information related to the criminal history of applicants before they are considered for employment with the bank..
- Applicants can read the Personal Data Protection Announcement of the Bank's Human Resources Function by typing the link from the image that stated below.
- EN (https://krungsri.com/b/privacynoticeen).
- āļāļđāđāļŠāļĄāļąāļāļĢāļŠāļēāļĄāļēāļĢāļāļāđāļēāļāļāļĢāļ°āļāļēāļĻāļāļēāļĢāļāļļāđāļĄāļāļĢāļāļāļāđāļāļĄāļđāļĨāļŠāđāļ§āļāļāļļāļāļāļĨāļŠāđāļ§āļāļāļēāļāļāļĢāļąāļāļĒāļēāļāļĢāļāļļāļāļāļĨāļāļāļāļāļāļēāļāļēāļĢāđāļāđāđāļāļĒāļāļēāļĢāļāļīāļĄāļāđāļĨāļīāļāļāđāļāļēāļāļĢāļđāļāļ āļēāļāļāļĩāđāļāļĢāļēāļāļāļāđāļēāļāļĨāđāļēāļ.
- āļ āļēāļĐāļēāđāļāļĒ (https://krungsri.com/b/privacynoticeth).
āļāļĢāļ°āļŠāļāļāļēāļĢāļāđ:
4 āļāļĩāļāļķāđāļāđāļ
āļāļąāļāļĐāļ°:
Accounting, Negotiation
āļāļĢāļ°āđāļ āļāļāļēāļ:
āļāļēāļāļāļĢāļ°āļāļģ
āđāļāļīāļāđāļāļ·āļāļ:
āļŠāļēāļĄāļēāļĢāļāļāđāļāļĢāļāļāđāļāđ
- Act as internal consultant to support strategy development and lead execution of key strategic projects.
- Take ownership of new partnership development, identify, develop and execute plan to align with company strategy.
- Work with head of department to plan and allocate partnership budget across channels.
- Develops and maintains productive working relationships with team members.
- Tracking business performance and create monthly summary report.
- Bachelor s degree in finance, Accounting, Business, IT, Engineer or any related field.
- At least 4 years experience in Business development, Strategic Planning, Financial Planning or related field.
- Experience in consultancy companies Big4 is a plus.
- Customer orientation, self-driven, strong negotiation skills and excellent interpersonal.
- Creative problem solver.
- High proficiency with Microsoft Excel, PowerPoint, understanding of financial.
- report is a plus.
- Location: True Digital Park, Punnawithi.
āļāļąāļāļĐāļ°:
Business Development, Statistics, Power BI
āļāļĢāļ°āđāļ āļāļāļēāļ:
āļāļēāļāļāļĢāļ°āļāļģ
āđāļāļīāļāđāļāļ·āļāļ:
āļŠāļēāļĄāļēāļĢāļāļāđāļāļĢāļāļāđāļāđ
- Bachelor s degree in Business, Economics, Statistics, Engineering, or related fields (Master s degree preferred).
- 5-8 years of experience in business analysis, data strategy, or commercial development.
- Strong analytical and problem-solving skills with proven business acumen.
- Experience working with BI and analytics tools (e.g., Power BI, Tableau, SQL, Python/R).
- Ability to synthesize complex data into business-friendly insights and recommendations.
- Excellent communication and stakeholder management skills.
- Strong presentation and storytelling ability to influence senior management..
āļāļĢāļ°āđāļ āļāļāļēāļ:
āļāļēāļāļāļĢāļ°āļāļģ
āđāļāļīāļāđāļāļ·āļāļ:
āļŋ25,000 - āļŋ30,000, āļŠāļēāļĄāļēāļĢāļāļāđāļāļĢāļāļāđāļāđ
- āļāļąāļāļāļēāđāļĨāļ°āļāļĢāļąāļāđāļāđāđāļĄāđāļāļĨ Machine Learning āđāļāļ·āđāļāđāļāļīāđāļĄāļāļĢāļ°āļŠāļīāļāļāļīāļ āļēāļāđāļāļāļĢāļ°āļāļ§āļāļāļēāļĢāļāļĨāļīāļāđāļĨāļ°āļāļēāļĢāļāļģāđāļāļīāļāļāļēāļāļāļāļāļāļļāļĢāļāļīāļ.
- āļ§āļīāđāļāļĢāļēāļ°āļŦāđāļāđāļāļĄāļđāļĨāļāļēāļāļāļĢāļ°āļāļ§āļāļāļēāļĢāļāļĨāļīāļ IOT Sensor āđāļĨāļ°āļĢāļ°āļāļāļāļ§āļāļāļļāļĄ āđāļāļ·āđāļāļŠāļĢāđāļēāļ Insight āļāļĩāđāļāđāļ§āļĒāļĨāļāļāđāļāļāļļāļ āđāļĨāļ°āđāļāļīāđāļĄāļāļ§āļēāļĄāļāļĨāļāļāļ āļąāļĒ.
- āļāļāļāđāļāļāđāļĨāļ°āļŠāļĢāđāļēāļ Generative AI Models āļŠāļģāļŦāļĢāļąāļ Use case āļāđāļēāļāđ.
- āļāļģāļāļēāļāļĢāđāļ§āļĄāļāļąāļāļāļĩāļĄ Business āđāļāļ·āđāļāļŦāļē Use case āļāļĩāđāđāļŦāļĄāļēāļ°āļŠāļĄāđāļāļĩāđāļĒāļ§āļāļąāļ AI/ML.
- āļŠāļĢāđāļēāļ Pipelines āđāļāļ·āđāļāļāļģāđāļāđāļēāļāđāļāļĄāļđāļĨāļāļĩāđāļĄāļĩāļāļĢāļ°āļŠāļīāļāļāļīāļ āļēāļ.
- āļāļĢāļīāļāļāļēāļāļĢāļĩ āļŠāļēāļāļē Data Science, Computer Science, Computer Engineer āļŦāļĢāļ·āļāļŠāļēāļāļēāļāļĩāđāđāļāļĩāđāļĒāļ§āļāđāļāļ.
- āļāļĢāļ°āļŠāļāļāļēāļĢāļāđ 1 -2 āļāļĩ.
- Machine Learning, Deep Learning, Generative AI,.
- āļāļēāļĢāļāļąāļāļāļēāļĢāļāđāļāļĄāļđāļĨāļāļāļēāļāđāļŦāļāđ.
- āđāļāđāļēāđāļāļāļēāļĢāļāļģāļāļēāļāļāļāļ Visualization Tools,.
- āļāļąāļāļĐāļ°āļāļēāļĢāļāļģāļāļēāļāđāļāđāļāļāļĩāļĄ.
- āļāļēāļĢāļŠāļ·āđāļāļŠāļēāļĢāļāļĩāđāļāļĩ.
āļāļąāļāļĐāļ°:
Business Development, Statistics
āļāļĢāļ°āđāļ āļāļāļēāļ:
āļāļēāļāļāļĢāļ°āļāļģ
āđāļāļīāļāđāļāļ·āļāļ:
āļŠāļēāļĄāļēāļĢāļāļāđāļāļĢāļāļāđāļāđ
- Provide strategic guidance and actionable insights through business intelligence and market and industry analysis to top management in order to achieve sustainable business continuity.
- Looking for a candidate with experience in marketing, campaign execution and analysis, as well as the ability to develop and implement marketing ideas..
- Major Tasks / Responsibilities.
- Lead the development of data solutions and delivering customer and business insights to identify business opportunities or resolve business challenges.
- Translate business problem statements into analysis requirements and work with BUs to define best business outcomes.
- Manage projects, outcomes, resources, proposed proposals or opportunities, and overall execution of the corporate exercises, to ensure effective alignment with organization objectives.
- Advise and provide recommendation on project feasibility studies and project planning, to ensure projects achievement and minimize risks.
- Coordinate with related team and functions to create mutual understanding on expectations, processes, standards, and solutions for corporate strategy activities.
- Bachelors or Masters in Data Analytics, Statistics, Computer Science, Communications or related fields.
- Having experience in retail market is a plus.
- Having experience in marketing or campaign execution is a plus.
- Experience in a major financial with large-scale data or similar program management experience.
- At least 5 years in a management role, with board level change or transformation leadership experience.
- Advanced communications, marketing, or journalism experience.
- Good experience using business intelligence tools and data visualization best practices.
- Strong storytelling and communication skills.
- Strong analytical and problem-solving skills.
- Familiarity with data validation tools.
āļāļąāļāļĐāļ°:
SQL
āļāļĢāļ°āđāļ āļāļāļēāļ:
āļāļēāļāļāļĢāļ°āļāļģ
āđāļāļīāļāđāļāļ·āļāļ:
āļŠāļēāļĄāļēāļĢāļāļāđāļāļĢāļāļāđāļāđ
- BOT (Bank of Thailand) Contact Center for RDT related including new requirement,.
- RDT requirement interpretation.
- Provide RDT Impact assessment for all Krungsri s New Product Initiatives.
- Provide Biz requirement together with Domain expert, data owners and supported functions.
- Support all adhoc requirement.
- Establish and maintain RDT procedure.
- Sign off all the RDT changes, testing and ensure the correct result together with related Domain experts, Data Owners and support functions.
- Provide routine dashboard to all related functions for industry performance.
- Apply now if you have these advantages.
- Bachelor s degree or higher in Computer Science / Management Information System or any related field.
- Experience in Business Analyst / Data Engineer / Data Analyst / Data Governance.
- Experience in regulatory data management,its relationship and dependencies.
- Well-versed in banking industry knowledge and strong in data-related skills for senior / team leader level.
- Well-versed in RDT regulation literacy.
- Well interpersonal skill with IT/Domain Expert/Data Owner.
- Have good understanding in data related skills is a plus (SQL, Analytic, BI tools).
- Why join Krungsri?.
- As a part of MUFG (Mitsubishi UFJ Financial Group), we a truly a global bank with networks all over the world.
- We offer a striking work-life balance culture with hybrid work policies (3 days in office per week).
- Unbelievable benefits such as attractive bonuses, employee loan with special rates and many more..
- Apply now before this role is close. **.
- FB: Krungsri Career(http://bit.ly/FacebookKrungsriCareer [link removed]).
- LINE: Krungsri Career (http://bit.ly/LineKrungsriCareer [link removed]).
- Talent Acquisition Department
- Bank of Ayudhya Public Company Limited
- 1222 Rama III Rd., Bangpongpang, Yannawa, Bangkok 10120.
- āļŦāļĄāļēāļĒāđāļŦāļāļļ āļāļāļēāļāļēāļĢāļĄāļĩāļāļ§āļēāļĄāļāļģāđāļāđāļāđāļĨāļ°āļāļ°āļĄāļĩāļāļąāđāļāļāļāļāļāļēāļĢāļāļĢāļ§āļāļŠāļāļāļāđāļāļĄāļđāļĨāļŠāđāļ§āļāļāļļāļāļāļĨāđāļāļĩāđāļĒāļ§āļāļąāļāļāļĢāļ°āļ§āļąāļāļīāļāļēāļāļāļēāļāļĢāļĢāļĄāļāļāļāļāļđāđāļŠāļĄāļąāļāļĢ āļāđāļāļāļāļĩāđāļāļđāđāļŠāļĄāļąāļāļĢāļāļ°āđāļāđāļĢāļąāļāļāļēāļĢāļāļīāļāļēāļĢāļāļēāđāļāđāļēāļĢāđāļ§āļĄāļāļēāļāļāļąāļāļāļāļēāļāļēāļĢāļāļĢāļļāļāļĻāļĢāļĩāļŊ.
- Remark: The bank needs to and will have a process for verifying personal information related to the criminal history of applicants before they are considered for employment with the bank..
- Applicants can read the Personal Data Protection Announcement of the Bank's Human Resources Function by typing the link from the image that stated below.
- EN (https://krungsri.com/b/privacynoticeen).
- āļāļđāđāļŠāļĄāļąāļāļĢāļŠāļēāļĄāļēāļĢāļāļāđāļēāļāļāļĢāļ°āļāļēāļĻāļāļēāļĢāļāļļāđāļĄāļāļĢāļāļāļāđāļāļĄāļđāļĨāļŠāđāļ§āļāļāļļāļāļāļĨāļŠāđāļ§āļāļāļēāļāļāļĢāļąāļāļĒāļēāļāļĢāļāļļāļāļāļĨāļāļāļāļāļāļēāļāļēāļĢāđāļāđāđāļāļĒāļāļēāļĢāļāļīāļĄāļāđāļĨāļīāļāļāđāļāļēāļāļĢāļđāļāļ āļēāļāļāļĩāđāļāļĢāļēāļāļāļāđāļēāļāļĨāđāļēāļ.
- āļ āļēāļĐāļēāđāļāļĒ (https://krungsri.com/b/privacynoticeth).
āļāļąāļāļĐāļ°:
ETL, SQL
āļāļĢāļ°āđāļ āļāļāļēāļ:
āļāļēāļāļāļĢāļ°āļāļģ
āđāļāļīāļāđāļāļ·āļāļ:
āļŋ25,000 - āļŋ30,000, āļŠāļēāļĄāļēāļĢāļāļāđāļāļĢāļāļāđāļāđ
- āđāļāđāļēāļĢāļ°āļ§āļąāļāđāļĨāļ°āļāļĢāļ§āļāļŠāļāļāļŠāļāļēāļāļ°āļāļēāļĢāļāļģāļāļēāļāļāļāļ ETL jobs āđāļĨāļ° data pipelines āļāđāļēāļāđ āļāđāļēāļāļĢāļ°āļāļ Monitoring tools.
- āļ§āļīāđāļāļĢāļēāļ°āļŦāđāđāļĨāļ°āđāļāđāđāļāļāļąāļāļŦāļēāļāļĩāđāđāļāļīāļāļāļķāđāļāđāļĄāļ·āđāļ Job āļāļģāļāļēāļāđāļĄāđāļŠāļģāđāļĢāđāļ āļŦāļĢāļ·āļāļĨāđāļēāļāđāļē āđāļĨāļ°āđāļāđāđāļāđāļāļ·āđāļāļāļāđāļ.
- āļāļĢāļ°āļŠāļēāļāļāļēāļāļāļąāļāļāļĩāļĄāļāļĩāđāđāļāļĩāđāļĒāļ§āļāđāļāļ āđāļāļ·āđāļāđāļāđāđāļāļāļąāļāļŦāļēāļāļĩāđāļāļąāļāļāđāļāļ.
- āđāļāļĩāļĒāļāđāļĨāļ°āđāļāđāļāļģāļŠāļąāđāļ SQL āđāļāđāđāļāđāļāļāļĒāđāļēāļāļāļĩāđāļāļ·āđāļāļŠāļ·āļāļāđāļ āļāļĢāļ§āļāļŠāļāļ āđāļĨāļ°āļāļąāļāļāļēāļĢāļāđāļāļĄāļđāļĨ.
- āļāļąāļāļāļģāđāļāļāļŠāļēāļĢ āļŦāļĢāļ·āļāļŠāđāļāļĢāļēāļĒāļāļēāļāļŠāļĢāļļāļāļāļąāļāļŦāļēāđāļĨāļ°āđāļāļ§āļāļēāļāđāļāđāđāļāļāļĩāđāđāļāļīāļāļāļķāđāļāđāļŦāđāļāļąāļāļāļđāđāđāļāļĩāđāļĒāļ§āļāđāļāļ.
- QualificationsāļāļĢāļīāļāļāļēāļāļĢāļĩ āļŠāļēāļāļēāļ§āļīāļāļĒāļēāļāļēāļĢāļāļāļĄāļāļīāļ§āđāļāļāļĢāđ, āđāļāļāđāļāđāļĨāļĒāļĩāļŠāļēāļĢāļŠāļāđāļāļĻ, āļ§āļīāļĻāļ§āļāļĢāļĢāļĄāļĻāļēāļŠāļāļĢāđ āļŦāļĢāļ·āļāļŠāļēāļāļēāļāļĩāđāđāļāļĩāđāļĒāļ§āļāđāļāļ.
- āļāļĢāļ°āļŠāļāļāļēāļĢāļāđ 0 - 2 āļāļĩ.
- Required Skills:Data Platform, Data Warehouse, Data Integration, SQL, ETL Tools,.
- āļāļēāļĢāđāļāđāđāļāļāļąāļāļŦāļēāđāļāļāļēāļ°āļŦāļāđāļē.
- āļĄāļĩāļāļ§āļēāļĄāļĨāļ°āđāļāļĩāļĒāļāļĢāļāļāļāļāļ.
- āļāļģāļāļēāļāļ āļēāļĒāđāļāđāļāļ§āļēāļĄāļāļāļāļąāļāđāļāđāļāļĩ..
āļāļąāļāļĐāļ°:
Statistics, Excel, SQL, English
āļāļĢāļ°āđāļ āļāļāļēāļ:
āļāļēāļāļāļĢāļ°āļāļģ
āđāļāļīāļāđāļāļ·āļāļ:
āļŠāļēāļĄāļēāļĢāļāļāđāļāļĢāļāļāđāļāđ
- Be the partner with PTG s business teams, understand their data needs, and build plans to address those with intelligent data on time.
- To tell a story and provide insights to the users enabled to make better decision by delivering data solution.
- Use statistical tools to identify, analyze, and interpret patterns, trends and insights in complex data sets that could be helpful for the diagnosis and prediction to support PTG s business.
- Responsible for planning and providing final analysis report for PTG s business to understand the data-analysis steps, enabling them to take important decisions based on various facts and trends.
- Encourage and collaborate with multiple internal stakeholders to use statistical / analytical tools in planning and decision-making process.
- Bachelor s degree in computer science, data analytics, statistics, economics or related fields.
- Proficient in data analytics tools and other computer programs; MS Word, Excel, PowerPoint etc.
- Excellent communication skill both in Thai and English.
- Experience in programming and SQL.
- Able to work under pressure and with multiple stakeholders within limited timeline.
- Interested in new technologies / innovations.
- Master's degree in a quantitative discipline.
- At least 1-2 years of experience in a similar role preferably with solid knowledge in food & beverage industry, CRM and retail business.
- Experience working on teams that managed large scale data projects.
- Knowledge with Data Science, Advanced Analytics, Machine learning tools, and methodologies.
- Conceptual, logical and physical data modeling, and data architecture knowledge.
- Visualization expertise in tools like Tableau and Power BI etc..
- PTG Energy Public Company Limited.
- 90 CW Tower, Tower A, 33rd Floor, Ratchadaphisek Road,.
- Huaykwang, Bangkok 10310.
- www.ptgenergy.co.th.
āļāļąāļāļĐāļ°:
Business Development, Statistics, Analytical Thinking
āļāļĢāļ°āđāļ āļāļāļēāļ:
āļāļēāļāļāļĢāļ°āļāļģ
āđāļāļīāļāđāļāļ·āļāļ:
āļŠāļēāļĄāļēāļĢāļāļāđāļāļĢāļāļāđāļāđ
- PTG Energy is looking for a senior data leader to join our Data team, working closely with the CDO and business leaders to drive enterprise business impact through advanced analytics and customer insights.
- This role focuses on applying statistics, data science, and analytical thinking to solve complex business problems-driving growth, customer engagement, and strategic decision-making across PTG s diversified businesses, including Retail, Food & Beverage, Logistics, Services, and Energy.
- Lead high-impact data and analytics initiatives using customer, transaction, and operational data.
- Partner with senior stakeholders to translate advanced analytics into clear, actionable business decisions.
- Contribute to enterprise data & analytics strategy with a strong execution mindset.
- Identify and support new revenue and business opportunities through data-driven insights.
- 7-12 years of experience in data, analytics, or advanced analytics roles (strategy or consulting background is a plus).
- Strong grounding in statistics, data science, and analytical thinking.
- Proven experience delivering measurable business outcomes using data.
- Comfortable influencing senior leaders while remaining hands-on with analytics thinking.
- Backgrounds in Retail, Consumer, Platform, Consulting, or Financial Services are welcome.
- This is a data leadership role with strong business exposure, not a pure strategy or reporting position.
- This role operates as a senior player-coach and works closely with top management.
āļāļąāļāļĐāļ°:
Research, Big Data, Full Stack, English
āļāļĢāļ°āđāļ āļāļāļēāļ:
āļāļēāļāļāļĢāļ°āļāļģ
āđāļāļīāļāđāļāļ·āļāļ:
āļŠāļēāļĄāļēāļĢāļāļāđāļāļĢāļāļāđāļāđ
- Develop customer and business insights to identify business opportunities or resolve business challenges, and provide actionable recommendations to guide business decisions.
- Prepare data from different data sets for building analytical models and delivering customer insights and recommendations to guide business decisions.
- Communicate findings and build buy-in with key stakeholders through data visualizations.
- Deliver pre and post campaign analysis to guide the design and optimization of analytical models and personalized marketing campaigns.
- Design, develop, and deploy analytical models and advanced analytic solutions using statistical techniques and machine learning technologies.
- Work with engineers to implement end-to-end process from model development to testing, validation, deployment, and lifecycle support.
- Research and Development on novel data science and analytics tools and ML/AI technology.
- Background/ Experiences.
- 3+ years of Experience working with customer-centric data at big data-scale and applying machine learning, optimization and statistical methods to large datasets in various industries: financial services, telecom, retails, insurance, e-commerce, or related industries.
- Strong statistical knowledge, superior analytical abilities, and good knowledge of business intelligence solutions.
- Full stack experience in data collection, aggregation, analysis, visualization, productionisation, and monitoring of ML products - MLOps.
- Experience in being able to translate business needs into executable data science and analytics solutions.
- Proven track record in client engagement, relationship building, and project management is PLUS.
- Knowledge & Skills.
- Bachelor's degree or equivalent experience in quantitative field (Statistics, Mathematics, Computer Science, Engineering).
- Deep understanding of mathematics and statistical modeling, predictive modeling, and machine-learning algorithms with hands-on experience with Machine Learning frameworks.
- Excellent Proficiency in programing languages (SQL, R, Python) and Experience with business intelligence solutions (Tableau, PowerBI or Advanced Excel).
- Hand-on experience in data engineering, working with big data technology (Spark/Hadoop) and cloud platforms such as Azure, AWS, or GCP.
- Excellent verbal, written, and interpersonal communication skills (both Thai and English).
āļāļąāļāļĐāļ°:
Excel, Formula, Data Entry
āļāļĢāļ°āđāļ āļāļāļēāļ:
āļāļēāļāļāļĢāļ°āļāļģ
āđāļāļīāļāđāļāļ·āļāļ:
āļŠāļēāļĄāļēāļĢāļāļāđāļāļĢāļāļāđāļāđ
- āļāļąāļāļāļķāļāđāļĨāļ°āļāļąāļāđāļāļāļāđāļāļĄāļđāļĨāļāļāļąāļāļāļēāļāđāļāļĢāļ°āļāļ HR āļŦāļĢāļ·āļāđāļāļĨāđāļāļēāļāļāđāļāļĄāļđāļĨāļāļāļāļŦāļāđāļ§āļĒāļāļēāļ.
- āļāļĢāļ§āļāļŠāļāļāļāļ§āļēāļĄāļāļđāļāļāđāļāļ āļāļ§āļēāļĄāļāļĢāļāļāđāļ§āļ āđāļĨāļ°āļāļ§āļēāļĄāļŠāļāļāļāļĨāđāļāļāļāļāļāļāđāļāļĄāļđāļĨāļāļāļąāļāļāļēāļ.
- āļ§āļīāđāļāļĢāļēāļ°āļŦāđ āļāļąāļāļāļģāļĢāļēāļĒāļāļēāļ āđāļĨāļ°āļŠāļĢāļļāļāļāđāļāļĄāļđāļĨ HR āđāļāļ·āđāļāļāļāđāļ āđāļāļ·āđāļāļŠāļāļąāļāļŠāļāļļāļāļāļēāļĢāļāļģāđāļāļīāļāļāļēāļāļāļāļāļŦāļāđāļ§āļĒāļāļēāļ.
- āļāļąāļāļāļēāđāļĨāļ°āļāļĢāļąāļāļāļĢāļļāļāļĢāļđāļāđāļāļāļāļēāļĢāļāļąāļāļāļēāļĢāļāđāļāļĄāļđāļĨāđāļŦāđāļĄāļĩāļāļĢāļ°āļŠāļīāļāļāļīāļ āļēāļāļĄāļēāļāļāļķāđāļ (āđāļāđāļ āļāļēāļĢāđāļāđ Excel Formula, Macro āļŦāļĢāļ·āļ VBA āđāļāļ·āđāļāļāđāļ§āļĒāļĨāļāļĢāļ°āļĒāļ°āđāļ§āļĨāļēāđāļāļāļēāļĢāļāļģāļāļēāļ).
- āļāļđāđāļĨāļāļēāļĢāļāļąāļāđāļāđāļāļāđāļāļĄāļđāļĨāđāļĨāļ°āđāļāļāļŠāļēāļĢ HR āđāļŦāđāđāļāđāļāļĢāļ°āļāļ āđāļĨāļ°āļŠāļēāļĄāļēāļĢāļāļāđāļāļŦāļēāđāļāđāļāđāļēāļĒ.
- HR Administrationāļāļąāļāļāļģ āļāļđāđāļĨ āđāļĨāļ°āļāļąāļāđāļāđāļāđāļāļāļŠāļēāļĢāļāđāļēāļ HR āļāļĩāđāđāļāļĩāđāļĒāļ§āļāđāļāļ.
- āļŠāļāļąāļāļŠāļāļļāļāļāļēāļāļāļļāļĢāļāļēāļĢāļāđāļēāļ HR āļāļēāļĄāļāļĩāđāđāļāđāļĢāļąāļāļĄāļāļāļŦāļĄāļēāļĒ.
- āļāļĢāļ°āļŠāļēāļāļāļēāļāļāļąāļāļŦāļāđāļ§āļĒāļāļēāļāļāļĩāđāđāļāļĩāđāļĒāļ§āļāđāļāļāđāļāļĩāđāļĒāļ§āļāļąāļāļāđāļāļĄāļđāļĨāļāļāļąāļāļāļēāļ āļāļēāļāđāļāļāļŠāļēāļĢ āđāļĨāļ°āļĢāļēāļĒāļāļēāļāļāđāļēāļ āđ.
- Data Confidentiality & ComplianceāļāļđāđāļĨāļāđāļāļĄāļđāļĨāļāļāļąāļāļāļēāļāļāļēāļĄāļŦāļĨāļąāļāļāļ§āļēāļĄāļĨāļąāļāđāļĨāļ°āļāđāļāļāļģāļŦāļāļāļāļāļāļāļāļāđāļāļĢ.
- āļāļāļīāļāļąāļāļīāļāļēāļāđāļŦāđāļŠāļāļāļāļĨāđāļāļāļāļąāļāļāđāļĒāļāļēāļĒāđāļĨāļ°āļĢāļ°āđāļāļĩāļĒāļāļāđāļēāļāļāđāļāļĄāļđāļĨāļŠāđāļ§āļāļāļļāļāļāļĨ (PDPA)āļāļļāļāļŠāļĄāļāļąāļāļīāļāļđāđāļŠāļĄāļąāļāļĢ.
- Qualifications: āļ§āļļāļāļīāļāļēāļĢāļĻāļķāļāļĐāļē āļāļĢāļ°āļāļēāļĻāļāļĩāļĒāļāļąāļāļĢāļ§āļīāļāļēāļāļĩāļāļāļąāđāļāļŠāļđāļ (āļāļ§āļŠ.) āļŠāļēāļāļē āļāļāļĄāļāļīāļ§āđāļāļāļĢāđāļāļļāļĢāļāļīāļ, āđāļāļāđāļāđāļĨāļĒāļĩāļŠāļēāļĢāļŠāļāđāļāļĻ, āļāļēāļĢāļāļąāļāļāļēāļĢ, āļāļēāļĢāļāļąāļāļāļĩ, āļāļĢāļąāļāļĒāļēāļāļĢāļāļļāļāļāļĨ āļŦāļĢāļ·āļāļŠāļēāļāļēāļāļĩāđāđāļāļĩāđāļĒāļ§āļāđāļāļ.
- āļŦāļēāļāļĄāļĩāļāļĢāļ°āļŠāļāļāļēāļĢāļāđ HR Administration, āļāļēāļāļāđāļāļĄāļđāļĨāļāļāļąāļāļāļēāļ āļŦāļĢāļ·āļ Data Entry āļāļ°āđāļāđāļĢāļąāļāļāļēāļĢāļāļīāļāļēāļĢāļāļēāđāļāđāļāļāļīāđāļĻāļĐ.
- āļŠāļēāļĄāļēāļĢāļāđāļāđ Microsoft Office āđāļāļĒāđāļāļāļēāļ° Excel āđāļāđāđāļāļĢāļ°āļāļąāļāļāļĩ (āđāļāđāļ āļāļēāļĢāļāļąāļāļāļēāļĢāļēāļ āļāļēāļĢāļāļģāļāļ§āļ āļāļēāļĢāđāļāđāļŠāļđāļāļĢ).
- āļĄāļĩāļāļąāļāļĐāļ°āļŦāļĢāļ·āļāļāļĢāļ°āļŠāļāļāļēāļĢāļāđāđāļāļāļēāļĢāđāļāļĩāļĒāļ Excel Macro / VBA āđāļāļ·āđāļāļāđāļ§āļĒāļāļąāļāļāļēāļāļēāļāļāđāļēāļāļāđāļāļĄāļđāļĨāđāļŦāđāļāļģāļāļēāļāđāļāđāļĢāļ§āļāđāļĢāđāļ§āđāļĨāļ°āļĄāļĩāļāļĢāļ°āļŠāļīāļāļāļīāļ āļēāļāļĄāļēāļāļāļķāđāļ āļāļ°āđāļāđāļĢāļąāļāļāļēāļĢāļāļīāļāļēāļĢāļāļēāđāļāđāļāļāļīāđāļĻāļĐ.
- āļŦāļēāļāļĄāļĩāļāļĢāļ°āļŠāļāļāļēāļĢāļāđāļāļēāļĢāđāļāđāļāļēāļ Power BI āđāļāļĢāļ°āļāļąāļāļāļ·āđāļāļāļēāļ (āđāļāđāļ āļāļēāļĢāđāļāļ·āđāļāļĄāļāđāļāļĄāļđāļĨ āļāļēāļĢāļŠāļĢāđāļēāļāļĢāļēāļĒāļāļēāļāļŦāļĢāļ·āļ Dashboard āđāļāļāđāļĄāđāļāļąāļāļāđāļāļ) āļāļ°āđāļāđāļĢāļąāļāļāļēāļĢāļāļīāļāļēāļĢāļāļēāđāļāđāļāļāļīāđāļĻāļĐ.
- āļĄāļĩāļāļąāļāļĐāļ°āļāļēāļĢāļāļąāļāļāļķāļāđāļĨāļ°āļāļąāļāļāļēāļĢāļāđāļāļĄāļđāļĨāļāļĒāđāļēāļāļāļđāļāļāđāļāļ āđāļāđāļāļĢāļ°āļāļ āđāļĨāļ°āļĄāļĩāļāļ§āļēāļĄāļĨāļ°āđāļāļĩāļĒāļāļĢāļāļāļāļāļ.
- āļĄāļĩāļāļ§āļēāļĄāļĢāļąāļāļāļīāļāļāļāļāļŠāļđāļ āđāļĨāļ°āļŠāļēāļĄāļēāļĢāļāļāļģāļāļēāļāļ āļēāļĒāđāļāđāļāļĢāļāļāđāļ§āļĨāļēāļāļĩāđāļāļģāļŦāļāļāđāļāđ.
- āļĄāļĩāļāļąāļāļĐāļ°āļāļēāļĢāļāļĢāļ°āļŠāļēāļāļāļēāļāđāļĨāļ°āļāļēāļĢāļŠāļ·āđāļāļŠāļēāļĢāļāļĩāđāļāļĩ.
- Contact: Samita (Mine) Email: [email protected]
āļāļąāļāļĐāļ°:
Compliance, Legal, Research, English
āļāļĢāļ°āđāļ āļāļāļēāļ:
āļāļēāļāļāļĢāļ°āļāļģ
āđāļāļīāļāđāļāļ·āļāļ:
āļŠāļēāļĄāļēāļĢāļāļāđāļāļĢāļāļāđāļāđ
- Support engagement with relevant government agencies (e.g., energy regulators, local planning and zoning authorities) in coordination with senior GR and project leads.
- Track and summarize relevant legislation, regulations, and industry standards (e.g., data privacy, energy use, cybersecurity, land use) that may impact data centre projects, and support internal advocacy positions on local policies affecting data centre development and operations (e.g., tax incentives, energy supply agreements).
- Ensure all project planning, documentation, and execution are compliant with nationa ...
- Stakeholder Coordination & Communications Support.
- Support day-to-day coordination with government counterparts, regulatory staff, and local stakeholders under the guidance of senior leads.
- Prepare briefing materials, talking points, and presentation decks for meetings with government bodies, highlighting project scope and key benefits.
- Help maintain stakeholder contact lists, meeting records, and follow-ups to ensure continuity and consistency of engagement.
- Research, Documentation & Reporting.
- Manage the submission and tracking of all required governmental documents, ensuring accuracy and timely delivery.
- Prepare project dashboards, status reports, and executive briefings for leadership and stakeholders.
- Document processes, lessons learned, and best practices to support knowledge-sharing across future projects.
- Identify and proactively manage regulatory and political risks that could cause project delays or cost overruns and flag issues early to senior stakeholders.
- Coordinate responses to government inquiries, audits, or compliance issues related to the data centre projects in coordination with Legal, GR, and project teams.
- Track action items and mitigation steps related to regulatory and government-facing issues.
- Strong project management and coordination skills, with experience supporting complex, multi-stakeholder projects; PMP/PRINCE2 certification is a plus but not required.
- 5+ years dedicated professional experience with policy advocacy.
- Good understanding of public policy and regulatory issues relevant to large technology, infrastructure, or data-driven businesses (e.g., data privacy, energy policy, land use, cybersecurity), with the ability to translate policy developments into project implications.
- Excellent Thai and English fluency, both written and spoken as this person would need to work with internal & external stakeholders and conduct research for policy developments in both languages.
- Strong research, analysis, and writing skills, with the ability to synthesize complex regulatory or policy information into clear briefings, dashboards, and executive-ready materials.
- Deep experience working across multiple functions, influencing, and collaborating with others to successfully implement programs and initiatives; history of successful cross-functional team and leadership collaboration.
- Preferred Qualifications.
- Working knowledge of data centre operations and infrastructure, or strong experience in adjacent infrastructure sectors (e.g., energy, telecoms, industrial projects), with the ability to learn technical concepts quickly.
- Outstanding judgment, persuasive and advocacy skills, creativity, and the ability to work in a dynamic, fast-paced, and often uncertain environment.
- Excellent stakeholder management and communication skills.
- Highly organized and detail-oriented, capable of managing multiple workstreams, documentation requirements, and deadlines simultaneously.
- Strong teamwork and communication skills: the individual will need to work with other departments including, but not limited to policy/legal/communications staff to assess needs, alignment and path for collaboration.
- Discipline, strong sense of responsibility and self-drive with a strong sense of ownership and accountability for assigned responsibilities.
āļāļąāļāļĐāļ°:
ETL, Power BI, SQL
āļāļĢāļ°āđāļ āļāļāļēāļ:
āļāļēāļāļāļĢāļ°āļāļģ
āđāļāļīāļāđāļāļ·āļāļ:
āļŠāļēāļĄāļēāļĢāļāļāđāļāļĢāļāļāđāļāđ
- āļĢāļąāļāļāļīāļāļāļāļāļāļēāļĢāļāļāļāđāļāļ Data model āļāļĩāđāļĢāļāļāļĢāļąāļāļāļēāļĢāđāļāđāļāļēāļāļĢāļ°āļĒāļ°āļĒāļēāļ§.
- āļāđāļ§āļĒāļ§āļēāļāđāļāļāļāļēāļĢāļŠāļĢāđāļēāļ Data mart āđāļŦāđāđāļŦāļĄāļēāļ°āļāļąāļ use case āļāđāļēāļāđ.
- āļāļģāļāļēāļāļĢāđāļ§āļĄāļāļąāļāļāļĩāļĄ ETL / Data Engineer āđāļāļ·āđāļāļāļąāļ schema, pipeline āđāļŦāđāļāļĢāļāļāļąāļāļāļ§āļēāļĄāļāđāļāļāļāļēāļĢ.
- āļŠāļ·āđāļāļŠāļēāļĢāđāļĨāļ°āđāļāļĨ requirement āļāļļāļĢāļāļīāļāļĄāļēāđāļāđāļ solution āđāļāļīāļāļāđāļāļĄāļđāļĨāđāļāđāļāļĩ.
- āļāļģāļŦāļāđāļēāļāļĩāđāļ§āļīāđāļāļĢāļēāļ°āļŦāđāļāđāļāļĄāļđāļĨāđāļāļīāļāļĨāļķāļāđāļŦāđāļāļąāļāļŦāļāđāļ§āļĒāļāļļāļĢāļāļīāļ.
- āļāļāļāđāļāļāđāļĨāļ°āļāļąāļāļāļē Dashboard / Report āļāļ Power BI āļāļĒāđāļēāļ advance.
- āļāļķāļāļāđāļāļĄāļđāļĨāļāļēāļ DWH āđāļāļĒāđāļāđ SQL āļāļĩāđāļāļąāļāļāđāļāļ āļĢāļ§āļĄāļāļķāļāļāļēāļĢāļāļģ data wrangling.
- āļĄāļĩāļāļĢāļ°āļŠāļāļāļēāļĢāļāđāļāļģāļāļēāļāđāļāļŠāļēāļĒāļāļēāļ Data (BA āļŦāļĢāļ·āļ SA) 5 āļāļĩ.
- āļĄāļĩāļāļ§āļēāļĄāđāļāļĩāđāļĒāļ§āļāļēāļāļ āļēāļĐāļē SQL āđāļāđāļāļāļĒāđāļēāļāļāļĩ.
- āļĄāļĩāļāļ§āļēāļĄāđāļāļĩāđāļĒāļ§āļāļēāļ Visualization Tool āđāļāđāļ Power BI āđāļĨāļ°āļŦāļĢāļ·āļ Data tools āļāļ·āđāļāđāļāļĩāđāđāļāļĩāđāļĒāļ§āļāļąāļ Data.
- āļĄāļĩāļāļ§āļēāļĄāļĢāļđāđāļāļ§āļēāļĄāđāļāđāļēāđāļāđāļ Data Warehouse Concept, ETL āđāļāđāļāļāļĒāđāļēāļāļāļĩ.
- āļāļąāļāļĐāļ°āļāļēāļĢāļāļāļāđāļāļ Data model, Data Mart.
- āļāļąāļāļĐāļ°āđāļāļāļēāļĢāļ§āļīāđāļāļĢāļēāļ°/āđāļāđāđāļāļāļąāļāļŦāļē.
- Contact Information:-.
- K. Sawarin Tel.
- Office of Human Capital.
- DIGITAL AND TECHNOLOGY SERVICES CO., LTD.
- F.Y.I Center 2525 Rama IV Rd, Khlong Tan, Khlong Toei, Bangkok 10110.
- MRT QSNCC Station Exit 1.
āļāļąāļāļĐāļ°:
Legal, English
āļāļĢāļ°āđāļ āļāļāļēāļ:
āļāļēāļāļāļĢāļ°āļāļģ
āđāļāļīāļāđāļāļ·āļāļ:
āļŠāļēāļĄāļēāļĢāļāļāđāļāļĢāļāļāđāļāđ
- Partner with your assigned business unit(s) and ensure a deep understanding of business strategy and implement high-quality HR practices within the team.
- Consult with line management and provide HR guidance when appropriate, including talent development, performance management, and employee relations.
- Proactively assess team and employee development needs, make recommendations, and implement appropriate solutions.
- Manage employee disciplinary issues and provide advice to business leaders on ways to manage each case.
- Integrate and partner with HR colleagues in the Learning & Development, Compensation & Benefits, HR operations, and other HR teams to implement solutions.
- Drive employee engagement agenda for the employees in your business unit(s).
- Be the ambassador of TikTok organizational culture.
- Plan and implement organizational cultural activities.
- Bachelor s degree or above.
- 3+ years of Human Resources Business Partner in a high-growth company.
- Current or prior experience in technology, internet, or digital platform organizations, supporting fast-growing, large-scale operations in high-ambiguity legal or regulatory environments.
- Proven experience owning end-to-end HR support for large employee populations (100+ employees), including leading or acting as a key contributor to enterprise-level performance management processes (e.g. performance reviews, calibration, PPRA-type forums) across multiple markets, as well as complex organizational and workforce changes at scale.
- Excellent written and spoken business English, used as the primary working language in regional stakeholder and decision-making forums.
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