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Experience:
3 years required
Skills:
SQL, Excel, Tableau
Job type:
Full-time
Salary:
negotiable
- 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.
Experience:
2 years required
Skills:
Sales, Data Analysis, Project Management
Job type:
Full-time
Salary:
negotiable
- Working closely with SFE Manager to develop segmentation and targeting based on sources of data across all stakeholders.
- Deploying call target HCPs to sale teams every cycle.
- Incentive and KPI SchemeResponsibility and accountability for incentive calculation.
- Monitoring and analyzing of KPI and incentive performance to motivate and create competition environment to sale team.
- Delivering report for all stakeholder.
- Sales Force Automation (Veeva)Drive systems and tools simplification.
- Training sale team and all stakeholder in VEEVA.
- Creating and develop dashboard in VEEVA and SFDC.
- Supporting and monitoring all activity in VEEVA.
- Reporting and Data analysisDevelop data analysis, sales tracking data and MSF activities tracking to support recommendations to the sales.
- Deliver reports to all stakeholders (Medical Sales TEAM and cross-functional) on time.
- OtherCollaborative nature and good ability to work in teams. High confidence in presenting to and working closely with senior management colleagues.
- Project management of specific initiatives and ad-hoc analysis in Sales Force Effectiveness matter.
- The experience we're looking for.
- 2-5 years experiences in SFE, Commercial Excellence, or Sales Ops within Pharma/MedTech.
- System Expertise.
- Hands-on experience with Veeva CRM (Vault/CRM) is mandatory.
- Channel Knowledge.
- Will be a plus for having the knowledge of the Hospital Channel (Formularies, Tenders, HCP Segmentation).
- Technical Skills.
- Intermediate to Advance Excel (Pivot, PowerQuery); experience with BI tools (Tableau/Power BI) is a plus.
- Communication.
- Ability to translate complex data into simple "Next Steps" for Sales Directors and Reps.
- The skills for success.
- Place your text here
- What we offer.
- With inclusion at the heart of everything we do, working alongside our four global Employee Resource Groups, we support our people at every step of their career journey, helping them to succeed in their own individual way. We invest in the wellbeing of our people through parental benefits, an Employee Assistance Program to promote mental health, and life insurance for all employees globally. We have a range of other benefits in line with the local market. Through our global share plans we offer the opportunity to save and share in Reckitt's potential future successes. For eligible roles, we also offer short-term incentives to recognise, appreciate and reward your work for delivering outstanding results. You will be rewarded in line with Reckitt's pay for performance philosophy.
- Equality.
- We recognise that in real life, great people don't always 'tick all the boxes'. That's why we hire for potential as well as experience. Even if you don't meet every point on the job description, if this role and our company feels like a good fit for you, we still want to hear from you. All qualified applicants will receive consideration for employment without regard to age, disability or medical condition; colour, ethnicity, race, citizenship, and national origin; religion, faith; pregnancy, family status and caring responsibilities; sexual orientation; sex, gender identity, gender expression, and transgender identity; protected veteran status; size or any other basis protected by appropriate law.
Skills:
Statistics, Excel, SQL, English
Job type:
Full-time
Salary:
negotiable
- 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.
Skills:
Tableau, English
Job type:
Full-time
Salary:
negotiable
- Speech, Business, and/or Data Analytics background desired (3+ years).
- Degree in Data Science, Business Analytics, Computer Information Systems, Computer Science or Linguistics desired; or equivalent experience.
- Experience in preparing and presenting written project status reports and executive briefings.
- Experience in speech analytics/speech recognition.
- Experience with Nexidia, Verint, CallMiner Eureka, or other Interaction Analytics platforms preferred.
- Experience with PowerBi, Tableau tools preferred.
- Experience in Sales programs preferred.
- strong English, Thai speaking, reading and writing skills.
- Responsibilities:Construct searches and reports designed for automated analysis and topic identification in recorded conversations from a contact center environment.
- Make recommendations and define strategies that solve critical business problems; through both established industry best practices and creative innovations.
- Own on-time, accurate, quality analysis and reports/visualizations in tight alignment with specified project objectives.
- Package, deliver, and at times present key findings and briefings.
- Collaborate & communicate effectively with business sponsors, executives and stakeholders.
- Ability to build and maintain strong client relationships.
- Contribute to business value knowledge base and accurate support hand-offs.
- Utilize best practice speech analytics methodologies.
- Individual must be a confident team player who can work well with others, mentor new team members and provide (and receive) constructive feedback.
- Flexibility and ability to adjust to changing priorities in a fast-paced environment is a must.
- Strong analytical and problem-solving skills. The ideal candidate will thrive on change and possess an inquisitive mind.
- Excellent communication skills and a positive attitude are required.
Skills:
English
Job type:
Full-time
Salary:
negotiable
- Ensure strategic alignment, resource optimization, and the delivery of high-value organizational objectives.
- Lead the identification and management of cross-project dependencies to prevent scope overlap.
- Ensure a seamless end-to-end user experience across the entire portfolio.
- Standardizing documentation templates and process modeling methodologies across the enterprise.
- Ensuring high user adoption and long-term proficiency for end-to-end process transformations.
- Proactively identify project roadblocks and facilitate communication to resolve issues, ensuring transparent and efficient solution delivery.
- Perform root cause analysis to ensure long-term stability and process optimization.
- Bachelor s degree in Business Administration, Information Technology, Computer Science, or a related field.
- At least 3-5 experience in Business Analysis, Requirements Gathering, or related roles within cross-functional project environments.
- Strong ability to translate complex business requirements into clear Business Requirement Documents (BRD) and Functional/Technical Specifications.
- Solid understanding of end-to-end business processes, system integration, and functional architecture design.
- Hands-on experience in User Acceptance Testing (UAT), including test case creation, execution, and sign-off management.
- Experience working closely with Project Managers and development teams throughout the full project lifecycle.
- Strong analytical, problem-solving, and stakeholder management skills.
- Excellent communication skills in English, both written and verbal.
Skills:
Excel, Tableau
Job type:
Full-time
Salary:
negotiable
- 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/.
Skills:
Product Development
Job type:
Full-time
Salary:
negotiable
- Gather and analyze business requirements from stakeholders, translating them into structured documentation for product and technology teams.
- Collaborate closely with business and technology squads to ensure solutions align with defined objectives and user needs.
- Prepare clear and comprehensive process flows, functional specifications, and supporting documentation throughout the project lifecycle.
- Support user acceptance testing by defining test scenarios and validating that delivered solutions meet business requirements.
- Monitor and track project progress, flagging risks or gaps to relevant stakeholders in a timely manner.
- Contribute to continuous improvement of business analysis practices across the team.
- If you meet below qualifications and are ready to take on a challenging role, we encourage you to apply.
- Experience in business analysis or a related field.
- Strong ability to gather, document, and communicate requirements across both business and technology stakeholders.
- Proficiency in process mapping, functional specification writing, and requirements management.
- Analytical mindset with structured problem-solving and attention to detail.
- Experience working in agile or squad-based delivery environments.
- Exposure to financial services, fintech, or AI-driven product development is an advantage.
- About Us.
- SCBX is the mothership of the financial technology business group comprising Siam Commercial Bank, SCB 10X Co., Ltd., Card X Co., Ltd., InnovestX Securities Co., Ltd., and other companies. SCBX drives and powers the development and execution of strategic initiatives, with a particular emphasis on financial enterprises and digital technologies. This includes pursuing new business opportunities, M&A, strategic investments, partnerships, and divestitures. It captures some of the biggest growth opportunities with superior returns, by adapting to consumers' changing behaviors and demands in a timely manner. These industries will improve the overall quality of life while serving a greater purpose. The company conducts business with flexibility and prudence in governance and risk management and has the potential to compete equally in global competitions.
Job type:
Full-time
Salary:
negotiable
- āļŠāļąāļāļāļąāļ: āļāļĩāļĄ Business Risk and Macro Research āļŠāļēāļĒāļāļēāļ Global Business Development and Strategy.
- āļ§āļīāđāļāļĢāļēāļ°āļŦāđ āļ§āļīāļāļąāļĒāļ āļēāļ§āļ°āļāļļāļĢāļāļīāļāļāđāļēāļāļāļēāļĢāđāļāļĐāļāļĢ āļāļļāļāļŠāļēāļŦāļāļĢāļĢāļĄāļāļēāļĢāđāļāļĐāļāļĢ āļāļļāļāļŠāļēāļŦāļāļĢāļĢāļĄāļāļēāļĢāļāļĨāļīāļ āļāļļāļĢāļāļīāļāļāļĢāļīāļāļēāļĢāđāļĨāļ°āļāļļāļĢāļāļīāļāļāļēāļĢāđāļāļīāļ āđāļāļ·āđāļāļāļĢāļ°āļāļāļāļāļēāļĢāļāļīāļāļēāļĢāļāļēāļŠāļīāļāđāļāļ·āđāļ āļĢāļ§āļĄāļāļķāļāļŠāļģāļĢāļ§āļāļāļ§āļēāļĄāļāļķāļāļāļāđāļāļāļāļāļāļđāđāđāļāđāļāļĢāļīāļāļēāļĢāđāļāļāđāļēāļāļāđāļēāļāđ āđāļŦāđāļāļąāļāļāđāļāļ āļēāļ§āļ°āļāļēāļĢāđāļāļĨāļĩāđāļĒāļāđāļāļĨāļ āļāļĨāļāļāļāļāđāļāļĒāđāļāļĢāđāļāļāļ§āļīāļāļąāļĒāđāļĨāļ°āļāđāļāļĄāļđāļĨāđāļĻāļĢāļĐāļāļāļīāļāđāļĨāļ°āļāļļāļĢāļāļīāļ āļĢāļ§āļĄāļāļķāļāļĢāļēāļĒāļāļēāļāļāļĢāļ°āļāļģāļāļĩāđāļĨāļ°āļĢāļ°āļāļāļāļēāļāļāđāļāļĄāļđāļĨāļāļīāļāļīāļāļļāļāļĨāļĨ - ENLITE.
- āļĻāļķāļāļĐāļē āļ§āļīāđāļāļĢāļēāļ°āļŦāđ āļ§āļīāļāļąāļĒāļ āļēāļ§āļ°āļāļļāļĢāļāļīāļāļāđāļēāļāļāļēāļĢāđāļāļĐāļāļĢ āļāļļāļāļŠāļēāļŦāļāļĢāļĢāļĄāļāļēāļĢāđāļāļĐāļāļĢ āļāļļāļāļŠāļēāļŦāļāļĢāļĢāļĄāļāļēāļĢāļāļĨāļīāļ āđāļĨāļ° ...
- 1 āļāļąāļāļāļąāļāļāļąāļāļāļ§āļēāļĄāđāļŠāļĩāđāļĒāļāļāļļāļĢāļāļīāļāđāļĨāļ°āļāļļāļāļŠāļēāļŦāļāļĢāļĢāļĄāļāļĢāļ°āđāļ āļāļāđāļēāļ āđ (āđāļāđāļ Industry Rating, Industry Direction)
- 2 āļāļĢāļ°āđāļĄāļīāļāļāļąāļāļāļąāļĒāđāļŠāļĩāđāļĒāļ āđāļĨāļ°āļāļąāļāļāļąāļĒāļŠāļāļąāļāļŠāļāļļāļ
- 3 āļāļąāļāļāļģ Industry Standard Ratio āđāļāļ·āđāļāļŠāļāļąāļāļŠāļāļļāļāļāļēāļĢāļ§āļīāđāļāļĢāļēāļ°āļŦāđāļāļēāļāļ°āļāļēāļāļāļēāļĢāđāļāļīāļ
- 4 āļ§āļīāđāļāļĢāļēāļ°āļŦāđāđāļāļ§āđāļāđāļĄāļāļļāļĢāļāļīāļ āđāļāļ·āđāļāļāļģāļŦāļāļāđāļāļ§āļāļēāļāļāļēāļĢāļāļĢāļīāļŦāļēāļĢāļŠāļīāļāđāļāļ·āđāļ
- 5 āļ§āļīāđāļāļĢāļēāļ°āļŦāđāļāļĨāļāļĢāļ°āļāļ āđāļĨāļ°āļāļ§āļēāļĄāđāļāļ·āđāļāļĄāđāļĒāļāđāļ Supply Chain āļāļāļāļāļĨāļļāđāļĄāļāļļāļĢāļāļīāļāļāļĩāđāļŠāļģāļāļąāļ
- 6 āļāļĢāļ°āļŠāļēāļāļāļēāļ āđāļĨāļ°āđāļĨāļāđāļāļĨāļĩāđāļĒāļāļāđāļāļĄāļđāļĨāļāļąāļāļāļĨāļļāđāļĄāļāļĨāļąāđāļāļāļĢāļāļāļŠāļīāļāđāļāļ·āđāļ āđāļĨāļ°āļŦāļāđāļ§āļĒāļāļēāļāļŠāļīāļāđāļāļ·āđāļ
- 7 āļāļąāļāļĢāļ°āļāļ āđāļĨāļ°āļāļąāļāļāļēāļāļēāļāļāđāļāļĄāļđāļĨ (Data Center)
- 8 āļāļąāļāļāļĢāļāļāļĢāļēāļĒāļāļ·āđāļāļāļđāđāļāļĢāļ°āļāļāļāļāļēāļĢāļāļĩāđāļĄāļĩāļĻāļąāļāļĒāļ āļēāļāļāļēāļĄāļŦāļĨāļąāļāđāļāļāļāđāļāļĩāđāļāļģāļŦāļāļ āđāļāļ·āđāļāļāļģāļāļ§āļĒāļāļ§āļēāļĄāļŠāļ°āļāļ§āļāđāļāļāļēāļĢāļāļģāļāļēāļĢāļāļĨāļēāļāļŠāļīāļāđāļāļ·āđāļāđāļŦāļĄāđāđāļŦāđāļāļąāļāļŦāļāđāļ§āļĒāļāļēāļāļŠāļīāļāđāļāļ·āđāļ.
- āļāļąāļāļāļģ Key Economic Indicators Forecasting - āđāļāđāļāļāļēāļĢāļāļĒāļēāļāļĢāļāđāļāļēāļĢāđāļāļīāļāđāļāļāļāļāļāļĨāļīāļāļ āļąāļāļāđāļĄāļ§āļĨāļĢāļ§āļĄāļ āļēāļĒāđāļāļāļĢāļ°āđāļāļĻ (GDP) āđāļĨāļ°āđāļāļĢāļ·āđāļāļāļāļĩāđāļāļĩāđāļŠāļģāļāļąāļāļāļ·āđāļ āļāļēāļāļī āļāļąāļāļĢāļēāļāļāļāđāļāļĩāđāļĒ āļāļąāļāļĢāļēāđāļĨāļāđāļāļĨāļĩāđāļĒāļ āđāļāļ·āđāļāđāļāđāļāļāđāļāļĄāļđāļĨāļāļĢāļ°āļāļāļāļāļēāļĢāļāļąāļāļāļģāđāļāļāļāļēāļĢāđāļāļīāļāļāļāļāļāļāļēāļāļēāļĢāļāļēāļĄāđāļāļāļāđ IFRS9 āđāļĨāļ°āđāļāđāļāļāļąāļāļāļąāļĒāđāļāļāļēāļĢāļāļĢāļ°āđāļĄāļīāļāļāļ§āļēāļĄāđāļāļĩāļĒāļāļāļāļāļāļāđāļāļīāļāļāļāļāļāļļāļ (ICAAP) āđāļĨāļ° Stress Testing āđāļ Credit Portfolio āļāļāļāļāļāļēāļāļēāļĢ.
- āļāļąāļāļāļģāļāļāļāļ§āļēāļĄāļ§āļīāļāļąāļĒāđāļāļīāļāļĨāļķāļ - āđāļāđāļāļāļēāļĢāđāļāļĒāđāļāļĢāđāļāļāļāđāļāļ§āļēāļĄāļĢāļđāđāļāđāļēāļāļāļļāļĢāļāļīāļāđāļĨāļ°āļāļļāļāļŠāļēāļŦāļāļĢāļĢāļĄāđāļāļīāļāļĨāļķāļ āđāļŦāđāđāļāđāļĨāļđāļāļāđāļē āđāļĨāļ°āļŠāļēāļāļēāļĢāļāļāļ āđāļāļ·āđāļāļŠāļĢāđāļēāļāļāļ§āļēāļĄāļāļķāļāļāļāđāļāđāļĨāļ°āļ āļēāļāļĨāļąāļāļĐāļāđāļāļĩāđāļāļĩāļāđāļāļāļāļēāļāļēāļĢ.
- āļāļąāļāļāļģāļāļāļ§āļīāđāļāļĢāļēāļ°āļŦāđāļāļąāļāđāļŦāļāļļāļāļēāļĢāļāđ - āđāļāđāļāļāļēāļĢāļāļīāļāļāļēāļĄāļāļ§āļēāļĄāđāļāļĨāļ·āđāļāļāđāļŦāļ§āļāļāļāļŠāļ āļēāļ§āļ°āđāļ§āļāļĨāđāļāļĄāļāļēāļāļāļļāļĢāļāļīāļ āđāļāļ·āđāļāļĢāļēāļĒāļāļēāļāļ āļēāļ§āļ°āļāļļāļĢāļāļīāļāļāļēāļĄāļŠāļāļēāļāļāļēāļĢāļāđāļāļĩāđāđāļāļīāļāļāļķāđāļāđāļāļāļāļ°āļāļąāđāļ āļŦāļĢāļ·āļāļŠāļēāļĄāļēāļĢāļāđāļāđāļāđāļāļ·āļāļāļāļ§āļēāļĄāđāļŠāļĩāđāļĒāļāđāļĨāļ°āļāļĨāļāļĢāļ°āļāļāļāļĩāđāļāļēāļāđāļāļīāļāļāļķāđāļāļāļąāļāļŠāļīāļāđāļāļ·āđāļāļāļāļāļāļāļēāļāļēāļĢāđāļāđāļāļĒāđāļēāļāļāļąāļāļāđāļ§āļāļāļĩ āđāļāļĒāđāļāļĒāđāļāļĢāđāļāđāļēāļāļāđāļāļāļāļēāļāļāļāļāļāļāļēāļāļēāļĢāļŠāļđāđāļŠāļēāļāļēāļĢāļāļ°āļŦāļĢāļ·āļāđāļāļāļēāļ°āļ āļēāļĒāđāļāļāļāļēāļāļēāļĢ.
- āļŠāļāļąāļāļŠāļāļļāļāļāđāļāļĄāļđāļĨ-āļāļāļ§āļīāđāļāļĢāļēāļ°āļŦāđāđāļāđāļāļĢāļĢāļĄāļāļēāļĢāļāļāļēāļāļēāļĢ / āļāļđāđāļāļĢāļīāļŦāļēāļĢāļĢāļ°āļāļąāļāļŠāļđāļ / āļāļāļ°āļāļĢāļĢāļĄāļāļēāļĢāļāđāļēāļāđ.
- āļāļāļāļāļāļĨāļđāļāļāđāļēāđāļĨāļ°āļāļļāļāļāļĨāļ āļēāļĒāļāļāļāđāļāļ·āđāļāđāļĨāļāđāļāļĨāļĩāđāļĒāļāļĄāļļāļĄāļĄāļāļ āđāļĨāļ°āļāđāļāļĄāļđāļĨ.
- āļŠāļģāļĢāļ§āļāļāļ§āļēāļĄāļāļķāļāļāļāđāļāļāļāļāļāļđāđāđāļāđāļāļĢāļīāļāļēāļĢāļŦāļāđāļ§āļĒāļāļēāļāļŠāļģāļāļąāļāļāļēāļāđāļŦāļāđ āđāļāļ·āđāļāļŠāļāļąāļāļŠāļāļļāļāđāļāļĢāļāļāļēāļĢ QA. āđāļĨāļ° āđāļāļĢāļāļāļēāļĢ CG.
- āļŠāļģāļĢāļ§āļāļāļ§āļēāļĄāļāļīāļāđāļŦāđāļāļāļāļāļāļāļąāļāļāļēāļāđāļĨāļ°āļŦāļāđāļ§āļĒāļāļēāļ āđāļāļ·āđāļāļāļąāļāļāļģāļāļąāļāļāļĩāļāđāļēāļ āđ āļŠāļģāļŦāļĢāļąāļāļ§āļąāļ KPI āļāļāļāļŠāļēāļĒāļāļēāļ/āļŦāļāđāļ§āļĒāļāļēāļ.
- āļāļģāđāļāļīāļāļāļēāļĢāļ§āđāļēāļāđāļēāļāļŦāļāđāļ§āļĒāļāļēāļāļ āļēāļĒāļāļāļāļāļģāđāļāļīāļāļāļēāļĢāļŠāļģāļĢāļ§āļāļāļ§āļēāļĄāļāļķāļāļāļāđāļāđāļĨāļ°āļŠāļģāļĢāļ§āļāļ āļēāļāļĨāļąāļāļĐāļāđāļāļāļāđāļāļĢ āļāļĄāļ. āļāļāļēāļāļēāļĢāļāļĢāļļāļāđāļāļĒ.
- āļŠāļģāļĢāļ§āļāļāļ§āļēāļĄāļāļķāļāļāļāđāļāļāļāļāļāļđāđāđāļāđāļāļĢāļīāļāļēāļĢāđāļŦāđāļāļąāļāļāđāļāļ āļēāļ§āļ°āļāļēāļĢāđāļāļĨāļĩāđāļĒāļāđāļāļĨāļ.
- āđāļŦāđāļāļģāļāļĢāļķāļāļĐāļē āđāļĨāļ°āđāļŦāđāļāļĢāļīāļāļēāļĢāļāđāļēāļāļŠāļģāļĢāļ§āļāđāļāđāļŦāļāđāļ§āļĒāļāļēāļāļāđāļēāļ āđ āļāļāļāļāļāļēāļāļēāļĢ.
- āļāļģāđāļāļīāļāļāļēāļĢāđāļāļĒāđāļāļĢāđāļāļāļ§āļīāļāļąāļĒāđāļĨāļ°āļāđāļāļĄāļđāļĨāđāļĻāļĢāļĐāļāļāļīāļāđāļĨāļ°āļāļļāļĢāļāļīāļ.
- āļāļąāļāļāļģāļĢāļēāļĒāļāļēāļāļāļĢāļ°āļāļģāļāļĩ (āđāļāļ 56-1 One Report) āļāļāļāļāļāļēāļāļēāļĢ.
- āļāļđāđāļĨāļĢāļ°āļāļāļāļēāļāļāđāļāļĄāļđāļĨāļāļīāļāļīāļāļļāļāļĨāļĨ - ENLITE (System Administrator).
- āļŠāļāļąāļāļŠāļāļļāļāļāļĩāļĄ BMR.
- āļāļāļīāļāļąāļāļīāļāļēāļāļāđāļēāļāļāļēāļĢāļāļāļąāļāļāļēāļ āļāļāļāļĢāļ°āļĄāļēāļ āļāđāļēāđāļāđāļāđāļēāļĒ āļŠāļēāļĢāļāļĢāļĢāļ āļāļĢāļ°āļŠāļēāļāļāļēāļāļāđāļēāļāļāļēāļĢāļāļķāļāļāļāļĢāļĄāđāļĨāļ°āļāļąāļāļāļēāļāļāļąāļāļāļēāļ āļĢāļ§āļĄāļāļąāđāļāļĢāļ§āļāļĢāļ§āļĄāđāļāļāļāļļāļĢāļāļīāļāļāļāļāļŦāļāđāļ§āļĒāļāļēāļ.
- āļāļąāļāļāļģāļāļđāđāļĄāļ·āļāļĄāļēāļāļĢāļāļēāļāļāļēāļĢāļāļāļīāļāļąāļāļīāļāļēāļ (SOP) āđāļĨāļ°āļāļđāđāļĄāļ·āļāļāļēāļĢāļāļāļīāļāļąāļāļīāļāļēāļ (User Manual) āļāļāļāļŦāļāđāļ§āļĒāļāļēāļ.
- āļāļāļīāļāļąāļāļīāļŦāļāđāļēāļāļĩāđāļāļ·āđāļāđāļāļāļēāļĄāļāļĩāđāđāļāđāļĢāļąāļāļĄāļāļāļŦāļĄāļēāļĒ..
- āļāđāļēāļāđāļāđāļāđāļēāļāđāļĨāļ°āļĻāļķāļāļĐāļēāļāđāļĒāļāļēāļĒāļāļ§āļēāļĄāđāļāđāļāļŠāđāļ§āļāļāļąāļ§āļāļāļāļāļāļēāļāļēāļĢāļāļĢāļļāļāđāļāļĒ āļāļģāļāļąāļ (āļĄāļŦāļēāļāļ) āļāļĩāđ https://krungthai.com/th/content/privacy-policy āļāļąāđāļāļāļĩāđ āļāļāļēāļāļēāļĢāđāļĄāđāļĄāļĩāđāļāļāļāļēāļŦāļĢāļ·āļāļāļ§āļēāļĄāļāļģāđāļāđāļāđāļāđ āļāļĩāđāļāļ°āļāļĢāļ°āļĄāļ§āļĨāļāļĨāļāđāļāļĄāļđāļĨāļŠāđāļ§āļāļāļļāļāļāļĨāļāļĩāđāļĄāļĩāļāļ§āļēāļĄāļāđāļāļāđāļŦāļ§ āļĢāļ§āļĄāļāļķāļāļāđāļāļĄāļđāļĨāļāļĩāđāđāļāļĩāđāļĒāļ§āļāđāļāļāļĻāļēāļŠāļāļēāđāļĨāļ°/āļŦāļĢāļ·āļāļŦāļĄāļđāđāđāļĨāļŦāļīāļ āļāļķāđāļāļāļēāļāļāļĢāļēāļāļāļāļĒāļđāđāđāļāļŠāļģāđāļāļēāļāļąāļāļĢāļāļĢāļ°āļāļģāļāļąāļ§āļāļĢāļ°āļāļēāļāļāļāļāļāļāđāļēāļāđāļāđāļāļĒāđāļēāļāđāļ āļāļąāļāļāļąāđāļ āļāļĢāļļāļāļēāļāļĒāđāļēāļāļąāļāđāļŦāļĨāļāđāļāļāļŠāļēāļĢāđāļāđ āļĢāļ§āļĄāļāļķāļāļŠāļģāđāļāļēāļāļąāļāļĢāļāļĢāļ°āļāļģāļāļąāļ§āļāļĢāļ°āļāļēāļāļ āļŦāļĢāļ·āļāļāļĢāļāļāļāđāļāļĄāļđāļĨāļŠāđāļ§āļāļāļļāļāļāļĨāļāļĩāđāļĄāļĩāļāļ§āļēāļĄāļāđāļāļāđāļŦāļ§āļŦāļĢāļ·āļāļāđāļāļĄāļđāļĨāļāļ·āđāļāđāļ āļāļķāđāļāđāļĄāđāđāļāļĩāđāļĒāļ§āļāđāļāļāļŦāļĢāļ·āļāđāļĄāđāļāļģāđāļāđāļāļŠāļģāļŦāļĢāļąāļāļ§āļąāļāļāļļāļāļĢāļ°āļŠāļāļāđāđāļāļāļēāļĢāļŠāļĄāļąāļāļĢāļāļēāļāđāļ§āđāļāļāđāļ§āđāļāđāļāļāđ āļāļāļāļāļēāļāļāļĩāđ āļāļĢāļļāļāļēāļāļģāđāļāļīāļāļāļēāļĢāđāļŦāđāđāļāđāđāļāļ§āđāļēāđāļāđāļāļģāđāļāļīāļāļāļēāļĢāļĨāļāļāđāļāļĄāļđāļĨāļŠāđāļ§āļāļāļļāļāļāļĨāļāļĩāđāļĄāļĩāļāļ§āļēāļĄāļāđāļāļāđāļŦāļ§ (āļāđāļēāļĄāļĩ) āļāļāļāļāļēāļāđāļĢāļāļđāđāļĄāđāđāļĨāļ°āđāļāļāļŠāļēāļĢāļāļ·āđāļāđāļāļāđāļāļāļāļĩāđāļāļ°āļāļąāļāđāļŦāļĨāļāđāļāļāļŠāļēāļĢāļāļąāļāļāļĨāđāļēāļ§āđāļ§āđāļāļāđāļ§āđāļāđāļāļāđāđāļĨāđāļ§āļāđāļ§āļĒ āļāļąāđāļāļāļĩāđ āļāļāļēāļāļēāļĢāļĄāļĩāļāļ§āļēāļĄāļāļģāđāļāđāļāļāđāļāļāđāļāđāļāļĢāļ§āļāļĢāļ§āļĄāļāđāļāļĄāļđāļĨāļŠāđāļ§āļāļāļļāļāļāļĨāđāļāļĩāđāļĒāļ§āļāļąāļāļāļĢāļ°āļ§āļąāļāļīāļāļēāļāļāļēāļāļĢāļĢāļĄāļāļāļāļāđāļēāļāđāļāļ·āđāļāļāļĢāļĢāļĨāļļāļ§āļąāļāļāļļāļāļĢāļ°āļŠāļāļāđāđāļāļāļēāļĢāļāļīāļāļēāļĢāļāļēāļĢāļąāļāļāļļāļāļāļĨāđāļāđāļēāļāļģāļāļēāļ āļŦāļĢāļ·āļāļāļēāļĢāļāļĢāļ§āļāļŠāļāļāļāļļāļāļŠāļĄāļāļąāļāļī āļĨāļąāļāļĐāļāļ°āļāđāļāļāļŦāđāļēāļĄ āļŦāļĢāļ·āļāļāļīāļāļēāļĢāļāļēāļāļ§āļēāļĄāđāļŦāļĄāļēāļ°āļŠāļĄāļāļāļāļāļļāļāļāļĨāļāļĩāđāļāļ°āđāļŦāđāļāļģāļĢāļāļāļģāđāļŦāļāđāļ āļāļķāđāļāļāļēāļĢāđāļŦāđāļāļ§āļēāļĄāļĒāļīāļāļĒāļāļĄāđāļāļ·āđāļāđāļāđāļāļĢāļ§āļāļĢāļ§āļĄ āđāļāđ āļŦāļĢāļ·āļāđāļāļīāļāđāļāļĒāļāđāļāļĄāļđāļĨāļŠāđāļ§āļāļāļļāļāļāļĨāđāļāļĩāđāļĒāļ§āļāļąāļāļāļĢāļ°āļ§āļąāļāļīāļāļēāļāļāļēāļāļĢāļĢāļĄāļāļāļāļāđāļēāļāļĄāļĩāļāļ§āļēāļĄāļāļģāđāļāđāļāļŠāļģāļŦāļĢāļąāļāļāļēāļĢāđāļāđāļēāļāļģāļŠāļąāļāļāļēāđāļĨāļ°āļāļēāļĢāđāļāđāļĢāļąāļāļāļēāļĢāļāļīāļāļēāļĢāļāļēāļāļēāļĄāļ§āļąāļāļāļļāļāļĢāļ°āļŠāļāļāđāļāļąāļāļāļĨāđāļēāļ§āļāđāļēāļāļāđāļ āđāļāļāļĢāļāļĩāļāļĩāđāļāđāļēāļāđāļĄāđāđāļŦāđāļāļ§āļēāļĄāļĒāļīāļāļĒāļāļĄāđāļāļāļēāļĢāđāļāđāļāļĢāļ§āļāļĢāļ§āļĄ āđāļāđ āļŦāļĢāļ·āļāđāļāļīāļāđāļāļĒāļāđāļāļĄāļđāļĨāļŠāđāļ§āļāļāļļāļāļāļĨāđāļāļĩāđāļĒāļ§āļāļąāļāļāļĢāļ°āļ§āļąāļāļīāļāļēāļāļāļēāļāļĢāļĢāļĄ āļŦāļĢāļ·āļāļĄāļĩāļāļēāļĢāļāļāļāļāļ§āļēāļĄāļĒāļīāļāļĒāļāļĄāđāļāļ āļēāļĒāļŦāļĨāļąāļ āļāļāļēāļāļēāļĢāļāļēāļāđāļĄāđāļŠāļēāļĄāļēāļĢāļāļāļģāđāļāļīāļāļāļēāļĢāđāļāļ·āđāļāļāļĢāļĢāļĨāļļāļ§āļąāļāļāļļāļāļĢāļ°āļŠāļāļāđāļāļąāļāļāļĨāđāļēāļ§āļāđāļēāļāļāđāļāđāļāđ āđāļĨāļ°āļāļēāļ āļāļģāđāļŦāđāļāđāļēāļāļŠāļđāļāđāļŠāļĩāļĒāđāļāļāļēāļŠāđāļāļāļēāļĢāđāļāđāļĢāļąāļāļāļēāļĢāļāļīāļāļēāļĢāļāļēāļĢāļąāļāđāļāđāļēāļāļģāļāļēāļāļāļąāļāļāļāļēāļāļēāļĢ.
Skills:
Statistics, Excel, SQL, English
Job type:
Full-time
Salary:
negotiable
- 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.
Skills:
Research, Big Data, Full Stack, English
Job type:
Full-time
Salary:
negotiable
- 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).
Skills:
SAS, SQL, Tableau
Job type:
Full-time
Salary:
negotiable
- 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).
Skills:
Automation, Power BI, Tableau
Job type:
Full-time
Salary:
negotiable
- Review major claims for fraud indicators, conduct investigations, and gather evidence for resolution including engaging key stakeholders to manage red flag and termination dialogue.
- Use analytics tools to identify patterns, anomalies, and emerging fraud risks.
- Design and maintain dashboards, generate accurate and insightful reports on fraud, trends, case outcomes, and KPIs for leadership.
- Identify inefficiencies in fraud and claims processes; propose and implement solutions leveraging Lean Six Sigma and automation.
- Ensure all investigations adhere to regulatory and internal standards.
- Partner with cross-functional teams to implement fraud prevention measures and share insights.
- Recommend process enhancements and leverage technology for efficiency.
- Explore technology, AI and automation opportunities to enhance fraud detection and reporting capabilities.
- Monitor emerging fraud trends within the insurance industry and update internal controls accordingly.
- Degree in data science, engineering, business administration or equivalent combination of education and experience.
- Data Analyst Professional certificates preferred. Power BI, Tableau Desktop Specialist, Lean Six Sigma or equivalent certification.
- Minimum 5 years data analytics experiences..
Job type:
Full-time
Salary:
negotiable
- āļāļĢāļąāļāļāļĢāļļāļāļāļēāļāļāđāļāļĄāļđāļĨāđāļāļīāļ Engineering āđāļĨāļ°āļ§āļīāđāļāļĢāļēāļ°āļŦāđāļāđāļāļĄāļđāļĨ āđāļāļ·āđāļāđāļŦāđāđāļāļīāļāļāļĢāļ°āļŠāļīāļāļāļīāļ āļēāļāđāļĨāļ°āļāļ§āļēāļĄāđāļŠāļāļĩāļĒāļĢāļ āļēāļ āļāļāļāļāļļāļāļāļĢāļāđāļāļēāļĢāļāļĨāļīāļ.
- āļāļąāļāļāļēāđāļĄāđāļāļĨāļāļģāļāļēāļĒāļāļ§āļēāļĄāđāļŠāļĩāļĒāļŦāļēāļĒāļāļāļāđāļāļĢāļ·āđāļāļāļāļąāļāļĢ āđāļāļ·āđāļāđāļŦāđāļāļĩāļĄāļāđāļāļĄāļāļģāļĢāļļāļāļ§āļēāļāđāļāļāļāđāļāļĄāļāļģāļĢāļļāļāļĨāđāļ§āļāļŦāļāđāļē (Predictive Maintenance).
- āļ§āļīāđāļāļĢāļēāļ°āļŦāđāđāļĨāļ°āļāļĢāļąāļāļāļĢāļļāļāđāļŠāđāļāļāļēāļāļāļēāļĢāļāļāļŠāđāļ āļāļēāļāļāļāđāļĨāļ°āļāļēāļāļāđāļģ āđāļāļ·āđāļāđāļŦāđāļĄāļĩāļāļĢāļ°āļŠāļīāļāļāļīāļ āļēāļāļŠāļđāļāļŠāļļāļ āđāļĨāļ° āļĨāļāļāđāļāļāļļāļ.
- āļŠāļĢāđāļēāļāđāļāļĢāļ·āđāļāļāļĄāļ·āļāļ§āļīāđāļāļĢāļēāļ°āļŦāđ āđāļāļ·āđāļāļāđāļ§āļĒāđāļāļāļēāļĢ āļāļĢāļīāļŦāļēāļĢāļŠāļāđāļāļāļāđāļģāļĄāļąāļāđāļĨāļ°āļāļēāļĢāļāļąāļāļŠāļĢāļĢāļāļĨāļīāļāļ āļąāļāļāđ āđāļāļĒāļąāļāļāļĨāļąāļāđāļāđāļāļĒāđāļēāļāđāļŦāļĄāļēāļ°āļŠāļĄ.
- āļāļđāđāļĨāđāļĄāđāļāļĨāļāļąāđāļāļŦāļĄāļ āļāļąāđāļāđāļāđāļāļēāļĢāļāļąāļāļāļē, āļāļēāļĢāļāļāļŠāļāļ, āļāļēāļĢāļāļģāđāļāđāļāđāļāļĢāļīāļ, āđāļāļāļāļāļķāļ āļāļēāļĢāļāļīāļāļāļēāļĄāđāļĨāļ°āļāļĢāļąāļāļāļĢāļļāļ āđāļŦāđāļāļģāļāļēāļāđāļāđāļāļĩāđāļŠāļĄāļ.
- āļŠāļĢāđāļēāļāļĢāļ°āļāļ (Data Pipeline) āļāđāļ§āļĒāđāļāđāļ Python āđāļĨāļ° SQL āđāļāļ·āđāļāđāļāļĢāļĩāļĒāļĄāļāđāļāļĄāļđāļĨāļāļāļēāļāđāļŦāļāđāļŠāļģāļŦāļĢāļąāļāļāļēāļĢāļ§āļīāđāļāļĢāļēāļ°āļŦāđ.
- āļāļģāļāļēāļāļĢāđāļ§āļĄāļāļąāļāļ§āļīāļĻāļ§āļāļĢ āđāļāļ·āđāļāļāļģāđāļŠāļāļāļāļĨāļĨāļąāļāļāđāļāļĩāđāļāļąāļāļāđāļāļāđāļŦāđāđāļāđāļ āļāđāļāļĄāļđāļĨāđāļāļīāļāļĨāļķāļāļāļĩāđāļāļģāđāļāđāļāđāđāļāđāļāļĢāļīāļ āļāđāļēāļāđāļāļĢāļ·āđāļāļāļĄāļ·āļ Power BI.
- āļāļĢāļīāļāļāļēāļāļĢāļĩ / āđāļ āđāļāļŠāļēāļāļē Data Science, āļŠāļāļīāļāļī, āļ§āļīāļāļĒāļēāļāļēāļĢāļāļāļĄāļāļīāļ§āđāļāļāļĢāđ, āļ§āļīāļĻāļ§āļāļĢāļĢāļĄāļĻāļēāļŠāļāļĢāđ, āļāļāļīāļāļĻāļēāļŠāļāļĢāđāļāļĢāļ°āļĒāļļāļāļāđ.
- 1-3 āļāļĩāļāļķāđāļāđāļ āđāļāļāļāļāļēāļ Data Scientist, Data Analyst, āļŦāļĢāļ·āļ Machine Learning Engineer āđāļāļĒāļĄāļĩāļāļĢāļ°āļŠāļāļāļēāļĢāļāđāđāļāļāļēāļĢāļāļģāļāļēāļāļāļąāļ Big Data āđāļĨāļ° āļāļēāļĢāļāļģāđāļĄāđāļāļĨāđāļāđāļāđāļāļēāļāļāļĢāļīāļ.
- āđāļāļĩāļĒāļāđāļāđāļ Python āđāļāđāļāļĨāđāļāļ āđāļāļ·āđāļāđāļāđāđāļāļāļēāļĢāļ§āļīāđāļāļĢāļēāļ°āļŦāđāļāđāļāļĄāļđāļĨāđāļĨāļ°āļŠāļĢāđāļēāļāđāļĄāđāļāļĨ.
- āļāļķāļāđāļĨāļ°āļāļąāļāļāļēāļĢāļāđāļāļĄāļđāļĨāļāļāļēāļāđāļŦāļāđ āļāļēāļāļāļēāļāļāđāļāļĄāļđāļĨāļāđāļēāļ āđ āđāļāđāļāļĒāđāļēāļāļĄāļĩāļāļĢāļ°āļŠāļīāļāļāļīāļ āļēāļāļāđāļ§āļĒ SQL.
- āļŠāļĢāđāļēāļāđāļĨāļ°āļāļģāđāļĄāđāļāļĨ Machine Learning āđāļāđāļāđāļāļĢāļīāļāđāļāļĢāļ°āļāļ āđāļāļ·āđāļāļŠāļĢāđāļēāļāļāļĨāļĨāļąāļāļāđāļāļēāļāļāļļāļĢāļāļīāļ.
Skills:
Salesforce, SQL, Tableau
Job type:
Full-time
Salary:
negotiable
- Extract, compile, and synthesise data from SiteMinder product platform, Salesforce CRM, and Snowflake data warehouse using SQL queries.
- Build and maintain dynamic dashboards in Google Sheets, Tableau, Salesforce to create unified performance visibility.
- Monitor real-time pipeline and performance health metrics across all regions, tracking conversion rates, activation timelines, and customer progression.
- Identify growth opportunities and revenue trends through cross-system data analysis.
- Develop automated reporting frameworks that pull from multiple data sources to track KPIs and operational metrics.
- Analyse customer behaviour patterns and product usage data to optimise onboarding pathways.
- Provide actionable insights that drive growth outcomes and improve conversion metrics.
- Create or manage forecasting models using historical data from Salesforce, Snowflake, and product analytics.
- Partner with leadership to translate data findings into strategic initiatives.
- Support business decision-making with comprehensive performance analytics delivered through intelligent dashboards and reports.
- What you have.
- Technical Proficiency.
- Advanced SQL skills for data extraction, transformation, and analysis.
- Experience with Snowflake data warehouse platform.
- Proficiency in Tableau for data visualisation and dashboard creation.
- Strong expertise in Salesforce CRM for pipeline management and reporting.
- Advanced Google Sheets skills including complex formulas, pivot tables, and data manipulation.
- Experience & Background.
- Experience in operations analytics, revenue operations, or similar role.
- Experience working with SaaS products and CRM systems.
- Advanced proficiency in Salesforce, Tableau, Snowflake, Google Suite.
- Proven SQL skills and experience with data visualisation tools.
- Experience working with multi-region, multi-language operations.
- Track record of driving operational efficiency through data-driven initiatives.
- Experience working across multiple regions/time zones preferred.
- Excellent project management and stakeholder management skills.
- Flexibility of working hours is required.
- Our Perks & Benefits.
- Equity packages for you to be a part of the SiteMinder journey.
- Hybrid working model (in-office & from home) / Fully remote.
- Mental health and well-being initiatives.
- Generous parental (including secondary) leave policy.
- Paid birthday, study and volunteering leave every year.
- Sponsored social clubs, team events, and celebrations.
- Employee Resource Groups (ERG) to help you connect and get involved.
- Investment in your personal growth offering training for your advancement.
- Does this job sound like you? If yes, we'd love for you to be part of our team! Please send a copy of your resume and our Talent Acquisition team will be in touch.
- When you apply, please tell us the pronouns you use and any adjustments you may need during the interview process. We encourage people from underrepresented groups to apply.
Skills:
Project Management, Product Design
Job type:
Full-time
Salary:
negotiable
- āđāļāđāļāļĢāļ§āļĄāļĢāļ§āļĄ āļāđāļāļāļ§āđāļēāļŦāļēāļāđāļāļĄāļđāļĨāļāļ§āļēāļĄāļāđāļāļāļāļēāļĢ (Requirement Gathering) āļāđāļāļāļ§āđāļē āļ§āļīāļāļąāļĒ āļāļĢāļ°āļāļ§āļāļāļēāļĢāļāļģāļāļēāļāļāļēāļāļāļļāļĢāļāļīāļāļāļĨāļāļāļāļāļāđāļāļāļģāļŦāļāļāļāļēāļāļāļļāļĢāļāļīāļ (Business Rules) āļāļāļāļŦāļāđāļ§āļĒāļāļēāļ.
- āļāļąāļāļāļģ āļŠāļīāđāļāļāļĩāđāļāđāļāļāļāļąāļāļāļēāđāļāļīāđāļĄāđāļāļīāļĄ (Gap Analysis) āđāļāļ·āđāļāļāļĢāļ°āđāļĄāļīāļāļāļāļāđāļāļāļāļēāļĢāļāļģāļāļēāļ (Scope of Work).
- āļāļđāđāļĨ āļāļīāļāļāđāļāļŠāļ·āđāļāļŠāļēāļĢāļāļąāļ Stakeholder āđāļĄāđāļ§āđāļēāļāļ°āđāļāđāļ Owner, Project Management Officer, UX/UI Designer, Developer āđāļāđāļāļāđāļ āđāļāļ·āđāļāļ§āļēāļāđāļāļ āđāļĨāļ°āļāļąāļāļĨāļģāļāļąāļāļāļēāļĢāļāļģāļāļēāļ.
- āđāļāļĨāļāļ§āļēāļĄāļāđāļāļāļāļēāļĢāļāļēāļ Business āļĄāļēāļŠāļ·āđāļāļŠāļēāļĢāļāļąāļ Developer āđāļĨāļ°āđāļāļĨāļāļģāļāļēāļĄ āļŦāļĢāļ·āļ āļāđāļāļāļ§āļēāļĄāļāļēāļāđāļāļāļāļīāļāđāļāļ·āđāļāļŠāļ·āđāļāļŠāļēāļĢ āļāļģāļāļ§āļēāļĄāđāļāđāļēāđāļāļāļąāļ Business Unit.
- āļāļąāļāļāļģāđāļāļāļŠāļēāļĢ āđāļāđāļ User Story āđāļāļ·āđāļāđāļĢāļĩāļĒāļāđāļĢāļĩāļĒāļāđāļāļĢāļāļāļēāļĢāđāļŦāđāđāļāļ·āđāļāļāļĢāđāļ§āļĄāļāļĩāļĄāđāļāđāļēāđāļāļāļĢāļāļāļąāļ.
- āļāļģāļāļēāļĢāļāļāļŠāļāļāļŠāđāļ§āļāļāļāļ System Integration āļāļąāļāļĢāļ°āļāļāđāļ§āļāļĨāđāļāļĄāļāļĩāđāđāļāļĩāđāļĒāļ§āļāđāļāļ.
- āļāļĢāļ°āļŠāļēāļāļāļąāļāļāļēāļāļāļđāđāđāļāđāđāļāļ·āđāļāļāļģāļāļēāļĢāļāļāļŠāļāļ User Acceptance Test.
- āļ§āļīāđāļāļĢāļēāļ°āļŦāđāļŠāļāļīāļāļīāļāļēāļĢāđāļāđāļāļēāļ āđāļāļ·āđāļāļāļģāđāļāļŠāļđāđāđāļāļ§āļāļēāļāļāļēāļĢāļāļĢāļąāļāļāļĢāļļāļāđāļĨāļ°āļāļąāļāļāļēāļĢāļ°āļāļāļāļĒāđāļēāļāļāđāļāđāļāļ·āđāļāļ.
- āļāļĢāļīāļāļāļēāļāļĢāļĩāļŠāļēāļāļēāļāļāļĄāļāļīāļ§āđāļāļāļĢāđ āļŦāļĢāļ·āļāļŠāļēāļāļēāļāļĩāđāđāļāļĩāđāļĒāļāđāļāļ.
- āļĄāļĩāļāļĢāļ°āļŠāļāļāļēāļĢāļāđāļŠāļģāļŦāļĢāļąāļāļāļēāļāļāđāļēāļāļāļĢāļīāļŦāļēāļĢāđāļāļĢāļāļāļēāļĢ IT āļāļĒāđāļēāļāļāđāļāļĒ 2 āļāļĩ.
- āļĄāļĩāļāļ§āļēāļĄāļĢāļđāđ/āđāļāđāļēāđāļ Methodology āļāļĩāđāđāļāđāđāļāļāļēāļĢāļāļąāļāļāļē.
- āļĄāļĩāļāļĢāļ°āļŠāļāļāļēāļĢāļāđāļāļģāļāļēāļāđāļāļāļēāļāļāļĩāđāđāļāļĩāđāļĒāļ§āļāđāļāļāļāļĒāđāļēāļāļāđāļāļĒ 4 āļāļĩ.
- āļĄāļĩāļĄāļāļļāļĐāļĒāđāļŠāļąāļĄāļāļąāļāļāđāļāļĩāđāļāļĩ āļŠāļēāļĄāļēāļĢāļāļāļģāļāļēāļāļĢāđāļ§āļĄāļāļąāļāļāļļāļāļāļĨāļāļ·āđāļāđāļāđ.
- āļĄāļĩāļāļ§āļēāļĄāđāļāđāļēāđāļāļāđāļēāļ Product Design āļāđāļēāļāđāļāļāļāļīāļāđāļĨāļ°āļāļļāļĢāļāļīāļāļāļ§āļāļāļđāđāļāļąāļ āđāļāļ·āđāļāļāļāļēāļāļāđāļāļāđāļāđāļāļāļąāļ§āļāļĨāļēāļāđāļāļāļēāļĢāđāļāļĨāļāļ§āļēāļĄāļĢāļ°āļŦāļ§āđāļēāļ Business Unit āđāļĨāļ° Developer.
- Contact Information:-.
- K. Sawarin.
- 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.
Skills:
English
Job type:
Full-time
Salary:
negotiable
- we encourage you to apply early.
- The LIVE Operations team is obsessed with everything to do with TikTok LIVE. From content strategy, monetization, gifting, LIVE features, data analysis, creating campaigns and ensuring a fun and safe space for all of our LIVE users. We are looking for passionate and talented people to join the LIVE Operations team and support in our mission to inspire creativity and bring joy.
- Follow up on day-to-day issues and requests from Thailand TCN TikTok creator network ...
- Regularly track and analyze key performance metrics for TCN TikTok creator network; support relevant projects and ensure smooth project execution.
- Participate in cross-functional communication and coordination to improve cross-department collaboration efficiency.
- Assist in organizing local online and offline revenue-driving campaigns and events for streamers, as well as TCN-related activities.
- Currently enrolled in a Bachelor s degree program or above; no restriction on major.
- Familiar with Thai culture and the local market; able to use English and Thai as working languages because you ll have the opportunity to work directly with live stream creators from all around the world.
- Actively enrolled university students who can commit to the role for at least 3 months and above ideally with a minimum of 4 working days per week.
- Strong communication skills, ability to work under pressure, good comprehension, and strong team spirit.
- Detail-oriented, highly responsible, with strong ownership and a proactive mindset.
- By submitting an application for this role, you accept and agree to our global applicant privacy policy, which may be accessed here: https://careers.tiktok.com/legal/privacy If you have any questions, please reach out to us at [email protected].
Skills:
Legal, Statistics, Data Analysis
Job type:
Full-time
Salary:
negotiable
- Maintain, update, and manage litigation data in the bank s information systems (e.g., LIT system) to ensure accuracy and completeness.
- Prepare and analyze litigation reports, including statistical data and case status, to support case monitoring and management.
- Coordinate with related departments to obtain additional documents or information and ensure data accuracy in the system.
- Support the preparation of management reports regarding litigation status, case progress, and other related information.
- Scan and manage legal documents and upload them into the bank s document management systems and shared drives.
- Assist in improving data management processes and supporting the use of systems or tools to enhance efficiency in litigation data management.
- Perform other duties as assigned by supervisors.
- Bachelor s degree in Information Technology, Statistics, Data Science, Computer Science, or related fields.
- Experience in data management, data analysis, or information systems is preferred.
- Strong proficiency in Microsoft Excel and data analysis tools.
- Good analytical, data management, and reporting skills.
- Detail-oriented with strong organizational skills.
- Experience in banking, financial institutions, or legal/litigation environments will be an advantage.
- 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.
- (https://krungsri.com/b/privacynoticeen).
- 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.
- Only shortlisted candidates will be contacted"
- FB: Krungsri Career.
- LinkedIn: Krungsri.
- LINE: Krungsri Career.
Skills:
Compliance
Job type:
Full-time
Salary:
negotiable
- FB: Krungsri Career.
- LINE: Krungsri Career.
- LinkedIn: Krungsri.
- Talent Acquisition Department
- Bank of Ayudhya Public Company Limited
- 1222 Rama III Rd., Bangpongpang, Yannawa, Bangkok 10120.
Skills:
Compliance, Legal, Risk Management
Job type:
Full-time
Salary:
negotiable
- Coordinate with OpRisk team on annual Call Tree testing and report results.
- Analyze and advise on risk events and control measures related to Collections processes.
- Track and support compliance in debt collection procedures across internal and external staff, liaising with Legal, OpRisk, and Compliance teams.
- Assist in creating and updating BCP plans for Collections in line with corporate policy and timelines.
- Monitor service quality and complaints in both in-house and outsourced collection teams; analyze root causes and communicate corrective actions.
- Handle regulatory inquiries and complaints (e.g., from BOT, OCPB, AMLO), ensuring timely reporting to Compliance and relevant stakeholders.
- Support updates to Compliance Checklists and Testing processes in accordance with regulatory changes.
- Coordinate updates to Collections Procedures and Manuals to ensure compliance with laws and internal policies.
- Prepare documentation for internal and external audits; track action plans for any issues found.
- Review and validate Incident and PDPA Incident reports for accuracy and compliance, and share findings with relevant teams.
- Monitor CCRP system complaints to ensure resolution within SLA and maintain records for disciplinary tracking.
- Collaborate with OpRisk on BIA, RCSA, RA, and NCB audit-related matters.
- Perform other duties as assigned by supervisor.
- Bachelor s degree in Business, Risk Management, or related fields.
- Experience in Collections, Compliance, or Operational Risk preferred.
- Strong communication, coordination, and analytical skills.
- Knowledge of regulatory frameworks (BOT, PDPA, etc.) is a plus.
Job type:
Full-time
Salary:
negotiable
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Analyst - General Job Description and duties.
Analyst Overview:Analyst is a professional role that involves the analysis of data and information to provide insights and recommendations to an organization. Analysts are responsible for collecting, organizing, and interpreting data to identify trends and patterns, and to provide solutions to business problems. They use a variety of tools and techniques to analyze data, such as statistical analysis, data mining, and predictive analytics.
Common Responsibilities:
âĒ Gather and analyze data from multiple sources
âĒ Develop and implement data collection systems
âĒ Conduct statistical analysis and interpret data
âĒ Identify trends and patterns in data
âĒ Develop and present reports and recommendations
âĒ Provide technical support and advice to stakeholders
âĒ Develop and maintain databases and data systems
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