เงื่อนไขการค้นหา

ประสบการณ์:

1 ปีขึ้นไป

ทักษะ:

Financial Analysis, Accounting, Excel, English

ประเภทงาน:

งานประจำ

• Analyze financial performance both at platform level and on targeted initiative basis - identify business opportunities and influence budget approval and allocation process based on financial analysis.
• Analyze financial performances across different Shopee markets in Southeast Asia and other Regions.
• Manage internal cost and performance tracking process with the goal of improving this workflow over time.
• Summarize key results and present to senior management on a bi-weekly basis or as required for project approvals.
• Liaise internally and externally across multiple teams to obtain necessary information for analysis and ensure successful execution of given projects.
• Support other functions in budget planning, budget request process inquiries, and budget execution on a daily basis.
• Work closely with budget owners to support the annual, quarterly and monthly budget process. Perform analysis on prior years/quarters/months spending.
• Build forecasts using historic trends plus commercial input from business functions. Perform the monthly analysis and discuss the forecast with the related budget owners. Control of the monthly spending versus expected forecast.
• Requirements: Bachelor degree in Accounting, Business, Economics, Finance or related fields.
• 1-2 years of experience.
• Prior experience in audit, finance, banking or consulting is an advantage.
• Proficient with financial terms and concepts with good understanding of standard business P&L items.
• Strong stakeholders management and communication skills.
• Outstanding structural thinker, with strong time-management and organizational skills.
• Self-driven with willingness to learn and improve.
• Strong sense of responsibility and able to work under pressure to deliver results.
• Fluent in English, Proficient in Excel; Technical skills such as SQL is a plus. Willingness to learn is a must.

ทักษะ:

Budgeting, Automation, Accounting

ประเภทงาน:

งานประจำ

• Lead annual budgeting, forecasting, and long-range planning processes.
• Prepare monthly management reports, variance analysis, and performance dashboards.
• Partner with business units to analyze financial performance and key drivers.
• Develop and maintain financial models to support operational and strategic decisions.
• Conduct feasibility studies for new projects, business opportunities, and capital investments.
• Build and review project-level financial models.
• Evaluate commercial, financial, and operational assumptions.
• Perform scenario and risk analysis to support investment decisions.
• Prepare feasibility reports and investment memos for senior management and stakeholders.
• Work closely with operations, development, and strategy teams.
• Support pricing, cost optimization, and profitability initiatives.
• Provide financial insights to support strategic initiatives and board-level presentations.
• Ensure financial models and analyses follow best practices and governance standards.
• Improve FP&A tools, templates, and reporting processes.
• Support automation and system enhancements where applicable.
• Bachelor s degree in Finance, Accounting, Economics, or related field.
• 5-8 years of experience in FP&A, corporate finance, or investment analysis.
• Hands-on experience in project finance modeling.
• Strong understanding of financial statements, cash flow analysis, and valuation techniques.
• Advanced Excel skills; experience with financial modeling..

ประเภทงาน:

งานประจำ

• Review the see through NAB-TH financial performance from TBEV central accounting which is consolidated from all NAB BUs.
• Provide see through P&L, by brand & by channel, and see through gross profit by packsize by brand by channel on monthly basis.
• Prepare see through financial performance for management for all NAB related meeting in timely manner.
• Support actual financial figures to business partners such as financial planning, project management office, business analysts, brand and trade teams.
• Also submit financial performance with analysis to regional team.
• Responsible for PBCS project to generate NAB standard management report from system..
• Accounting / Finance master degree.
• Financial/Management accounting experience more than 6 yrs with auditing experience.
• FMCG financial background is preferred.
• Able to prepare, review, understand and analyze P&L statement in all dimensions within the timelines.
• Able to handle with stressful situation, and ad hoc works.
• Able to manage team, business partners and managements.
• Good command of written and spoken English.
• ตำแหน่งงานนี้จำเป็นต้องผ่านการตรวจสอบประวัติอาชญากรรมตามหลักเกณฑ์ที่บริษัทกำหนด ***.
• Contact Information K. Nanchanok Ratsamesuntarangkul
• Email: [email protected]
• Company name: Thai Drinks Co., Ltd
• Working Location and address: CW Tower (Ratchadaphisek Rd Khwaeng Huai Khwang, Bangkok).

ทักษะ:

Finance, SAP CO, Financial Analysis

ประเภทงาน:

งานประจำ

• Costing experience is preference with SAP CO module (Inventory and costing).
• Critically assess the accuracy and analysis of the Standard cost against actual cost monthly (variance analysis).
• Controlling plant overheads cost and to track plant performances on a regular basis and drive attention to key performance indicator driving cost reduction and waste elimination initiatives at the plant.
• Providing financial analysis and reporting for the supply chain cost.
• Evaluating supply chain processes to identify cost-saving opportunities.
• Prepare report analyzing the feasibility of upcoming investment projects to executives for making investment decisions.
• Prepare financial feasibility, financial model for new business opportunities and presented to executives for decision making.
• Bachelor's Degree of Accounting/ Finance or equivalent.
• FMCG financial background is preferred.
• Able to handle with stressful situation, and ad hoc works.
• Fluent in English language.
• Management skills.
• ตำแหน่งงานนี้จำเป็นต้องผ่านการตรวจสอบประวัติอาชญากรรมตามหลักเกณฑ์ที่บริษัทกำหนด ***.
• Contact Information K. Nanchanok Ratsamesuntarangkul
• Email: [email protected]
• Company name: Thai Drinks Co., Ltd
• Working Location and address: CW Tower (Ratchadaphisek Rd Khwaeng Huai Khwang, Bangkok).

ทักษะ:

Risk Management, Project Management, Social media, English

ประเภทงาน:

งานประจำ

• Data Quality: Clean and update the database to ensure accuracy.
• Lead Generation Execution Identify service sales opportunities and from existing data.
• Marketing & Promotion: Execute outreach via Tele-marketing, Email, and Online channels to promote product.
• Campaign Deployment: Implement global business campaigns and coordinate actions with the Global Team.
• B. Responsibilities & duties: Marketing Event Management & Coordination Event Definition: Define objectives, scope, and agendas.
• Timeline: Schedule and coordinate all involved parties.
• Event Materials: Manage registration, opportunity detection tools, and gifts/premiums.
• Risk Management: Develop "Plan B" for potential emergencies.
• Tracking & Analysis Data Collection: Gather attendee feedback and participation data.
• Sales Handover: Transfer identified business opportunities to the Sales team.
• Tracking: Follow up and monitor the progress of all event-generated opportunities.
• C. Skills, English.
• Project Management.
• Social media & AI.
• Presentation & writing skills (email, briefing).
• D. Software, Excel, Word, Outlook, PowerPoint, MS-team.
• Saleforce.
• What will make you successful: Proven track record in database marketing and lead management operations.
• Strong analytical mindset with expertise in statistical analysis and customer segmentation.
• Experience with direct marketing campaigns and customer behavior analysis.
• Excellent communication skills to partner with sales teams and stakeholders.
• Demonstrated ability to translate data insights into actionable marketing strategies.
• Opportunity to shape and influence our global marketing operations strategy.
• Hands-on experience with cutting-edge marketing analytics tools and technologies.
• Collaborative environment working with cross-functional teams worldwide.
• Professional development and growth opportunities in marketing analytics.
• Chance to make a direct impact on business growth through data-driven decisions.
• Looking to make an IMPACT with your career?.
• When you are thinking about joining a new team, culture matters. At Schneider Electric, our values and behaviors are the foundation for creating a great culture to support business success. We believe that our IMPACT values - Inclusion, Mastery, Purpose, Action, Curiosity, Teamwork - starts with us.
• IMPACT is also your invitation to join Schneider Electric where you can contribute to turning sustainability ambition into actions, no matter what role you play. It is a call to connect your career with the ambition of achieving a more resilient, efficient, and sustainable world.
• We are looking for IMPACT Makers; exceptional people who turn sustainability ambitions into actions at the intersection of automation, electrification, and digitization. We celebrate IMPACT Makers and believe everyone has the potential to be one.
• Become an IMPACT Maker with Schneider Electric - apply today!.
• 36 billion global revenue
• 13% organic growth
• 150 000+ employees in 100+ countries
• 1 on the Global 100 World s most sustainable corporations.
• You must submit an online application to be considered for any position with us. This position will be posted until filled.
• Schneider Electric aspires to be the most inclusive and caring company in the world, by providing equitable opportunities to everyone, everywhere, and ensuring all employees feel uniquely valued and safe to contribute their best. We mirror the diversity of the communities in which we operate, and inclusion is one of our core values. We believe our differences make us stronger as a company and as individuals and we are committed to championing inclusivity in everything we do.At Schneider Electric, we uphold the highest standards of ethics and compliance, and we believe that trust is a foundational value. Our Trust Charter is our Code of Conduct and demonstrates our commitment to ethics, safety, sustainability, quality and cybersecurity, underpinning every aspect of our business and our willingness to behave and respond respectfully and in good faith to all our stakeholders. You can find out more about our Trust Charter here
• Schneider Electric is an Equal Opportunity Employer. It is our policy to provide equal employment and advancement opportunities in the areas of recruiting, hiring, training, transferring, and promoting all qualified individuals regardless of race, religion, color, gender, disability, national origin, ancestry, age, military status, sexual orientation, marital status, or any other legally protected characteristic or conduct.

ประเภทงาน:

งานประจำ

• Contribute to the demand management cycle of the integrated business planning (IBP) process for your categories and to strategy and structure discussions.
• Liaise with the commercial and operational teams and develop ways to continuously improve communication between the functions to support the delivery of the business KPIs for their families.
• Manage forecast compilation process, which includes owning the short-term weekly plan and the long-term forecast (three or more months).
• Interact with modelling team to generate statistical forecasting.
• Participate in the integrated business planning process and manage the demand planning tool.
• Perform root-cause analysis for continuous plan improvement for key service issues, forecast error and bias, and share output with appropriate leadership.
• What you will bring.
• Experience in a fast-moving consumer goods or consumer packaged goods environment, preferably in food or other fast moving, dynamic industry where shelf life is a constraint.
• Experience within an IBP/S&OP environment.
• Able to influence cross-functional teams, working on priorities and improving the plan.
• Excellent problem-solving skills, analytical skills - and able to understand and interpret data.
• Strong verbal and written communication skills.
• Team player who can work with many other functions on a daily basis.
• No Relocation support available Business Unit Summary.
• Mondelēz International in Southeast Asia is in five countries serving 19 markets with more than 18 nationalities and 7,500 employees. This group is emerging as one of the fastest growing regions in Asia, the Middle East and Africa, and we are proud of consistently producing high quality products in nine manufacturing sites. We are market leaders in key snacking categories, making and selling brands like Oreo and Tiger biscuits, Kinh Do mooncakes, Jacob s crackers, Cadbury Dairy Milk chocolate, Tang powdered beverage, Halls candy and Eden cheese. We set the benchmark in being a responsible business and contributing to the communities in which we operate. Mondelēz International is an equal opportunity employer and all qualified applicants will receive consideration for employment without regard to race, color, religion, gender, sexual orientation or preference, gender identity, national origin, disability status, protected veteran status, or any other characteristic protected by law.
• Job Type.
• Regular Demand Planning Customer Service & Logistics

ทักษะ:

Power BI, Excel

ประเภทงาน:

ฝึกงาน

• Focus on Business Analysis.
• Category Market Overview in Thailand.
• Business Solutions.
• Work closely with business units to understand the business requirement for the IT solution.
• Collects data and performs analysis on requirements.
• Monitor and control resources, including the system, to ensure maximum efficiency and effectiveness.
• Channel Development.
• Channel performance report & Power BI.
• In-store execution preparation.
• Sales kit development.
• Monthly deployment support.
• Sales and Operations Process.
• Work on the improvement project to create forecasting & analytics for cross-functional use.
• Analyze data using statistical and reporting tools, such as Excel and Power BI.
• Attend cross-functional reviews of various supply chain hurdles and actively participate in identifying solutions.
• and many other exciting departments!.
• Internship Details.
• Who We're Looking For: Motivated students or recent graduates eager to learn and contribute.
• Internship Periods: 1 June - 31 July 2026.
• Location: DKSH Thailand (Near Bangchak Station).
• Requisition Number: 193825 Job Function: Sales

ประเภทงาน:

ฝึกงาน

• Understanding business objectives and designing surveys to discover prospective customers preferences
• Analyzing statistical data using modern and traditional methods to collect it
• Collecting data on consumers, competitors and marketplace and consolidating information into actionable items, reports and presentations
• Monitor and predict sales and marketing trends.
• Measure how well marketing strategies and programs are working
• Support creation of quality measurements to track communication improvements in both internal and external channels
• Support creation of key insights & analysis of corporate communication
• Support in creating communication strategies in/externally and work closely with content creators.
• Qualifications: 3rd or 4th year student in a major in Marketing / Business / Communication or in any related field Excellent communication and presentation skills Have knowledge of Microsoft Office, particularly Excel Strong passion to learn and possession of growth mindset Fluent in both Thai and English (especially in reading and writing) Able to work under pressure and prioritize tasks Able to work independently and in a team environment Be open-minded and resilient Knowledge in AI and ability to use AI-related tools and technologies.
• Location: Head Office: Chatuchak, SJ Infinite One Business Complex

ทักษะ:

Analytical Thinking

ประเภทงาน:

งานประจำ

• Process and analyze energy usage data to develop comprehensive market insights and supplier evaluations.
• Create strategic energy supply and demand recommendations that maximize client savings and market opportunities.
• Design and implement statistical models using advanced coding and analytical tools to uncover patterns in complex data.
• Extract valuable information from both structured and unstructured data sources using cutting-edge techniques.
• Deliver clear, actionable recommendations based on thorough analysis to drive client decision-making.
• Proven track record in data analytics and statistical modeling within the energy sector.
• Strong programming skills and proficiency with state-of-the-art analytical tools.
• Ability to translate complex data patterns into meaningful business insights.
• Excellence in client communication and presentation of technical findings.
• Demonstrated expertise in managing multiple data sources and validation processes.
• Opportunity to work with industry-leading analytical tools and technologies.
• Exposure to diverse energy markets and complex business challenges.
• Professional growth through continuous learning and skill development.
• Collaborative environment fostering innovation and analytical thinking.
• Direct impact on client success through data-driven solutions.
• Let us learn about you! Apply today.
• Looking to make an IMPACT with your career?.
• When you are thinking about joining a new team, culture matters. At Schneider Electric, our values and behaviors are the foundation for creating a great culture to support business success. We believe that our IMPACT values - Inclusion, Mastery, Purpose, Action, Curiosity, Teamwork - starts with us.
• IMPACT is also your invitation to join Schneider Electric where you can contribute to turning sustainability ambition into actions, no matter what role you play. It is a call to connect your career with the ambition of achieving a more resilient, efficient, and sustainable world.
• We are looking for IMPACT Makers; exceptional people who turn sustainability ambitions into actions at the intersection of automation, electrification, and digitization. We celebrate IMPACT Makers and believe everyone has the potential to be one.
• Become an IMPACT Maker with Schneider Electric - apply today!.
• 36 billion global revenue
• 13% organic growth
• 150 000+ employees in 100+ countries
• 1 on the Global 100 World s most sustainable corporations.
• You must submit an online application to be considered for any position with us. This position will be posted until filled.
• Schneider Electric aspires to be the most inclusive and caring company in the world, by providing equitable opportunities to everyone, everywhere, and ensuring all employees feel uniquely valued and safe to contribute their best. We mirror the diversity of the communities in which we operate, and inclusion is one of our core values. We believe our differences make us stronger as a company and as individuals and we are committed to championing inclusivity in everything we do.At Schneider Electric, we uphold the highest standards of ethics and compliance, and we believe that trust is a foundational value. Our Trust Charter is our Code of Conduct and demonstrates our commitment to ethics, safety, sustainability, quality and cybersecurity, underpinning every aspect of our business and our willingness to behave and respond respectfully and in good faith to all our stakeholders. You can find out more about our Trust Charter here
• Schneider Electric is an Equal Opportunity Employer. It is our policy to provide equal employment and advancement opportunities in the areas of recruiting, hiring, training, transferring, and promoting all qualified individuals regardless of race, religion, color, gender, disability, national origin, ancestry, age, military status, sexual orientation, marital status, or any other legally protected characteristic or conduct.

ประสบการณ์:

3 ปีขึ้นไป

ทักษะ:

Industry trends, SQL, NoSQL, English

ประเภทงาน:

งานประจำ

• Design and work on all aspects of bringing ML models into production, develop CI/CD pipelines by collaborating with other disciplines such as data engineering, application development, cloud infrastructure, and security to implement AI solutions in production.
• Work collaboratively with data scientists along the machine learning lifecycle from data pipeline, data preparation, model deployment, and model monitoring.
• Understand and assess AI/ML industry trends to leverage technologies, continuously i ...
• Provide architectural and technical leadership to drive AI/ML capabilities.
• Initiate innovation and development projects to continuously improve the overall efficiency of the team in the engineering aspect.
• Professional Knowledge & Experiences.
• Degree in computer science or related fields, with concentration in Machine Learning/AI engineering.
• At least 3 years of experience in implementing and deploying Machine Learning solutions (using various models, such as Linear/Logistic Regression, Support Vector Machines, Neural Networks, etc.). Expertise with Data Science and experience with manipulating/transforming data, model selection, model training, and deployment at scale.
• Knowledge and experience in database technologies, such as SQL, NoSQL, and demonstrate knowledge of databases (Google BigQuery preferred), Data ETL framework (Airflow), ML libraries (scikit-learn, XG Boost, PyTorch, etc.), ML Frameworks (Kubeflow, MLFlow, etc.).
• Knowledge and experience in Kubernetes technology. Be able to develop CI/CD pipeline, deploy workloads, configure and monitor jobs on kubernetes clusters.
• Significant proficiency in Python. Experience working with GCP is preferrable.
• Ability to work in cross functional teams, have team-work mindset, self-motivation.
• Excellent written and verbal communication skills in English.
• Additional Desirable Qualification.
• Solid grounding in statistics, probability theory, data modelling, machine learning algorithms and software development techniques and languages used to implement analytics solutions.
• Extensive background in statistical analysis and modeling (distributions, hypothesis testing, probability theory, etc.).
• CORE Competencies.

ทักษะ:

Kafka, Python, SQL

ประเภทงาน:

งานประจำ

• Develop and maintain credit risk assessment and lending decisions modules.
• Expertise for handling large financial databases and credit data manipulation.
• Design and implement credit-risk decisioning model solutions using API-based frameworks (e.g., Flask, FastAPI) or event-driven architecture (e.g., Kafka, Pub/Sub), along with other suitable technologies.
• Monitor model performance to ensure high accuracy and reliability in credit decisions.
• Data Analysis & Risk Assessment.
• Clean and preprocess financial datasets, particularly credit lending and risk data.
• Conduct advanced statistical analyses to support risk assessment and lending decisions.
• Technical Skills.
• Proficiency in Python, SQL, and machine learning libraries (TensorFlow, PyTorch, Scikit-Learn).
• Experience with cloud platforms (AWS,GCP) for model deployment.
• Knowledge of statistical and machine learning techniques for risk modeling.
• Domain Expertise.
• Understanding of credit lending and risk assessment principles.
• Experience in financial data analysis within regulatory constraints.
• Proven track record in developing credit decision engines (optional).
• Education & Experience.
• Bachelor s degree or higher in Statistics, Computer Science, Mathematics, or related field.
• Minimum 3 years experience in retail lending or similar role.
• Additional Requirements.
• Strong communication skills for presenting complex findings and process flow to management.
• Experience with data visualization tools (Tableau, Power BI).
• Ability to work collaboratively with cross-functional teams..
• You have read and reviewed Infinitas By Krungthai Company Limited's Privacy Policy at https://krungthai.com/Download/download/DownloadDownload_73Privacy_Policy_Infinitas.pdf. The Bank does not intend or require the processing of any sensitive personal data, including information related to religion and/or blood type, which may appear on copy of your identification card. Therefore, please refrain from uploading any documents, including copy(ies) of your identification card, or providing sensitive personal data or any other information that is unrelated or unnecessary for the purpose of applying for a position on the website. Additionally, please ensure that you have removed any sensitive personal data (if any) from your resume and other documents before uploading them to the website.
• The Bank is required to collect your criminal record information to assess employment eligibility, verify qualifications, or evaluate suitability for certain positions. Your consent to the collection, use, or disclosure of your criminal record information is necessary for entering into an agreement and being considered for the aforementioned purposes. If you do not consent to the collection, use, or disclosure of your criminal record information, or if you later withdraw such consent, the Bank may be unable to proceed with the stated purposes, potentially resulting in the loss of your employment opportunity with.".

ทักษะ:

Statistics, Excel, SQL, English

ประเภทงาน:

งานประจำ

• 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.

ทักษะ:

Legal, Statistics, Data Analysis

ประเภทงาน:

งานประจำ

• 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.

ประเภทงาน:

งานประจำ

• To create effective data visualizations to monitor the Liquidity and Interest Rate Risk of the bank, KS Group Companies, and Consolidation.
• Adopt statistical concepts and methods for data interpretation and analysis for the ALCO report.
• Leverage bank data from the ALM system, Market Data, KS Group Companies data, etc. Then verify data, model, and transform data into a suitable format for analysis.
• Apply statistics to analyze the optimization of the structure of the balance sheet and Liquidity & Interest Rate Risk.
• Detecting and managing Risk and making funding and investment decisions.
• Enhancement of the existing system and monitoring reports.
• Master s degree in data science, Data Analytics, Statistics, Mathematics, Business, Financial, Economics.
• Industry knowledge in preferable eg. Banking, Treasury, Market Risk, Financial Planning, or Asset and Liability Management is preferable.
• 5-10Years of experience or more years of professional experience in data analysis or related field.
• Expert in programming languages like Python, SQL, Analysis, and Model Building.
• Strong understanding of statistical.
• Data Visualization and Communication. Experience in using data visualization tools eg Tableau, Power BI, Excel, Macro.
• Strategic Thinking in understanding business objectives and translating business problems into data-driven solutions.
• Ability to collaborate with work environmentally.
• Excellence in written and verbal communication skills, including the ability to present complex findings to ALCO.
• Strong analytical and problem-solving skills to identify and address data-related challenges.
• Proactive in identifying opportunities to leverage data to improve business outcomes.
• Innovative, Adaptability and Continue developing to make significant contributions.

ทักษะ:

Research, Big Data, Full Stack, English

ประเภทงาน:

งานประจำ

• 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).

ทักษะ:

Statistics, Excel, SQL, English

ประเภทงาน:

งานประจำ

• 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.

ทักษะ:

Research, Big Data, Full Stack, English

ประเภทงาน:

งานประจำ

• 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).