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ทักษะ:
Market Research, Research, Financial Modeling, English
ประเภทงาน:
งานประจำ
เงินเดือน:
สามารถต่อรองได้
- Conduct market research and analysis to identify emerging trends, competitive landscapes, and growth opportunities within target markets.
- Analyze industry data, customer insights, and market dynamics to assess market size, segmentation, and potential market penetration strategies.
- Evaluate potential business opportunities, partnerships, and investments through financial modeling, feasibility studies, and risk assessments.
- Collaborate with sales, marketing, and product teams to develop go-to-market strategies and sales enablement initiatives for new business initiatives.
- Support the development of business cases, proposals, and presentations to stakeholders, including senior management, investors, and partners.
- Perform competitive analysis and benchmarking to identify key competitors, market positioning, and differentiation strategies.
- Monitor key performance indicators (KPIs), metrics, and milestones to track the progress and success of team initiatives.
- Bachelor's degree or higher in Business Administration, Finance, Economics, or related field.
- Proven at least 5 years of experience as a Business Analyst, Strategy Consultant, or similar role.
- Strong analytical skills with proficiency in market research and business modeling.
- Experience with analysis tools such as Excel, Power BI, Tableau.
- Excellent communication and presentation skills, with the ability to distill complex concepts into clear and compelling narratives.
- Ability to work independently and collaboratively in a fast-paced, deadline-driven environment.
- Good command in English.
ประเภทงาน:
งานประจำ
เงินเดือน:
฿50,000 - ฿70,000, สามารถต่อรองได้
- Lazada s strong performance led to the acquisition of a majority stake by Alibaba Group in April 2016. Given our tremendous growth, we are searching for dynamic, entrepreneurial, broad-minded individuals to be part of our rapidly expanding team! Join our diverse and motivated team to hone in on your creativity as well as implement new initiatives within a nurturing, equal opportunity environment!.
- Lazada Thailand employs over 850+ professionals and has won many awards namely for Top Marketplace from Priceza and People's Choice 2017..
- Job Scope.
- ꔷ Analyze and interpret complex data sets to uncover insights and trends that drive business strategy and decision making.
- ꔷ Data extraction via SQL for analysis and reporting purpose, ensuring data quality and accuracy.
- ꔷ Design and maintain dashboards, reports, and visualizations using tools to communicate insights effectively.
- ꔷ Participate in data governance initiatives, ensuring compliance with data privacy and security regulations.
- ꔷ Collaborate with cross-functional teams to consolidate and track progress of business actions, as well as ensuring delivery of reports and insights.
- ꔷ Maintain in-house data and documentation portals, ensuring data quality and up-to-date information & reports.
- ꔷ Stay updated with industry trends and new technologies to enhance data analytics capabilities..
- ꔷ Bachelor's/Master's Degree, preferably in MBA, Management, Business Analytics, Statistics, Mathematics.
- ꔷ Strong analytical and problem-solving skills, with ability to breakdown complex problems into simpler pieces.
- ꔷ Effective communicator with excellent presentation skills.
- ꔷ Self-motivated, strong ownership and strong team management skills.
- ꔷ Prior knowledge & experience on working with SQL is desirable, and at least one data visualization tool (e.g., Tableau, Power BI).
- ꔷ At least 2-3 years of work experience in analytics, consulting, or other quantitative position would be highly preferred.
- ꔷ Able to communicate in Chinese would be additional advantage.
ประสบการณ์:
5 ปีขึ้นไป
ทักษะ:
Statistical Analysis, SQL, Excel
ประเภทงาน:
งานประจำ
เงินเดือน:
สามารถต่อรองได้
- Develop and enhance business intelligence solutions, directly contacting stakeholders and top management to transform data into actionable insights.
- Establish and maintain robust relationships with stakeholders, ensuring alignment with business goals and optimally communicating updates, feedback, and addressing concerns.
- Complex Data Analysis and Operational Excellence Analyze large, critical data sets and conduct sophisticated statistical analysis to derive meaningful insights.
- Build and operationalize processes to ensure timely data loading and maintain data accuracy, using tools such as SQL, Snowflake, Microsoft Excel, Tableau, and Microsoft Power BI.
- Define key performance measures, supervise capacity and service status, and assess risk levels across infrastructures, addressing issues with relevant teams and progressing open actions.
- Insight Generation and Continuous Improvement Conduct trend analysis to detect patterns and anomalies in service metrics, performing root cause analysis and driving continuous improvement initiatives.
- Track and analyze mean time metrics for incident, case, and alarm handling, providing actionable insights for operational excellence and customer experience.
- Optimize resource utilization through regular analysis of system capacity, developing and implementing risk management strategies for individual products.
- Collaboration and Communication Facilitate review forums to unify stakeholders and drive collective decision-making, providing regular reports to key customers to communicate current status and drive timely actions.
- Liaise with global development teams to troubleshoot, analyze, and investigate performance-related issues in the infrastructure.
- Qualifications Bachelor's degree in Data Science, Statistics, Computer Science, or a related field.
- Minimum of 5 years of experience in data analysis or a related field.
- Proficiency in data analysis tools i.e. SQL, python, R, and Tableau/Power BI.
- Strong analytical and problem-solving skills with focused attention to detail.
- Strong organization and project management skills.
- Superb communication and presentation skills.
- Ability to communicate complex data insights optimally to stakeholders.
- Preferred: Experience with Datadog or Big Panda.
- Experience with data modelling.
- Experience in tech industry.
- LSEG is an equal opportunities employer, that seeks to offer an inclusive environment to all colleagues. Furthermore, LSEG has committed to reduce its carbon emissions by 50% by 2030, and to reach net zero by 2040. LSEG is a leading global financial markets infrastructure and data provider. Our purpose is driving financial stability, empowering economies and enabling customers to create sustainable growth. Our purpose is the foundation on which our culture is built. Our values of Integrity, Partnership, Excellence and Change underpin our purpose and set the standard for everything we do, every day. They go to the heart of who we are and guide our decision making and everyday actions. Working with us means that you will be part of a dynamic organisation of 25,000 people across 65 countries. However, we will value your individuality and enable you to bring your true self to work so you can help enrich our diverse workforce. You will be part of a collaborative and creative culture where we encourage new ideas and are committed to sustainability across our global business. You will experience the critical role we have in helping to re-engineer the financial ecosystem to support and drive sustainable economic growth. Together, we are aiming to achieve this growth by accelerating the just transition to net zero, enabling growth of the green economy and creating inclusive economic opportunity. LSEG offers a range of tailored benefits and support, including healthcare, retirement planning, paid volunteering days and wellbeing initiatives. We are proud to be an equal opportunities employer. This means that we do not discriminate on the basis of anyone s race, religion, colour, national origin, gender, sexual orientation, gender identity, gender expression, age, marital status, veteran status, pregnancy or disability, or any other basis protected under applicable law. Conforming with applicable law, we can reasonably accommodate applicants' and employees' religious practices and beliefs, as well as mental health or physical disability needs. Please take a moment to read this privacy notice carefully, as it describes what personal information London Stock Exchange Group (LSEG) (we) may hold about you, what it s used for, and how it s obtained, your rights and how to contact us as a data subject. If you are submitting as a Recruitment Agency Partner, it is essential and your responsibility to ensure that candidates applying to LSEG are aware of this privacy notice.
ประสบการณ์:
7 ปีขึ้นไป
ทักษะ:
Compliance, Risk Management, Project Management, English
ประเภทงาน:
งานประจำ
เงินเดือน:
สามารถต่อรองได้
- Project Delivery/Management: Support the delivery of data security projects focused on implementing tools such as Opentext, Securiti.AI, Fortanix, Guardium, OneTrust, Thales, Protegrity, and others across Southeast Asia.
- Client Collaboration: Work with clients to assess comprehensive data security risks and provide tailored recommendations for implementing capabilities including for data discovery, classification, encryption, anonymization, tokenization, certificate management, key management, safe data deletion, data loss prevention, Information Prot ...
- Subject Matter Expertise: Offer deep knowledge on security capabilities such as identity management, encryption, endpoint management, data loss prevention, email security, web and browser security, zero trust and key and certificate mgt. (e.g., Information and Data Protection, DLP, Insider Risk Management).
- Configuration and Deployment: Support the setup and deployment of data security solutions, ensuring seamless integration with client environments.
- Project Delivery: Ensure successful delivery of data security solutions across on-premise and cloud environment through strong project management and leadership.
- Client Relationships: Build and nurture positive working relationships with clients, aiming to exceed their expectations.
- Profitability Improvement: Identify opportunities to enhance engagement profitability through automation, creation of accelerators, and reuse of best practices.
- Your role as a leader.
- At Deloitte, we believe in the importance of empowering our people to be leaders at all levels. We connect our purpose and shared values to identify issues as well as to make an impact that matters to our clients, people and the communities. Additionally, Managers across our Firm are expected toDevelop diverse, high-performing people and teams through new and meaningful development opportunities.
- Collaborate effectively to build productive relationships and networks.
- Understand and lead the execution of key objectives and priorities for internal as well as external stakeholders.
- Influence stakeholders, teams, and individuals positively - leading by example and providing equal opportunities for our people to grow, develop and succeed.
- Deliver superior value and high-quality results to stakeholders while driving high performance from people across Deloitte.
- Apply their understanding of disruptive trends and competitor activity to recommend changes, in line with leading practices.
- Requirements:Degree in cyber security, computer science, business IT or equivalent.
- 7+ years of experience in cybersecurity, with a focus in data security, particularly in developing, implementing, or architecting security solutions from one or more of the listed vendor solutions above.
- 1+ years of hands-on experience with tools across and such as: Identity(Active Directory), Data Security including encryption solutions for storage, databases, networks (Guardium, Opentext, Protegrity, Fortanix, Securiti.AI etc), tokenization (for structured data), digital rights management for unstructured data (MS IRM / Purview), data loss prevention (Symantec, MS, Trellix, Zscaler), data posture mgt. (BigID, Sentra, Wiz, Securiti.AI, IBM Guardium etc.) and should have hands on experience including configuration, deployment, and management.
- Familiarity with standards, frameworks and privacy laws such as ISO/IEC 27701, ISO/IEC 27001, GDPR, PDPA and DAMA International Data Management Body of Knowledge (DAMA-DMBOK) would be a plus.
- Excellent communication and presentation skills, with the ability to influence senior stakeholders and deliver compelling recommendations.
- Strong leadership and team management capabilities, with experience mentoring and developing consultants.
- Preferred CIPP, CIPM, CIPT, CISSP certification or related security certification.
- Able to speak Thai and English fluently.
- Due to volume of applications, we regret that only shortlisted candidates will be notified.
- Please note that Deloitte will never reach out to you directly via messaging platforms to offer you employment opportunities or request for money or your personal information. Kindly apply for roles that you are interested in via this official Deloitte website. #LI-AA1Requisition ID: 107972In Thailand, the services are provided by Deloitte Touche Tohmatsu Jaiyos Co., Ltd. and other related entities in Thailand ("Deloitte in Thailand"), which are affiliates of Deloitte Southeast Asia Ltd. Deloitte Southeast Asia Ltd is a member firm of Deloitte Touche Tohmatsu Limited. Deloitte in Thailand, which is within the Deloitte Network, is the entity that is providing this Website.
ทักษะ:
Data Analysis, Industrial Engineering, Finance
ประเภทงาน:
งานประจำ
เงินเดือน:
สามารถต่อรองได้
- Insight Generation & Strategic Recommendations: Utilize deep knowledge of market trends, financial data, and process standards to generate actionable insights. Develop analysis models and provide strategic recommendations that drive business decisions and improvements in operations efficiency.
- Business Analysis & Reporting: Collaborate with senior management to analyze internal and external data sources. Develop comprehensive reports and presentations that support key initiatives and guide the business in trial projects and rollouts.
- Model Development & Data Integrity: Develop and maintain robust analytical models that support business analysis. Ensure data integrity and create best-practice reports based on thorough data analysis and visualization.
- Stakeholder Collaboration & Facilitation: Lead and facilitate collaboration across the business, ensuring alignment and engagement among stakeholders. Work closely with process and budget owners to achieve business objectives and implement strategic recommendations.
- Project Tracking & Risk Mitigation: Regularly monitor and update project progress, ensuring milestones are met. Develop and execute mitigation plans for any critical issues, ensuring the successful delivery of projects.
- Consultation & End-User Support: Provide initial consultation and tailored solutions to stakeholders based on business analysis. Occasionally develop dashboards and train end users to ensure effective use of insights and tools.
- 2-5 years+ working experience in Data Analytics, Process Improvement.
- Master's Degree in Industrial Engineering, Supply Chain, Finance, IT or related field.
- Knowledge of basic statistical techniques for hypothesis testing or prediction (Correlation, Regression, etc.).
- Skilled in process improvement, project management, and data analysis.
- Ability to use data and metrics to test theories, back up assumptions, develop business cases, complete root cause analysis and measure success.
- Ability to work independently and under pressure with business-partnering mindset.
- Good presentation, communication and influencing skills.
- Able to work 2 sites' office ( Head office - Phattanakarn, and Central office - Nawamin office).
- CP AXTRA | Lotus's
- CP AXTRA Public Company Limited.
- Nawamin Office: Buengkum, Bangkok 10230, Thailand.
- By applying for this position, you consent to the collection, use and disclosure of your personal data to us, our recruitment firms and all relevant third parties for the purpose of processing your application for this job position (or any other suitable positions within Lotus's and its subsidiaries, if any). You understand and acknowledge that your personal data will be processed in accordance with the law and our policy. .
ทักษะ:
Python, Power BI, Data Analysis
ประเภทงาน:
งานประจำ
เงินเดือน:
สามารถต่อรองได้
- Create, Develop and Monitor Auto Replenishment & Parameter.
- Maintain and adjust parameters to optimize stock availability/ stock level during normal/month and promotion periods.
- Investigate and identify root cause of overstocking and OOS at Store/DC.
- Monitoring of target stock on normal/seasonal period to suit with business sale target.
- Adjust daily sales in system to correct average daily sales after promotion period.
- Forecasting demand in each promotion campaign to manage Parameter setting.
- Develop Daily KPI Dashboard to monitor sales performance VS Suggest number from system.
- Bachelor Degree of Supply Chain, Logistic, Economics, Mathematic, Data Scientist and other relate filed.
- Have experience in System Analysis, Data Analysis, Supply Chain Analysis for 2-5 Years.
- Have experience in Retail / FMCG business would be advantage.
- Excellent for Excel, Power BI, Python.
- Good Analytic skills.
ทักษะ:
Business Development, Data Analysis, SQL
ประเภทงาน:
งานประจำ
เงินเดือน:
สามารถต่อรองได้
- Lead the development and execution of data-driven strategies to optimize sales and business development efforts within seller segment.
- Analyze large datasets to identify trends, opportunities, and potential risks, providing actionable insights to the sales and category management teams.
- Collaborate with cross-functional teams to design and implement data visualization tools and dashboards for monitoring performance and decision-making.
- Monitor market trends, competitors, and customer behavior to inform category strategies and adjust as needed to maintain a competitive edge.
- Develop and maintain predictive models to forecast sales, identify potential upselling and cross-selling opportunities, and assess the impact of promotional activities.
- Bachelor's degree in Business Administration.
- Minimum of 3 years of experience in data analytics, with a focus on sales and/or category management in a fast-paced, e-commerce environment.
- Proficient in using data analysis tools such as SQL, Python, R, and experience with data visualization platforms like Tableau or Power BI.
- Strong understanding of statistical analysis and modeling techniques, with the ability to communicate complex findings to non-technical stakeholders.
- Excellent interpersonal and communication skills, capable of building relationships and influencing decision-making across different teams.
ทักษะ:
Excel, Power point, Power BI, English
ประเภทงาน:
งานประจำ
เงินเดือน:
สามารถต่อรองได้
- Bachelor's degree in IT, Supply Chain or any related fields.
- At least 5 years experienced in DC, Warehouse, Supply Chain and Logistics.
- Strong Analytical skills.
- Advance Excel/ Power Point.
- Power BI is preferred.
- SQL/ Python is preferred.
- Good command in English.
ทักษะ:
Python, SQL, Analytical Thinking, English
ประเภทงาน:
งานประจำ
เงินเดือน:
สามารถต่อรองได้
- English as working language.
- Minimum of 3 years data analytics related working experiences.
- At least 1 year of working experience directly communicate to business team.
- Proficient in Python or SQL.
- Advanced hands on experiences with visualization tool.
- Strong communication and analytical thinking skills.
- Good balance of data and business knowledge.
- Fintech or banking industry.
- Internet companies with mobile application.
- 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.".
ประสบการณ์:
3 ปีขึ้นไป
ทักษะ:
English
ประเภทงาน:
งานประจำ
เงินเดือน:
สามารถต่อรองได้
- Responsible for planning preventive maintenance schedules for air condition & Fire protection systems.
- Responsible for coordinating and managing vendors and suppliers to preventive maintenance and payment plans.
- 2nd Level support to Data Center Operation (FOC), on site to solve Incident and Problem management.
- 2nd Level support to engineer team all site, Data Center (TT1, TT2, MTG, BNA).
- To create & update reports and documents to comply with ISO 20k, 22k, 27k, 50k & TCOS standards.
- Review PUE, cost saving energy and report.
- Measured Efficiency air system and record annual report.
- Responsible for implementation of Mechanical such as comfort air, precision air.
- Responsible for implementation of Fire suppression such as FM200, NOVEC, CO2, Fire Sprinkler, Fire Pump, Fire alarm, and Vesda.
- Working period office time 9:00 - 18:00 and able to standby on call or onsite to work on holiday.
- Bachelor degree of Engineering, Mechanical engineering or related field.
- At Least 3 years experience in maintenance air conditioning such as comfort air, precision air, chiller air cool, water cool, pump motor: implement and support for mechanics-air condition systems in buildings or Data Centers.
- At least 1 years experience in designing air conditioners such as comfort air, precision air, chiller air cool, water cool, pump motor: implement, and support for mechanics-air condition systems in building.
- Able to Air - Diagram and Psychrometric chart knowledge.
- Able to work as a team and work in and standby on call on holiday.
- Able to work overtime if required and a hotline arrives (Less than 1 hour on site from your home).
- Proficiency in English communication is beneficial.
- Work Location: TrueIDC - Bangna Site (KM26).
ประสบการณ์:
5 ปีขึ้นไป
ทักษะ:
Data Analysis, Python, SQL, English
ประเภทงาน:
งานประจำ
เงินเดือน:
สามารถต่อรองได้
- Analyze and organize raw data.
- Combine raw information from different sources.
- Designing and building data models to support business requirements.
- Developing and maintaining data ingestion and processing systems.
- Implementing data storage solutions. (databases and data lakes).
- Ensuring data consistency and accuracy through data validation and cleansing techniques.
- Conduct complex data analysis and report on results.
- Explore ways to enhance data quality and reliability.
- Working together with cross-functional teams to identify and address data-related issues.
- Writes unit/integration tests, contributes to engineering wiki, and documents work.
- Bachelor or Master Degree in Computer Science, Software Engineering, Computer Engineering ICT, IT or any related technical field.
- At least 5 years of experience as a data engineer or in a similar role.
- Experience with schema design and dimensional data modeling.
- Experience and knowledge in Python development.
- Advanced working SQL knowledge and experience working with relational databases, query authoring (SQL) as well as working familiarity with a variety of databases.
- A successful history of manipulating, processing and extracting value from large disconnected datasets.
- Experience building and optimizing data pipelines, architectures and data sets.
- Experience designing, building, and maintaining data processing systems.
- Experience with orchestration tools e.g. batch and real-time data processing.
- Experience with CICD pipeline data.
- Experience with big data.
- Familiarity with data integration and ETL tools.
- Strong problem-solving and analytical skills.
- Able to speak Thai fluently and basic command in English.
ทักษะ:
Data Analysis, Finance, SQL, English
ประเภทงาน:
งานประจำ
เงินเดือน:
สามารถต่อรองได้
- Data Analysis: Conduct in-depth analysis of retail and wholesale business data to address specific business questions and challenges.
- Insight Generation: Interpret results from dashboards and data analyses to develop actionable insights and strategic recommendations.
- Requirement Gathering: Identify business problems, gather requirements, and propose potential solutions, including leveraging AI to enhance business operations.
- ML Model creation: Create data analytic model including both deterministic and machine learning model.
- AI vendors coordination: Collaborate with external AI suppliers to align project objectives with technological capabilities.
- Cross-Departmental Collaboration: Work with various departments to develop and implement data-driven strategies that optimize business processes and decision-making.
- Communication: Act as a liaison between stakeholders and AI vendors, ensuring clear communication and understanding of project requirements.
- Data analytics and AI Strategy Design: Design and recommend how Business Intelligence (BI) and AI technologies can address business problems and provide further insights.
- Decision-making support: Present key findings from own analysis and strategic recommendations to business counterparts and senior management, focusing on project approaches and strategic planning.
- Master's degree in Finance, Business, Engineering, or a related field.
- Strong business acumen, with a deep understanding of retail and wholesale business.
- 3+ years of proven experience as a data analytic role (Retail or E-Commerce business is preferable).
- Hands-on Experience in SQL, data cloud platform (e.g., Databricks, Snowflake, GCP, or AWS), and high proficiency in Excel.
- Good Knowledge of Statistics.
- Experience in Python (Pandas, Numpy, SparkSQL), Data Visualisation (Tableau, PowerBI) is a plus.
- Excellent communication skills with the ability to convey complex findings to non-technical stakeholders.
- Fluent in Thai and English.
- Having a good attitude toward teamwork and willing to work hard.
- CP AXTRA | Lotus's
- CP AXTRA Public Company Limited.
- Nawamin Office: Buengkum, Bangkok 10230, Thailand.
- By applying for this position, you consent to the collection, use and disclosure of your personal data to us, our recruitment firms and all relevant third parties for the purpose of processing your application for this job position (or any other suitable positions within Lotus's and its subsidiaries, if any). You understand and acknowledge that your personal data will be processed in accordance with the law and our policy. .
ประเภทงาน:
งานประจำ
เงินเดือน:
สามารถต่อรองได้
- ศึกษา รวบรวมข้อมูลสภาพแวดล้อมทางการตลาด เศรษฐกิจ วัฒนธรรม พฤติกรรมผู้บริโภค กฎระเบียบข้อบังคับ รวมถึงปัจจัยต่าง ๆ ที่มีส่วนเกี่ยวข้อง ตามที่ได้รับมอบหมาย เพื่อใช้เป็นข้อมูล ในการจัดทำแผนธุรกิจอย่างมีประสิทธิภาพ.
- วิเคราะห์ จัดทำรายงานการศึกษาตลาด ตรวจสอบกิจการ (Due Diligence) และการวิเคราะห์ความคุ้มค่าการลงทุนทางเศรษฐศาสตร์ การประเมินมูลค่าสุทธิของกิจการ (Enterprise Value), การประเมินมูลค่า (Valuation) และการวิเคราะห์ด้านอื่น ๆ ของการลงทุนโครงการธุรกิจใหม่ในลักษณะ Merger & Partnership หรือ Joint Venture นำเสนอต่อผู้บังคับบัญชา.
- ติดต่อ ประสานงานกับพันธมิตรทางธุรกิจ บริษัทวาณิชธนกิจ หรือบริษัท Project Developers อื่น ๆ ที่เกี่ยวข้อง เพื่อให้สามารถพัฒนาธุรกิจได้สอดคล้องกับทิศทางและนโยบายของบริษัท.
- รับผิดชอบงานโครงการพัฒนาธุรกิจใหม่ที่ได้รับอนุมัติให้ลงทุน ตามบทบาท หน้าที่ที่ได้รับมอบหมาย เพื่อสนับสนุนการดำเนินโครงการให้สำเร็จได้ตามเป้าหมายที่กำหนด และสามารถส่งมอบให้กับบริษัทย่อยหรือหน่วยงานปฏิบัติการที่เกี่ยวข้องได้.
- ปริญญาตรีขึ้นไป สาขาการเงิน เศรษฐศาสตร์ การตลาด บริหารธุรกิจ หรือวิศวกรรมศาสตร์.
- ประสบการณ์ทำงานมากกว่า 5 ปีขึ้นไป (กรณีจบการศึกษาระดับปริญญาโทขึ้นไป) หรือ ประสบการณ์ทำงานมากกว่า 7 ปีขึ้นไป (กรณีจบการศึกษาระดับปริญญาตรี).
- มีทักษะการพัฒนาธุรกิจ ความรู้ด้านบริหารธุรกิจ การเงิน การตลาด การวิเคราะห์โครงการ.
- หากมีประสบการณ์ในการพัฒนาธุรกิจ Non-Oil ด้าน Food & Beverage, Fast Fit, Health Care, Property/Retail Management หรือ Oil ด้าน Gas Station, Industrial Trade, Oil Logistics, Lubricants จะได้รับการพิจารณาเป็นพิเศษ..
ทักษะ:
eCommerce, Business Development, Market Research, English
ประเภทงาน:
งานประจำ
เงินเดือน:
สามารถต่อรองได้
- Performance strategy & execution: develop subcategory strategy based on various data points, derive action plans and execute with team members to monitor and improve key performance indicators. In charge of China and international new key account seller BD and incubation to ensure overall store commercial operation quality control, mainly including the logistic performance, business risk control, buyer experience maintains.
- Assortment planning & merchandising: develop category knowledge in terms of assortme ...
- Sellers management: manage relationships with the seller communities with a particular focus on top sellers, acting as a business advisor to ensure their sustainable growth and contribution to the subcategory, as well as working closely with the vendor acquisition team to acquire and groom new sellers to grow strategic assortment within the subcategory.
- Marketing & onsite management: working closely with cross-functional teams including traffic and marketing teams to plan for campaigns as per the identified assortment and growth direction of the subcategory and manage onsite merchandising and deal hunting from the sellers.
- Bachelor s Degree or above.
- At least 2+ years of of ecommerce experience, business development, or market research.
- Proficient in Chinese & English speaking and writing skill. Have HSK test is a great plus.
- Strong analytical skills with systematic and structured thinking.
- Excellent negotiation and problem-solving skills.
- Ability to work in a fast-paced and dynamic cross-functional environment.
ทักษะ:
CPA, Excel, Power point
ประเภทงาน:
งานประจำ
เงินเดือน:
สามารถต่อรองได้
- รวบรวมและวิเคราะห์ข้อมูลทางการเงินจากบริษัทย่อย.
- จัดทำและตรวจสอบงบการเงินรวมให้เป็นไปตามมาตรฐานบัญชี (IFRS, GAAP).
- ปรับปรุงและตัดรายการระหว่างบริษัท (Elimination & Adjustments).
- การวิเคราะห์และรายงานทางการเงิน.
- วิเคราะห์งบการเงินรวมเพื่อให้ผู้บริหารสามารถตัดสินใจได้อย่างแม่นยำ.
- จัดทำรายงานเปรียบเทียบผลประกอบการรายเดือน ไตรมาส และปี.
- ตรวจสอบความถูกต้องของตัวเลขและรายการทางบัญชี.
- การบริหารและควบคุมระบบบัญชี.
- ประสานงานกับบริษัทย่อยและหน่วยงานที่เกี่ยวข้องในการจัดทำงบการเงิน.
- ควบคุมและพัฒนาระบบบัญชีรวมให้มีประสิทธิภาพมากขึ้น.
- ตรวจสอบการบันทึกบัญชีให้เป็นไปตามหลักเกณฑ์ที่กำหนด.
- การทำงานร่วมกับผู้สอบบัญชีและหน่วยงานภายนอก.
- ติดต่อและให้ข้อมูลแก่ผู้สอบบัญชีภายนอก (External Auditors).
- สนับสนุนงานด้านภาษีของบริษัท Holding ในกลุ่มและการปฏิบัติตามกฎหมายทางบัญชี.
- ปริญญาตรี/โท ด้านบัญชี หรือสาขาอื่นที่เกี่ยวข้อง.
- มีประสบการณ์อย่างน้อย 5 ปี ในด้านที่เกี่ยวข้อง.
- หากมี มีประสบการณ์ในการจัดทำงบการเงินรวม และ CPA จะได้รับการพิจารณาเป็นพิเศษ.
- มีทักษะในการใช้ Excel, Power Point.
ทักษะ:
ETL, Python, TensorFlow
ประเภทงาน:
งานประจำ
เงินเดือน:
สามารถต่อรองได้
- Develop and deploy machine learning models for demand forecasting, customer segmentation, pricing optimization, and inventory management.
- Work with large-scale datasets and implement efficient feature engineering pipelines to enhance model performance.
- Use PySpark to process and analyze large datasets in a distributed computing environment.
- Collaborate with data engineers to build scalable data pipelines and ensure data quality.
- Implement MLOps best practices for model deployment, monitoring, and retraining in production.
- Design ETL workflows for preprocessing and transforming structured and unstructured data.
- Communicate findings and recommendations to business stakeholders in a clear and actionable manner.
- Stay up to date with the latest advancements in AI, machine learning, and data engineering.
- 5+ years of experience in data science, machine learning, or applied AI.
- Strong programming skills in Python (pandas, NumPy, scikit-learn, TensorFlow/PyTorch).
- Hands-on experience with PySpark for big data processing and analysis.
- Experience with SQL for querying large datasets efficiently.
- Familiarity with cloud platforms (AWS, GCP, Azure) and distributed computing frameworks.
- Knowledge of MLOps practices (model versioning, CI/CD for ML, monitoring, automation).
- Experience working with ETL workflows and data engineering pipelines.
- Strong understanding of statistical analysis, time-series forecasting, and clustering techniques.
- Excellent problem-solving and communication skills, with the ability to translate data insights into business value.
- Experience in the retail industry or working with e-commerce/consumer data.
- Familiarity with tools like Databricks, Airflow, MLflow, and Docker/Kubernetes.
- Experience with deep learning frameworks for NLP or computer vision.
- CP AXTRA | Lotus's
- CP AXTRA Public Company Limited.
- Nawamin Office: Buengkum, Bangkok 10230, Thailand.
- By applying for this position, you consent to the collection, use and disclosure of your personal data to us, our recruitment firms and all relevant third parties for the purpose of processing your application for this job position (or any other suitable positions within Lotus's and its subsidiaries, if any). You understand and acknowledge that your personal data will be processed in accordance with the law and our policy. .
ทักษะ:
SAP, SAP FI, Production planning
ประเภทงาน:
งานประจำ
เงินเดือน:
สามารถต่อรองได้
- Lead a team of internal and external SAP PP/QM Analysts and the functional design for company and subsidiary projects BAU and Support.
- Ability to architect solutions in the SAP PP/QM functions by seamlessly integrating with other modules like SAP FI,CO, SD, MM, BPC and BW functions.
- Be able to analyze, design and configurate SAP PP/QM solution.
- Provide knowledge and understanding of SAP production planning concepts and process flows that they are able to both understand existing configuration and solutions and also design new solutions for new requirements.
- Providing support, advice and guidance to the customer support team on SAP-related issues.
- Communicate effectively with external clients and internal teams to deliver functional requirements to meet business needs.
- Coordination of RFI/RFPs with third parties, project and internal IT procurement team.
- Work with key users and department heads on requirements gathering.
- Assesses, researches and analyzes business and system needs, exploring alternative options to recommend technology solutions and designs that meet sponsor needs including component reusability, data sharing and security.
- Coordinate with stakeholders and users on User Acceptance Testing and sign-off.
- Provide critical thought, give input, and oversee on strategic supply chain initiatives.
- Identify and drive continuous improvement opportunities to streamline processes and improve accuracy and efficiency within operations.
- Ability to lead the team in or out of departmental activities including communication instructions, training, achieving goals, quick turnarounds for tasks requested by senior management, progressive discipline, and performance evaluation.
- Ensure proper integration of PP/QM functionalities with other SAP modules.
- Manages all costing for each project.
- Works with development teams and project managers as an SME to consult on new initiatives, then completes production implementation - including knowledge transfer and documentation.
- Knowledge of Handling unit Management Batch Search strategy Master data High level of initiative for ensuring continuous improvement of existing SAP.
- BA/BS degree in Finance, Computer Science, MIS or another related field.
- ERP (SAP) system experience strongly preferred, Strong SAP PP/QM skills and experience is strongly preferred.
- Highly experienced SAP manufacturing.
- At least three year's SAP implementation and configuration experience - must have participated in at least one full implementation in the role of SAP FICO configuration consultant.
- Detailed knowledge of SAP Procure to Pay, Materials Management and Inventory Management processes, hands on experience in configuration of P2P and IM processes, including Vendor Management, Product Life Cycle Management, Inventory best practices.
- Intercompany trading scenarios (STO, direct shipment, 3rd party).
- Experience interfacing with internal and external business partners.
- Experience in SAP configuration and module working knowledge in PP and QM.
- Knowledge of QM inspection lot processes and QM notifications.
- Good knowledge on logistics attributes in Material master and vendor master.
- Prior hands on experience with Sales and Operation planning, Master Production Scheduling and MRP beneficial.
- Work with various businesses across all lines of business (Finance, Sales, Customer Service, HR, Order Management, MFG, Supply Chain) users to define and implement business process improvements using SAP ECC 6.0 and S/4 HANA.
ทักษะ:
Oracle, Java, SQL, English
ประเภทงาน:
งานประจำ
เงินเดือน:
สามารถต่อรองได้
- Be familiar with oracle technology such Oracle DB and related programming language such as java, pl/sql and linux script.
- Be advantage if you are familiar with Oracle Retail Suite or Oracle ERP.
- Create data flow/system flow/detail design to make the team clear in backlog and acceptance criteria.
- Create related documents as knowledge management for team and stakeholder.
- Co-ordinate with stakeholder (Business Team/Developer/QA/TPM/DEVOPS/Solution Architect) to solve any blocking issue in software development.
- Understand and adapt testing methodology and work with QA team to delivery software with Quality.
- Understand and adapt Agile methodology in software development.
- Understand and adapt CI/CD and be familiar with DEVOPS tools in software development.
- Work with L1/L2 support team as L3 to solve any production issues within SLA.
- Be senior team member and work with teammate to delivery software with quality. And be consultant for Jr. team member to solve some blocking problems.
- Bachelor s in Computer Science or related field.
- 6+ years in Developer/System Analyst with leadership experience.
- Proficient in Oracle Database, PL/SQL, Java, and Linux scripting. Experience with Oracle Retail Suite or Oracle ERP/Oracle Retail is a strong advantage.
- Skilled in creating data flows, system flows, and detailed design documentation to clarify requirements and acceptance criteria for the team.
- Strong coordination skills to work effectively with business teams, developers, QA, DevOps, and Solution Architects to resolve development issues and remove blockers.
- Experienced in Agile methodology.
- Ability to serve as L3 support for production issues, providing mentorship to junior team members and ensuring high-quality delivery.
- Good English proficiency.
- CP AXTRA | Lotus's
- CP AXTRA Public Company Limited.
- Nawamin Office: Buengkum, Bangkok 10230, Thailand.
- By applying for this position, you consent to the collection, use and disclosure of your personal data to us, our recruitment firms and all relevant third parties for the purpose of processing your application for this job position (or any other suitable positions within Lotus's and its subsidiaries, if any). You understand and acknowledge that your personal data will be processed in accordance with the law and our policy. .
ทักษะ:
Finance, Budgeting, Accounting, English
ประเภทงาน:
งานประจำ
เงินเดือน:
สามารถต่อรองได้
- Lead finance and planning analysts for Permanent lease (covering fixed and variable), and act as the interface between finance and the business unit using financial information and analyses to pinpoint opportunity areas to support senior managements decision-making.
- Own the business planning cycle (forecasting, budgeting, and variance analysis) including building and updating the financial planning models, identification of KPIs and key business drivers, risks, and opportunities.
- Develop and understand business cases as well as the economic benefits for new investments such as capital requests and new business models.
- Track and analyze investment plan and results. Understand the key drivers and provide recommendations for scenarios or improvement actions for future investments or changes to current investments.
- Constructively challenge and recommend changes to the business underpinned by sound financial expertise.
- Identifies and pro-actively highlights risks and works to mitigate issues. And Work closely with senior management to understand the wider market and external factors to drive BU's performance.
- Overlays commercial acumen on analysis performed to drive insights and decision support.
- Any ad-hoc projects as required.
- Bachelors or Masters degree in Finance and Accounting.
- At least 6 year experiences in Finance Analyst, accounting or related fields.
- Experience in retail business is a plus.
- Good command of spoken and written English and strong Excel/database skills.
- Strong analytical skill, detailed and results oriented problem solving, interpersonal, and leadership skills.
- Strong communication, negotiation and team management.
- Result-oriented with abilities to work well under ambiguity, changes, pressure and tight deadlines.
- Effective team management.
- CP AXTRA | Lotus's
- CP AXTRA Public Company Limited.
- Nawamin Office: Buengkum, Bangkok 10230, Thailand.
- By applying for this position, you consent to the collection, use and disclosure of your personal data to us, our recruitment firms and all relevant third parties for the purpose of processing your application for this job position (or any other suitable positions within Lotus's and its subsidiaries, if any). You understand and acknowledge that your personal data will be processed in accordance with the law and our policy. .
ประสบการณ์:
5 ปีขึ้นไป
ทักษะ:
Python, ETL, Compliance
ประเภทงาน:
งานประจำ
เงินเดือน:
สามารถต่อรองได้
- Design and implement scalable, reliable, and efficient data pipelines for ingesting, processing, and storing large amounts of data from a variety of sources using cloud-based technologies, Python, and PySpark.
- Build and maintain data lakes, data warehouses, and other data storage and processing systems on the cloud.
- Write and maintain ETL/ELT jobs and data integration scripts to ensure smooth and accurate data flow.
- Implement data security and compliance measures to protect data privacy and ensure regulatory compliance.
- Collaborate with data scientists and analysts to understand their data needs and provide them with access to the required data.
- Stay up-to-date on the latest developments in cloud-based data engineering, particularly in the context of Azure, AWS and GCP, and proactively bring new ideas and technologies to the team.
- Monitor and optimize the performance of data pipelines and systems, identifying and resolving any issues or bottlenecks that may arise.
- Bachelor s or Master s degree in Computer Science, Data Science, or a related field.
- Minimum of 5 years of experience as a Data Engineer, with a strong focus on cloud-based data infrastructure.
- Proficient programming skills in Python, Java, or a similar language, with an emphasis on Python.
- Extensive experience with cloud-based data storage and processing technologies, particularly Azure, AWS and GCP.
- Familiarity with ETL/ELT tools and frameworks such as Apache Beam, Apache Spark, or Apache Flink.
- Knowledge of data modeling principles and experience working with SQL databases.
- Strong problem-solving skills and the ability to troubleshoot and resolve issues efficiently.
- Excellent communication and collaboration skills to work effectively with cross-functional teams.
- Location: True Digital Park, Bangkok (Hybrid working).
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