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ประเภทงาน:
งานประจำ
เงินเดือน:
สามารถต่อรองได้
Greenline Synergy provides the design to simplify, standardize, and enhance the accessibility of the organization's data. Also cover the policies, procedures, standards, on how data is collected, stored and used on both online and offline infrastructure. This will improve the hospital capability to expand the service outside the hospital itself.
ประเภทงาน:
งานประจำ
เงินเดือน:
สามารถต่อรองได้
- Manage the Site Acquisition team to ensure the expansion of Mini Big C branches aligns with the company s strategy and both short- and long-term goals.
- Build networks and foster relationships with various business organizations to identify B2B opportunities for Mini Big C branch expansion.
- Coordinate with relevant departments to ensure the Mini Big C branch expansion proceeds according to the set plans.
- Present investment proposals for Mini Big C branch expansion to the Investment Committee (Dev.COM).
- Oversee lease contracts (negotiate rent reductions, renew leases, terminate leases to close branches, etc.) for operating Mini Big C branches to align with company objectives.
- Develop and enhance team capabilities to support the company s future growth.
- Bachelor's degree in real estate, property management, finance, business administration, or a related field is often preferred.
- At least 5 years of experience in site acquisition or property sourcing.
- Experience overseeing the acquisition process, from identifying properties to finalizing deals.
- Strong communication skills are crucial for dealing with property owners, investors, or stakeholders during the acquisition process.
- Ability to assess property value, location benefits, and investment potential.
- Understanding of property financing options, mortgage structures, and investment returns.
- Knowledge of local and zoning laws, including familiarity with the legal landscape governing property rights, environmental restrictions, and zoning regulations.
ประเภทงาน:
งานประจำ
เงินเดือน:
สามารถต่อรองได้
- บริหารพนักงาน และดูแลร้านบิ๊กซีมินิให้ได้คุณภาพตามเป้าหมายที่บริษัทกำหนด.
- เพศชาย/หญิง
- อายุ 24 - 50 ปี ทำงานเป็นกะได้ รักงานบริการ
- วุฒิ ม.3 ขึ้นไป
- ต้องมีประสบการณ์ด้านร้านสะดวกซื้อ 1 ปีขึ้นไป
- เงินเดือนเริ่มต้น 20,000 บาท + ค่าอาหาร 550 บาท + ค่ากะดึก + ค่าอื่น ฯ.
ประเภทงาน:
งานประจำ
เงินเดือน:
สามารถต่อรองได้
- บริหารพนักงาน และดูแลร้านบิ๊กซีมินิให้ได้คุณภาพตามเป้าหมายที่บริษัทกำหนด.
- เพศชาย/หญิง
- อายุ 24 - 50 ปี ทำงานเป็นกะได้ รักงานบริการ
- วุฒิ ม.3 ขึ้นไป
- ต้องมีประสบการณ์ด้านร้านสะดวกซื้อ 1 ปีขึ้นไป
- เงินเดือนเริ่มต้น 20,000 บาท + ค่าอาหาร + ค่ากะดึก + ค่าอื่น ฯ.
ประเภทงาน:
งานประจำ
เงินเดือน:
สามารถต่อรองได้
- บริหารพนักงาน และดูแลร้านบิ๊กซีมินิให้ได้คุณภาพตามที่บริษัทกำหนด.
- เพศชาย/หญิง
- อายุ 20 - 45 ปี ทำงานเป็นกะได้ รักงานบริการ
- วุฒิ ม.3 - ม.6 (มีประสบการณ์) ปวส - ปริญญาตรี (ไม่จำเป็นต้องมีประสบการณ์)
- วุฒิ ป.ตรี ขึ้นไป ไม่จำเป็นต้องมีประสบการณ์ หากต่ำกว่าวุฒิ ป.ตรี ต้องมีประสบการณ์ด้านร้านสะดวกซื้อมาก่อน
- ผ่านประสบการณ์ค้าปลีก และ สามารถโยกย้ายได้ภายใน จังหวัด จะพิจารณาเป็นพิเศษ
- เงินเดือนเริ่มต้น 14,000 บาท + ค่าอาหาร 550 บาท + ค่ากะดึก + ค่าอื่น ฯ.
ทักษะ:
Research, Automation, Statistics
ประเภทงาน:
งานประจำ
เงินเดือน:
สามารถต่อรองได้
- Work on Data Architecture. They use a systematic approach to plan, create, and maintain data architectures while also keeping it aligned with business requirements.
- Collect Data. Before initiating any work on the database, they have to obtain data from the right sources. After formulating a set of dataset processes, data engineers store optimized data.
- Conduct Research. Data engineers conduct research in the industry to address any issues that can arise while tackling a business problem.
- Automate Tasks. Data engineers dive into data and pinpoint tasks where manual participation can be eliminated with automation.
- Automate Tasks. Data engineers dive into data and pinpoint tasks where manual participation can be eliminated with automation.
- Bachelor Degree in IT, computer science, statistics, mathematics, business, or related field.
- Minimum of 3 years' experience in data engineer roles.
- Experience in the data analytics lifecycle including problem identification, measurement/matrix, exploratory data analysis and data insight presentation.
- Experience with data tools and languages like CLOUD, Python, Java similar.
- Experience with data processing, ETL and workflow and messaging queue like Kafka.
- Data Warehousing.
- Data Structure.
- ETL Tools Programming Languages (Python, Java, Pyspark).
ประเภทงาน:
งานประจำ
เงินเดือน:
฿30,000 - ฿40,000, สามารถต่อรองได้
- วิเคราะห์กระบวนการทางธุรกิจ ผ่านการค้นคว้าข้อมูล เก็บรวมรวมความต้องการ (As Is Requirement) ของผู้ใช้งาน ทำความเข้าใจ ศึกษากระบวนการ (Business Process) ตลอดจนข้อกำหนดทางธุรกิจ (Business Rules) ของหน่วยงาน และหาความรู้เกี่ยวกับธุรกิจที่เกี่ยวข้อง เพื่อทำเป็นรายงานและ Dashboard สิ่งที่ต้องพัฒนาเพิ่มเติม (Gap Analysis) ขอบเขตการทำงาน (Scope of Work) เพื่อหาวิธีการแก้ปัญหา หรือเพิ่มโอกาสทางธุรกิจด้วยเครื่องมือที่เหมาะสม.
- Key Responsibilities (หน้าที่ความรับผิดชอบหลัก).
- วิเคราะห์ข้อมูลจากภายในและภายนอกองค์กร (Internal & External Data Analysis).
- เก็บรวบรวมและวิเคราะห์ข้อมูลที่ส่งผลกระทบต่อองค์กร จากหลายแหล่ง ทั้งภายในและภายนอก ทั้งในด้าน Finance & Non Finance รวมถึง เหตุการณ์ที่เกิดขึ้นอันอาจจะกระทบความเป็นอยู่ของพนักงาน.
- วิเคราะห์พฤติกรรม/เหตุการณ์ และคาดการณ์โอกาสหรือผลอันอาจจะกระทบต่อบริษัทและพนักงาน.
- ออกแบบและทำการทดสอบวิธีใช้งานข้อมูลและเทคนิคการวิเคราะห์ใหม่ๆ เพื่อนำเสนอมุมมองทางธุรกิจใหม่ๆให้แก่ผู้ที่เกี่ยวข้อง
- การจัดทำรายงานและ Dashboard.
- จัดทำรายงานสรุปข้อมูลที่เข้าใจง่าย และสร้าง Dashboard ให้ผู้บริหาร.
- นำเสนอผลการวิเคราะห์เพื่อประกอบการตัดสินใจเชิงกลยุทธ์.
- สนับสนุนการทำงานของทีมงานในด้านข้อมูล.
- การสร้าง ดูแล และ อัปเดตฐานข้อมูล และการประมวลผลข้อมูลขนาดใหญ่.
- พัฒนาและใช้งานระบบอัตโนมัติ ในการทำงานกับฐานข้อมูล.
- งานอื่นๆที่เกี่ยวข้องเพื่อสนับสนุนการทำงานของทีมวิเคราะห์ข้อมูล.
ประเภทงาน:
งานประจำ
เงินเดือน:
สามารถต่อรองได้
Greenline Synergy provides Data Governance service to BDMS hospitals to ensure data is secure, private, accurate, available, and usable. It includes the actions people must take, the processes they must follow, and the technology that supports them throughout the data life cycle.
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.
ทักษะ:
Cloud Computing, SAP, Linux
ประเภทงาน:
งานประจำ
เงินเดือน:
สามารถต่อรองได้
- Acting as the key of Cloud technical aspect for the consulting team to provide the technical consulting to both internal and external customers.
- Design Cloud solution architecture in response to the client s requirement.
- Provide advisory consulting service to the client regarding the True IDC Consulting practices.
- Create Cloud technical requirements to the client s migration plan.
- Experience of designing and implementing comprehensive Cloud computing solutions on various Cloud technologies e.g. AWS, GCP.
- Experience in building multi-tier Service Oriented Architecture (SOA) applications.
- Experience in SAP Cloud Infrastructure in term of architecture & design in AWS, GCP public cloud.
- Knowledge of Linux, Windows, Apache, IIS, NoSQL operations as its architecture toth e Cloud.
- Knowledge of Containerization administrative for both Windows and Linux technologies.
- Knowledge of key concerns and how they are addressed in Cloud Computing such as security, performance and scalability.
- Good in customer objective handling & Good in customer presentation skill.
- Nice to have.
- UNIX shell scripting.
- AWS Certified Solution Architect - Associate.
- GCP Certified Solution Architect - Associate.
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.
ประเภทงาน:
งานประจำ
เงินเดือน:
สามารถต่อรองได้
- ออกแบบและดำเนินการวิเคราะห์ข้อมูลเชิงลึก เพื่อสนับสนุนกลยุทธ์องค์กร และเพิ่มประสิทธิภาพการดำเนินงาน.
- สร้าง Dashboard และรายงานแบบ Interactive โดยใช้ Power BI หรืออื่นๆ.
- สร้าง Framework สำหรับการวิเคราะห์ข้อมูลแบบ End-to-End ตั้งแต่การเก็บข้อมูล ไปจนถึงการนำเสนอผลลัพธ์.
- สร้างแบบจำลองทางสถิติ (Predictive Model) เช่น Sales Demand Forecasting, Fuel Consumption Trends, Customer Lifetime Value.
- ทำงานร่วมกับธุรกิจ ในการแปลปัญหาทางธุรกิจให้เป็นโจทย์การวิเคราะห์ข้อมูล พร้อมนำเสนอ Insight ที่มี Impact.
- ร่วมกำหนด KPI และ Data Strategy กับหน่วยงานธุรกิจ.
- สื่อสารผลการวิเคราะห์ให้เข้าใจง่าย พร้อมข้อเสนอแนะเชิงกลยุทธ์ที่นำไปปฏิบัติได้.
- ปริญญาตรีขึ้นไปในสาขา Data Science, Statistics, Computer Science, Business Analytics หรือสาขาอื่นที่เกี่ยวข้อง.
- มีประสบการณ์อย่างน้อย 2-5 ปีในด้าน Data Analytics หรือ Data Science.
- มีประสบการณ์ด้าน Data Visualization และสามารถนำเสนอข้อมูลได้อย่างมีประสิทธิภาพ.
- มีทักษะการเขียนโปรแกรม เช่น Python, R, SQL และเครื่องมือ BI เช่น Power BI, Tableau หรือใกล้เคียง.
- มีทักษะการสื่อสารและการคิดเชิงวิเคราะห์ (Analytical Thinking) ที่ยอดเยี่ยม.
- เข้าใจแนวคิด Machine Learning และสามารถใช้ Libraries เช่น scikit-learn, XGBoost, TensorFlow, PyTorch ได้.
- มีความรู้ความเข้าใจเกี่ยวกับการทำ Forecasting, Clustering และ Predictive Analytics.
- หากมีประสบการณ์กับ Cloud Platform (เช่น AWS, GCP, Azure) จะพิจารณาเป็นพิเศษ.
ประเภทงาน:
งานประจำ
เงินเดือน:
สามารถต่อรองได้
- Analyze client business processes and value chains, and benchmark client performance against data & AI leaders to identify opportunities to drive business value.
- Lead and contribute to the development of AI strategy and roadmap, including use case identification, business case development, and prioritization.
- Design the target operating model for Data & AI Center of Excellence.
- Conduct capabilities assessments regarding data & AI readiness and maturity.
- Collaborating with industry experts and client stakeholders to define benchmark-informed KPIs and success metrics.
- Creating executive-level deliverables including vision statements, maturity assessments, and transformation blueprints.
- 2-5 years of experience in business or technology strategy.
- Business case development.
- Operating model design.
- Capabilities- & Maturity Assessment.
- Strong client-facing skills, structured thinking, presentation skills and ability to drive workstream independently.
- Foundational understanding of how Data & AI helps address key business pain points regardless of industry.
- Experience in agri-business, supply chain, or industrial operations is highly desirable.
- Experience in a previous high impact strategy consulting role is highly desirable.
- This role is open for both Thai Nationals and Foreigners residing in Thailand.
ทักษะ:
Big Data, Hive, SAS
ประเภทงาน:
งานประจำ
เงินเดือน:
สามารถต่อรองได้
- Experience migrating from on-premise data stores to cloud solutions.
- Knowledge of system design and platform thinking to build sustainable solution.
- Practical experience with modern and traditional Big Data stacks (e.g BigQuery, Spark, Databricks, duckDB, Impala, Hive, etc).
- Experience working with data warehouse solutions ELT solutions, tools, and techniques (e.g. Airflow, dbt, SAS, Matillion, Nifi).
- Experience with agile software delivery and CI/CD processes.
- Bachelor's or Master's degree in computer science, statistics, engineering, or a related field.
- At least 3 years of experience in data analysis and modeling.
- Proficiency in Python, and SQL.
- Experience with data visualization tools such as Tableau, Grafana or similar.
- Familiarity with cloud computing platforms, such as GCP, AWS or Databricks.
- Strong problem-solving skills and the ability to work independently as well as collaboratively.
- Growth Potential: This role offers a clear path to advance into machine learning and AI with data quality and management, providing opportunities to work on innovative projects and develop new skills in these exciting fields..
- Contact: [email protected].
- 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:
SQL, Python, SAS
ประเภทงาน:
งานประจำ
เงินเดือน:
สามารถต่อรองได้
- Manage and plan the data direction and strategy for business need.
- Drive successful of data insight initiatives and effective collaboration with stakeholders.
- Analyze business requirements and identify business problems into an analytics question and gain a deep understanding of models and algorithms capability and limitations.
- Create reports and dashboards based on data mining, evaluation, analysis, and visualization.
- Collaborate with key stakeholders including the Executive, Business Units, Data and IT teams to identify opportunities for leveraging company data to drive business solutions.
- Coordinate with the software developers, data engineers and data scientists to oversee the delivery of analytics solutions and formulate strategy for technology adoption and impact measurement.
- 5 years of experience as a data analyst or business data analyst.
- Advanced knowledge in SQL and experience working with relational databases, query authoring (SQL) as well as working familiarity with a variety of databases.
- Experience with data studio, Big Query,model,generative AI.
- Experience with R, Python, SAS, SPSS, other analytic tools.
- Experience supporting and working with cross-functional teams in a dynamic environment.
ประสบการณ์:
4 ปีขึ้นไป
ทักษะ:
Finance, Accounting, Business Development
ประเภทงาน:
งานประจำ
เงินเดือน:
สามารถต่อรองได้
- Act as internal consultant to support strategy development and lead execution of key strategic projects.
- Take ownership of new partnership development, identify, develop and execute plan to align with company strategy.
- Work with head of department to plan and allocate partnership budget across channels.
- Develops and maintains productive working relationships with team members.
- Tracking business performance and create monthly summary report.
- Bachelor s degree in finance, Accounting, Business, IT, Engineer or any related field.
- At least 4 years experience in Business development, Strategic Planning, Financial Planning or related field.
- Experience in consultancy companies Big4 is a plus.
- Customer orientation, self-driven, strong negotiation skills and excellent interpersonal.
- Creative problem solver.
- High proficiency with Microsoft Excel, PowerPoint, understanding of financial.
- report is a plus.
- Location: True Digital Park, Punnawithi.
ทักษะ:
Big Data, Hive, SAS
ประเภทงาน:
งานประจำ
เงินเดือน:
สามารถต่อรองได้
- System Design: Knowledge of system design and platform thinking to build sustainable solutions.
- Big Data Experience: Practical experience with modern and traditional Big Data stacks (e.g., BigQuery, Spark, Databricks, duckDB, Impala, Hive).
- Data Warehouse Solutions: Experience working with data warehouse solutions, ELT tools, and techniques (e.g., Airflow, dbt, SAS, Nifi).
- API Development: Experience with API design to facilitate integration of LLMs with other systems.
- Prompt Engineering: Skills in designing sequential tasks for LLMs to achieve efficient and accurate outputs.
- Agile Methodologies: Experience with agile software delivery and CI/CD processes.
- Education: Bachelor's or Master's degree in Computer Science, AI, Engineering, or a related field.
- Experience: At least 3 years of experience in data engineering and modeling.
- Technical Skills: Proficiency in Python, experience with LLM frameworks (e.g., LangChain), and familiarity with cloud computing platforms.
- Cloud Computing: Familiarity with cloud computing platforms, such as GCP, AWS, or Databricks.
- Problem-Solving: Strong problem-solving skills with the ability to work independently and collaboratively.
- Growth Potential: This role offers a clear path to advance into AI engineering, providing opportunities to work on innovative projects and develop new skills in AI transformation and machine learning..
- 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:
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.".
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:
Compliance, Risk Management
ประเภทงาน:
งานประจำ
เงินเดือน:
สามารถต่อรองได้
- Develop & Implement Data Governance Framework - Establish policies, standards, and best practices for data management.
- Ensure Data Quality & Integrity - Monitor and improve data accuracy, consistency, and completeness.
- Regulatory Compliance & Risk Management - Ensure adherence to data privacy laws (e.g., PDPA, GDPR) and mitigate risks.
- Define Data Ownership & Stewardship - Assign roles and responsibilities for data management across the organization.
- Manage Data Lineage & Metadata - Maintain a data catalog, track data sources, and ensure proper documentation.
- Gather & Translate Business Requirements - Convert business needs into technical specifications for development teams.
- Document functional and non-functional requirements for data and technology projects.
- System & Process Improvement - Identify gaps in existing systems and workflows and recommend improvements.
- Stakeholder Communication - Act as a bridge between business users and IT teams, simplifying complex technical concepts.
- Compliance & Security Considerations - Ensure data solutions align with governance policies and regulatory requirements.
- Bachelor s or Master s degree in Data Science, Information Management, Computer Science, Business Administration, or a related field.
- Certifications in Data Governance (e.g., DAMA CDMP), Data Privacy (e.g., CIPP/E, CIPM), or Risk Management are a plus.
- Experience in data governance, data management, or related fields.
- Skills in a leadership or managerial role, overseeing data governance initiatives.
- Proven track record in developing and implementing data governance frameworks, policies, and standards.
- Hands-on experience in data quality management, metadata management, and data lineage tracking.
- Strong background in regulatory compliance (e.g., PDPA, GDPR, CCPA) and risk management.
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