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Skills:

Assurance, Data Analysis, English

Job type:

Full-time

• จัดทำและวิเคราะห์รายได้ Enterprise Service เพื่อให้เห็นถึงแนวโน้มของ Product and Service ใน AIS Group เพื่อให้มั่นใจได้ว่า การจัดเก็บรายได้, Promotion Package and New Service ที่เกิดขึ้น สามารถดำเนินงานได้อย่างถูกต้องครบถ้วน เป็นไปตาม Business Condition ที่บริษัทกำหนด.
• หาแนวทางการตรวจสอบ กำหนด QA ที่เหมาะสม เพื่อลดการสูญเสียของรายได้ ลดความผิดพลาดที่อาจเกิดขึ้นในการทำงาน ของ Line Operation และ Share knowledge ดังกล่าวเพื่อเป็นการสนับสนุนให้เกิด Revenue Assurance ที่เข็มแข็ง.
• ตรวจสอบความครบถ้วน ถูกต้องของการคำนวนค่าบริการ / Promotion Package /Offering ต่างๆ สำหรับลูกค้าในกลุ่มองค์กร.
• สอบทาน การคำนวณค่าบริการ Postpaid Voice and IDD, IR Service ในระบบ RBM สามารถดำเนินการได้อย่างถูกต้องครบถ้วน ตรงตามอัตรา และเงื่อนไขที่บริษัทกำหนด สามารถดำเนินการได้อย่างถูกต้องครบถ้วน ไม่มีสิ่งผิดปกติที่ส่งผลต่อการสูญเสียของรายได้ในรูปแบบ Real Loss /Opportunity Loss.
• ติดต่อ ประสานงาน และ ติดตามผล เมื่อพบสิ่งผิดปกติที่มีผลต่อการสูญเสียรายได้ ดำเนินการหาสาเหตุของสิ่งผิดปกติที่เกิดขึ้น และประสานงานไปยังหน่วยงานที่เกี่ยวข้อง ให้ดำเนินการแก้ไข เพื่อช่วยลดการสูญเสียของรายได้ (Voice service).
• นำข้อมูล จากแหล่งต่างๆที่อยู่ใน Scope งานที่ตนรับผิดชอบมาทำการวิเคราะห์ โดยใช้ Data Analytic skills สะท้อนให้เห็นถึง แนวโน้ม, ผลการดำเนินงาน, ประสิทธิภาพและประสิทธิผล ของ Product and Service และค้นหาสิ่งผิดปกติที่อาจส่งผลต่อการสูญเสียของรายได้ในรูปแบบ Real Loss/Opportunity Loss & Fraud พร้อมทำการตรวจสอบและ Monitor จัดทำ Analysis Report เพื่อเป็นข้อมูล Support Management ในการวางกลยุทธ์ และ ประเมินความเสี่ยงในด้านต่างๆ.
• ปฏิบัติงานอื่น ๆ ตามที่ผู้บังคับบัญชามอบหมาย.

Skills:

Data Analysis, Research, Excel

Job type:

Full-time

• Develop and oversee the implementation of data science and analysis strategies that align with the company's business objectives.
• Lead the development of predictive models and algorithms to drive data-driven decision-making across the organization.
• Lead a team of data analysts and scientists to generate insights that are crucial for business decision-making.
• Conduct deep dives into data to enhance the company's understanding of customer behaviors and identify business opportunities.
• Take ownership of reports and dashboards, ensuring they provide actionable insights to the customer team and other business stakeholders.
• Collaborate with business stakeholders to analyze team activities and support the decision-making process.
• Work closely with the BI teams for in-depth data analysis to improve company understanding.
• Conduct hypothesis testing and lead the rollout of effective customer initiatives.
• Foster collaboration with various business stakeholders to align customer strategies with overall business objectives.
• Bachelor s degree or higher in applied mathematics, economics, computer science, or data analytics.
• At least 7+ years of experience in data science, with a strong understanding of wholesales business and customer research integration with business planning.
• Proficiency in large-scale data analysis, including customer, hierarchy, and transactional data.
• Advanced data-processing skills with tools such as Excel, Tableau, Power BI, and statistical analysis tools (e.g., Python, SAS, or R).
• Experience in digital customer experience in a high-growth, fast-paced environment.
• Familiarity with Agile methodology is a plus.
• Investigative mindset with the ability to deep dive into data to understand the specific customer case behind a number.
• Strong will to learn and develop new approaches to data analysis.
• Self-motivated, well-organized, flexible, and result-oriented.
• Open-minded towards new ways of doing things and continuous improvement.
• Strong analytical and critical thinking skills.
• Ability to apply logic and business acumen to data analysis activities.
• Excellent communication skills with the ability to explain complex data concepts in simple terms.

Experience:

4 years required

Skills:

Data Analysis, English

Job type:

Full-time

• Identify opportunities for process improvement and propose innovative solutions.
• Collaborate with stakeholders to define business requirements and translate them into functional specifications.
• Conduct data analysis to identify trends and insights that drive business decisions.
• Facilitate workshops and meetings to gather requirements and ensure alignment.
• Develop and maintain process documentation and standard operating procedures.
• Job Qualifications:
• Bachelor s degree in Finance, Accounting, Business Administration, or a related field with a minimum of 4 years of experience in Finance related roles.
• Background or experience in Risk (Enterprise/Financial) and Data is a PLUS.
• Proven track record of success in analyzing financial performance, developing financial strategies, and enhancing enterprise value.
• Strong understanding of financial principles, accounting standards, financial modeling techniques, and digital finance solutions (FinTech, Cloud ERP).
• Excellent analytical and problem-solving skills.
• Background with process transition, knowledge transfer, process reengineering, and shared services operating model design and implementation.

Skills:

Research, Tableau, Excel

Job type:

Full-time

• Produce and distribute a daily, weekly and monthly marketing performance dashboard and provide insights or recommendations.
• Monitor and forecast marketing and sales trends.
• Analyze marketing performance to evaluate the effectiveness of campaigns, understand strengths and weaknesses, and offer actionable insights for Financial, Retail, and Payment Services team. Identify strengths and gaps, and provide actionable recommendations to enhance future campaigns.
• Develop and support marketing plans aimed at driving growth in retail services, including sales, transactions, retail income,
• and customer loyalty.
• Work closely with Service/Product owners to design Campaigns and modify KPIs as well as boost new sales and
• transaction growth of NSD Services.
• Customer insight and research, review of competitors and market trend.
• Work with IT to develop Business Intelligent tool and database to support New Service Development Division.
• Campaigns pre and post-performance evaluation, analysis and KPI review reporting.
• Do data cleansing of many sources of data /report consolidation before doing analysis.
• Training a team to effectively use Tableau or other reporting tools, enhancing their ability to make data-driven decisions
• and contribute to business growth.
• Job Qualifications:
• Bachelor s or Master s Degree in Business Administration (Marketing) or related field.
• at least 3-5 years in Promotion campaign performance evaluation / Customer Behavior Analysis preferable with experience in Retail business.
• Have Marketing Information System on customer database management is a plus.
• Have experience in Marketing and promotional campaign planning preferable with Retailer marketing experience.
• Should have strong analytical skills and advance skills in Microsoft Excel, Access or BI tool such as Tableau background.
• Have Experience working collaborative environment.
• Drive to success and interpersonal skills.
• Be able to handle multi-tasks/projects.
• Can Work under pressure and meeting time line.

Skills:

Power BI, Financial Analysis, Data Analysis, English

Job type:

Full-time

• Providing support in relation to business user, data product enhancements and new developments by understanding business requirements.
• Translate business requirements/ problems into BI or data analytics solutions.
• Evaluate business processes, anticipate requirements, uncover or advise areas for business improvement, and implement BI solutions establish performance reporting and management information requirements with the team.
• Analyze performance and collate plans from the Leadership team to support the delivery of the long term plan.
• Consolidating data for reporting and dashboard data updates. And identify patterns and trends in data sets, define new data collection and analysis processes.
• Developing and analytic reports to solve business problems and recommendations based on relevant data to the relevant members of the business. Provide in-sight analysis of financial performance to Financial.
• Leadership teams to improve financial performance and manage our investment.
• Promote strong teamwork within unit, cross-functional teamwork to drive business growth, and process efficiency.
• Deliver ad-hoc analysis and special projects as requested.
• Knowledge of Strong PowerBI, with expertise in DAX and Advance Excel, SQL or Python language is a plus.
• Experience using business intelligence tools (e.g., Power BI).
• Familiarity with ETL processes.
• A demonstrated ability to perform in-depth financial analysis.
• Firm understanding of statistics and databases.
• Expert problem-solving and analytical skills.
• Strong communication skills.
• Ability to work in a fast-paced, deadline-driven environment.
• Collaborative mindset.
• Good English proficiency at reading, writing and speaking.

Experience:

1 year required

Skills:

Database Administration, Human Resource Management, English

Job type:

Full-time

• This position will take care of the Hospitality business.
• Manage accurately all transactions in HRIS e.g. organization chart, PMS, employee movement, report to, company setup.
• Process and advise day-to-day employee time & leave transactions.
• Lead HRIS implementation project.
• Analysis of HR data and generate standard and ad-hoc reports.
• Co-ordinate with the IT department to implement an internal project.
• The ideal candidate should possess the following background.
• Bachelor s degree or higher in any field.
• At least 1-3 years experience in HRIS, data analysis and HRIS implementation project.
• Humatrix experience system is an advantage.
• Practical experience with HR database administration.
• Experience in G-Suite tools is an advantage such as Google form, google sheet.
• Excellent advanced Microsoft Excel and PowerPoint skills are a must.
• The initiative, logical & analysis thinking, service-minded and also problem solving skills.
• Able to work under pressure.

Experience:

5 years required

Skills:

ETL, Data Analysis, SQL, English

Job type:

Full-time

• Analyze and interpret complex data sets to uncover insights and trends that drive business strategy and decision-making.
• Collaborate with cross-functional teams to understand their data needs and provide actionable recommendations.
• Design and maintain dashboards, reports, and visualizations using tools to communicate insights effectively.
• Extract data from various sources, including databases, APIs, and third-party services, ensuring data quality and accuracy.
• Develop and implement data models, ETL processes, and automated reporting solutions to streamline data analysis.
• Stay updated with industry trends and new technologies to enhance the company's data analytics capabilities.
• Participate in data governance initiatives, ensuring compliance with data privacy and security regulations.
• Bachelor's degree in Statistics, Data Science, or a related field; an MBA or advanced degree is a plus.
• Minimum of 5 years of experience in business intelligence or data analysis, preferably in a fast-paced e-commerce environment.
• Proficient in SQL and at least one data visualization tool (e.g., Tableau, Power BI), with a solid understanding of data warehousing concepts.
• Strong analytical skills, with the ability to manipulate, clean, and derive insights from large datasets.
• Effective communicator with excellent presentation skills, capable of translating complex data into simple, actionable insights for non-technical stakeholders.

Skills:

Data Analysis, Business Development, English

Job type:

Full-time

• To build and maintain the information and forecasting system in order to support the company business development.
• To analyze data from various sources and system to develop dashboard for management.
• To identify, share and analyze market trends and changes.
• To develop Market Insight update platform for sharing with various departments of the organization.
• To provide business analysis data and benchmark of key principals to internal and external stakeholders.
• Help managing assigned projects in business development, customer management or any assign by supervise.
• Manage, monitor, and evaluate performance of subordinates to ensure achievement.
• Deliver updates to stakeholders based on analytics.
• Should have good experience in the application of standard software development principles.
• Should be able to work as an independent team member, capable of applying judgment to plan and execute tasks.
• Should also be able to coach, guide and mentor junior members in the team.

Skills:

Python, PHP, Network Programming, English

Job type:

Full-time

• Understand customers complaint, try to find out the root causes by using problem solving skill.
• Propose the new workflow / automatic tool to reduce customers complaint.
• Develop the solution to improve the quality of all fixed broadband services
• Propose new monitoring tool to meet customers' satisfaction (included reporting tool).
• Bachelor or Master degree in IT / COMPUTER ENGINEER
• Minimum of 0-5 years Working experience in Telecommunication company, especially in fixed broadband technology
• Experience in Customer support, Network implementation and Network Quality control
• Experience and knowledge in Unix shell script, Python, Unix shell script, Python, PHP, C#.

Experience:

5 years required

Skills:

Compliance, Budgeting, English

Job type:

Full-time

• Support the Head of Compliance in defining and enacting (e.g. Annual Plan) the strategy and Target Operating Model (TOM) around Privacy.
• Support ongoing management reporting and related tasks for the Privacy team including Budgeting, Collating and reporting KPIs. Collecting of information for management/Group/Committee reporting including KRI, Validating progress against the defined strategy.
• Future planning, oversee to maintain, or provide support in the maintenance of the p ...
• Review Privacy Impact Assessment (PIAs), Third-Party assessment and Data Sharing/Processing Agreement provide comment and support to the business to define remedial actions.
• Oversee to provide support, as required, in handling requests from regulators, individuals, authorities and complainants.
• Escalate and supporting the Head of Compliance for information related to incidents and breaches to further report to the management and regulator as required.
• Set up and participate as a facilitator for the Privacy forums including build Privacy awareness throughout trainings or communications.
• Act as Data Privacy representative to participant any meeting required.
• Baseline Qualifications:
• Bachelor or Master s degree in Law or related fields.
• Minimum 5 years' experience in Compliance or related fields.
• Strong knowledge in Data Privacy would be advantage.
• Life insurance business experience is a plus.
• Able to translate compliance obligation into practical solutions for the businesses.
• Certified CIPM or related certification is an advantage.
• Good command in English both verbal and written.
• Proactive, Open, Caring, Committed, Innovative.

Experience:

3 years required

Skills:

Big Data, Data Warehousing, English

Job type:

Full-time

• Conduct meeting with users to understand the data requirements and perform database design based on data understanding and requirements with consideration for performance.
• Maintain data dictionary, relationship and its interpretation.
• Analyze problem and find resolution, as well as work closely with administrators to monitor performance and advise any necessary infrastructure changes.
• Work with business domain experts, data scientists and application developers to identify data that is relevant for analysis.
• Develop big data solutions for batch processing and near real-time streaming.
• Own end-to-end data ETL/ELT process framework from Data Source to Data warehouse.
• Select and integrate appropriate tools and frameworks required to provide requested capabilities.
• Design and develop BI solutions.
• Hands-on development mentality, with a willingness to troubleshoot and solve complex problems.
• Keep abreast of new developments in the big data ecosystem and learn new technologies.
• Ability to effectively work independently and handle multiple priorities.
• Bachelor degree or higher in Computer Science, Computer Engineering, Information Technology, Management Information System or an IT related field.
• 3+ year's experience in Data Management or Data Engineer (Retail or E-Commerce business is preferable).
• Expert experience in query language (SQL), Databrick SQL, PostgreSQL.
• Experience in BigData Technologies like Hadoop, Apache Spark, Databrick.
• Experience in Python is a must.
• Knowledge in machine/statistical learning, data mining is a plus.
• Experience in Generative AI is a plus.
• Strong analytical, problem solving, communication and interpersonal skills.
• Having good attitude toward team working and willing to work hard.
• Lotus's
• Ek-Chai Distribution System Co., Ltd.
• 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.".

Skills:

Negotiation, Excel

Job type:

Full-time

• To analyze store performance on a daily basis and identify action needed in each store.
• To forecast P&L landing report on a weekly basis.
• To analyze and point out any financial decision taken.
• To analyze high performance items and low performance items with action plan needed.
• To analyze store OOS and formulate action plan.
• To analyze project implementation timeline and performance.
• To coordinate with food place buying team for new supplier registration.
• To follow up and ensure format strategy and store strategy have been implemented on time.
• To support SGM managing the assigned store to meet store target both financial aspects and operational standard aspects (Store Appearance, Product variety, etc.).
• To support SGM responsible for store operations and sales activities in term of communication with HO support departments, (bringing up store request, bringing back information, proposal).
• To support SGM controlling inventory throughout assigned store to maximize in stock conditions while minimizing back stock.
• Over 1 year s work experience.
• Strong analytical skill.
• Bachelor / Master Degree.
• Strong analytical skill, creative problem-solving, Growth mindset, Negotiation, fix the problem, recommendations and presentations.
• Excellent knowledge of MS Excel, PowerPoint, MS Word.

Skills:

Microsoft Office, Excel

Job type:

Full-time

• Control process of supplied and item registration in System are ready for business and measure and monitor all data entered to ensure efficient, accuracy within timeline.
• Ability to develop or simplify workflow process, tools, IM form plus analysis and present/suggest to business improvement basic process and how to use IM Form to buyers for basis requirement to set up in System.
• Coaching and planning direction to team members on efficient, timely completion of t ...
• Providing support for solving daily problems or emergency issues including new business requirements.
• Job Qualifications:
• Bachelor degree of Computer Science, Data Science, Supply Chain Management or Relate filed.
• Have experience 7-10 Years of Data Management, Data Analytics, Data Maintenance,.
• At least 5 years experience in Retails or Wholesale Business.
• Have experience in Item Maintenance, SRD (Space Range Design) would be advantage.
• Strong leadership skills.
• Good analytical & logical thinking, planning, coordination and service minded.
• Proficient in Microsoft Office tools, ** Advanced MS Excel and MS
• Access (VBA) will be advantage **.

Skills:

Data Analysis, ETL, Industry trends, English, Mandarin

Job type:

Full-time

• Analyze and interpret complex data sets to uncover insights and trends that drive business strategy and decision-making.
• Collaborate with cross-functional teams to understand their data needs and provide actionable recommendations.
• Design and maintain dashboards, reports, and visualizations using tools to communicate insights effectively.
• Extract data from various sources, including databases, APIs, and third-party services, ensuring data quality and accuracy.
• Develop and implement data models, ETL processes, and automated reporting solutions to streamline data analysis.
• Stay updated with industry trends and new technologies to enhance the company's data analytics capabilities.
• Participate in data governance initiatives, ensuring compliance with data privacy and security regulations.
• Bachelor's degree in Statistics, Data Science, or a related field; an MBA or advanced degree is a plus.
• Minimum of 5 years of experience in business intelligence or data analysis, preferably in a fast-paced e-commerce environment.
• Proficient in SQL and at least one data visualisation tool (e.g., Tableau, Power BI), with a solid understanding of data warehousing concepts.
• Strong analytical skills, with the ability to manipulate, clean, and derive insights from large datasets.
• Effective communicator with excellent presentation skills, capable of translating complex data into simple, actionable insights for non-technical stakeholders.
• Language: English and Mandarin(a plus).
• ประสบการณ์ที่จำเป็น
• 5 ปี.
• ระดับตำแหน่งงาน
• ระดับหัวหน้างาน.
• สายงาน
• นักวิเคราะห์.
• ไอที / เขียนโปรแกรม.
• งานผู้ช่วย.
• ประเภทงาน
• งานประจำ.
• เงินเดือน
• สามารถต่อรองได้.

Experience:

1 year required

Skills:

Database Development, Data Analysis, English

Job type:

Full-time

• จัดทำเปรียบเทียบยอดขายของแต่ละสายงาน.
• จัดทำฐานข้อมูลทุกระบบ เช่น VSMS, HAS, HOS ฯลฯ.
• จัดทำรายงานค้างขน Ag และรายงานอื่นๆ.
• จัดทำ รางวัลและกิจกรรมส่งเสริมการขาย.
• จัดทำข้อมูลเกี่ยวกับประวัติของเอเย่นต์ ซับเอเย่นต์.
• จัดทำและเปรียบเทียบข้อมูลคู่แข่งจากรายงานของแต่ละสายงานเพื่อเป็นข้อมูลในการบริหาร.
• จัดทำข้อมูลการกระจายสินค้าเข้าร้านค้าของแต่ละสายงาน.
• จัดทำรายงานงบประมาณส่งเสริมการขายเปรียบเทียบใช้จริง.
• จัดเก็บเอกสารต่างๆ เช่น สัญญา Lock Out.
• ร่วมจัดทำงบประมาณยอดขาย.
• ปฏิบัติหน้าที่อื่นๆ ที่ผู้บังคับบัญชามอบหมาย.
• Job Qualification.
• ปริญญาตรีเสถิติ หรือสาขาที่เกี่ยวข้อง.
• มีประสบการณ์ด้านสถิติข้อมูล 1 ปี.
• มีความรู้ในด้านลักษณะการดำเนินธุรกิจของบริษัท.
• มีทักษะทางด้านการใช้ computer และ Excel.
• มีทักษะในสื่อสาร ประสานงานอย่างมีประสิทธิภาพ.
• มีความรับผิดชอบสูง ซื่อสัตย์.
• มีมนุษย์สัมพันธ์ดี มีความละเอียดรอบคอบ.

Skills:

Data Analysis, Excel, English

Job type:

Full-time

• An independent, creative thinker.
• Organised and meticulous in nature.
• Capable of discerning meaningful patterns and deriving new insights from large amounts of seemingly confusing data.
• Excellent at communicating complicated technical information to non-technical audiences, using presentation skills with Tableau, PowerPoint, etc.
• Understanding and applying the core concepts.
• Detecting statistical misinformation and anomalies.
• Performing statistical analysis and developing statistical models, using programmes such as Excel, SPSS, etc.
• Special consideration will be given if you also:
• Are capable of developing predictive econometric models,.
• Have knowledge and experience in the property industry,.
• Have computer coding skills (in languages such as SQL), and.
• Are fluent in the English language.

Experience:

10 years required

Skills:

Business Statistics / Analysis, Data Analysis, English

Job type:

Full-time

• Develop and execute a comprehensive analytics strategy tailored to the retail sector, integrating our data platform layer to improve sales, customer retention, and operational efficiency.
• Lead and mentor a team of analysts at CP Axtra, fostering a culture of data-driven decision-making and continuous improvement.
• Stay abreast of industry trends and technological advancements in retail analytics and data platforms to maintain a competitive edge.
• Implement and oversee robust data governance practices specific to retail, ensuring data accuracy, integrity, and compliance with regulatory standards within our data platform layer.
• Manage seamless integration of data from multiple sources including POS systems, CRM platforms, online transactions, and third-party data providers into our data platform at CP Axtra.
• Design and develop advanced analytical models and algorithms leveraging our data platform layer to derive actionable insights related to customer behavior, product performance, and market trends.
• Conduct in-depth analysis using statistical methods and machine learning techniques to optimize pricing strategies, inventory management, and promotional campaigns.
• Collaborate closely with retail operations, marketing, and sales teams at CPaxtra to understand business objectives and provide analytical support for strategic decision-making, leveraging insights from the integrated data platform.
• Identify opportunities to enhance customer segmentation, personalized marketing efforts, and overall customer satisfaction through data-driven recommendations.
• Define and monitor key performance indicators (KPIs) related to retail metrics such as sales conversion rates, basket analysis, and customer lifetime value, utilizing data from our integrated platform at CPaxtra.
• Continuously assess and optimize business processes based on data insights to drive revenue growth and operational efficiency.
• Present complex analytical findings and recommendations derived from our data platform in a clear and compelling manner to senior leadership and stakeholders at CP Axtra.
• Collaborate with cross-functional teams to implement data-driven solutions and initiatives that align with organizational goals and leverage our integrated data platform layer effectively.
• Bachelor s degree in Statistics, Mathematics, Economics, Computer Science, or a related field (Master s or PhD preferred).
• 10+ years of progressive experience in analytics, data science, or business intelligence within the retail industry, with a strong focus on data platform integration.
• Experience with cloud-based data platforms and big data technologies.
• Proficiency in statistical analysis tools (e.g., Python, R), database querying languages (e.g., SQL), and data visualization software (e.g., Tableau).
• Strong understanding of retail operations, including inventory management, merchandising strategies, and customer journey mapping, coupled with experience in leveraging integrated data platforms.
• Excellent leadership skills with a proven ability to manage and inspire a team of analysts in a dynamic and fast-paced environment.
• Strategic thinking and problem-solving skills with a focus on driving business value.
• Strong understanding of recommendation/personalization algorithms and data processing technologies.

Skills:

Matlab, Python, Java

Job type:

Full-time

• Designs, develops, and implements end-to-end cloud based machine learning production pipelines (data exploration, sampling, training data generation, feature engineering, model building, and performance evaluation).
• Ensures that data pipelines are scalable, repeatable, and secure, and can serve multiple users within the company.
• Enables big data and batch/real-time analytical solutions that leverage emerging technologies.
• Collects, parses, manages, analyzes and visualizes large sets of data using multiple platforms.
• Translates complex functional and technical requirements into detailed architecture, design, and high performing software.
• Codes, tests, and documents new or modified data systems to create robust and scalable applications for data analytics.
• Implements security and recovery tools and techniques as required.
• Works with Data Science Lead and developers to make sure that all data solutions are consistent.
• Ensures all automated processes preserve data by managing the alignment of data availability and integration processes.
• Develops standards and processes for integration projects and initiatives.
• Fluency in a high-level modeling language such as MATLAB, R, Stata, etc.
• Fluency in a software programming language such as Python, C++, Java, etc.
• Hands-on knowledge in any of the following visualization tools: Tableau, D3, Ggplot, PowerBI.
• Deep understanding of high performance algorithms and implementation.
• Expert knowledge of data modeling and understanding of different data structures - demonstrable ability to design and implement highly scalable data use cases and models.
• Experience in consumer/retail/e-commerce data science (e.g., machine learning applied for churn analysis, recommender systems, personalization etc.) preferred.
• Excellent problem solving, critical thinking, and communication skills.
• Ability to convey rigorous mathematical concepts and considerations to non-experts.
• Ability to distill problem definitions, models, and constraints from informal business. requirements; and to deal with ambiguity and competing objectives.
• Demonstrated experience with agile or other rapid development methods.
• Professional attitude and service orientation; superb team player.
• Basic understanding of programming, statistics, machine learning, data munging, and data visualization.
• Attention to detail and the ability to effectively present results.
• Strong communication skills, orally and in writing.
• Passion for innovation and can do attitude.
• Strong work ethic; ability to work at an abstract level and gain consensus.
• Attitude to thrive in a fast-paced environment.
• Health Insurance - At Makro PRO, we care about your health! Group insurance from a top insurance company is included in your benefits OPD, IPD, Emergency OPD.
• Provident Fund - Makro PRO cares about your long-term plan! We offer 3% provident fund.
• Year-end bonus - We include variable and performance bonus for our employees.
• Gym Facilities - Our Head office has a fitness center, yoga room, and recreational space. Enjoy Bangkok scenery and work your body!.
• Attractive Vacations days - Enjoy our attractive annual leave. Let s say the minimum is 18 days!.
• No overtime - We work 5 days a week with. We set our own goals and deadlines.
• Cool hardware - New MacBook. The tool to help you be the best of yourself.
• Free car parking space - No more stress or extra cost if you drive to work. We offer free parking space for our employees.
• Best Culture
• Clear focus.
• Diverse Workplace (Our members are from around the world!).
• Thai and Non-Thai are both welcome!.
• Non-hierarchical and agile environment.
• Growth opportunity and career path.

Experience:

5 years required

Skills:

Data Analysis, ETL, Data Warehousing, English

Job type:

Full-time

• Strong analytical and problem-solving skills to identify commercial opportunity.
• Working well in a cross-disciplinary team with different types of stakeholders (IT, Agency, Business, Management).
• Business Development of Data Intelligence for corporate strategy.
• Analyze internal and external data in various aspects to identify threats & opportunities and provide information/report for management or related business unit team to plan activities and strategies.
• Participate in the initiative's development plan of business unit / brand plans and align with corporate strategy, objectives and KPIs.
• Coordinate and consolidate with the related department to implement a project or tracking the project progress and provide corrective supervision if necessary.
• Create and deliver insights report on new ideas to the management team or business units and seek appropriate decisions, directions, and approvals.
• Bachelor s or Master s degree in business or related field of study.
• Minimum 5-8 years Performance Management function / Commercial Analyst roles.
• Experience in corporate/channel/brand/segment strategy.
• Experience working in Data Analytic related projects.
• Excellent analytical and problem-solving skills.
• Ability to apply logical and creative thinking to solve complex business problems.
• Ability to define the problems and frame answers in a logical and structured manner.
• Good project management, team leadership and sense of ownership.
• Good co-ordination skill with positive attitude and ability to work under pressure.
• Strong communications, customer relationship and negotiation skills.
• Good command of both written and spoken English.
• Basic understanding of data ecosystem, Advanced skills in dashboard and BI tools.
• Conceptual knowledge of data and analytics, ETL, reporting tools, data governance, data warehousing, structured and unstructured data.

Skills:

Financial Reporting, Data Analysis, English

Job type:

Full-time

• จัดทำเปรียบเทียบยอดขายของสายงานขายออนเทรด.
• จัดทำฐานข้อมูลทุกระบบ เช่น VSMS, HOS ฯลฯ.
• ตรวจสอบกิจกรรมส่งเสริมการขาย.
• จัดทำและเปรียบเทียบข้อมูลคู่แข่งจากรายงานของสายงานขายออนเทรดเพื่อเป็นข้อมูลในการบริหาร.
• จัดทำข้อมูลการกระจายสินค้าเข้าร้านค้า.
• จัดทำรายงานงบประมาณส่งเสริมการขายเปรียบเทียบใช้จริง.
• จัดเก็บเอกสารต่าง ๆ เช่น สัญญา Lock Out,เดิมพันยอด.
• ร่วมจัดทำงบประมาณยอดขาย,ค่าใช้จ่าย.
• จัดทำข้อมูลประกอบเงินจูงใจ.
• จัดทำข้อมูลอื่นๆที่เกี่ยวข้อง.
• ร่วมจัดทำงบประมาณขาย,ค่าใช้จ่าย,กำลังคน และ ทรัพย์สิน.
• ติดตามและรายงานการวิเคราะห์ข้อมูลเปรียบเทียบงบประมาณของเขตการขายที่รับผิดชอบให้มีประสิทธิภาพ.
• Job Qualification.
• ความเข้าใจในธุรกิจประเภทเครื่องดื่มแอลกอฮอล์และไม่มีแอลกอฮอล์ สภาพทางการตลาด ช่องทาง การจัดจำหน่าย รวมทั้งปัจจัยต่าง ๆ ที่มีอิทธิพลต่อผู้มีส่วนได้ส่วนเสีย (Stakeholder) ในธุรกิจเครื่องดื่มเป็นอย่างดี.
• มีความรู้ในเรื่อง Fast Moving Consumer Goods (FMCG) การจัด Shelf Display, Space & Facility Management.
• มีความเข้าใจในการผลักดันยอดขายด้วยกิจกรรมทางการตลาด (Sales Drivers Programs) ในแต่ละช่องทางการจัดจำหน่ายของแต่ละผลิตภัณฑ์ เพื่อตอบสนองความต้องการของลูกค้าและผู้บริโภค.
• มีความเข้าใจในธุรกิจสินค้า (Commercially Astute) และความเข้าใจในภาพรวมถึงผลกระทบของแผนงานต่าง ๆ ต่อการดำเนินการของธุรกิจ.
• มีความรู้ด้านการบริหารทรัพย์สิน สภาพแวดล้อมของตลาดเครื่องดื่ม.
• มีความเข้าใจโครงสร้างของระบบการจัดจำหน่ายและปัจจัยกระตุ้นการขาย.
• มีความเข้าใจและให้ความสำคัญกับการใช้ข้อมูลและมีความสามารถในการวิเคราะห์วางแผน.
• มีความสามารถในการใช้ข้อมูลทางการเงิน และตัวเลขในเชิงวิเคราะห์เพื่อสร้างความได้เปรียบทางการแข่งขัน.
• มีทักษะในการวางแผน การจัดการ และการวิเคราะห์เชิงเหตุผล.
• มีทักษะและความรู้ทางด้านการใช้โปรแกรมต่าง ๆ เช่น MS Office Excel ขั้นสูง, Pivot Table ฯลฯ.
• มีทักษะในการตัดสินใจ และการปฏิบัติที่เน้นผลลัพธ์ของงาน.
• มีความคิดสร้างสรรค์ในเชิงพัฒนาศักยภาพ.
• มีมนุษยสัมพันธ์ การสื่อสาร และการติดต่อประสานงานที่ดีทั้งภายในและภายนอกองค์กร.
• มีความรับผิดชอบสูง ซื่อสัตย์.
• สามารถแก้ไขปัญหาเฉพาะหน้า และทำงานในสภาวะความกดดันได้เป็นอย่างดี.