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Experience:

5 years required

Skills:

Project Management, Finance, Microsoft Office, English

Job type:

Full-time

• Create and update the Network Resilience and Network Master Plan taking into account data from internal and external sources to deliver business aspiration.
• Be a focal point of Multi Year plan process and NW TnR process, and integrating this work to overall Mobility team.
• Be a focal point for future specific network strategy review or new strategy development for network and Mobility planning.
• Own, develop and be focal point of Post-Investment Review on Mobility Network investment. Own overall program and ensure specific project owners complete the PIRs as per the guideline requirement.
• Own the economic assumption in Downstream Valuation Model which need to review yearly.
• Provide a regular update on Network performance and overall T&R delivery.
• Assure data transparency for reporting in ClearTrack (project management tool) to enable global visibility.
• Own & accountable for the data accuracy and the tools. This might work and deliver via other teams - S&Op, Marketing, Real Estate and Planner.
• Interface with:The role will work integratively with Planners, Finance, Engineering, Real Estate, S&OP, MKT, Comm Fleet, Trade & Supply and Global CoE.
• Special Challenges & Learning Opportunities The position requires a wide working interface with various functions within Mobility, outside Mobility esp. Trade &Supply, Global COE & TH IPU team.
• The position required a quick learner with high analytical skill and can work with various information and stakeholders within and outside Mobility and with global team, and can translate the analysis to strategy development.
• This position will provide a very in depth learning of Mobility business and strategy development. Highly expose to various and senior stakeholders.
• The position will provide the opportunity to learn/ skill in developing business strategy in the future.
• Education background of Master s degree in Business Administration / Engineering as minimum.
• More than 5 years of relevant work experience.
• Have experience in Commercial background is a plus.
• Basic knowledge in Finance.
• Strong analytical skill, structured-approach and strategic-thinking will ensure the success of the candidate in this role.
• Sharp analytical skill; Excellent in Microsoft Office tools (Other analytical tools i.e. Phyton is a plus).
• Technology driven.
• Very good in presentation skill.
• Fluent in English Communication skills including writing, speaking, and reading.

Skills:

Employer Branding, Branding, Automation

Job type:

Full-time

• Collect, clean, and integrate HR data from various sources, including HRMS, Excel, Google Sheets, and text files, to ensure accurate and reliable data for analysis.
• Develop and maintain HR analytical reports and dashboards, including executive dashboards, that support decision-making across HR areas, such as turnover analysis, Manpower, employer branding activities, etc.
• Implement HR automation processes to streamline data workflows.
• Coordinate and execute project-related data analytics tasks and ad-hoc projects, ensuring timely and accurate completion.
• Stay updated on emerging technologies, especially AI, to enhance HR data solutions.
• Education: Bachelor s Degree in IT, Computer Science, Computer Engineering, Data Analytics, or a related field. An advanced degree in a relevant area is a plus.
• Dashboard Tools: Proficiency in creating and managing interactive dashboards using Power BI Desktop, Power BI Service, Looker Studio, and Excel.
• Data Analysis Tools: Strong experience in data analysis and transformation using Power Query, SQL, and Python, including data extraction, transformation, and query optimization.
• Application Tools: Knowledge of and experience with no-code/low-code platforms (e.g., Power Apps, AppSheet) for creating applications and automating workflows.
• Project Management: Proven ability to manage multiple projects simultaneously, adapt to fast-paced environments, and consistently meet deadlines.
• Communication Skills: Strong verbal and written communication skills, with the ability to present complex, data-driven insights in a clear and impactful manner to non-technical stakeholders.

Skills:

Power BI, Excel, Microsoft Office

Job type:

Full-time

• วิเคราะห์ และจัดทำรายงานเปรียบเทียบข้อมูล ต่างๆ เช่น รายวัน, รายเดือน, รายปี โดยเปรียบเทียบกับข้อมูลในอดีตเป้าหมาย และการประมาณการในอนาคต เพื่อนำเสนอผู้บริหาร.
• จัดทำงบประมาณประจำปีในส่วนของ ยอดขาย และค่าใช้จ่ายส่งเสริมการขาย.
• จัดทำรายงานสรุป Profit & Loss ประจำเดือนในมุมมองบริหารฯ เพื่อนำเสนอผู้บริหาร.
• จัดทำฐานข้อมูลตามแนวทางต่างๆ เพื่อสนับสนุน การคำนวณ/การทำรายงานของส่วนงานอื่นๆ ที่เกี่ยวข้อง เช่น เป้าหมายการจ่ายเงินจูงใจให้กับพนักงาน, เป้าหมายการจ่ายเงินรางวัล เป็นต้น.
• ออกแบบ Dashboard สำหรับข้อมูลด้านต่างๆ ที่เกี่ยวข้อง ให้ผู้ใช้งานเข้าใจ และสามารถนำไปใช้ได้ง่าย เช่น Power BI.
• ออกแบบ Template ให้ส่วนงานต่างๆที่เกี่ยวข้อง เพื่อรองรับการทำงานในการรวบรวมข้อมูล เพื่อช่วยให้การทำงาน ได้ผลลัพธ์ที่รวดเร็วขึ้น.
• วิเคราะห์ข้อมูลอื่น ๆ ที่เกี่ยวข้อง ตามที่ได้รับมอบหมาย.
• ให้คำแนะนำในกาวิเคราะห์ข้อมูล แก่หน่วยงาน ต่าง ๆ ที่มีการใช้งานข้อมูล.
• งานอื่น ๆ ที่ได้รับมอบหมาย.
• มีทักษะในการใช้คอมพิวเตอร์โปรแกรม MS Excelขั้นสูง.
• มีทักษะการใช้คอมพิวเตอร์อื่นๆ ได้เป็นอย่างดี: Microsoft Office; Word, Power Point.
• มีความสามารถทางการวิเคราะห์ การวางแผน และการจัดการอย่างเป็นระบบ และมีมาตรฐานในการทำงาน.
• มีทักษะในการสื่อสาร และความสามารถ ในการเจรจา ต่อรอง.
• มีความสามารถในการเรียนรู้สิ่งใหม่ ๆ ได้รวดเร็ว.
• มีทักษะในการนำเสนองาน.
• มีทักษะในการใช้ Power BI (ถ้ามี).
• มีความรู้พื้นฐานด้านการเขียนโปรแกรมต่าง ๆ (ถ้ามี).
• ติดต่อสอบถาม.
• บริษัท โมเดิร์นเทรด แมนเนจเม้นท์ จำกัด.
• อาคารเล้าเป้งง้วน 1 ชั้น 26 ถนนวิภาวดีรัสิต แขวงจอมพล เขตจตุจักร แขวงจอมพล เขตจตุจักร จังหวัดกรุงเทพมหานคร.

Skills:

Tableau, Big Data, SQL

Job type:

Full-time

• Gathering, understanding, and analyzing detailed business requirements using appropriate tools and techniques.
• Identify trends and opportunities for growth through analysis of complex data sets.
• Create best-practice ongoing reports/dashboards based on data mining, analysis, and visualization.
• Use data to answer key questions about the business.
• Deliver takeaways from data with statistical significance.
• Experience using business intelligence or data visualization tools (e.g. Tableau, PowerBI).
• Able to analyze trends and patterns for solving business insight problems in big data by working with business users and data scientists/data engineers.
• Proficient in using SQL languages.
• Excellent in Microsoft Excel (e.g. Pivot table, vlookup) and PowerPoint.
• Strong analytical skills with the ability to collect, organize, analyze, and disseminate significant amounts of information with attention to detail and accuracy.
• Data-oriented personality, great communication skills, and an excellent eye for detail.

Job type:

Full-time

• About TikTokTikTok is the leading destination for short-form mobile video. At TikTok, our mission is to inspire creativity and bring joy. TikTok's global headquarters are in Los Angeles and Singapore, and its offices include New York, London, Dublin, Paris, Berlin, Dubai, Jakarta, Seoul, and Tokyo. Why Join UsCreation is the core of TikTok's purpose. Our products are built to help imaginations thrive. This is doubly true of the teams that make our innovations possible. Together, we inspire creativity and enrich life - a mission we aim towards achieving every day. To us, every chall ...
• Minimum Qualifications-Bachelor degree or above, graduate degree is preferred, math, statistics, computer-related majors are preferred, strong capability of data analytics is required;-experience in research and analysis positions in consulting, e-commerce/ads is preferred. Preferred Qualifications-Outstanding reasoning capability and logic, with good problem solving methodologies, being able to independently output quality strategic solutions, strong learning and adaptive ability, strategic framework thinking, sensitivity and insight into the business;-Have some strategic thinking capacity, able to quickly understand the business and discover the connection between business and data performance;-Proficiency in SQL for data analysis, understanding of common statistical and analytical methods, and skills in BI visualization tools such as Tableau/Power BI is a plus;-Fast learner, passionate about participating in business, and able to adapt to high intensity and fast growth work environment.TikTok is committed to creating an inclusive space where employees are valued for their skills, experiences, and unique perspectives. Our platform connects people from across the globe and so does our workplace. At TikTok, our mission is to inspire creativity and bring joy. To achieve that goal, we are committed to celebrating our diverse voices and to creating an environment that reflects the many communities we reach. We are passionate about this and hope you are too.By submitting an application for this role, you accept and agree to our global applicant privacy policy, which may be accessed here: https://careers.tiktok.com/legal/privacy.If you have any questions, please reach out to us at [email protected].

Skills:

Assurance

Job type:

Full-time

• Develop and analyze Enterprise Service revenue to understand Product and Service trends within the AIS Group, ensuring that revenue collection, promotion packages, and new services are properly executed according to the company s business conditions.
• Identify suitable QA methods to reduce revenue loss and prevent errors in the Line Operation's work, sharing knowledge to strengthen revenue assurance.
• Verify the completeness and accuracy of service calculations, promotion packages, and offerings for corporate customers.
• Review the calculation of Postpaid Voice and IDD services, as well as IR services in the RBM system, ensuring they are correct, complete, and in line with the rates and conditions set by the company, with no abnormalities that could lead to revenue loss (Real Loss/Opportunity Loss).
• Communicate, coordinate, and follow up on issues causing revenue loss, identify the root causes, and work with relevant departments to resolve the problems, reducing revenue loss, particularly in Voice services.
• Analyze data from various sources within the scope of responsibility using data analytics skills, reflecting trends, performance, efficiency, and effectiveness of Products and Services. Identify abnormalities impacting revenue loss (Real Loss/Opportunity Loss & Fraud), and conduct audits and monitoring.
• Prepare analysis reports to support management strategies and assess risks in various areas.
• Perform other duties as assigned by the supervisor.

Skills:

Statistics, Research, Finance

Job type:

Full-time

• Engage stakeholders to understand business problems and customize analytic and predictive model solutions to business needs.
• Solve problems using advanced statistical techniques including, but not limited to regression/logic regression, bootstrap, factor analysis, decision tree, clustering & binning, and basket analysis.
• Conduct exploratory data profiling techniques, common summary descriptive statistics, etc.
• Develop and maintain expertise in a wide range of new technologies, methodologies, and techniques facilitating advanced research, decision sciences, and systems engineering.
• Support the design and management of market and product experiments and pilots to test hypotheses or generate test and control observation data.
• Partner with Technology, Product Management, Engineering, Marketing, Sales, and Finance teams to deliver solutions for clients and into the operation.
• Build and lead a team of analysts, while initially serving as an individual contributor.
• Lead projects with moderate complexity.
• Engage internal customers to understand problems and customize analytic and predictive model solutions to business needs.
• Bachelor's or Master's in Mathematics, Science, Statistics or related Technical field; or Equivalent related professional experience (e.g. driving significant and sustained change and performance improvement from data-driven insights).
• Demonstrates statistical competency and requires limited supervision.
• Familiar with SQL, Python, or R, or any other major data analysis programming language.
• Experience working in the fundamentals of big data architecture (streaming events, data lakes, analytics engines) and relational database models.
• Display strong domain knowledge, business acumen, and critical reasoning skills.
• Strong skills in Excel, PowerPoint, and statistical/data processing software packages and programming languages (e.g. SAS, R, SQL, SPSS, etc.).
• Mines data sets using sophisticated analytical techniques to generate insights and inform business decisions.
• Identifies and tests hypotheses, ensuring statistical significance through experimental design and builds predictive models for business application, product development, etc.
• Translates quantitative analyses and findings into accessible visuals for all stakeholders and multiple audiences, and provide clear view into interpreting data.
• Ability to work in and among cross functional teams.

Skills:

Data Analysis, Analytical Thinking, High Responsibilities

Job type:

Full-time

• Analyze data and provide business insight.
• Assess risk and design mitigation actions based on data insight.
• Design dashboards / predictive models for decision-making management.
• Lead and Supervise team by projects.

Experience:

2 years required

Skills:

Analytical Thinking, SQL, Excel, English

Job type:

Full-time

• Define key measures and set up appropriate monitoring to indicate service status.
• Review the service status across infrastructures to assess risk levels, address issues with relevant teams, and progress open actions.
• Analyze both client level and system level usage data and be able to provide insights and recommendations.
• Provide regular reports to key collaborators to communicate the current status and drive actions to a timely closure.
• Qualification Bachelor s degree in business, Technology, or Operations Management.
• Strong critical thinking and analytical thinking.
• Strong data analytical skill.
• Strong understanding of SQL.
• Strong administrative and organizational skills required, as is a focused attention to details.
• Strong working knowledge of Microsoft Excel (preferably to advanced level).
• Good background in data visualization concept and tools. Tableau knowledge and PowerBI is preferred.
• Good communication in English and strong social skills required.
• 2-3 years of experience working in a technical environment or with a technical organization.
• At LSEG, we consider on providing opportunities equally as priority, we strive to establish teams that are diverse and encourage coordinated working and sharing of ideas!
• At LSEG Bangkok, you can be your best self. Our open and inclusive culture and collaborative communities connect colleagues from across the world, and a host of skill development programmes support our people's personal and professional growth. 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.

Skills:

Excel

Job type:

Full-time

• Conceptualizing and executing trade promotions and rolling out impactful in-store campaigns in collaboration with marketing and sales teams.
• Developing and implementing trade marketing strategies to increase brand visibility and drive sales.
• Collaborating with sales teams to identify market trends and opportunities for product promotion.
• Creating and executing trade marketing campaigns and promotions to support product launches and achieve sales targets.
• Monitoring and analyzing sales data to evaluate the effectiveness of trade marketing initiatives.
• Building and maintaining strong relationships with key trade partners and distributors.
• Coordinating with cross-functional teams, including marketing, sales, and supply chain, to ensure seamless execution of trade marketing activities.
• Analyzing and recommending brands/channel combinations to maximize sell-out and profitability..
• Bachelor's degree in marketing, business administration, or a related field.
• Previous experience in trade marketing or sales, preferably in the consumer goods industry.
• Strong analytical skills and ability to interpret market data and trends.
• Proficiency in Microsoft Excel.

Job type:

Full-time

• วิเคราะห์ พิจารณา และทบทวนวงเงินสินเชื่อแก่ลูกค้าในการซื้อขาย เงื่อนไขการชำระเงิน และหลักประกัน ที่เหมาะสม ภายใต้ความเสี่ยงที่ยอมรับได้ ตลอดจนตรวจสอบและปรับปรุงข้อมูลลูกค้าในระบบให้ถูกต้อง ครบถ้วน และเป็นปัจจุบัน
• ให้ความเห็นด้านเครดิตกรณีการขายผ่านคำสั่งซื้อที่มีสถานะเกินวงเงินและ/หรือเกินกำหนดชำระ
• พัฒนา ปรับปรุง ระบบการประเมินเกรดการค้าและระบบงานด้านสินเชื่อ เพื่อมีระบบฐานข้อมูลที่ครบถ้วน รวดเร็ว และมีประสิทธิภาพเพิ่มขึ้น
• จัดทำและวิเคราะห์รายงานที่เกี่ยวข้อง เช่น รายงานการจัดเกรดการค้า รายงานลูกหนี้ค้างชำระ
• ทำหน้าที่เป็นเลขาของคณะอนุกรรมการสินเชื่อ รวมถึงการจัดการประชุม การจัดเตรียมเอกสารประกอบการประชุม และการจัดเตรียมรายงานการประชุม
• ดูแล ตรวจสอบหลักประกัน เช่น เงินสด หนังสือค้ำประกัน (BG) ให้ถูกต้องตามข้อกำหนดของบริษัทฯ และมีผลบังคับใช้ตามกฎหมาย พร้อมทั้งการให้ผลตอบแทนกรณีหลักประกันเป็นเงินสด เพื่อลดความเสี่ยงในการเรียกเก็บเงินไม่ได้
• ประเมินค่าเผื่อหนี้สงสัยจะสูญรายไตรมาส และรายปี สำหรับจัดทำงบการเงิน
• ประสานงานและให้ข้อมูลกับบริษัทประกันภัย (Trade Credit Insurance) ในการประเมินวงเงินให้สินเชื่อกับลูกค้า
• ปริญญาตรี/โท สาขาการเงิน บัญชี เศรษฐศาสตร์ หรือ สาขาอื่นที่เกี่ยวข้อง
• มีประสบการณ์ด้าน การเงินการธนาคารหรืองานสินเชื่อไม่ต่ำกว่า 10 ปี
• มีความละเอียดรอบคอบ มีความคิดสร้างสรรค์
• มีทักษะในการวางแผน บริหารจัดการ เจรจาต่อรอง และแก้ปัญหาเฉพาะหน้าได้ดี
• มีทักษะในการวิเคราะห์และให้ความเห็นตามที่กฎเกณฑ์ นโยบาย และระเบียบ
• มนุษยสัมพันธ์ดีและมีทักษะการสื่อสาร ติดต่อประสานงานได้เป็นอย่างดี
• หากมีประสบการณ์การใช้ SAP จะได้รับการพิจารณาเป็นพิเศษ
• สามารถทำงานภายใต้ภาวะกดดันได้.

Skills:

Data Analysis, Finance, SQL, English

Job type:

Full-time

• 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. .

Skills:

SQL, Research, Java

Job type:

Full-time

• Background in SQL, databases and/or data science OR.
• BS/MS in software engineering, computer science, mathematics.
• Document data sources in enterprise data catalog with metadata, lineage and classification information.
• Develop aggregations and algorithms needed for reporting and analytics with low level complexity.
• Implement minor changes to existing data visualization applications, reporting dashboards.
• Document modifications to reporting applications based on modifications applied.
• Comprehend and adhere to all data security policies and procedures.
• Create data tools for analytics and data scientist team members.
• Build analytical tools to provide actionable insights into key business KPIs, etc.
• Work with data engineers to optimize pipelines for scalability and data delivery.
• Functional Competency.
• Working knowledge with data and analytics framework supporting data lakes, warehouses, marts, reporting, etc.
• Experience with data tools for visualizations, analytics and reporting.
• Strong analytical skills with ability to research, assess and develop observations/findings.
• Ability to communicate findings, approaches to cross functional teams and stakeholders.
• 3+ years' hands-on experience with a data science background.
• Some programming skills in Java, Python and SQL.
• Clear hands-on experience with database systems - Cloud technologies (e.g. AWS, Azure, Google), in-memory database systems (e.g. HANA, Hazel cast, etc) and other database systems - traditional RDBMS (e.g. Teradata, SQL Server, Oracle), and NoSQL databases (e.g. Cassandra, MongoDB, DynamoDB).
• Educational.
• Background in SQL, databases and/or data science OR.
• BS/MS in software engineering, computer science, mathematics.
• Document data sources in enterprise data catalog with metadata, lineage and classification information.
• Develop aggregations and algorithms needed for reporting and analytics with low level complexity.
• Implement minor changes to existing data visualization applications, reporting dashboards.
• Document modifications to reporting applications based on modifications applied.
• Comprehend and adhere to all data security policies and procedures.
• Create data tools for analytics and data scientist team members.
• Build analytical tools to provide actionable insights into key business KPIs, etc.
• Work with data engineers to optimize pipelines for scalability and data delivery.
• Functional Competency.
• Working knowledge with data and analytics framework supporting data lakes, warehouses, marts, reporting, etc.
• Experience with data tools for visualizations, analytics and reporting.
• Strong analytical skills with ability to research, assess and develop observations/findings.
• Ability to communicate findings, approaches to cross functional teams and stakeholders.
• 3+ years' hands-on experience with a data science background.
• Some programming skills in Java, Python and SQL.
• Clear hands-on experience with database systems - Cloud technologies (e.g. AWS, Azure, Google), in-memory database systems (e.g. HANA, Hazel cast, etc) and other database systems - traditional RDBMS (e.g. Teradata, SQL Server, Oracle), and NoSQL databases (e.g. Cassandra, MongoDB, DynamoDB).

Job type:

Full-time

• 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.

Experience:

6 years required

Skills:

Oracle, Java, SQL, English

Job type:

Full-time

• 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. .

Skills:

SQL, Data Warehousing, ETL, English

Job type:

Full-time

• Work with business domain experts, data scientists and application developers to identify data that is relevant for analysis.
• Retrieve, prepare, and process a rich data variety of data sources.
• Apply data quality, cleaning and semantic inference techniques to maintain high data quality.
• Explore data sources to better understand the availability and quality/integrity of data.
• Gain fluency in AI/ML techniques.
• Experience with relational database systems with expertise in SQL.
• Experience in data management, data warehousing or unstructured data environments.
• Experience with data integration or ETL management tools such as Talend, Apache Airflow, AWS Glue, Google DataFlow or similar.
• Experience programming in Python, Java or other equivalent is a plus.
• Experience with Business Intelligence tools and platforms is a plus, e.g. Tableau, QlikView, Google DataStudio, Google Analytics or similar.
• Experience with Agile methodology and Extreme Programming is a plus.
• Ability to meet critical deadlines and prioritize multiple tasks in a fast-paced environment.
• Ability to work independently, have strong problem solving and organization skills, with a high initiative and a sense of accountability and ownership.
• Good communication in English.

Experience:

6 years required

Skills:

Oracle, Java, SQL, English

Job type:

Full-time

• 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. .

Skills:

Statistics, Data Analysis, SAS, English

Job type:

Full-time

• Search: Experiment with text ads, bidding, and campaign structures on Google, Bing, Baidu, Naver, and other search engines. Adapt to new product features and roll out changes from successful tests.
• Display: Test, analyze, and optimize campaigns on Facebook, Twitter, Instagram, and others.
• Modeling: Analyze the vast amounts of data generated by experiments, develop models we can use for optimization, and build dashboards for account managers.
• Bachelor's Degree or higher from top university in a quantitative subject (computer science, mathematics, engineering, statistics or science).
• Ability to communicate fluently in English.
• Exposure to one or more data analysis packages or databases, e.g., SAS, R, SPSS, Python, VBA, SQL, Tableau.
• Good numerical reasoning skills.
• Proficiency in Excel.
• Intellectual curiosity and analytical skills.
• Experience in digital marketing.
• Academic research experience.
• STRA#ANLS#MRKT#3#LI-TR2.
• Experience in R studio, data modeling, hypothesis testing is a plus.
• Equal Opportunity Employer.
• At Agoda, we pride ourselves on being a company represented by people of all different backgrounds and orientations. We prioritize attracting diverse talent and cultivating an inclusive environment that encourages collaboration and innovation. Employment at Agoda is based solely on a person's merit and qualifications. We are committed to providing equal employment opportunity regardless of sex, age, race, color, national origin, religion, marital status, pregnancy, sexual orientation, gender identity, disability, citizenship, veteran or military status, and other legally protected characteristics.
• We will keep your application on file so that we can consider you for future vacancies and you can always ask to have your details removed from the file. For more details please read our privacy policy.
• To all recruitment agencies: Agoda does not accept third party resumes. Please do not send resumes to our jobs alias, Agoda employees or any other organization location. Agoda is not responsible for any fees related to unsolicited resumes.

Experience:

8 years required

Skills:

Data Analysis, Tableau, Excel

Job type:

Full-time

• Work closely with stakeholders to understand business requirements, identify opportunities, and whitespace to commercialize data-driven insights and solutions.
• The candidate will need to lead data analysis and sales pitching for the Annual Media planning process, and have good commercial awareness and communication skills to be able to connect with multiple stakeholders.
• Break down business questions into analytical frameworks, and being able to talk the language of technical teams as well as commercial stakeholders is a key requirement ...
• The candidate will need to lead the development of end-to-end data lead media solutions, and media measurements to keep ahead of the media industry standards and own roadmap to deploy and modernize media measurements across different media platforms, channels, and mechanics.
• Candidates should have some idea of offline and online SSP and DSP platforms and architecture, and market direction to strategically build and improve media solutions, either owned or in partnership with external parties.
• Be proactive and co-own the go to market strategy along with commercial stakeholders for multiple media channels/ and other data commercialization initiatives, and proactively help plan the right focus areas for the team, develop solutions and products to help build the roadmap and pipeline for commercial opportunities.
• Develop and implement predictive models, statistical algorithms, and machine learning models to support business needs.
• Develop and implement data visualizations using PowerBI/ Data Studio/QuickSight/ Tableau/ Excel to effectively communicate insights to stakeholders.
• Collaborate with cross-functional teams, including business analysts, product managers, and developers, to implement data-driven solutions.
• Stay up to date with emerging technologies, marketing technology platforms, omni-channel media and industry trends to identify new opportunities for improving data analytics and applications.
• Mentor and coach junior data scientists and data analysts to develop their skills and expertise.
• Bachelor s or Master s degree in data science/ engineering/ statistics/economics/ computer science/ mathematics, or a related field is a requirement.
• MBA/Business degree with strong background in technical understanding and hands-on expertise is preferable.
• Online media experience will be a strong advantage.
• 8+ years of experience as a data scientist or data analyst in marketing across any industry is a requirement.
• Strong proficiency in Python/ Pyspark/ SQL/ R is a requirement.
• Strong experience in story telling from data, analysis and insight is required.
• Commercial understanding, and having a balanced approach for go-to-market strategy is a requirement.
• Experience with machine learning algorithms and statistical modeling is a bonus.
• Strong communication skills and the ability to collaborate with cross-functional teams is a requirement.
• Proven ability to work independently and manage multiple projects simultaneously is a requirement.
• The candidate must display a high sense of accountability and be agile in handling high value projects, and be able to motivate the team to deliver as a shared objective with the commercial plan.
• Experience in mentoring and coaching junior/ senior DA/ DS is a requirement.

Experience:

7 years required

Skills:

Java, Oracle, SQL, English

Job type:

Full-time

• Gather requirement and perform impact analysis on the existing system functionalities with respect to the new proposed changes.
• Create Functional Specification (FS) documents and prepare data mapping specifications.
• Provide adequate support to the development team in analysis and design.
• Support Development team in SIT investigations.
• Support in UAT testing - responsible to investigate the issues raised in UAT, and to co-ordinate with users during the UAT phase for all techno-functional queries.
• Assist Project Manager in the delivery of the project and on the coordination with various stakeholders.
• Step in as a Technical Delivery Manager to manage the end-to-end delivery of the project, when demanded.
• Meticulously help the team in delivering the project within the committed timelines.
• Maintain the risks and issues tracker and see them to closure.
• Closely liaise with the business partners and vendors for any changes that is being raised in the regulatory risk domain for reporting purposes.
• Bachelor or Master Degree in Computer Science, Software Engineering, Computer Engineering ICT, IT or any related technical field.
• At least 7 years of experience in the role of System Analyst, IT Specialist, Programmer Analyst.
• Background in Java programming, Software Design.
• Knowledge in Oracle SQL, PLSQL and Unix.
• Ability to review code and coach junior developers in team.
• Good knowledge in financial market products.
• Ability to learn and adapt quickly to a changing environment.
• Able to work independently with minimum guidance.
• Have good communication skills (to work with various Teams including users).
• Able to organize and prioritize assignments in a fast-paced and deadline-oriented environment.
• Self-managed, team & result-oriented working style, friendly and compromise with Can-Do Attitude.
• Effective planning skill with managing people including stakeholders with senior management level.
• Fluent in English (Business Presentation proficiency).
• Familiar working with foreigner/expat, especially APAC Zone would be advantaged.
• Banking / Financial services background would be advantaged.