เงื่อนไขการค้นหา

ประสบการณ์:

3 ปีขึ้นไป

ทักษะ:

SQL, Excel, Tableau

ประเภทงาน:

งานประจำ

• Proficiently analyze intricate datasets to identify trends, patterns, and outliers.
• Unearth insightful correlations and present findings in a clear, understandable manner.
• Translate raw data into actionable insights that drive client business objectives.
• Engage with clients to understand their unique business needs and challenges.
• Translate client requirements into comprehensive project scopes and deliverables.
• Foster strong client relationships through effective communication and partnership.
• Leverage your analytical prowess to provide informed recommendations to clients.
• Collaborate with cross-functional teams to implement data-driven strategies.
• Contribute to client success by helping them make informed, growth-oriented decisions.
• Create visually compelling dashboards, reports, and presentations.
• Tailor data visualizations to resonate with both technical and non-technical audiences.
• Communicate complex insights using accessible and engaging visual aids.
• Identify operational inefficiencies within client workflows using data-driven insights.
• Propose process improvements and streamlined solutions to optimize client operations.
• Assist clients in adopting best practices for leveraging data effectively.
• Conduct thorough requirement elicitation sessions with clients.
• Document precise business and technical requirements for successful project execution.
• Ensure clear communication and alignment between stakeholders and technical teams.
• Bachelor s degree in a relevant field (Business, Data Science, etc.).
• Proven 3-5 years of experience as a Business Analyst, Data Analyst, or similar role.
• Proficiency in data analysis tools (SQL, Excel) and data visualization platforms (Tableau, Power BI).
• Strong problem-solving skills and the ability to think critically.
• Excellent communication skills for effective client interaction and team collaboration.
• Detail-oriented approach to ensure accurate and reliable insights.
• Ability to adapt to a fast-paced, dynamic work environment.
• Location: True Digital Park, Bangkok.

ทักษะ:

Industrial Engineering, Finance, Project Management

ประเภทงาน:

งานประจำ

• 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. .

ประสบการณ์:

3 ปีขึ้นไป

ทักษะ:

Data Analysis, SQL, Compliance

ประเภทงาน:

งานประจำ

• Understand customer experience design and user experience principles.
• Possess a good understanding of digital developments and customer expectations regarding digital banking products and services in the Thai market.
• Translate business needs into clear data and AI use cases, collaborating with data engineers and AI engineers to ensure business alignment.
• Act as a bridge between data engineering teams and business stakeholders to align technical implementation with strategic goals.
• Experience in working with and analysing third-party APIs required for core banking.
• Ability to facilitate workshops, design sessions, and gather requirements from Business, Technology teams, SMEs, stakeholders, and senior project leadership.
• Highly skilled in creating high-quality documents such as Business Requirements Documents (BRDs), Functional Specification Documents (FSDs), and Technical Specification Documents (TSDs).
• Understand the end-to-end functional and data flow of the product or application.
• Experience in data analysis with intermediate to advanced SQL knowledge to analyse business data in underlying systems and databases.
• Experience in Core Banking projects, Open banking, and regulatory and compliance knowledge in the Thai market is highly preferable.
• Proficient in Agile methodologies, including User Story Mapping, Backlog Prioritization, and program management.
• Possess a good understanding of Mobile Apps, mobile operating systems, and digital banking/finance apps in the market.
• Overall, 3-6 years of experience with strong business knowledge of digital banking services and a good understanding of wholesale and retail banking product portfolios in Thailand.
• Proven interpersonal, data analysis, diplomatic, management, and prioritization skills.
• Consistently demonstrate clear and concise written and verbal communication.
• Proven ability to manage multiple activities, build and develop working relationships.
• Demonstrated self-motivation to take initiative and quickly master new tasks.
• Ability to work under pressure to meet tight deadlines and approach work methodically with attention to detail.
• Experience with tools like SharePoint, Jira, ADO, and Confluence.
• Good to have exposure to Cloud platforms (Azure, AWS, GCP, OCI, etc.).
• Strong analytical mindset with the ability to break down complex business problems.
• Prior experience in mobile banking is a plus.
• Excellent written and verbal communication skills.

ประเภทงาน:

งานประจำ

• Commercial Analytics & Reporting.
• Sales & Margin Performance: Build Buyer/Category scorecards & performance tracking solutions. Enforce guardrails, auto-alerts and precise.
• Price & Promo Science: Develop price index, price elasticity and set price/promo guardrails by category, channel, and region.
• Customer Targeting & Marketing Automation: Operationalize segmentation for precise targeting across CRM/push/paid. Automate pipelines, bot-pushed insights to improve campaign ROI..
• Forecasting & Modelling.
• Demand outlook: Clear view of expected sales by category, channel, and region across seasons, paydays, and events and early-warning signals.
• Price & promo outlook: Simulate sales and margin under different price points and promo plans; recommended actions and trade-offs by category.
• Customer & campaign outlook: Expected acquisition, repeat, and retention by segment; projected lift from campaigns, placements, and assortment changes.
• Data Governance & Enablement.
• Single source of truth: Certified datasets and KPI glossary with role-based access; privacy aligned to PDPA/GDPR.
• Quality & controls: Data contracts, lineage, retention, and periodic checks; clear model/decision standards and auditability..
• Team Leadership.
• People & practices: Mentor analyst, review code/notebooks/queries, and uphold documentation and reproducibility standards.
• Stakeholder impact: Coach Commercial, Marketing, Finance & other stakeholders KPI interpretation; dashboard, model walkthroughs.
• 6-10 years in Retail/E-commerce/CPG/ Consulting/ large MNCs with hands-on experience on developing commercial solutions and reporting.
• Strong SQL and Python; with expert proficiency in Power BI and working knowledge of Databricks/Fabric/Spark.
• Proven track record turning analysis into commercial actions and executive-ready storytelling through reports.
• Master s degree in a quantitative field (e.g., statistics, economics, mathematics, business administration, marketing).
• Experience in AI & automation: GenAI/LLM copilots, decision bots, and pipeline automation (Power Platform/Fabric) etc., will be an added advantage.

ทักษะ:

Market Analysis, Statistics, Finance

ประเภทงาน:

งานประจำ

• Partner with senior management to develop and implement initiatives that drive operational efficiency, innovation, process improvement, and retail productivity.
• Apply strong analytical skills and domain knowledge in financial data, trend analysis, and location intelligence to translate complex data into actionable business insights.
• Design and deliver reports, presentations, and dashboards to support project trials, rollouts, and performance tracking.
• Define key performance measures, supervise capacity and service status, and assess risk levels across infrastructures, addressing issues with relevant teams and progressing open actions.
• Demonstrate basic understanding of the retail business landscape and conduct competitor and market analysis to support strategic decision-making.
• Collaborate with cross-functional stakeholders to ensure alignment with business objectives, process standards, and budget goals.
• Lead analysis of key metrics and develop business performance dashboards (KPIs).
• Promote data integrity and establish best practices for data mining, reporting, and visualization.
• Present findings and recommendations to management and provide initial consultation on data-driven decisions..
• Bachelor s or Master s degree in one of the following fields: Data Analytics, Business Analytics, Statistics, Engineering, Computer Science, Economics, and Finance.
• Strong proficiency in data analysis and visualization tools: Power BI, SQL, Excel (advance functions).
• Proficient in advanced statistical techniques such as correlation, regression, and clustering..
• Strong ability to translate data insights into business strategies and actionable recommendations.
• Excellent presentation, communication, and storytelling skills ability to translate data into strategic insights.
• Analytical, detail-oriented, and capable of managing multiple priorities.
• Collaborative mindset with a focus on continuous improvement and innovation and able to work under pressure with a strong business-partnering mindset.
• Six Sigma Green Belt certification is an advantage..
• 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:

Problem Solving, English

ประเภทงาน:

งานประจำ

• Be a liaison between technology team and business units for business strategy implementation and business improvement with the right use of technology.
• Gather, analyze, plan and prioritize requirements of the project in close collaboration with the business stakeholder.
• Create and maintain business requirements document including business workflow and data flow diagram which can be understandable by business and technical team.
• Provide the end to end solution analysis by identifying business need, business constraints, business impacts and new opportunities which may have in the future.
• Work with UX/UI to design user flows and make recommendations to improve and support business systems to deliver greater effectiveness and efficiency.
• Present requirements and solution to stakeholders for approval process or program design and development.
• Bachelor degree or Master degree in MBA, Computer Science, MIS or related field.
• At least 8 years of experience in role of Business or System Analyst.
• Have experience in Banking or Financial industry is a plus.
• Strong problem solving and analytical skills combined with an ability to communicate with more technical IT teams or related parties.
• Excellent communication and presentation skills.
• Good in English.

ทักษะ:

Statistics, Finance, SQL

ประเภทงาน:

งานประจำ

• วุฒิการศึกษาระดับปริญญาตรีขึ้นไป ในสาขา Data Science, Computer Science, Statistics, Business Analytics หรือสาขาที่เกี่ยวข้อง.
• มีประสบการณ์วิเคราะห์ข้อมูลอย่างน้อย 3 ปี (5+ ปี สำหรับตำแหน่ง Senior) โดยเฉพาะในธุรกิจการเงินหรือธนาคาร.
• มีความรู้ความเข้าใจเกี่ยวกับผลิตภัณฑ์ของ SME / Corporate Banking เช่น Lending, Trade Finance, Treasury.
• มีทักษะในการใช้ SQL อย่างคล่องแคล่ว และใช้เครื่องมือวิเคราะห์เช่น Python, Power BI, Tableau หรืออื่นๆ.
• มีประสบการณ์ในการทำงานร่วมกับ Stakeholders ฝ่ายธุรกิจหรือผู้บริหาร.
• หากมีประสบการณ์ใน Data Modeling, Machine Learning หรือ Cloud Platforms (เช่น GCP, AWS, Azure) จะได้รับการพิจารณาเป็นพิเศษ.
• มีความคิดเชิงวิเคราะห์ดีเยี่ยม และสามารถเล่าเรื่องด้วยข้อมูลได้อย่างชัดเจน (Data Storytelling)..
• ท่านสามารถอ่านและศึกษานโยบายความเป็นส่วนตัวของธนาคารกรุงไทย จำกัด (มหาชน) ที่ https://krungthai.com/th/content/privacy-policy ทั้งนี้ ธนาคารไม่มีเจตนาหรือความจำเป็นใดๆ ที่จะประมวลผลข้อมูลส่วนบุคคลที่มีความอ่อนไหว รวมถึงข้อมูลที่เกี่ยวข้องศาสนาและ/หรือหมู่โลหิต ซึ่งอาจปรากฏอยู่ในสำเนาบัตรประจำตัวประชาชนของท่านแต่อย่างใด ดังนั้น กรุณาอย่าอัปโหลดเอกสารใดๆ รวมถึงสำเนาบัตรประจำตัวประชาชน หรือกรอกข้อมูลส่วนบุคคลที่มีความอ่อนไหวหรือข้อมูลอื่นใด ซึ่งไม่เกี่ยวข้องหรือไม่จำเป็นสำหรับวัตถุประสงค์ในการสมัครงานไว้บนเว็บไซต์ นอกจากนี้ กรุณาดำเนินการให้แน่ใจว่าได้ดำเนินการลบข้อมูลส่วนบุคคลที่มีความอ่อนไหว (ถ้ามี) ออกจากเรซูเม่และเอกสารอื่นใดก่อนที่จะอัปโหลดเอกสารดังกล่าวไว้บนเว็บไซต์แล้วด้วย ทั้งนี้ ธนาคารมีความจำเป็นต้องเก็บรวบรวมข้อมูลส่วนบุคคลเกี่ยวกับประวัติอาชญากรรมของท่านเพื่อบรรลุวัตถุประสงค์ในการพิจารณารับบุคคลเข้าทำงาน หรือการตรวจสอบคุณสมบัติ ลักษณะต้องห้าม หรือพิจารณาความเหมาะสมของบุคคลที่จะให้ดำรงตำแหน่ง ซึ่งการให้ความยินยอมเพื่อเก็บรวบรวม ใช้ หรือเปิดเผยข้อมูลส่วนบุคคลเกี่ยวกับประวัติอาชญากรรมของท่านมีความจำเป็นสำหรับการเข้าทำสัญญาและการได้รับการพิจารณาตามวัตถุประสงค์ดังกล่าวข้างต้น ในกรณีที่ท่านไม่ให้ความยินยอมในการเก็บรวบรวม ใช้ หรือเปิดเผยข้อมูลส่วนบุคคลเกี่ยวกับประวัติอาชญากรรม หรือมีการถอนความยินยอมในภายหลัง ธนาคารอาจไม่สามารถดำเนินการเพื่อบรรลุวัตถุประสงค์ดังกล่าวข้างต้นได้ และอาจ ทำให้ท่านสูญเสียโอกาสในการได้รับการพิจารณารับเข้าทำงานกับธนาคาร ".

ประสบการณ์:

3 ปีขึ้นไป

ทักษะ:

Finance, Project Management, English

ประเภทงาน:

งานประจำ

• Provide analysis and summary of information for executives and those involved the overall strategic management decisions.
• Manage data preparation and provide solutions to the problems that occurred in various team, both internally and externally, including business partners.
• Prepare business goals and monitor sales performance record according to the plan including re-forecast in accordance with the situation to estimate insurance premiums, income that the bank expects to receive in accordance with the business plan.
• Qualifications Bachelor s degree or higher in Marketing, Insurance, Economics, Finance, Business Administration, or a related field.
• At least 3 years of experience in Performance Management and MIS.
• Strong analytical, problem-solving, and project management skills.
• Results-driven with insurance business acumen.
• Proficiency in written and spoken English.
• We're committed to bringing passion and customer focus to the business. If you like wild growth and working with happy, enthusiastic over-achievers, you'll enjoy your career with us.

ทักษะ:

Data Analysis, Research, Excel

ประเภทงาน:

งานประจำ

• Collect and update key product items required for competitive price survey comparisons across DF, FF, and GNM product groups in BHP, BMK, BFP, and BCM.
• Analyze weekly Price Index and summarize key findings on whether products are priced as expected, are outliers, or have significant data worth sharing with relevant stakeholders (e.g., Trade Plan, Merchandiser, Buyer).
• Competitor activities and campaigns across different retail formats.
• Brand movements and positioning in the competitive landscape.
• This includes analyzing sales impact, customer engagement, campaign formats, and preparing systematic performance reports..
• Monitor and evaluate competitor trade activities (e.g., sales promotions, pricing strategies, distribution, etc.) and use insights to assess business opportunities, enhance development strategies, and improve competitiveness.
• Provide data-driven recommendations (both format and commercial) on trade activities to enhance product listing proposals and decision-making efficiency.
• Bachelor s degree in any related field.
• Minimum 8 years of experience in Data Analysis, Trade Planning, Price Analysis in Retail, FMCG, or Research agency is a plus.
• Experience in FMCG Retail data analysis and management.
• Proficient in Excel, Power BI, and Tableau.

ทักษะ:

Market Research, Research, Finance, English

ประเภทงาน:

งานประจำ

• Conduct market research and analyze demographics, competitors, and trade areas to assess potential store sites.
• Perform feasibility studies including sales forecast, CAPEX/OPEX estimation, ROI, and payback period analysis.
• Prepare and present business cases and recommendations to management for site approval.
• Develop and maintain project programs/timelines in collaboration with internal teams (Store Development, Construction, Operations).
• Track project progress against agreed milestones and provide regular status reports.
• Coordinate with cross-functional teams to ensure feasibility findings are aligned with operational and financial requirements.
• Support continuous improvement of feasibility models, templates, and databases.
• Provide ad-hoc analysis to support decision-making for relocation, renovation, and expansion projects.
• Bachelor s degree or higher in Business Administration, Economics, Finance, Engineering, or related fields.
• 3-5 years of experience in feasibility studies, financial analysis, real estate development, or business planning.
• Ability to plan, organize, and prioritize responsibilities in order to consistently meet deadlines.
• Interpersonal skill, approachable and trustworthy, builds constructive, and effective relationships.
• Strong English Communication skills (written & presentation) to proactively communicate in a variety of settings, adjusting to audience, and bringing message across.
• 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:

Research, eCommerce

ประเภทงาน:

งานประจำ

• Conduct competitor benchmarking and industry research to identify trends, best practices, and opportunities in ecommerce/omni-channel retail.
• Analyze ecommerce business performance, customer behaviors, and market data to provide insights that strengthen strategic decision-making.
• Assist in developing business cases and product proposals for new features, functions, and services across the ecommerce business unit.
• Collaborate with cross-functional teams (Tech, Marketing, Operations, Merchandise) to gather data and insights to support product roadmaps.
• Prepare clear and concise reports, dashboards, and presentations for leadership teams to guide business and product strategy.
• Monitor and evaluate the performance of ongoing initiatives; recommend optimization plans and process improvements.

ประเภทงาน:

งานประจำ

• ออกแบบและดำเนินการวิเคราะห์ข้อมูลเชิงลึก เพื่อสนับสนุนกลยุทธ์องค์กรและเพิ่มประสิทธิภาพในเรื่องต่างๆ เช่น: การตรวจสอบและลดปัญหา Frauded, การวางแผนเพื่อ Optimization.
• สร้าง Dashboard และรายงานแบบ Interactive โดยใช้ Power BI.
• สร้างแบบจำลองทางสถิติ / Machine Learning สำหรับวิเคราะห์ เช่น Sales Forecast, Fuel Consumption T_rends, Customer Segmentation หรือ Anomaly Detection.
• แปลง Pain Point ทางธุรกิจให้เป็นโจทย์วิเคราะห์ข้อมูล และนำเสนอ Insight ที่ actionable และ measurable.
• ร่วมกำหนด KPI และวาง Data Strategy ร่วมกับทีมธุรกิจและน้องๆ ในทีม.
• ถ่ายทอดผลการวิเคราะห์ให้ทีมปฏิบัติการเข้าใจง่าย พร้อมแนวทางการแก้ปัญหาที่นำไปใช้ได้จริง.
• ปริญญาโทขึ้นไปในสาขา Data Science, Statistics, Computer Science, Business Analytics หรือสาขาอื่นที่เกี่ยวข้อง.
• มีประสบการณ์อย่างน้อย 5-10 ปี โดยเฉพาะในบริบทธุรกิจจริง เช่น retail, logistics.
• เชี่ยวชาญการสร้าง Dashboard ด้วย Power BI, Tableau หรือเครื่องมือใกล้เคียง.
• มีทักษะเขียนโปรแกรมและวิเคราะห์ข้อมูลด้วย Python, R, SQL.
• มีความรู้เรื่อง Machine Learning และสามารถใช้ Libraries เช่น scikit-learn, XGBoost, PyTorch ได้.
• มีประสบการณ์ในการทำ Forecasting, Clustering และ Predictive Analytics.
• มีทักษะการคิดเชิงวิเคราะห์สูง สามารถเชื่อมโยงข้อมูลกับบริบทธุรกิจได้ดี.
• หากมีประสบการณ์กับ Cloud Platform เช่น AWS, GCP, Azure จะได้รับการพิจารณาเป็นพิเศษ.

ทักษะ:

Express, SQL, Excel, English

ประเภทงาน:

งานประจำ

• Analyze internal and external data (generally with SQL, Excel, Python).
• Apply structured framework to estimate hard-to-find information and deliver original insights.
• Improve existing estimation and forecast solutions by scrutinizing current assumptions, identifying how our understanding would change if assumptions change, and quantifying these uncertainty (i.e. sensitivity analysis).
• Translate complex data analysis into accessible business-focused reports and recommendations.
• Present results to senior management on a regular basis.
• Serving as in-house consultant for data-driven solutions.
• Collaborate with stakeholders to build analytics capabilities.
• Requirements: Bachelor's degree or higher in a relevant field of study.
• Experience working with one or more languages for querying and analysis (e.g. SQL, Python).
• Strong analytical skills and must be comfortable with analysis of quantitative data.
• Good structural thinker.
• Experience working with multiple stakeholders across various divisions.
• Satisfactory understanding in English.
• Self-driven with willingness to learn and improve.
• Strong sense of responsibility and ability to work in fast-paced and growth changed environment.
• Experience working with unstructured data is not necessary but is a plus.

ทักษะ:

SAS, SQL, Tableau

ประเภทงาน:

งานประจำ

• Produce daily, weekly, monthly business report for the Collections Department.
• Develop and automated data processes, including routine and ad-hoc reports, to improve efficiency.
• Coordinated cross-functional teams to define business objectives and present complex data insights clearly.
• Analyzed and improved existing business reports and provided support for problem-solving and new business requirements.
• Enhance collector performance by implementing report for performance tracking, involving requirements gathering and report template design by using tools such as SAS.
• Design and develop data visualization, dashboards, to support business comprehend data and make critical decisions.
• Estimate costs and benefits for incentive schema of the Collections Department.
• Bachelors and / or Masters degree in any field.
• 3+ years experience as MIS.
• Experience in using SAS, SQL, Powe BI, Tableau, Access and Excel (Pivot, VLOOKUP).

ทักษะ:

Data Analysis, Big Data, Statistics, English

ประเภทงาน:

งานประจำ

• Work collaboratively with data engineers and data architects to acquire new data from internal and external source systems.
• Support business initiatives and projects by performing data wrangling and exploratory data analysis, discovering trends and patterns, building predictive models and machine learning algorithms, etc., based on the CRISP-DM methodology and agile approach.
• Stay up to date with big data and analytical techniques, such as machine learning, d ...
• Provide analytics expertise, directions and guidance to business leads through turning insights into business action so as to improve sales and customer profitability.
• Present summary of analyses including data monetization on large datasets using advanced analytics tools and data visualization techniques.
• Lead implementation of AI models and business rules incorporated in automated business processes.
• Bachelor's degree or higher in Data Science, Statistics or related fields.
• AI and machine learning professional certification.
• More than 3-5 years of experience in data science and big data using tools, e.g., SPSS, SAS, Alteryx, Spark, Jupyter Notebook and Databricks.
• Excellence communication in Thai and English.

ทักษะ:

Finance, Excel, Power BI, English

ประเภทงาน:

งานประจำ

• Education: Bachelor s degree in business, Finance, Economics, Data Science, Information Technology, or a related quantitative field.
• Experience: 0-3 years of experience in project coordination, business analysis, or a related role (experience in pricing, retail, or e-commerce is an advantage).
• Stakeholders to work with: Commercial.
• Proficiency in Excel (advanced functions, pivot tables).
• Familiarity with data visualization tools (e.g., Power BI, Tableau) is a plus.
• Exposure to project management software.
• Basic understanding of databases.
• Strong analytical.
• Excellent communication (written and verbal) and interpersonal skills.
• Attention to detail and organizational skills.
• Ability to work effectively in a fast-paced, cross-functional environment.
• Proactive and eager to learn new technologies and processes.
• Language Proficiency (Thai & English)..

ทักษะ:

Compliance, Data Analysis

ประเภทงาน:

งานประจำ

• Preparing data and, ensuring data accuracy to evaluate Agent performance on quarterly basis.
• Verify working standard compliance and summarize issue of all Agents in form of presentation.
• Summarize for the payment of benefits and compensation to Agents, including documenting exceptions/conditions, and compiling complete supporting payment documentation.
• Collect, organize, and prepare supporting data sets to create Presentations for meetings with Agents and the Sales Team.
• Bachelor s Degree in Business Management or related.
• 1-2 Years in Sales Operation or Commercial support.
• Strong foundation in data analysis and processing, with a high proficiency in working with numbers.
• Highly detail-oriented with extreme focus on data accuracy.
• Proficient in using Microsoft Excel or Google Sheets for data manipulation and summarization.
• Skilled in creating presentations (Presentation/PowerPoint) to clearly communicate complex data.

ประเภทงาน:

งานประจำ

• Collaborate with business stakeholders to gather, analyze, and document requirements for lending products and digital core banking initiatives.
• Evaluate feasibility, assess impacts, and propose effective solutions to meet business objectives.
• Act as liaison between business teams, technology teams, and vendors to ensure alignment on requirements and deliverables.
• Supervise and mentor junior analysts in conducting requirement workshops, documentation, and validation.
• Product & Backlog Management.
• Prioritize product backlogs in alignment with business urgency and technical feasibility.
• Define detailed functional and technical requirements, working closely with development teams for accurate implementation.
• Serve as the main point of contact to resolve misalignments between business stakeholders and technology teams.
• Testing & Quality Assurance.
• Lead and manage end-to-end testing activities, including test planning, execution, and defect resolution, to ensure system features meet requirements.
• Coordinate with vendors and internal teams to provide workarounds for production incidents and design long-term preventive solutions.
• Data Migration & System Integration.
• Lead data migration planning and execution for large-scale lending product migrations (e.g., legacy to new systems).
• Design and oversee reconciliation, validation, testing, and rollback strategies for data migration.
• Translate user requirements for migration enhancements into clear, actionable specifications for vendors.
• Bachelor s degree in Business Administration, Finance, Information Technology, or related field.
• 5-8 years of experience as a Business Analyst, Product Manager, or Consultant in the financial services or banking industry.
• Strong domain knowledge in lending products (credit cards, unsecured loans, personal loans).
• Proven experience in digital core banking transformation, system implementation, or large-scale data migration projects.
• Excellent stakeholder management, vendor coordination, and cross-functional leadership skills.
• Strong analytical and problem-solving abilities, with experience in Agile or hybrid project delivery methodologies.
• Proficiency in requirement documentation, backlog management, and test management tools.

ทักษะ:

SQL

ประเภทงาน:

งานประจำ

• Prepare and present customer segmentation performance summaries, highlighting key behavioral drivers, segment detractors and channel-specific insights including online, offline and O2O trends.
• Provide customer-targeted insights and deep-dive analyses to address stakeholders specific business questions.
• Analyze market and customer data to identify segment opportunities, customer growth and engagement.
• Develop, write and optimize SQL queries to extract, clean, and transform large and complex datasets into actionable insights.
• Design, build and maintain interactive dashboards and reports to monitor key business metrics.

ทักษะ:

SAP, Power BI

ประเภทงาน:

งานประจำ

• รายงานยอดขาย, รายงานส่วนแบ่งการตลาด, ข้อมูลเป้าหมายสินค้า, ข้อมูลประกอบการพิจารณา Incentive และข้อมูลโควต้าการสั่งซื้อสินค้า.
• ออกแบบและร่วมจัดทำเครื่องมือเชิงวิเคราะห์เพื่อสนับสนุนการทำงานของทีมขาย Alcohol และ Non-Alcohol.
• Stock Dashboard, Market share Dashboard, Competitor Dashboard, Area Analysis Report, Boonrawd Activity Dashboard, SAP Dashboard, Concessionaire Dashboard, Non-Alcohol Dashboard, GP Power BI Dashboard.
• สรุปความเคลื่อนไหวกิจกรรมของบริษัทฯ และคู่แข่ง พร้อมจัดทำรายงานและนำเสนอกับทีมขายและฝ่ายต่างๆ ที่เกี่ยวข้อง.
• รวบรวม ตรวจสอบ และสรุปข้อมูล/ข่าวสาร เพื่อให้ข้อมูลมีความถูกต้อง ชัดเจน และสามารถนำไปใช้งานได้อย่างมีประสิทธิภาพ.
• สรุปผลการดำเนินงาน พร้อมทำรายงานต่างๆ ที่เกี่ยวข้องกับการปฏิบัติงาน เพื่อรายงานแก่ผู้บังคับบัญชา.
• งานอื่นๆ ตามที่ได้รับมอบหมาย.
• Specification.
• ปริญญาตรีขึ้นไป ในสาขาคณิตศาสตร์ หรือสาขาอื่นๆ ที่เกี่ยวข้อง.
• มีประสบการณ์ที่เกี่ยวข้องในตำแหน่งงาน 1-3 ปีขึ้นไป และหากมีประสบการณ์ทางด้านจัดการข้อมูล การวิเคราะห์ หรือทักษะการใช้งานโปรแกรม SAP และ Power BI จะได้รับการพิจารณาเป็นพิเศษ.
• มีทักษะการใช้ Computer ธุรกิจ (Microsoft Office) เป็นอย่างดี.