เงื่อนไขการค้นหา

ทักษะ:

Data Analysis, Statistics

ประเภทงาน:

งานประจำ

• งานวิเคราะห์และพัฒนาแบบจำลองความเสี่ยง.
• วิเคราะห์และพัฒนาแบบจำลองการบริหารความเสี่ยงด้านสินเชื่อต่างๆ ด้าน Non Retail Credit Model เพื่อใช้เป็นเครื่องมือในการควบคุมความเสี่ยงให้อยู่ในระดับ ที่ธนาคารกำหนด และลดความสูญเสียในการพิจารณาสินเชื่อ.
• ประเมินค่าความสูญเสียที่เกิดจากการให้สินเชื่อ (Credit Loss Model) รวมทั้ง ศึกษาปัญหา และปัจจัยต่าง ๆ ที่ก่อให้เกิดความสูญเสียจากการให้สินเชื่อ.
• ติดตามและทดสอบความเหมาะสมของปัจจัย ต่างๆ และแบบจำลอง เพื่อปรับแบบจำลอง/เครื่องมือที่ใช้ในการพิจารณาสินเชื่อให้มีประสิทธิภาพอย่างต่อเนื่อง.
• ศึกษาจัดทำ และให้การสนับสนุนการพัฒนาระบบบริหารความเสี่ยงด้านสินเชื่อต่างๆ.
• ศึกษา Risk & Return ในมิติต่างๆ เพื่อใช้ประกอบการให้ความเห็นในการออกผลิตภัณฑ์สินเชื่อ รวมถึงการดำเนินการนำระบบออกใช้ และติดตามการใช้.
• ร่วมกับหน่วยงาน IT ของธนาคารจัดสรร และบริหารข้อมูลความเสี่ยงด้านสินเชื่อให้มีประสิทธิภาพเพื่อใช้เป็นแนวทางการพัฒนาเครื่องมือการพิจารณาสินเชื่อ.
• ประสานงานกับหน่วยงานที่เกี่ยวข้อง เพื่อวางกลยุทธ์ในการจัดทำ และการนำ Credit Model ไปใช้งานให้มีประสิทธิภาพสูงสุด งานวิเคราะห์พัฒนาและติดตามระบบงานความเสี่ยงด้านสินเชื่อ.
• วิเคราะห์พฤติกรรมลูกค้าและประเมินความน่าจะเป็นที่ลูกหนี้จะผิดนัดชำระหนี้.
• พัฒนาเครื่องมือ หรือระบบเตือนภัย (Early Warning System).
• ติดตาม Credit Exposure ในมุมการควบคุมต่างๆ เช่น การกำกับลูกหนี้รายใหญ่ของธนาคาร (Single LendingLimit) เป็นต้น.
• เป็นศูนย์กลางพัฒนาและติดตามการใช้งานระบบแบบจำลองความเสี่ยงด้านสินเชื่อ รวมทั้งกำหนดสิทธิ์และระดับการเข้าใช้งานระบบฯ.
• ประสานงานระหว่างผู้ใช้ และหน่วยงาน IT เพื่อให้การสนับสนุนทุกด้านเกี่ยวกับการใช้งานระบบฯ ตลอดจนการปรับปรุงแก้ไขระบบงานฯ.
• กำหนด และรวบรวมระเบียบการปฏิบัติงานที่เกี่ยวข้องเพื่ออ้างอิง และปรับปรุงแก้ไขให้เป็นปัจจุบันอยู่เสมอ.
• ควบคุมดูแลผู้ใช้ระบบ และกำหนดมาตรฐานการบันทึกข้อมูลในระบบงานฯ ให้ถูกต้อง.
• บริหารข้อมูลที่มีอยู่ในระบบเพื่อนำมาใช้ในเชิงวิเคราะห์ และ สรุปผลงาน/รายงานต่าง ๆ ที่เกี่ยวข้องให้กับธนาคาร..
• มีประสบการณ์ในการพัฒนา credit risk models, risk pricing models การวิเคราะห์ข้อมูล และการเขียน computer programming.
• มีความรู้ที่จำเป็นต่อ model development และ maintenance ได้แก่ ความรู้เกี่ยวกับการพัฒนาแบบจำลองและสถิติ (Modelling, Statistics) การวิเคราะห์ข้อมูลขนาดใหญ่ (Data Analytics, Big Data) และ computer programming (e.g. Data Science) และมีความรู้อย่างน้อยอย่างใดอย่างหนึ่ง ต่อไปนี้ เช่น แบบจำลองความเสี่ยงด้านสินเชื่อ (Credit Risk Modelling, IFRS9, Basel, Credit Rating, Credit Pricing Model) การวิเคราะห์ข้อมูลด้านความเสี่ยงสินเชื่อ (Credit Risk Analysis) ความรู้ทางด้านเศรษฐศาสตร์การเงินและเศรษฐกิจมหภาค และการจัดการข้อมูล (MIS, Data Engineering).
• มีวุฒิการศึกษาระดับปริญญาโทขึ้นไป ด้าน Statistics, Econometrics, Data Science, Data Analytics, Computer Science, Computer Engineering, Operational Research, Risk Analytics/Modelling, Mathematical Finance, Financial Engineering, Economics, MIS หรือสาขาที่เกี่ยวข้อง.

ทักษะ:

Automation, Javascript, Data Analysis, English

ประเภทงาน:

งานประจำ

• Learn about and understand core issues affecting the business, identify opportunities for improvement, and develop testable hypotheses to fix the problem.
• Support product initiatives and ensure good coordination and collaboration between the teams in various Agoda's departments as well as within the CEG organization to achieve projects milestones and goals.
• Lead operational flows configuration analysis aiming at processes improvement, automation of activities and implementation of new product improvements.
• Translate, improve, and encode existing process flows on the agent interface software using low-code products, or utilizing pieces of pre-defined code and logic statements. Note that hands-on encoding (using a tool built on top of JavaScript) can be >60% of work during a certain stage of the project.
• Lead User Acceptance Testing (UAT) with selected teams and launch new processes globally.
• Analyze data to ensure that the outputs of processes are achieved; identify key issues and risks, report accordingly to management and propose solutions to be implemented.
• Ensure constant communication between project teams and other stakeholders.
• Resolve problems through data analysis, provide efficient reporting and effective communication.
• Work closely with Product Management/Engineering/Tech to improve the tool for end users.
• This is a hands-on role where you often have to build on a low-code/simplified JavaScript tool and/or conduct many of your own data analyses (primarily SQL, Metabase, & Tableau).
• Experience in project/program management, software development, process flow automation development, management consulting, finance, or data-heavy operations.
• Familiar with operational process configuration tools, e.g., MS Visio, agent guidance software, low-code development, basic computer programming.
• Able to analyze business challenges with a data-driven approach and communicate actionable recommendations to business leaders.
• Analytical and able to define analysis structure and interpret data. Ideally, you have some programming background.
• Skilled at statistical software e.g. SQL, VBA, SAAS, Tableau, etc.
• Programming skills (JavaScript, Python, etc.).
• Comfortable with uncertainty and experimentation.
• Proven track record of developing and implementing action plans to achieve business objectives with clear and tangible metrics.
• Strong English communication skills (additional language is a plus), conceptual ability and ability to work with stakeholders at all levels.
• Experience in project/stakeholder management, process improvement, planning, and performance management.
• Able to work in a fast-paced, dynamic, multicultural environment.
• Take initiatives and look for opportunities for improvements. Willing to take and give feedback to colleagues.
• Detail-oriented, hands-on with the ability to complete tasks with speed and accuracy.
• What we offer.
• Competitive compensation package (relocation support for successful overseas candidates).
• Exciting, high impact career opportunity including moves between teams and global locations. You will be interacting with departmental senior leadership team regularly.
• Dynamic multinational working environment with colleagues of diverse educational and professional background.
• Continuous learning and development opportunities through corporate learning programs.
• Modern office space and convenient location at the heart of Bangkok metropolitan.
• This role can serve as a good transition from software engineering/technical field to business, and vice versa.
• PRJM.
• 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.
• Disclaimer.
• We do not accept any terms or conditions, nor do we recognize any agency's representation of a candidate, from unsolicited third-party or agency submissions. If we receive unsolicited or speculative CVs, we reserve the right to contact and hire the candidate directly without any obligation to pay a recruitment fee.

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.

ประสบการณ์:

3 ปีขึ้นไป

ทักษะ:

Finance, SQL, Tableau

ประเภทงาน:

งานประจำ

• Work closely with a diverse set of stakeholders in Finance and other parts of the organization.
• Consult stakeholders to propose the best suited data solution.
• Build end-to-end solutions including data workflows, dashboards, reports etc.
• Become familiar with financial data ecosystem at Agoda.
• Help the Finance Analytics team drive value for the Finance department and Agoda as a whole.
• Undergraduate degree.
• 3+ years of relevant experience using Business Intelligence (BI) & analytics tools (like SQL, Tableau, Metabase, or similar).
• Experience in ETL tools, data modelling and have proficient knowledge of SQL and Relational Databases: the ability to write, execute and interpret queries is essential.
• Quick learner, problem-solving aptitude, effective prioritization, proactive and strong attention to detail.
• High sense of ownership and growth mindset, ability to be self-directed.
• Ability to understand business questions/requests and be able to suggest proper BI solutions which are measurable and scalable.
• Excellent communication skills and ability to influence peers and build strong relationships within Finance and cross-functionally.
• Advanced Excel modelling (OLAP cubes & VBA a bonus).
• Accounting/Financial knowledge and commercial acumen.
• Solid technical/functional knowledge in statistics.
• Familiarity with scrum/agile methodology.
• Other helpful skills - T-SQL, batch scripting, ODBC, data mining, Hadoop.
• Experience with Wallet and Financial Payment systems, including integration and data analysis.
• Understanding of digital payment processes and financial transaction data.
• 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.
• Disclaimer.
• We do not accept any terms or conditions, nor do we recognize any agency's representation of a candidate, from unsolicited third-party or agency submissions. If we receive unsolicited or speculative CVs, we reserve the right to contact and hire the candidate directly without any obligation to pay a recruitment fee.

ทักษะ:

Big Data, Hive, SAS

ประเภทงาน:

งานประจำ

• Experience migrating from on-premise data stores to cloud solutions.
• Knowledge of system design and platform thinking to build sustainable solution.
• Practical experience with modern and traditional Big Data stacks (e.g BigQuery, Spark, Databricks, duckDB, Impala, Hive, etc).
• Experience working with data warehouse solutions ELT solutions, tools, and techniques (e.g. Airflow, dbt, SAS, Matillion, Nifi).
• Experience with agile software delivery and CI/CD processes.
• Bachelor's or Master's degree in computer science, statistics, engineering, or a related field.
• At least 3 years of experience in data analysis and modeling.
• Proficiency in Python, and SQL.
• Experience with data visualization tools such as Tableau, Grafana or similar.
• Familiarity with cloud computing platforms, such as GCP, AWS or Databricks.
• Strong problem-solving skills and the ability to work independently as well as collaboratively.
• Growth Potential: This role offers a clear path to advance into machine learning and AI with data quality and management, providing opportunities to work on innovative projects and develop new skills in these exciting fields..
• Contact: [email protected].
• You have read and reviewed Infinitas By Krungthai Company Limited's Privacy Policy at https://krungthai.com/Download/download/DownloadDownload_73Privacy_Policy_Infinitas.pdf. The Bank does not intend or require the processing of any sensitive personal data, including information related to religion and/or blood type, which may appear on copy of your identification card. Therefore, please refrain from uploading any documents, including copy(ies) of your identification card, or providing sensitive personal data or any other information that is unrelated or unnecessary for the purpose of applying for a position on the website. Additionally, please ensure that you have removed any sensitive personal data (if any) from your resume and other documents before uploading them to the website.
• The Bank is required to collect your criminal record information to assess employment eligibility, verify qualifications, or evaluate suitability for certain positions. Your consent to the collection, use, or disclosure of your criminal record information is necessary for entering into an agreement and being considered for the aforementioned purposes. If you do not consent to the collection, use, or disclosure of your criminal record information, or if you later withdraw such consent, the Bank may be unable to proceed with the stated purposes, potentially resulting in the loss of your employment opportunity with.".

ประเภทงาน:

งานประจำ

• ออกแบบและดำเนินการวิเคราะห์ข้อมูลเชิงลึก เพื่อสนับสนุนกลยุทธ์องค์กร และเพิ่มประสิทธิภาพการดำเนินงาน.
• สร้าง Dashboard และรายงานแบบ Interactive โดยใช้ Power BI หรืออื่นๆ.
• สร้าง Framework สำหรับการวิเคราะห์ข้อมูลแบบ End-to-End ตั้งแต่การเก็บข้อมูล ไปจนถึงการนำเสนอผลลัพธ์.
• สร้างแบบจำลองทางสถิติ (Predictive Model) เช่น Sales Demand Forecasting, Fuel Consumption Trends, Customer Lifetime Value.
• ทำงานร่วมกับธุรกิจ ในการแปลปัญหาทางธุรกิจให้เป็นโจทย์การวิเคราะห์ข้อมูล พร้อมนำเสนอ Insight ที่มี Impact.
• ร่วมกำหนด KPI และ Data Strategy กับหน่วยงานธุรกิจ.
• สื่อสารผลการวิเคราะห์ให้เข้าใจง่าย พร้อมข้อเสนอแนะเชิงกลยุทธ์ที่นำไปปฏิบัติได้.
• ปริญญาตรีขึ้นไปในสาขา Data Science, Statistics, Computer Science, Business Analytics หรือสาขาอื่นที่เกี่ยวข้อง.
• มีประสบการณ์อย่างน้อย 2-5 ปีในด้าน Data Analytics หรือ Data Science.
• มีประสบการณ์ด้าน Data Visualization และสามารถนำเสนอข้อมูลได้อย่างมีประสิทธิภาพ.
• มีทักษะการเขียนโปรแกรม เช่น Python, R, SQL และเครื่องมือ BI เช่น Power BI, Tableau หรือใกล้เคียง.
• มีทักษะการสื่อสารและการคิดเชิงวิเคราะห์ (Analytical Thinking) ที่ยอดเยี่ยม.
• เข้าใจแนวคิด Machine Learning และสามารถใช้ Libraries เช่น scikit-learn, XGBoost, TensorFlow, PyTorch ได้.
• มีความรู้ความเข้าใจเกี่ยวกับการทำ Forecasting, Clustering และ Predictive Analytics.
• หากมีประสบการณ์กับ Cloud Platform (เช่น AWS, GCP, Azure) จะพิจารณาเป็นพิเศษ.

ทักษะ:

Power BI, Statistics, Data Analysis

ประเภทงาน:

งานประจำ

• Apply best practices in data visualization to create clear, concise, and impactful visuals. Optimize dashboard performance for speed and efficiency.
• Identifies and utilizes the customer data as an insight to provide executive summary report, including provide the analysis with the recommendation.
• Collaborate with commercial team to ensure that Power BI solutions meet their needs.
• Provide training and support to end-users on how to effectively utilize Power BI dashboards and reports.
• Manage and prepare ad hoc reports and analysis as required..
• Bachelor s / Master degree in Data Science, Mathematics, Statistics, Computer Science, Business Administration, Engineering, or other quantitative field.
• 6-7 years of relevant experience in a data analytics or power bi developer will be considered.
• Strong proficiency in Microsoft Power BI. Experience with data modeling, DAX (Data Analysis Expressions), and Power Query (M language).
• Solid understanding of data visualization principles and best practices.
• Strong communication and presentation skills, with the ability to explain technical concepts to non-technical audiences.
• Hands-on experience with databases such as SAP, SQL, and statistical tools such as R, Python.
• Self-driven individual with strong will to learn, tackle the unknowns and contribute to the team and organization.

ทักษะ:

Statistics, Finance, SQL, Korean, English

ประเภทงาน:

งานประจำ

• Own and manage marketing spend with large Meta Search Engine (MSE) partners within and outside South Korea.
• Manage the commercial relationship with MSE partners, including commercial terms, bidding and pricing strategies, and technical implementation.
• Decide in coordination with the Bidding and Pricing teams strategies that deliver expected ROIs and revenue growth.
• Track detailed performance/KPIs and deliver regular data-driven actionable insights to improve results.
• Succinctly communicate the results, ideas, and business statistics with different stakeholders.
• Ensure the advertiser implements the right Agoda APIs and related technological innovations.
• Be immersed and intimately familiar with the entire booking funnel including the user experience and conversion drivers between the advertiser and Agoda.
• Build long term relationships with advertisers that foster new opportunities and continuous growth in return from advertising dollars.
• Bachelor Degree in Computer Science/Statistics/Math or Engineering or Economics and Finance.
• Fluent in English and Korean with strong communication skills (both written and verbal).
• Self-motivated person with "Get it done!" attitude.
• Passionately analytical with strong ability to think logically and excellent problem-solving skills.
• Proficient in business intelligence tools and data warehouse i.e. SQL, Tableau and MS Excel.
• Ability to effectively communicate, influence and persuade with different levels of stakeholders (including Senior Management) with proven strong commercial acumen.
• Ability to represent Agoda with experience in interacting with external senior level executives.
• Strong analytical and statistical analysis skills to extract insights and recommendations.
• Proven business development and/or account management track record with experience in online marketing.
• 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.
• Disclaimer.
• We do not accept any terms or conditions, nor do we recognize any agency's representation of a candidate, from unsolicited third-party or agency submissions. If we receive unsolicited or speculative CVs, we reserve the right to contact and hire the candidate directly without any obligation to pay a recruitment fee.

ทักษะ:

Market Research, Research, Excel

ประเภทงาน:

งานประจำ

• Identify and develop strategic suppliers with the capability to co-develop Fresh Food products.
• Maintain strong, collaborative relationships with reliable suppliers, ensuring consistent product quality and availability.
• Manage supplier agreements, ensuring all commitments such as pricing and invoice controls are documented and complied with.
• Conduct regular supplier and producer visits to strengthen partnerships and oversee product quality.
• Product Management & DevelopmentConduct market research and competitor analysis to identify opportunities for product innovation and category expansion.
• Collaborate with the marketing team to plan and execute new product launches and in-store activities that drive sales and customer engagement.
• Support category growth through data-driven recommendations on assortment, pricing, and promotional strategies.
• Pricing & Promotion ManagementAnalyze pricing structures and propose adjustments to optimize margin and competitiveness.
• Plan and manage promotional programs including Makro Mail, ensuring alignment with business objectives and sales targets.
• Team & Cross-functional CollaborationProvide timely feedback on market trends, competitor activities, and category performance to line managers and relevant teams.
• Share essential category information with stores, including product details, supplier contacts, ordering processes, and promotional plans.
• Conduct regular store visits to monitor execution, identify operational issues, and ensure product quality, presentation, and availability are maintained.
• Qualifications:Bachelor's degree in Business Administration, Food Science, Economics, or related field.
• 3-5 years of experience in merchandising, category management, or supplier management, preferably within Fresh Food or FMCG sectors.
• Strong analytical and data management skills; proficiency in Excel, Power BI, Tableau, or similar analytics tools.
• Knowledge of product development processes and retail promotional planning.
• Strong negotiation and relationship management skills.
• Excellent communication, coordination, and project management capabilities.
• Ability to work cross-functionally and manage multiple stakeholders.

ทักษะ:

node.js, Java, Spring Boot

ประเภทงาน:

งานประจำ

• Develop and maintain robust backend services using Node.js, Nest.js, Java, Spring Boot, Camel, and cloud platforms like AWS and GCP.
• Design and build scalable, event-driven, and failure-tolerant systems. Advocate for and implement best practices in DevSecOps, test-driven development (TDD), and continuous delivery pipelines.
• Collaborate on diverse projects in domains such as Payment, Cart, Fulfillment, Search, and Recommendation.
• Vector Search: Working with vector similarity search to enhance relevance.
• ML Models (XGBoost, CNNs): Applying machine learning models for search relevance and personalization.
• LLMs & PEFT: Fine-tuning large language models using Parameter-Efficient Fine-Tuning (PEFT).
• (These skills are not mandatory but would be considered a strong plus.).
• 7+ years of experience in backend development, focusing on Node.js, Nest.js, Java, Spring Boot, Camel, and cloud platforms like AWS and GCP.
• Strong knowledge of PostgreSQL, Redis, distributed locking mechanisms, functional programming, design patterns, and advanced isolation levels.
• Hands-on experience with REST and GraphQL API development.
• Familiarity with Kafka, SQS, Kubernetes, and containerized application deployment.
• Practical experience with OLAP databases like BigQueryand Redshift, analytics tools such as Mixpanel and Amplitude, and AI platforms like SageMaker, MLflow, and Vertex AI.
• Knowledge of NLP, data structures like graphs, BK Trees, B+ Trees, and the Pub/Sub paradigm.
• Excellent communication, collaboration, and problem-solving skills with a growth-oriented mindset.
• 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:

7 ปีขึ้นไป

ทักษะ:

Product Development, Quantitative Analysis, Data Analysis

ประเภทงาน:

งานประจำ

• General: This role is a blend of hands on 'in the business' and executive level 'on the business' work. To succeed you will enjoy rolling up your sleeves, leading a team and contributing to strategy.
• Project Delivery: Manage, standardize & validate the structure of business cases for product development, headcount, engineering resources, budgets, general strategic & roadmap prioritization.
• Experimentation: Define success, measure / validate experiments and help ingrain an ...
• Forecasting and Insights: Provide a macro-led business intelligence view to the organization to prevent missed opportunities, surmount obstacles at all organizational levels and drive commercial behaviors.
• Analytics & Alerts: Quantitative analysis, data mining and presentation of business metrics; identify drivers and build an end-to-end communication framework based on business value, effort and urgency.
• Process Improvement: Work with all teams to drive inter- and intra- departmental efficiencies, optimize processes and prioritize system enhancements.
• Reporting: Build dashboards, internal / external reports and present key datasets to enable all team members to efficiently and effectively monitor performance and prioritize their efforts.
• Leadership: Lead a small team of experts to deliver the above functions and be excited by the challenge of mentoring team members.
• 7+ years of leadership experience in analytics/data science/insights/strategy.
• 4+ years' experience leading analytics, operational, product or other technical teams.
• Expert domain of data analysis and data visualization tools and software such as Excel, SQL, Tableau, Python, R, or similar.
• Strong statistical modelling and machine learning knowledge.
• Strong experience in finding data insights and provide business recommendation to the business.
• Excellent communicator with superior written, verbal, presentation and interpersonal communication skills.
• Ability to multi-task, prioritize and coordinate resources.
• Strong program/project management experience.
• Bachelor's degree ideally in a business or quantitative subject (e.g. computer science, mathematics, engineering, science, economics or finance).
• Experience in articulating strategic issues and negotiating with C-level executives - experience in leading strategy consulting projects a plus.
• People management - track record of developing stars.
• Ability and willingness to drive projects independently, working efficiently to deliver results rapidly and engaging the relevant stakeholders throughout the process.
• Master's degree in statistics, economics, mathematics or similar discipline.
• Experience in conducting A/B testing experimentation.
• Travel industry / e-commerce / tech / consulting experience.
• Bangkok.
• 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.
• Disclaimer.
• We do not accept any terms or conditions, nor do we recognize any agency's representation of a candidate, from unsolicited third-party or agency submissions. If we receive unsolicited or speculative CVs, we reserve the right to contact and hire the candidate directly without any obligation to pay a recruitment fee.

ประสบการณ์:

6 ปีขึ้นไป

ทักษะ:

ETL, SQL, NoSQL

ประเภทงาน:

งานประจำ

• Bachelor's degree or equivalent practical experience.
• 6 years of experience with cloud native architecture in a customer-facing or support role.
• Experience with Big Data technologies or concepts such as analytics warehousing, data processing and transformation, data governance, data migration, ETL/ELT, SQL and NoSQL databases, performance and scalability optimization, and batch versus streaming architectures.
• Experience engaging with, and presenting to, technical stakeholders and executive leaders.
• Experience in technical sales or consulting in cloud computing, data analytics, or Big Data.
• Experience working with customer requirements, including breaking them down and designing corresponding technical architectures.
• Experience with aspects of cloud computing (infrastructure, storage, platforms and data), and the cloud market, engaged dynamics and customer buying behavior.
• Experience in delivery of business analytics use cases within the banking or telco industry, from requirements gathering and solution design to implementation and insights generation.
• Experience with architecture design, implementing, tuning, schema design, query and distributed systems.
• Experience in building machine learning solutions and leveraging ML architectures such as deep learning, convolutional neural networks (CNNs), and techniques for load shedding and traffic management.
• Ability to communicate in Thai fluently to support client relationships in this region.
• The Google Cloud Platform team helps customers transform and build what's next for their business all with technology built in the cloud. Our products are developed for security, reliability and scalability, running the full stack from infrastructure to applications to devices and hardware. Our teams are dedicated to helping our customers developers, small and large businesses, educational institutions and government agencies see the benefits of our technology come to life. As part of an entrepreneurial team in this rapidly growing business, you will play a key role in understanding the needs of our customers and help shape the future of businesses of all sizes use technology to connect with customers, employees and partners.
• As a Customer Solutions Consultant, you will partner with technical Sales teams as a data analytics subject matter expert to differentiate Google Cloud to our customers. You will help prospective and existing customers and partners understand the power of Google Cloud, develop creative cloud solutions and architectures to solve their business issues, engage in proofs-of-concepts, and troubleshoot any technical questions and roadblocks related to database migrations, data back ends and all aspects of the data lifecycle. You will use your experience and presentation skills to engage with customers to understand their business and technical requirements, and persuasively present practical and useful solutions on Google Cloud. You will require technical, communication and organizational skills.
• Google Cloud accelerates every organization s ability to digitally transform its business and industry. We deliver enterprise-grade solutions that leverage Google s cutting-edge technology, and tools that help developers build more sustainably. Customers in more than 200 countries and territories turn to Google Cloud as their trusted partner to enable growth and solve their most critical business problems.
• Work with the team to identify and qualify business opportunities related, understand customer objections, and develop the strategy to resolve technical blockers, in relation to aspects of the data lifecycle.
• Share data analytics to support the technical relationship with customers, including technology advocacy, supporting bid responses, product and solution briefings, proof-of-concept work, and partnering directly with product management to prioritize solutions impacting customer adoption to Google Cloud.
• Identify business and technical requirements, conduct full technical discovery and architect client solutions to meet gathered requirements.
• Work directly with Google Cloud products to demonstrate and prototype integrations in customer and partner environments.
• Prepare and deliver sales messaging in an effort to highlight the Google Cloud value proposition, using techniques such as whiteboard and slide presentations, product demonstrations, white papers and RFI responses.
• Google is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. See also Google's EEO Policy and EEO is the Law. If you have a disability or special need that requires accommodation, please let us know by completing our Accommodations for Applicants form.

ประสบการณ์:

6 ปีขึ้นไป

ทักษะ:

Sales, Problem Solving, Market Research, English

ประเภทงาน:

งานประจำ

• Strong sales leadership including prospecting, building a pipeline, moving opportunities through the sales cycle; proposing, presenting and discussing solutions with C-level and other decision-makers.
• Ability to build enduring relationships with C-level executives - truly passionate relationship developer.
• Strong affiliation to Sales Personas & develops sales strategies to suit.
• Excellent problem solving skills, solution oriented and good analytical skill.
• Very good client-facing and communication/presentation skills.
• Good knowledge on market research.
• Financial understanding (eg. P&L, EBITDA) and how this relates to business success.
• Excellent at consultative selling.
• Ability to speak at external forums.
• Strong Collaboration and Networking skills.
• Earning Client Trust/Building Relationships.
• Build and maintain strong networking and C-suite engagement with key players & Sales personas across broad base of client targets.
• Confidence & credibility to talk to a wide range of decision influencers.
• Demonstrate the highest commitment to sales force penetration and retention.
• Demonstrable knowledge of the T&D industry, understanding how business needs are changing and how NIQ solutions can help solve client business issues.
• Responsible for developing case studies & client testimonials. Present at client/ Retailer events, external industry events.
• Full understanding of NIQ portfolio and interconnectedness of different solutions.
• Understanding Client Needs.
• Has a deep understanding of customer business and can reframe and challenge the way customers view their businesses.
• Has a deep understanding in market research and how NIQ solutions support our clients business growth.
• Available during final presentation of results to ensure client satisfaction, actionable recommendations and additional opportunity detection.
• Planning and Forecasting.
• Owns the business plan: financial target/proposal submission/revenue on hand/pipeline for its group of clients/solutions.
• Takes overall accountability for business planning and implementation. Tracks the financial performance of clients.
• Sound understanding of profitability and EBITDA and how this relates to all proposals and sales. Knows how Nielsen s IQ and competitor offer.
• Comfortable negotiating with senior clients and knows what levers to use. Clearly links the value of NIQ products and solutions with the price to overcome objections. Pre-empts stakeholder objections and pushes the client to a favorable outcome.
• Team Management and Collaboration.
• Relentless curiosity to learn from & share with peers from APAC markets and beyond.
• Works continuously with CBPs, Commercial Leaders, PL, Delivery COE team & other APAC leaders to ensure that leads and opportunities are picked up, pertinent information about clients is shared and the relevant people are consulted and/or informed of key activity on an account.
• Qualifications 6-8 years of experience in market research agency. Relevant experience in Automotive Industry and Consumer Behavior Insights.
• Bachelor's Degree.
• Good knowledge of NIQ products, services and data preferred.
• Digital knowledge, Salesforce.
• Excellent business English (+ local language), both verbal and written.
• Proven sales acumen.
• Excellent problem solving skills, solution oriented and good analytical skill.
• Very good client-facing and communication/presentation skills.
• Financial understanding (eg. P&L, EBITDA) and how this relates to business success.
• Strong Collaboration and Networking skills.
• Ability to communicate in local language is preferred.
• Additional Information
• Our Benefits.
• Flexible working environment.
• Volunteer time off.
• LinkedIn Learning.
• Employee-Assistance-Program (EAP).
• About NIQ.
• NIQ is the world s leading consumer intelligence company, delivering the most complete understanding of consumer buying behavior and revealing new pathways to growth. In 2023, NIQ combined with GfK, bringing together the two industry leaders with unparalleled global reach. With a holistic retail read and the most comprehensive consumer insights delivered with advanced analytics through state-of-the-art platforms NIQ delivers the Full View&trade. NIQ is an Advent International portfolio company with operations in 100+ markets, covering more than 90% of the world s population.
• For more information, visit NIQ.com.
• Want to keep up with our latest updates?.
• Follow us on: LinkedIn | Instagram | Twitter | Facebook.
• Our commitment to Diversity, Equity, and Inclusion.
• NIQ is committed to reflecting the diversity of the clients, communities, and markets we measure within our own workforce. We exist to count everyone and are on a mission to systematically embed inclusion and diversity into all aspects of our workforce, measurement, and products. We enthusiastically invite candidates who share that mission to join us. We are proud to be an Equal Opportunity/Affirmative Action-Employer, making decisions without regard to race, color, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, disability status, age, marital status, protected veteran status or any other protected class. Our global non-discrimination policy covers these protected classes in every market in which we do business worldwide. Learn more about how we are driving diversity and inclusion in everything we do by visiting the NIQ News Center: https://nielseniq.com/global/en/news-center/diversity-inclusion.

ประสบการณ์:

1 ปีขึ้นไป

ทักษะ:

Finance, Statistics, Python, English

ประเภทงาน:

งานประจำ

• Manage/ Clean/ Prepare internal and external data (structured/ semi-structured/ unstructured data) for model development/ deployment/ monitoring, including the production of data quality and integrity report.
• Develop statistical/ expert/ hybrid models to be able to enhance the model when model deterioration is indicated using variety of data modeling techniques such as Logistic Regression/ Random Forest/ Gradient Boosting/ Non-Parametric Regression. Also, in case of using external consultants, be able to work closely with them across all m ...
• Generate prescriptive models to respond to interactive decision to optimize risks and rewards.
• Deploy credit risk models into Databricks platform, collection system and credit decision engine and maintain any model adjustment.
• Assist and work closely with related parties, e.g. business users, credit approval officers and relationship managers to ensure credit risk models are appropriate and efficient for business direction and support for new digital lending risk assessment and platform.
• Ensure all credit risk models are qualified to be used through model life cycle. Regularly perform model monitoring, model assessment and propose proactive action/ recommendation to improve the model.
• Assist and design for business opportunity to develop alternative credit score from partnership data.
• Collaborate with IT and data engineer to ensure data availability and quality from various sources (both on-premise/ cloud) to develop an efficient model.
• Qualifications Bachelor s or higher degree in Finance, Statistics, Mathematics, Economics, MIS, Engineer, Data scientist or any related fields.
• At least 1-2 year experiences credit risk analytics, credit risk modeling/ scoring in retail banking, consumer finance or any financial business.
• Strong knowledge and skill in machine learning, credit scoring, data analytics using R/ Python/ PySpark, MATLAB, SPSS, SAS, SQL or similar required.
• Analytical mindset with excellent critical thinking ability and data analytics skills.
• Excellent computer skills and programming tools.
• Good command in both written and spoken English.
• Good project management skills.
• Good team player with a positive attitude toward hard working and working under pressure.
• Experienced in credit risk modeling, model monitoring/ validation/ deployment/ maintenance preferred.
• Prior experience in Basel/ IFRS9, RAROC, Stress Test, Big Data, Data Mining, Digital leading, Fin-tech/ Start-up is a plus.
• 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:

Sales, Hadoop, ETL, English

ประเภทงาน:

งานประจำ

• Bachelor's degree or equivalent practical experience.
• 10 years of experience in software sales or account management.
• Experience promoting analytics, data warehousing, or data management software.
• Ability to communicate fluently in English and Thai fluently in order to communicate for APAC customers.
• Experience with business intelligence front-end, data analytics middleware, or back-end data warehouse technologies.
• Experience working with sales engineers and customer technical leads to build business cases for transformation and accompanying plans for implementation.
• Understanding of data analytics technology stack (e.g., Hadoop/Spark, Columnar data warehouses, data streaming, ETL and data governance, predictive analytics, data science framework, etc.).
• Understanding of Google Cloud Data and Analytics offerings (e.g., BigQuery, Looker, Dataproc, Pub/Sub, etc.).
• Ability to engage and influence executive stakeholders as a business advisor and thought leader in data and analytics.
• Excellent business acumen and problem-solving skills.
• As a member of the Google Cloud team, you inspire leading companies, schools, and government agencies to work smarter with Google tools like Google Workspace, Search, and Chrome. You advocate for the innovative power of our products to make organizations more productive, collaborative, and mobile. Your guiding light is doing what s right for the customer, you will meet customers exactly where they are at and provide them the best solutions for innovation. Using your passion for Google products, you help spread the magic of Google to organizations around the world.
• In this role, you will build an understanding of our customers businesses and bring expertise to executive-level relationships to help them deliver their strategies. You will leverage expertise promoting data analytics and work with account teams, customer engineering, and partners to ensure customer outcomes.Google Cloud accelerates every organization s ability to digitally transform its business and industry. We deliver enterprise-grade solutions that leverage Google s cutting-edge technology, and tools that help developers build more sustainably. Customers in more than 200 countries and territories turn to Google Cloud as their trusted partner to enable growth and solve their most critical business problems.
• Calibrate business against the objectives and key results, forecast and report the state of the business for the assigned territory.
• Build and maintain executive relationships with customers as the data analytics subject matter expert, influencing long-term strategic direction.
• Develop and execute strategic account plans, including a broader enterprise plan across key industries. Focus on building accounts.
• Assist customers in identifying use cases suitable for Google Cloud Data and Analytics solutions, articulating key solution differentiation and measurable business impacts.
• Work with Google account and technical teams to develop and drive pipelines, and provide expertise. Develop Go-To-Market (GTM) efforts with Google Cloud Platform partners.
• Google is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. See also Google's EEO Policy and EEO is the Law. If you have a disability or special need that requires accommodation, please let us know by completing our Accommodations for Applicants form.

ประสบการณ์:

5 ปีขึ้นไป

ทักษะ:

Sales, Problem Solving, Market Research, English

ประเภทงาน:

งานประจำ

• Strong sales leadership including prospecting, building a pipeline, moving opportunities through the sales cycle; proposing, presenting and discussing solutions with C-level and other decision-makers.
• Ability to build enduring relationships with C-level executives - truly passionate relationship developer.
• Strong affiliation to Sales Personas & develops sales strategies to suit.
• Excellent problem solving skills, solution oriented and good analytical skill.
• Very good client-facing and communication/presentation skills.
• Good knowledge on market research.
• Financial understanding (eg. P&L, EBITDA) and how this relates to business success.
• Excellent at consultative selling.
• Ability to speak at external forums.
• Strong Collaboration and Networking skills.
• Earning Client Trust/Building Relationships.
• Build and maintain strong networking and C-suite engagement with key players & Sales personas across broad base of client targets.
• Confidence & credibility to talk to a wide range of decision influencers.
• Demonstrate the highest commitment to sales force penetration and retention.
• Demonstrable knowledge of the T&D industry, understanding how business needs are changing and how NIQ solutions can help solve client business issues.
• Responsible for developing case studies & client testimonials. Present at client/ Retailer events, external industry events.
• Full understanding of NIQ portfolio and interconnectedness of different solutions.
• Understanding Client Needs.
• Has a deep understanding of customer business and can reframe and challenge the way customers view their businesses.
• Has a deep understanding in market research and how NIQ solutions support our clients business growth.
• Available during final presentation of results to ensure client satisfaction, actionable recommendations and additional opportunity detection.
• Planning and Forecasting.
• Owns the business plan: financial target/proposal submission/revenue on hand/pipeline for its group of clients/solutions.
• Takes overall accountability for business planning and implementation. Tracks the financial performance of clients.
• Sound understanding of profitability and EBITDA and how this relates to all proposals and sales. Knows how Nielsen s IQ and competitor offer.
• Comfortable negotiating with senior clients and knows what levers to use. Clearly links the value of NIQ products and solutions with the price to overcome objections. Pre-empts stakeholder objections and pushes the client to a favorable outcome.
• Team Management and Collaboration.
• Relentless curiosity to learn from & share with peers from APAC markets and beyond.
• Works continuously with CBPs, Commercial Leaders, PL, Delivery COE team & other APAC leaders to ensure that leads and opportunities are picked up, pertinent information about clients is shared and the relevant people are consulted and/or informed of key activity on an account.
• Qualifications 5+ years of experience in market research agency. Relevant experience in FMCG Industry and Consumer Behavior Insights.
• Bachelor's Degree.
• Good knowledge of NIQ products, services and data preferred.
• Digital knowledge, Salesforce.
• Excellent business English (+ local language), both verbal and written.
• Proven sales acumen.
• Excellent problem solving skills, solution oriented and good analytical skill.
• Very good client-facing and communication/presentation skills.
• Financial understanding (eg. P&L, EBITDA) and how this relates to business success.
• Strong Collaboration and Networking skills.
• Ability to communicate in local language is preferred.
• Additional Information
• Our Benefits.
• Flexible working environment.
• Volunteer time off.
• LinkedIn Learning.
• Employee-Assistance-Program (EAP).
• About NIQ.
• NIQ is the world s leading consumer intelligence company, delivering the most complete understanding of consumer buying behavior and revealing new pathways to growth. In 2023, NIQ combined with GfK, bringing together the two industry leaders with unparalleled global reach. With a holistic retail read and the most comprehensive consumer insights delivered with advanced analytics through state-of-the-art platforms NIQ delivers the Full View&trade. NIQ is an Advent International portfolio company with operations in 100+ markets, covering more than 90% of the world s population.
• For more information, visit NIQ.com.
• Want to keep up with our latest updates?.
• Follow us on: LinkedIn | Instagram | Twitter | Facebook.
• Our commitment to Diversity, Equity, and Inclusion.
• NIQ is committed to reflecting the diversity of the clients, communities, and markets we measure within our own workforce. We exist to count everyone and are on a mission to systematically embed inclusion and diversity into all aspects of our workforce, measurement, and products. We enthusiastically invite candidates who share that mission to join us. We are proud to be an Equal Opportunity/Affirmative Action-Employer, making decisions without regard to race, color, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, disability status, age, marital status, protected veteran status or any other protected class. Our global non-discrimination policy covers these protected classes in every market in which we do business worldwide. Learn more about how we are driving diversity and inclusion in everything we do by visiting the NIQ News Center: https://nielseniq.com/global/en/news-center/diversity-inclusion.

ทักษะ:

Statistics, Oracle, SQL

ประเภทงาน:

งานประจำ

• Department: Information Technology.
• Company: บริษัท จีเอ็มเอ็ม มิวสิค จำกัด (มหาชน).
• Performing analysis to assess quality and meaning of data.
• Developing and maintaining data, data structure - reorganizing data in a readable format in app tagging and customer database.
• Acquiring data from multiple data sources and maintaining databases.
• Working with PO, Engineers, to identify process improvement opportunities, propose system modifications, data governance strategies.
• Developing and implementing data collection and other strategies that optimize statistical efficiency and quality.
• Using statistical tools to identify, analyze, and interpret patterns and trends in complex data sets could be helpful for the diagnosis and prediction.
• Preparing reports for the management stating trends, patterns, and predictions using relevant data.
• Bachelor s degree in computer science, engineering, information systems, information technology, statistics.
• Strong technical skills are essential as is knowledge of, and certification in, the relevant computer language (this might be Oracle, Microsoft SQL, Python, etc.).
• App Analytic skills and reporting (App behaviors, Customer journey, Funnel, Segmentation).
• Familiarity with Analytic tools (e.g. Google Analytics, Firebase, Adobe Analytics, Google big query, Tableau, Power BI).
• Analytical mindset with numerical aptitude and has Strong organizational and leadership skill.
• Experience with data models, techniques for data mining, and segmentation is a plus.
• ประสบการณ์ 5 ปีขึ้นไป.
• จำนวน 1 อัตรา.

ประสบการณ์:

5 ปีขึ้นไป

ทักษะ:

Legal, Compliance, Finance, English

ประเภทงาน:

งานประจำ

• Develop and implement the company s total rewards strategy to attract, retain, and motivate top talent.
• Ensure that compensation structures, benefits, and incentives align with market trends, legal requirements, and company objectives.
• Oversee annual salary reviews, job evaluations, and market benchmarking to maintain internal equity and external competitiveness.
• Manage executive compensation programs in collaboration with senior management.
• Develop and administer incentive plans, including short-term and long-term incentive programs.
• Review and enhance employee benefits programs, including health insurance, retirement plans, and wellness initiatives.
• Negotiate with vendors to ensure cost-effective and high-value benefits offerings.
• Monitor legislative changes impacting compensation and benefits and ensure company compliance.
• Design and maintain HR analytics dashboards to support data-driven decision-making.
• Conduct compensation and workforce analytics to assess trends, gaps, and opportunities.
• Provide reports and insights on key HR metrics such as employee retention, compensation effectiveness, and workforce planning.
• Develop predictive models to support talent management and succession planning.
• Work closely with HR leads, Finance, and Leadership to ensure total rewards programs align with overall business goals.
• Provide training and guidance to HR teams and managers on compensation structures, pay equity, and benefits programs.
• Ensure transparency and effective communication of total rewards programs to employees.
• Requirements Bachelor s degree in Human Resources, Business Administration, Finance, or a related field; a Master s degree or HR certification is a plus.
• Minimum 5 years of experience in compensation, benefits, and HR analytics, preferably in a multinational or industrial environment across multiple countries.
• Strong expertise in job evaluation methodologies, salary benchmarking, and incentive program design.
• Solid understanding of global compensation trends, benefits policies, and compliance requirements.
• Excellent analytical, problem-solving, and stakeholder management skills.
• Strong communication skills with the ability to translate complex data into meaningful business insights.
• Excellent command in English, both written and spoken.
• MS Office proficiency.
• Proficiency in HR data analytics and HRIS tools (e.g., SuccessFactors or similar).
• Problem-Solving: Strong problem-solving skills with the ability to quickly address and resolve operational issues.
• Customer Orientation: Focus on customer satisfaction and the ability to align operations with customer needs.
• Adaptability: Flexibility to adapt to changing circumstances and market conditions.
• Interpersonal Skills: Excellent interpersonal skills to effectively manage team dynamics and stakeholder relationships.
• Time Management: Strong organizational and time management skills to prioritize tasks and meet deadlines.
• Cultural Competence: Ability to work effectively in a diverse and multicultural environment.