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Skills:

Excel, 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, or science).
• Ability to communicate fluently in English.
• Good numerical reasoning skills.
• Proficiency in Excel.
• Intellectual curiosity.
• Exposure to one or more data analysis packages or databases, e.g., SAS, R, SPSS, Python, VBA, SQL.
• Experience in digital marketing.
• Academic research experience.
• Please review our Hiring Process Guidelines before your interview click hereto learn how interviewing at Agoda works.
• Discover more about working at Agoda.
• Agoda Careers https://careersatagoda.com.
• Facebook https://www.facebook.com/agodacareers/.
• LinkedIn https://www.linkedin.com/company/agoda.
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• 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.

Skills:

SQL, Power BI, Python

Job type:

Full-time

• วิเคราะห์ข้อมูลลูกค้า สมาชิก และพฤติกรรมการใช้บริการ เพื่อค้นหา Insight และโอกาสในการพัฒนาธุรกิจ.
• วิเคราะห์ผลการดำเนินงานของ Loyalty Program และแคมเปญ CRM พร้อมจัดทำข้อเสนอแนะเพื่อเพิ่มประสิทธิภาพ.
• จัดทำ Dashboard และรายงานผลการดำเนินงาน เพื่อสนับสนุนการตัดสินใจของผู้บริหาร.
• พัฒนา Customer Segmentation และติดตามตัวชี้วัดด้านลูกค้า เช่น Acquisition, Retention และ Engagement.
• ดึง ตรวจสอบ และวิเคราะห์ข้อมูลจากฐานข้อมูลด้วย SQL และเครื่องมือ Business Intelligence (BI).
• ประสานงานกับทีมการตลาด หน่วยงานธุรกิจ และทีม Data เพื่อสนับสนุนการวิเคราะห์และขับเคลื่อนธุรกิจด้วยข้อมูล.
• สำเร็จการศึกษาระดับปริญญาตรีขึ้นไป สาขาสถิติ วิศวกรรมศาสตร์ เศรษฐศาสตร์ บริหารธุรกิจ การตลาด หรือสาขาอื่นที่เกี่ยวข้อง.
• มีประสบการณ์ด้าน Data Analytics, CRM, Loyalty Analytics หรือ Business Intelligence อย่างน้อย 2 ปี.
• สามารถใช้งาน SQL, Microsoft Excel และ Power BI ได้เป็นอย่างดี.
• มีทักษะในการวิเคราะห์ข้อมูล และนำเสนอข้อเสนอแนะเชิงธุรกิจ.
• มีทักษะการสื่อสารและการนำเสนอ สามารถประสานงานกับผู้เกี่ยวข้องได้อย่างมีประสิทธิภาพ.
• หากมีประสบการณ์ด้าน Customer Analytics, CRM Platform หรือ Python จะได้รับการพิจารณาเป็นพิเศษ.
• ทักษะที่จำเป็นSQL.
• Power BI.
• Microsoft Excel.
• Customer Analytics.
• CRM & Loyalty Analytics.
• Dashboard Development.
• Analytical Thinking..

Job type:

Full-time

• We're committed to bringing passion and customer focus to the business.
• Collaborate across the business to understand IT and business constraints Work with product team and data engineer to plan and design data collection strategies, procedures and policies.
• Understand new data sources and process pipelines, and catalog/document them.
• Help to create data pipelines for more efficient and repeatable data science projects.
• Apply statistical analysis and visualization techniques to various data, such as hierarchical clustering, T-distributed Stochastic Neighbor Embedding (t-SNE), principal components analysis (PCA).
• Construct and test hypothesis regarding an underlying mechanic of business process.
• Apply various ML and advanced analytics techniques to perform classification or prediction tasks.
• Testing of ML models, such as cross-validation, A/B testing, bias and fairness.
• Collaborate with ML operations (MLOps), data engineers, and IT to evaluate and implement ML deployment options.
• If you like wild growth and working with happy, enthusiastic over-achievers, you'll enjoy your career with us!.

Job type:

Full-time

• We are looking for an HR Data Analytics to join our team and support data-driven decision-making across the HR function. This role is suitable for a candidate with hands-on experience in HR data, reporting, dashboard development, and data analysis..
• Support the management, maintenance, and validation of employee data across the company and group companies, ensuring data accuracy, security, and compliance.
• Develop and implement BI (Business Intelligence) to enhance data-driven decision-making processes in HR.
• Design, develop, and maintain interactive dashboards and reports to provide real-time insights into HR metrics and trends.
• Analyze HR data to identify patterns, trends, and insights that inform strategic decisions and initiatives.
• Support the maintenance of HR datamarts, databases, and structured data sets for reporting and analysis.
• Collaborate with HR and business leaders to understand data requirements and deliver actionable insights that drive HR and business outcomes.
• Stay abreast of industry trends and advancements in HR analytics and data management, incorporating best practices into our operations..
• If you meet below qualifications and are ready to take on a challenging role, we encourage you to apply..
• Bachelor's or Master's degree in Human Resources, Business Analytics, Data Science, or a related field.
• Around 3 years of experience in HR data analytics, HR reporting, business analytics, data analysis, or a related role.
• Strong proficiency in BI tools (e.g., Power BI, Tableau) and data visualization techniques.
• Expertise in data management, including experience with datamarts, databases, and data warehousing.
• Excellent analytical skills, with the ability to translate complex data sets into clear and actionable insights.
• Strong communication and interpersonal skills, with the ability to present data-driven insights to non-technical audiences.

Skills:

SQL, Python, SAS

Job type:

Full-time

• Manage and plan the data direction and strategy for business need.
• Drive successful of data insight initiatives and effective collaboration with stakeholders.
• Analyze business requirements and identify business problems into an analytics question and gain a deep understanding of models and algorithms capability and limitations.
• Create reports and dashboards based on data mining, evaluation, analysis, and visualization.
• Collaborate with key stakeholders including the Executive, Business Units, Data and IT teams to identify opportunities for leveraging company data to drive business solutions.
• Coordinate with the software developers, data engineers and data scientists to oversee the delivery of analytics solutions and formulate strategy for technology adoption and impact measurement.
• 5 years of experience as a data analyst or business data analyst.
• Advanced knowledge in SQL and experience working with relational databases, query authoring (SQL) as well as working familiarity with a variety of databases.
• Experience with data studio, Big Query.
• Experience with R, Python, SAS, SPSS, other analytic tools.
• Experience supporting and working with cross-functional teams in a dynamic environment..

Experience:

7 years required

Skills:

Market Research, Research, Excel

Job type:

Full-time

• Track Samsung performance vs. key competitors across price segments, monitor and flag significant market movements, with data-driven insights and recommendations.
• Track performance of key Samsung products vs. competitor models, analyse churn-in / out trends and monitor sales progress.
• Build structured data reports on a weekly and monthly basis, by extracting and processing market data from multiple data sources.
• Ensure data accuracy and report usability for all relevant stakeholders.
• Provide granular analysis (e.g., on region/province/city level) for assigned markets to strengthen local operations.
• Regularly engage with local counterparts to address relevant requests and enquiries.
• Actively monitor & track data portal updates, conduct training for assigned markets.
• Manage all responsible data reports independently, presenting key findings and recommendations to stakeholders in a clear, concise and action-driven format.
• Continuously optimize the quality and speed in existing data collection and reporting processes.
• Build automated reporting pipelines and cross-source data integration.
• Skills and Qualifications.
• 5 - 7 years of relevant professional experience with functional knowledge in data analytics, market research, business analytics, CMI or a related field.
• Familiarity with syndicated market research tools and data sources.
• Experience in managing large-scale database with proven analytical skill.
• Including data collection & cleaning, data construction & modelling, data reporting & visualization etc.
• Advanced excel skills is a must, experience using Power BI/Query, DAX, SQL is a plus.
• Ability to create clear and insight-led reports, with action-driven recommendations.
• Ability to work in a fast-paced environment, w/ strong data acuity and attention to details.
• Experience in Mobile electronics or related consumer industry preferred.
• Please visit Samsung membership to see Privacy Policy, which defaults according to your location. You can change Country/Language at the bottom of the page.

Experience:

4 years required

Skills:

Statistics, SQL, Tableau, English

Job type:

Full-time

• Analyze user behavior, customer journeys, and product performance.
• Conduct funnel, retention, cohort, segmentation, and engagement analyses.
• Identify optimization opportunities and provide actionable business insights.
• Support ad-hoc analytical requests from Product, Marketing, Business, and Management teams.
• Translate business questions into measurable metrics and analytical frameworks.
• Present clear insights and recommendations to stakeholders.
• Develop and maintain dashboards, reports, and KPI tracking frameworks.
• Monitor key metrics, identify trends, and investigate anomalies.
• Define success metrics for product features and initiatives.
• Support A/B testing and evaluate feature adoption, user engagement, and business impact.
• Collaborate with Product Owners and Data Engineers on tracking requirements.
• Validate data collection, event tracking, and reporting accuracy.
• Bachelor s degree in Computer Science, Statistics, Mathematics, Data Analytics, or a related field.
• 4-7 years of experience in Product Analytics, Data Analytics, Business Intelligence, or a related role.
• Strong SQL skills with experience querying and analyzing large-scale datasets.
• Hands-on experience with data warehouses such as BigQuery, Snowflake, Redshift, or similar platforms.
• Experience building dashboards and KPI reports using Tableau, Power BI, Looker, or similar BI tools.
• Strong experience in product analytics, including user journey analysis, funnel optimization, retention analysis, churn analysis, and customer segmentation.
• Experience defining product KPIs, measuring feature performance, and supporting A/B testing or experimentation initiatives.
• Experience with mobile app analytics and digital analytics platforms such as GA4, Firebase Analytics, or AppsFlyer.
• Experience with product analytics tools such as Amplitude, Mixpanel, Heap, or similar platforms.
• Strong analytical, communication, and stakeholder management skills with the ability to translate data into actionable business insights.
• Experience in OTT, Streaming, Subscription, E-commerce, Digital Media, or other consumer-facing digital products is highly preferred.
• Knowledge of Python or R for data analysis and automation is a plus.
• Fluent in Thai with good command in English.

Experience:

3 years required

Skills:

Market Analysis, Market Research, Research

Job type:

Full-time

• Collect, consolidate, validate, and clean data from multiple internal and external sources to ensure data accuracy, consistency, and reliability.
• Prepare, maintain, and manage assigned weekly, monthly, and ad hoc reports to support regional business performance monitoring.
• Analyse Samsung's market performance against key competitors across products, price segments, and channels, highlighting key trends, opportunities, and potential risks.
• Monitor product performance, market share, sell-out trends, and churn-in/churn-out movements to support business reviews and decision-making.
• Perform in-depth market analysis at regional, country, province, or city level to support local market strategies and business initiatives.
• Translate complex data into meaningful insights through clear dashboards, reports, and visualizations for internal stakeholders.
• Support regional business reviews by preparing analytical materials and responding to data-related requests from regional and local teams.
• Collaborate with cross-functional teams and local markets to validate data, resolve reporting issues, and improve data quality.
• Support the development and enhancement of reporting tools, dashboards, and automated reporting processes to improve efficiency and accuracy.
• Maintain reporting databases, data documentation, and reporting standards to ensure consistency across markets.
• Monitor updates to data sources and reporting platforms and support user adoption when required.
• Participate in regional analytics projects and perform other analytical assignments as delegated by supervisor.
• Skills and Qualifications.
• 3-5 years of experience in data analytics, business analytics, commercial reporting, market research, or a related field.
• Experience working with large-scale datasets, including data collection, validation, cleaning, transformation, analysis, and visualization.
• Strong analytical and problem-solving skills with the ability to identify trends and derive meaningful business insights.
• Advanced Microsoft Excel skills are required; experience with Power BI, Power Query, DAX, SQL, or similar analytics tools is highly preferred.
• Experience developing dashboards and automated reporting solutions is an advantage.
• Strong attention to detail with a commitment to data accuracy and quality.
• Good communication and collaboration skills with the ability to present analytical findings clearly to internal stakeholders.
• Able to manage multiple priorities independently while working effectively in a fast-paced regional environment.
• Experience in the mobile, consumer electronics, or related industry is preferred.
• Please visit Samsung membership to see Privacy Policy, which defaults according to your location. You can change Country/Language at the bottom of the page.