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อัพโหลดเรซูเม่ของคุณ AI ของเราจะวิเคราะห์และแนะนำตำแหน่งงานที่ดีที่สุดให้คุณ
ประสบการณ์:
5 ปีขึ้นไป
ทักษะ:
Business Development, Product Development, Project Management
ประเภทงาน:
งานประจำ
เงินเดือน:
สามารถต่อรองได้
- Business Development: Build relationships and leverage partners to drive supply coverage and quality via commercial and technical innovation.
- Scoping: Build business cases for product development based on identified supply partnership opportunities.
- Project Delivery: Execute supply connectivity strategy leveraging internal and external resources.
- Experimentation: Test any technical or strategic changes through data driven experimentation.
- Minimum 5 years' experience working in sales, account management, project management or consulting roles.
- Analytical and proven track record in using data to prepare decision making and drive strategy and make decisions.
- Experience with one or more data analysis packages or databases, e.g., SAS, R, SPSS, Python, VBA, SQL, tableau.
- Ability to work and prioritize under pressure in a competitive industry/rapidly changing environment.
- Experience in building strong cross-functional relationships with stakeholders within the company.
- Excellent communication & presentation skills, up to C-level.
- Experience in the travel or OTA industry.
- Understanding of APIs and xml connections.
- We offer.
- Wholistic ownership and responsibility for your portfolio and scope.
- Visibility to C level / senior leadership, as you will work with external partners as well as internal (product, marketing, partner support, finance, legal).
- Access to Agoda leading edge supply & data technology.
- Mentorship + various opportunities for advancement throughout the business.
- Equal Opportunity Employer.
- At Agoda, we pride ourselves on being a company represented by people of all different backgrounds and orientations. We prioritize attracting diverse talent and cultivating an inclusive environment that encourages collaboration and innovation. Employment at Agoda is based solely on a person's merit and qualifications. We are committed to providing equal employment opportunity regardless of sex, age, race, color, national origin, religion, marital status, pregnancy, sexual orientation, gender identity, disability, citizenship, veteran or military status, and other legally protected characteristics.
- We will keep your application on file so that we can consider you for future vacancies and you can always ask to have your details removed from the file. For more details please read our privacy policy.
- To all recruitment agencies: Agoda does not accept third party resumes. Please do not send resumes to our jobs alias, Agoda employees or any other organization location. Agoda is not responsible for any fees related to unsolicited resumes.
วันนี้
ดูเพิ่มเติมkeyboard_arrow_down
บันทึก
ยกเลิก
ทักษะ:
Statistics, Data Analysis, SAS, English
ประเภทงาน:
งานประจำ
เงินเดือน:
สามารถต่อรองได้
- Search: Experiment with text ads, bidding, and campaign structures on Google, Bing, Baidu, Naver, and other search engines. Adapt to new product features and roll out changes from successful tests.
- Display: Test, analyze, and optimize campaigns on Facebook, Twitter, Instagram, and others.
- Modeling: Analyze the vast amounts of data generated by experiments, develop models we can use for optimization, and build dashboards for account managers.
- Bachelor's Degree or higher from top university in a quantitative subject (computer science, mathematics, engineering, statistics or science).
- Ability to communicate fluently in English.
- Exposure to one or more data analysis packages or databases, e.g., SAS, R, SPSS, Python, VBA, SQL, Tableau.
- Good numerical reasoning skills.
- Proficiency in Excel.
- Intellectual curiosity and analytical skills.
- Experience in digital marketing.
- Academic research experience.
- STRA#ANLS#MRKT#3#LI-TR2.
- Experience in R studio, data modeling, hypothesis testing is a plus.
- Equal Opportunity Employer.
- At Agoda, we pride ourselves on being a company represented by people of all different backgrounds and orientations. We prioritize attracting diverse talent and cultivating an inclusive environment that encourages collaboration and innovation. Employment at Agoda is based solely on a person's merit and qualifications. We are committed to providing equal employment opportunity regardless of sex, age, race, color, national origin, religion, marital status, pregnancy, sexual orientation, gender identity, disability, citizenship, veteran or military status, and other legally protected characteristics.
- We will keep your application on file so that we can consider you for future vacancies and you can always ask to have your details removed from the file. For more details please read our privacy policy.
- To all recruitment agencies: Agoda does not accept third party resumes. Please do not send resumes to our jobs alias, Agoda employees or any other organization location. Agoda is not responsible for any fees related to unsolicited resumes.
10 วันที่ผ่านมา
ดูเพิ่มเติมkeyboard_arrow_down
บันทึก
ยกเลิก
ทักษะ:
Statistics, Excel, Data Analysis, English
ประเภทงาน:
งานประจำ
เงินเดือน:
สามารถต่อรองได้
- Search: Experiment with text ads, bidding, and campaign structures on Google, Bing, Baidu, Naver, and other search engines. Adapt to new product features and roll out changes from successful tests.
- Display: Test, analyze, and optimize campaigns on Facebook, Twitter, Instagram, and others.
- Modeling: Analyze the vast amounts of data generated by experiments, develop models we can use for optimization, and build dashboards for account managers.
- Bachelor's Degree or higher from top university in a quantitative subject (computer science, mathematics, engineering, statistics or science).
- Ability to communicate fluently in English.
- 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.
- Equal Opportunity Employer.
- At Agoda, we pride ourselves on being a company represented by people of all different backgrounds and orientations. We prioritize attracting diverse talent and cultivating an inclusive environment that encourages collaboration and innovation. Employment at Agoda is based solely on a person's merit and qualifications. We are committed to providing equal employment opportunity regardless of sex, age, race, color, national origin, religion, marital status, pregnancy, sexual orientation, gender identity, disability, citizenship, veteran or military status, and other legally protected characteristics.
- We will keep your application on file so that we can consider you for future vacancies and you can always ask to have your details removed from the file. For more details please read our privacy policy.
- To all recruitment agencies: Agoda does not accept third party resumes. Please do not send resumes to our jobs alias, Agoda employees or any other organization location. Agoda is not responsible for any fees related to unsolicited resumes.
1 วันที่ผ่านมา
ดูเพิ่มเติมkeyboard_arrow_down
บันทึก
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ประสบการณ์:
5 ปีขึ้นไป
ทักษะ:
Data Analysis, Automation, Python
ประเภทงาน:
งานประจำ
เงินเดือน:
สามารถต่อรองได้
- Work with stakeholders throughout the organization to understand data needs, identify issues or opportunities for leveraging company data to propose solutions for support decision making to drive business solutions.
- Adopting new technology, techniques, and methods such as machine learning or statistical techniques to produce new solutions to problems.
- Conducts advanced data analysis and create the appropriate algorithm to solve analytics problems.
- Improve scalability, stability, accuracy, speed, and efficiency of existing data model.
- Collaborate with internal team and partner to scale up development to production.
- Maintain and fine tune existing analytic model in order to ensure model accuracy.
- Support the enhancement and accuracy of predictive automation capabilities based on valuable internal and external data and on established objectives for Machine Learning competencies.
- Apply algorithms to generate accurate predictions and resolve dataset issues as they arise.
- Be Project manager for Data project and manager project scope, timeline, and budget.
- Manage relationships with stakeholders and coordinate work between different parties as well as providing regular update.
- Control / manage / govern Level 2 support, identify, fix and configuration related problems.
- Keep maintaining/up to date of data modelling and training model etc.
- Run through Data flow diagram for model development.
- EDUCATION.
- Bachelor's degree or higher in computer science, statistics, or operations research or related technical discipline.
- EXPERIENCE.
- At least 5 years experience in a statistical and/or data science role optimization, data visualization, pattern recognition, cluster analysis and segmentation analysis, Expertise in advanced Analytica l techniques such as descriptive statistical modelling and algorithms, machine learning algorithms, optimization, data visualization, pattern recognition, cluster analysis and segmentation analysis.
- Expertise in advanced analytical techniques such as descriptive statistical modelling and algorithms, machine learning algorithms, optimization, data visualization, pattern recognition, cluster analysis and segmentation analysis.
- Experience using analytical tools and languages such as Python, R, SAS, Java, C, C++, C#, Matlab, SPSS IBM, Tableau, Qlikview, Rapid Miner, Apache, Pig, Spotfire, Micro S, SAP HANA, Oracle, or SOL-like languages.
- Experience working with large data sets, simulation/optimization and distributed computing tools (e.g., Map/Reduce, Hadoop, Hive, Spark).
- Experience developing and deploying machine learning model in production environment.
- Knowledge in oil and gas business processes is preferrable.
- OTHER REQUIREMENTS.
วันนี้
ดูเพิ่มเติมkeyboard_arrow_down
บันทึก
ยกเลิก
ประเภทงาน:
งานประจำ
เงินเดือน:
สามารถต่อรองได้
- About TikTokTikTok is the leading destination for short-form mobile video. At TikTok, our mission is to inspire creativity and bring joy. TikTok's global headquarters are in Los Angeles and Singapore, and its offices include New York, London, Dublin, Paris, Berlin, Dubai, Jakarta, Seoul, and Tokyo. Why Join UsCreation is the core of TikTok's purpose. Our products are built to help imaginations thrive. This is doubly true of the teams that make our innovations possible. Together, we inspire creativity and enrich life - a mission we aim towards achieving every day. To us, every chall ...
- Minimum Qualifications1.Minimum 3 years of experience in UX research, preferably in the E-commerce/tech industry.2.Bachelor's degree or above in Psychology, Statistics, Sociology, Marketing Research, Economics, International Trade, or other related fields.3.Experience using both qualitative and quantitative research methods, such as: usability studies (remote/in lab), focus groups, interviews, concept tests, diary studies, surveys, data analysis, A/B testing, etc. Be able to conduct interviews/design questionnaires in Thailand.Preferred Qualifications:1. Ability to work independently with limited supervision and take initiative to solve problems and learn new things.2. Ability to manage multiple projects at the same time in a fast paced environment.3. Great written and spoken communication skills to influence product partners and major company decisions.4. Ability to analyze large sample data with statistic tools, such as SQL, Python, R, SPSS.TikTok is committed to creating an inclusive space where employees are valued for their skills, experiences, and unique perspectives. Our platform connects people from across the globe and so does our workplace. At TikTok, our mission is to inspire creativity and bring joy. To achieve that goal, we are committed to celebrating our diverse voices and to creating an environment that reflects the many communities we reach. We are passionate about this and hope you are too.
4 วันที่ผ่านมา
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ส่งแจ้งเตือนงานใหม่ล่าสุดสำหรับSPSS
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