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