What is WorkScore™?
What is WorkScore? The blue bar next to each of the jobs indicates how well your profile matches with the job position. To see WorkScore scores you need to complete your profile at least to 80%.
For best matches we recommend to fill as much as you can, up to 100%. You can apply to all jobs, although jobs with higher match percentage are most relevant to your skills, education and background. Even with a low WorkScore percentage, if you really like the job then it still could be a right job for you!
Skills:
Statistics, Excel, Data Analysis, English
Job type:
Full-time
Salary:
negotiable
- 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.
- What you'll Need to Succeed:
- 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.
- It's Great if you Have:
- 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.
- STRA#ANLS#MRKT#3#LI-TR2 data representation data analysis SQL data analytics analytics python (programming language) data mining data science r (programming language) tableau analytical skills data visualization databases business analysis business intelligence (bi) microsoft sql server
- 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.
Skills:
Industrial Engineering, Finance, Project Management
Job type:
Full-time
Salary:
negotiable
- Work closely with senior management team to develop initiatives on operations efficiency through innovation, process improvement and retail productivity.
- Apply deep knowledge of trend, financial data, process standard and translate into actionable insight.
- Plan and develop report / presentation to support project for trial and roll out.
- Lead, collaborate and facilitate stakeholders across the business to ensure joined up approach and achieve targets together with process and budget owners.
- Track and updated project process on a regular basis, ensure the project is able to achieve milestone. Including develop mitigation plan for any critical issues occurred.
- Track/create business metrics & Key Performance Indicators (KPIs) dashboard.
- Support initiatives for data integrity and create best practice reports based on data mining, analysis and visualization.
- Train end users on new reports and dashboards to continually drive efficiencies.
- Ability to present information to stakeholders and provide initial consultation / solution.
- 2-5 years+ working experience in Data Analytics, Process Improvement.
- Degree in Industrial Engineering, Supply Chain, Finance, IT or related field.
- Knowledge of basic statistical techniques for hypothesis testing or prediction (Correlation, Regression, etc.).
- Skilled in process improvement, project management, and data analysis.
- Ability to use data and metrics to test theories, back up assumptions, develop business cases, complete root cause analysis and measure success.
- Ability to work independently and under pressure with business-partnering mindset.
- Good presentation, communication and influencing skills.
- Six Sigma Green Belt certification preferred.
- Lotus's
- Ek-Chai Distribution System Co., Ltd.
- 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. .
Experience:
No experience required
Skills:
Database Administration, Python, Analytical Thinking, Good Communication Skills, English
Job type:
Full-time
Salary:
฿30,000 - ฿50,000, negotiable
- Lead and perform end-to-end large-scaled data discovery (e.g., data acquisition, data cleansing, data modelling) together with developing effective algorithms to provide actionable insights leading to business improvement (e.g., operation improvement, value-added services, growth of revenue).
- Conduct and run data experiment to prototype new data innovation ideas, explore a variety of approaches and refine promising ideas into product ready model or new model.
- Manage (prioritize) and support requests on data analysis and data analytic assignments from business units to identify actionable insights and make recommendations for strategic decision making.
- Communicate findings and build buy-in with key stakeholders through business insights finding, data prototyping or innovation demonstration.
- Coach junior data scientists/ data analyst on technical knowledge. Maintain knowledge of data science trends and regularly share knowledge with the team.
- Collaborate with partners to scale data innovations to make business impact.
- Bachelor or Master Degree in Quantitative fields (e.g., Math, Statistics, Engineering, Statistics, Computer Science, Operational Research) or Equivalent industry experience.
- Over 2 years of professional experience in data analytics, data science or data engineering. Proven track records to leveraging data analytics/data science to create business impact.
- Having experience in data science & analytics, data visualization, data architecture, or data engineering, Programming language (Python, R or Matlab), SQL/ NoSQL, Tableau.
- Good at English language.
Skills:
Statistics, Salesforce
Job type:
Full-time
Salary:
negotiable
- จำลองข้อมูลเพื่อแบ่งกลุ่มลูกค้าและเพื่อให้เข้าใจข้อมูลพฤติกรรมเชิงลึกของลูกค้า.
- วิเคราะห์พฤติกรรมผู้บริโภค แทรนด์การตลาด จากข้อมูลภายในและจากคู่แข่ง.
- จัดทำรายงาน (Routine Report) พร้อมทั้งบทวิเคราะห์ เพื่อพัฒนายอดขายและเพื่อให้สามารถบริหารจัดการแคมเปญได้อย่างมีประสิทธิภาพ.
- ประสานงานกับคู่ค้า (Brand Partner) เพื่อสร้าง Partnership Campaign.
- วางแผนและประสานงานกับทุกฝ่ายที่เกี่ยวข้อง ทั้งในและนอกทีม เพื่อให้แคมเปญสำเร็จและเป็นไปตามเป้าหมาย.
- พัฒนาและสำรวจความพึงพอใจของผู้บริโภคให้อยู่ในระดับที่ดีเยี่ยม.
- วุฒิการศึกษาระดับปริญญาตรี / โท BBA, MIS, Data Science, Statistics, Mathematics, Computer Science หรือสาขาอื่นๆที่เกี่ยวข้อง.
- มีประสบการณ์ที่เกี่ยวข้อง 1-3 ปี.
- ชอบเรียนรู้ มีความคิดสร้างสรรค์ ชอบการวิเคราะห์ข้อมูล.
- มีความขยัน มุ่งมั่น กระตือรือร้น มีความรับผิดชอบ.
- มีทัศนคติเชิงบวก และยอมรับฟังความคิดเห็น.
- สามารถทำงานเป็นทีมได้ มีทักษะสื่อสารที่ดี.
- มีความอดทน สามารถทำงานภายใต้ความกดดันได้.
- มีความละเอียดรอบคอบ.
- หากมีประสบการณ์ในการใช้โปรแกรม Salesforce หรือ ระบบอื่นที่คล้ายคลึงกัน การจัดการข้อมูลปริมาณมากจะได้รับการพิจารณาเป็นพิเศษ.
Experience:
5 years required
Job type:
Full-time
Salary:
negotiable
- Make an impact with a purpose-driven industry leader. Join us today and experience Life at Visa.
- Job DescriptionConducting transaction data analysis with Hadoop Cloud and big data technologies for internal and external clients and stakeholders, and develop deeper insights into the products using advanced statistical methods.
- Creating user-friendly dashboards and presentations.
- Building predictive models using advanced machine learning techniques interpret and present modeling and analytical results to non-technical audience.
- Executing on the analytic plan with appropriate data mining and analytic techniques.
- Performing QA on data and deliverables by analysts and own deliverables.
- Ensuring all project documentation is up to date and all projects are reviewed per analytic plan.
- Ensuring project delivery within timelines.
- Continually look at the environment to challenge our assumptions around new sources of data, potential analytics partners, tools, talent and infrastructure.
- Explore leading methodologies and best practices to other teams and importing successful methodologies from other international markets.
- This is a hybrid position. Hybrid employees can alternate time between both remote and office. Employees in hybrid roles are expected to work from the office 2-3 set days a week (determined by leadership/site), with a general guidepost of being in the office 50% or more of the time based on business needs.
- QualificationsBachelors degree in Economics, Finance, Computer Science, Statistics, or related quantitative field.
- 5+ years of experience in performing data exploration and feature engineering and ML models.
- Additional InformationVisa is an EEO Employer. Qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, sexual orientation, gender identity, disability or protected veteran status. Visa will also consider for employment qualified applicants with criminal histories in a manner consistent with EEOC guidelines and applicable local law.
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