What they're looking for
- Interpret trends or patterns from complex data sets by using statistical and visualization tools.
- Conduct data analysis reports to illustrate the results and insight
- Working with scientists and engineers to monitor and diagnose the system
- Develop tools and systems that optimize analysis process efficiency and report quality.
- Senior students in college or graduate students in related field
The full posting
Published by appier. Original posting
【About the role】
We are seeking a Data Analyst Intern in Taiwan that will be part of a product R&D team. The role will perform data analysis to help Appier teams to answer business or operational questions.
We are seeking potential candidates who can commit to 2-3 days a week and participate in the internship for a minimum of 6 months, starting immediately. Please ensure that you have checked your availability before applying.
【Responsibilities】
• Interpret trends or patterns from complex data sets by using statistical and visualization tools.
• Conduct data analysis reports to illustrate the results and insight
• Working with scientists and engineers to monitor and diagnose the system
• Develop tools and systems that optimize analysis process efficiency and report quality.
【About you】
[Minimum qualifications]
• Senior students in college or graduate students in related field
• Good analytical skills to extract meaningful insights from the data.
• Good ability to communicate data analysis insight to audiences with different backgrounds.
• Proficient oral and written communication skills in English.
• Analytical skills and tools: Statistics knowledge and skills, using SQL to do basic data extraction and aggregation, Spreadsheet/Excel.
• Machine Learning skills: sufficient know-how of machine learning and basic experience of using machine learning tools.
• Programming skill: can write Python scripts for simple job automation.
[Preferred qualifications]
• Working experiences in digital advertising industries.
• Hands-on experience in utilizing analytic/visualization tools (SQL, R, Tableau).
• Advanced Python programming: e.g. able to do complex analysis using Python.
• Experience in writing Spark programs for data analysis.
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