Data Analyst Intern
Appier
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Description
【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.
This job is found at InterviewStack.io
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About Appier
Appier is a technology company specializing in artificial intelligence solutions to help businesses make smarter decisions and improve marketing effectiveness. It offers AI-driven products for advertising, customer engagement, and data analytics across multiple industries globally.