Appier

Data Analyst Intern

Appier · Taipei, Taiwan
Taipei, Taiwan Intern Closed
Applications are closed for this role. It was originally posted 2026-09-15. It’s no longer accepting applicants — see roles Appier is still hiring for →, or browse the live openings below.
Type
Internship
Experience
0-1 yr

【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.

#L1-JC1

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