Data Coordinator (Entry Level)
Insight Global
Job Description
Day-to-Day: Insight Global is seeking an Entry-Level Data Analyst to support its product returns organization with one of our Electronic appliance Companies based out of New Jersey. This role focuses on analyzing returned devices, identifying return trends, and helping the business understand why products are being sent back. The ideal candidate is detail‑oriented, curious, and excited to work with data in a fast-paced tech environment.
We are a company committed to creating diverse and inclusive environments where people can bring their full, authentic selves to work every day. We are an equal opportunity/affirmative action employer that believes everyone matters. Qualified candidates will receive consideration for employment regardless of their race, color, ethnicity, religion, sex (including pregnancy), sexual orientation, gender identity and expression, marital status, national origin, ancestry, genetic factors, age, disability, protected veteran status, military or uniformed service member status, or any other status or characteristic protected by applicable laws, regulations, and ordinances. If you need assistance and/or a reasonable accommodation due to a disability during the application or recruiting process, please send a request to HR@insightglobal.com.To learn more about how we collect, keep, and process your private information, please review Insight Global's Workforce Privacy Policy: https://insightglobal.com/workforce-privacy-policy/.
Skills and Requirements
• Fluency in Korean (reading, writing, speaking) to collaborate with cross‑functional teams in Korea.
• Ability to work onsite 4 days per week.
• Strong analytical skills
• Interest in the consumer electronics or technology industry.
• Ability to translate raw data into actionable insights.
Strong communication skills and attention to detail. • Previous internship/co-op in a data, supply chain, logistics, or quality role.
• Experience working with return/defect tracking systems or warranty data.
• Familiarity with R, Python, or additional data tools.
• Understanding of electronics products (mobile, consumer devices, semiconductors, etc.).
Experience working in a global or bilingual workplace.
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