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Graduate Data Analyst - Mandarin Speaking

Entry-levelFull-time
Auckland, Auckland, New Zealandvia ehr CareersPosted Apr 1, 2026
Match with my CV

Technical skills

PythonSQLData analysisBusiness intelligenceAWSAzureGoogle CloudCloud platforms

Role signals

Finance

About this role

Data Analyst – Global Wave Group

Location: Albany, Auckland (Office based)

Working hours: 1 – 9:30 P.M. from Monday to Friday

Reports to: Head of Data

Key Responsibilities

  • Clean, transform, and organize data from multiple sources.
  • Support data validation, quality assurance, and error-checking processes.
  • Build and maintain dashboards and reports using Excel, Power BI, or Tableau.
  • Conduct basic statistical analysis to identify trends and patterns.
  • Assist in preparing data-driven insights and presentations for internal and external stakeholders.
  • Collaborate with team members to support ongoing projects and ad-hoc data requests.

Essential Requirements

  • Bachelor’s degree in Information Technology, Finance, or related disciplines (fresh graduates are welcome).
  • Proficient in Excel with a solid foundation in SQL.
  • Familiar with data tools such as Python, R, Power BI, or Tableau.
  • Detail-oriented with strong analytical thinking.
  • Excellent communication and teamwork skills in both English and Mandarin.
  • Desirable
  • Internship or project experience in data analysis.
  • Prior experience in a corporate or business environment.
  • Familiarity with cloud platforms such as AWS, Azure, or Google Cloud.
  • Understanding of data privacy and security best practices.

Benefits

  • Competitive salary with a performance-based discretionary bonus.
  • Career growth opportunities within a fast-growing international business.
  • Free on-site parking for employees.
  • Well-stocked staff pantry with complimentary food and drinks.
  • Regular team-building activities to strengthen collaboration, connection, and engagement.
  • Company celebrations for major cultural and seasonal festivals throughout the year.
  • Monthly employee birthday celebrations.

Before you apply

  • 1Which parts of your CV prove experience with Python, SQL, and Data analysis?
  • 2Which recent work examples would make your application stronger for this role?
  • 3What details from the original source listing should you confirm before applying?

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