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Urgent! Data Analytics and Development Summer Intern Job Opening In Auckland – Now Hiring ZURU Toy Company

Data Analytics and Development Summer Intern



Job description

Ready to reimagine your career?

Apply now to join ZURU as a Data Analytics & Development Intern this summer!
ZURU is a leading FMCG/CPG/Toys company committed to leveraging the power of data and analytics to drive innovation and strategic decision-making.

We are currently seeking a motivated and talented Data Analytics and Development / Data Science Summer Intern to join our team.

This is an excellent opportunity for a student or recent graduate with a background in data engineering, computer science, or analytics to gain hands-on experience building and optimising data pipelines, managing large-scale data systems, and supporting analytics initiatives in a fast-paced, professional environment.

What You'll Do

  • Assist in the design, development, and maintenance of data pipelines and ETL processes to ensure efficient data collection, transformation, and integration across multiple sources.
  • Support the management and organization of large-scale datasets, ensuring data quality, consistency, and accessibility for downstream analytics and reporting.
  • Collaborate with cross-functional teams to understand data requirements and deliver reliable, well-structured data solutions that support business initiatives.
  • Work with cloud-based data infrastructure (AWS & Databricks)
  • Contribute to the optimisation and automation of data workflows to improve performance, scalability, and reliability.
  • Assist in building and maintaining data models, schemas, and APIs that enable efficient data consumption by analytics and business intelligence teams.
  • Develop and maintain comprehensive documentation including data dictionaries, process diagrams, and pipeline design notes.
  • Participate in regular team meetings and technical reviews, sharing progress, proposing improvements, and exploring new technologies and methods.
  • Stay informed about industry best practices, emerging tools, and trends in data engineering, cloud computing, and analytics.
  • What You'll Bring

  • Currently pursuing or recently completed a degree in Data Engineering, Computer Science, Software Engineering, Information Systems, or a related field.
  • Hands-on experience with programming and query languages such as Python and SQL for data manipulation and automation.
  • Familiarity with data engineering concepts and workflows, including relational databases, ETL processes, data pipelines, and data lifecycle management.
  • Understanding of or exposure to data modelling, schema design, and version control (, Git) is an advantage.
  • Experience with data visualization and reporting tools (, Tableau, Power BI) is a plus.
  • Knowledge of cloud platforms and technologies such as AWS, Databricks, or similar modern data ecosystems is highly desirable.
  • Strong analytical and problem-solving skills with an ability to design efficient and scalable data solutions.
  • Excellent communication and teamwork abilities, with a collaborative approach to solving technical challenges.
  • Ability to manage multiple projects in a fast-paced, evolving environment while maintaining attention to detail.
  • Self-driven and eager to learn, with a proactive attitude toward mastering new tools, technologies, and best practices.

  • Required Skill Profession

    Mathematical Science Occupations



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