_{03rd March, 2025}

Job Title: Data Analyst/Data Scientist Intern

Location: Melbourne (Office-Based)
Employment Type: Internship
Reports To: Head of Analytics
Unpaid for three month

About the Role:
We are seeking a dedicated and analytical Data Analyst/Data Scientist Intern to join our host company. This internship offers an opportunity to work on real-world client data requests, transforming and categorizing large datasets while building AI-driven insights. As an intern, you will gain hands-on experience with data analytics tools and methodologies, working closely with experienced professionals in the field. Based on performance, there are chances to receive a long term offer. 

Key Responsibilities:

• Data Querying & Analysis: Write SQL queries to extract and manipulate data, transform datasets using Python, and apply machine learning techniques to derive deeper insights.
• Dashboarding & Reporting: Assist in creating visualizations using Tableau or Power BI to highlight procurement trends and identify anomalies.
• Data Quality & Troubleshooting: Support the identification and resolution of data errors, ensuring accuracy and maintaining quality control over deliverables.
• AI & Automation: Collaborate on projects that leverage RestAPI (OpenAI GPT), large language models (LLMs), and AI agents to enhance data transformation processes and predictive analytics.
• Client Engagement: Participate in client meetings and progress updates, contributing to discussions with clear, actionable insights tailored for non-technical audiences.

What We Are Looking For:
We are looking for someone who thrives in a dynamic environment, applies critical thinking, and enjoys problem-solving through innovative data analytics approaches.

Required Skills & Experience:

• Technical Proficiency:
  
  • Proficient in SQL (MS SQL) for data querying and extraction.
  • Familiar with Python for data transformation, automation, and advanced analytics.
  • Understanding of machine learning techniques, including clustering, time-series forecasting, and predictive analytics.
  • Experience with Tableau (preferred) or Power BI for data visualization.
  • Familiarity with RestAPI, especially for integrating OpenAI GPT and AI-driven solutions.
  • Knowledge of large language models (LLMs) and AI agents is a plus.
• Analytical & Problem-Solving Skills:
  
  • Strong ability to interpret complex datasets and translate findings into clear, actionable insights.
  • Detail-oriented with a focus on data quality control.
  • Proactive mindset to troubleshoot, identify gaps, and optimize processes.
• Communication & Stakeholder Engagement:
  
  • Excellent communication skills, with the ability to convey technical insights to non-technical stakeholders.
  • Comfortable in a client-facing role, engaging in meetings, reporting, and maintaining client relationships.
  • Strong collaboration skills to work effectively within the team and across different functions.

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