CoreData Pty Ltd

careers-icon 0 opportunities

location-icon Australia

users-icon Less than 100 employees

Data Analyst (Internship)

About CoreData

CoreData is looking for a talented university student studying Economics, Commerce, Business Analytics, Data Science, or a related field to join us as part of a paid Data Analyst Internship. We provide hands-on experience in market across a range of industries, with a focus on financial services.

 

The Role

The Data Analyst will provide support and assistance in generating insights for our market research projects, from building the analysis and models behind an insight to shaping the story and exploring new ways AI can support the work.

This includes:

·         Data Analysis & Insight Generation: Gather and clean datasets from multiple sources (internal, client and public, e.g. ABS, APRA, ASIC and ATO), then use Excel and Python to identify trends, patterns, and anomalies, and translate these into what they mean for the business.

·         Market & Opportunity Sizing: Build statistical or machine learning models in Excel and Python that estimate market size, niche segments, or business opportunities.

·         Research Development: Partner with the research team to scope new project ideas from company and public data, identifying industry angles worth pursuing and framing them into a proposal.

·         Business Intelligence: Communicate findings effectively through written reports and PowerPoint presentations.

·         AI Solutions: Explore opportunities to identify and prototype AI use cases across the business, from internal tools to client-facing offerings.

 

Who This Role Is Ideal For

This role would suit someone who:

  • Is currently studying at university or has recently graduated (e.g. Economics, Commerce, Statistics, Data Science, or any related degree).
  • Is proficient in Python for data analysis, with some exposure to statistical or machine learning modelling (R experience a plus).
  • Is proficient in Excel and PowerPoint for data organisation, analysis, and reporting.
  • Has familiarity with survey and market research data.
  • Has strong analytical communication, with the ability to clearly explain findings and the reasoning behind them, in both written and verbal form.
  • Is organised, reliable and able to manage multiple tasks across 3 days per week.
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