28 Oct
|
Baazar
|
Melbourne
ON-SITE, Melbourne CBD | 3 DAYS PER WEEK | 3 MONTHS | UNPAID INTERNSHIP | Flexible start date Please read before applying: This is an unpaid, learning-focused internship. It requires on-site attendance at our Melbourne CBD office 3 days per week for the full 3 months. Remote work is not available. All applicants must answer the screening questions. About Baazar Australia Baazar Australia is a growing Melbourne-based startup developing its digital commerce operations and customer experience. We use data to better understand sales, customer behaviour, product performance and marketing effectiveness. We are looking for motivated students or recent graduates who want to develop their analytical skills through supervised projects connected to real business questions. About the internship As a Data Analytics Intern, you will gain practical experience in data preparation, analysis, dashboards and communicating insights. Your projects may include exploring sales trends, improving product catalogue data, analysing marketing performance and developing customer or operational dashboards. You will receive guidance and feedback as you learn how analytical findings can support business decisions.
Key responsibilities
• Assist with collecting, organising, cleaning and validating sales, product, customer and marketing data.
• Explore datasets to identify trends, patterns and useful insights.
• Help develop dashboards and reports using Excel, Power BI, Tableau or similar tools.
• Support analysis of sales performance, customer purchasing patterns and marketing campaign results.
• Assist with improving product catalogue categorisation and data consistency.
• Check reporting accuracy and document data sources, methods and limitations.
• Present findings clearly through charts, reports and short presentations.
• Collaborate with the team to understand business questions and translate them into supervised analytical tasks. Projects will be selected according to your skills, learning objectives and the availability of suitable data. Qualifications and skills
• Currently studying or recently completed a qualification in Data Analytics, Data Science, Business Analytics, Information Technology, Computer Science, Statistics, Mathematics or a related field.
• Basic understanding of data analysis and visualisation.
• Familiarity with one or more tools such as Excel, Google Sheets, SQL, Python, Power BI or Tableau.
• Strong attention to detail and an organised approach to working with data.
• Interest in how businesses use data to improve decisions.
• Good written and verbal communication skills.
• Reliability, initiative and willingness to ask questions and learn.
• A responsible approach to confidential business and customer information. Previous professional experience is not required. University assignments, personal projects and dashboard examples are welcome. You do not need experience with every tool listed. What you will learn
• How to turn a business question into an analytical task.
• How to prepare and check data before analysing it.
• How to build useful dashboards and reports.
• How to communicate findings to a business audience.
• How to recognise data quality issues and explain analytical limitations.
• How sales, marketing and operational data connect within a startup. Supervision, structured tasks and feedback will be provided throughout the internship. Internship details
•
Location:
Melbourne CBD
• Work arrangement: In office. Office attendance is required; remote work is not available.
• Commitment: 3 days per week, with days and hours agreed before commencement
• Duration: 3 months. Applicants must be able to commit to the full term.
• Start date: Flexible
• Remuneration: Unpaid, learning-focused placement, subject to eligibility and confirmation of an appropriate lawful placement arrangement Applicants seeking a university-approved placement are encouraged to include their course requirements and required placement hours. There may be opportunities to be considered for future paid roles, depending on individual performance, business needs and role availability. Employment following the internship is not guaranteed.
How to apply
Apply through LinkedIn with your CV and answer all of the mandatory screening questions. Applications without complete answers will not be considered. You may also include a dashboard, GitHub profile or data project you are proud of. A portfolio is optional. Build your analytical skills and explore how data supports a growing business with Baazar Australia.
📌 Data Analytics Intern (Melbourne)
🏢 Baazar
📍 Melbourne