Junior Data Analyst – Python & SQL Focus, Mentorship Included

🏢 ANZ Bank📍 Ballarat, Victoria, Australia💼 Full-Time💻 Hybrid🏭 Financial Services💰 60000-80000 per year

About the Company

ANZ Bank is one of Australia’s largest and most reputable financial institutions, committed to fostering talent and driving innovation. We serve millions of customers across Australia and globally, offering a wide range of banking and financial products and services. At ANZ, we believe in supporting our employees’ growth, providing a collaborative environment where learning and development are prioritized. Join us to be part of a dynamic team shaping the future of finance.

Job Description

We are seeking a highly motivated Junior Data Analyst to join our growing analytics team in Ballarat. This entry-level role is perfect for someone passionate about data, eager to learn, and ready to kick-start their career in a supportive environment. You will work on real-world data challenges, gaining hands-on experience with Python and SQL, while benefiting from dedicated mentorship. This is an incredible opportunity to contribute to meaningful projects, extract actionable insights, and grow professionally within a leading financial institution.

Key Responsibilities

  • Assist in collecting, cleaning, and preparing data from various sources using SQL and Python.
  • Perform basic data analysis to identify trends, patterns, and anomalies.
  • Create and maintain clear, concise data visualizations and reports.
  • Collaborate with senior analysts and business stakeholders to understand data requirements.
  • Support the development and implementation of data-driven solutions.
  • Participate in regular team meetings and contribute to problem-solving sessions.
  • Continuously learn and apply new data analysis techniques and tools under guidance.

Required Skills

  • Proficiency in SQL for data querying and manipulation.
  • Basic knowledge of Python for data analysis (e.g., Pandas, NumPy).
  • Strong analytical and problem-solving skills.
  • Excellent attention to detail and accuracy.
  • Ability to communicate effectively, both verbally and in writing.
  • Bachelor's degree in Data Science, Computer Science, Statistics, Mathematics, Economics, or a related quantitative field.

Preferred Qualifications

  • Familiarity with data visualization tools (e.g., Tableau, Power BI).
  • Experience with version control systems (e.g., Git).
  • Understanding of statistical concepts and their application in data analysis.
  • Prior internship or project experience in a data-related role.

Perks & Benefits

  • Dedicated mentorship program with experienced data professionals.
  • Opportunities for professional development and continuous learning.
  • Competitive salary and performance bonuses.
  • Comprehensive health and wellness programs.
  • Flexible hybrid work model.
  • Employee assistance program.
  • Access to a vibrant and collaborative team culture.
  • Employee discounts on banking products and services.

How to Apply

If you are interested in this position, please click the "Apply Now" button below. To ensure your application is properly considered, please prepare the following:

  • An up-to-date Resume or CV
  • A brief cover letter summarizing your experience and motivation

Applications are reviewed on a rolling basis. Only shortlisted candidates will be contacted for an interview.

Apply Now

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