Junior Data Analyst – Python & SQL Focus, Mentorship Included

🏢 Commonwealth Bank of Australia📍 Armidale, NSW, Australia💼 Full-Time💻 On-site🏭 Financial Services💰 60000-75000 per year

About the Company

The Commonwealth Bank of Australia (CBA) is one of Australia’s leading multinational banking and financial services corporations. With a rich history of serving individuals, businesses, and communities across Australia and globally, CBA is committed to leveraging technology and data to deliver exceptional customer experiences and drive innovation. We foster a culture of learning, growth, and collaboration, supporting our employees to reach their full potential.

Job Description

Are you a highly motivated individual with a passion for data and a foundational understanding of Python and SQL? Do you thrive in an environment where continuous learning and mentorship are highly valued? Commonwealth Bank of Australia is seeking a Junior Data Analyst to join our dynamic team in Armidale. This entry-level role is perfect for someone looking to kickstart their career in data analytics. You will work closely with experienced analysts and business stakeholders, gaining hands-on experience in data extraction, transformation, analysis, and reporting. We are committed to providing comprehensive mentorship and training to help you develop into a skilled data professional.

Key Responsibilities

  • Assist in the collection, cleaning, and processing of large datasets using Python and SQL.
  • Perform basic exploratory data analysis to identify trends, patterns, and anomalies.
  • Support senior analysts in developing and maintaining data dashboards and reports.
  • Write and optimize SQL queries to extract data from various databases.
  • Collaborate with business units to understand their data needs and translate them into analytical solutions.
  • Document data processes, methodologies, and findings clearly and concisely.
  • Actively participate in training programs and seek feedback for continuous improvement.

Required Skills

  • Foundational understanding of Python for data manipulation (e.g., Pandas).
  • Basic knowledge of SQL for querying and managing databases.
  • Strong analytical and problem-solving abilities.
  • Eagerness to learn new technologies and data analysis techniques.
  • Excellent verbal and written communication skills.
  • Ability to work effectively both independently and as part of a team.
  • High attention to detail and accuracy in data handling.

Preferred Qualifications

  • Bachelor's degree in Computer Science, Statistics, Mathematics, Economics, or a related quantitative field.
  • Familiarity with data visualization tools such as Tableau or Power BI.
  • Basic understanding of statistical concepts.
  • Exposure to version control systems (e.g., Git).
  • Prior experience with Microsoft Excel for data analysis.

Perks & Benefits

  • Competitive annual salary with performance incentives.
  • Comprehensive health, dental, and vision insurance.
  • Generous paid time off and public holidays.
  • Structured mentorship program with senior data professionals.
  • Access to industry-leading training and development courses.
  • Employee assistance program and wellbeing initiatives.
  • Opportunities for career advancement within a large financial institution.
  • Modern, collaborative office environment in Armidale.

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.

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