About the Company
ANZ Bank is one of Australia’s largest banking and financial services groups, committed to helping people and communities thrive. With a strong focus on innovation, digital transformation, and leveraging data to make informed decisions, we are dedicated to fostering a supportive and inclusive environment where talent can grow. Our Ballarat branch plays a vital role in serving the local community and contributing to our national network of excellence.
Job Description
Are you a motivated individual with a passion for data and a foundational understanding of Python and SQL? ANZ Bank is seeking a Junior Data Analyst to join our dynamic team in Ballarat. This entry-level role is perfect for someone eager to launch their career in data analytics within a leading financial institution. You will work closely with experienced analysts and business stakeholders, gaining hands-on experience in data extraction, analysis, and reporting. We offer a structured mentorship program designed to accelerate your learning and development, ensuring you have the support and resources to succeed.
Key Responsibilities
- Assist in the extraction, cleaning, and transformation of data from various sources using SQL and Python.
- Perform preliminary data analysis to identify trends, patterns, and insights.
- Develop and maintain reports and dashboards to visualize key performance indicators (KPIs).
- Support senior analysts in developing more complex analytical models and solutions.
- Collaborate with business units to understand their data requirements and translate them into actionable analysis.
- Ensure data accuracy and integrity across all analytical processes.
- Participate in team meetings and contribute to ongoing projects and initiatives.
- Continuously learn and apply new data analysis techniques and tools.
Required Skills
- Foundational knowledge of Python for data manipulation and analysis (e.g., Pandas library).
- Proficiency in SQL for data querying and database management.
- Strong analytical and problem-solving skills.
- Excellent attention to detail and accuracy.
- Ability to communicate effectively, both written and verbal.
- Familiarity with Microsoft Excel for data presentation and basic analysis.
- A genuine interest in data and its application in a business context.
Preferred Qualifications
- Bachelor's degree in Data Science, Computer Science, Statistics, Mathematics, Economics, or a related field (or currently pursuing).
- Experience with data visualization tools (e.g., Tableau, Power BI).
- Understanding of statistical concepts and their application.
- Familiarity with version control systems like Git.
- Prior internship or project experience involving data analysis.
Perks & Benefits
- Structured mentorship program with experienced data professionals.
- Opportunities for continuous learning and professional development.
- Comprehensive health and wellness benefits.
- Employee assistance program.
- Generous employee discounts on banking products and services.
- A supportive and collaborative team environment.
- Career progression opportunities within a global organization.
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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