Data Analyst

at  BankVic

ABOUT BANKVIC:

We are the small bank of big opportunity.
We exist to serve those who protect and serve our community. Founded 50 years ago by Victoria Police officers, we have since grown to over 120,000 members from the police, health, and emergency services. Because we’re small, we each have a greater impact. We challenge ourselves to try new things. We aren’t afraid to own our mistakes, or call something out.
As a certified B Corporation, we are committed transparency, accountability, and working in the best interest of our members, community and each other. Being a small bank also means you can get involved in a broad range of work and gain exposure to parts of the organisation outside of your own team.
If you’re seeking to make a difference and find purpose in your work, it’s time to join us at BankVic.

THE ROLE:

Reporting into Business Intelligence Manager, you will provide analytical and data support to BankVic through reporting and analysis of financial, operational, risk, and member demographic factors. As a Data Analyst, you will work with each department to identify process and business improvement opportunities, provide new information and insights, inform planning, continuous improvement, and performance.

KEY RESPONSIBILITIES:

• Identify, interpret, and analyse complex data including the identification of trends and patterns to assist the business with decision making and problem solving.
• Apply expert quality assurance, validation, and data linkage while identifying and embedding relevant and potentially new sources of data.
• Ensuring quality and accuracy of data through filtering and cleaning.
• Work closely with stakeholders to translate data and breakdown findings and assumptions.
• Provide hands on support in building and refining existing reports.
• Actively manage risk of breaches to appropriate records, information and knowledge management systems, protocols, and policies.

TO BE SUCCESSFUL IN THIS ROLE, YOU WILL HAVE:

• Tertiary qualification or higher in mathematics, business, information analytics, or IT related discipline.
• Strong SQL writing skills in an analytics and data warehousing setting
• Experience in Power BI data modelling and visualization and ETL tools such as SSIS.
• Knowledge and understanding of financial services products and systems.
• Prior experience in retail lending reporting is well regarded.
• Experience in developing data visualizations and dashboards to support decision making and communication of analytical outputs.
• Experience with database management, data modelling and reporting applications.
• Strong MS Office Skills, especially advanced Excel Skills.