Database Specialist

This role will be critical in driving client acquisition and business expansion through data-driven strategies, advanced database management, and market intelligence analysis.

The successful candidate will play a key role in maintaining and optimizing the company’s client database systems while delivering insights on mortgage industry trends, lending rate fluctuations, and economic indicators. This role directly supports the advisory team and the broader business development function in enhancing operational efficiency and decision-making.

Hours: minimum 30 hours, max 40 hours

Key Responsibilities:

• Design, maintain, and enhance internal client databases to support targeted marketing and acquisition campaigns.
• Filter, categorize, and segment client data to identify new business opportunities.
• Implement data cleansing protocols to ensure accuracy and compliance with data privacy regulations.

• Analyze datasets from external sources (e.g., RBNZ, financial institutions, Stats NZ) on interest rates, inflation, housing market trends, and consumer behavior.
• Develop dashboards and reporting tools to visualize market comparisons across lending products and institutions.
• Provide insights to management and financial advisers for product strategy and client outreach.

• Administer and monitor database performance, implementing upgrades and patches as needed.
• Maintain data integrity, access controls, and backup protocols in compliance with internal and external regulatory standards.
• Collaborate with IT vendors or partners on system integration and database scalability.

• Provide refined data sets to support the licensed advisers’ assessment and recommendation processes.
• Assist in preparing analytical reports on client clusters, lending patterns, and mortgage product performance.

• Maintain up-to-date knowledge of relevant legislative, compliance, and data governance changes.
• Review and integrate updates from financial market sources to ensure business readiness and competitive offerings.

Qualifications and Experience:

• A New Zealand or Australia Bachelor’s degree in Computer Science, Information Systems, Finance, or a related field; or
• At least 3 years’ professional experience in database administration, data analytics, or financial analytics role in Australia or New Zealand
• Demonstrated experience working with relational database systems (e.g., MySQL, PostgreSQL, SQL Server).
• Proficiency in data visualization tools (e.g., Power BI, Tableau) and scripting languages (e.g., Python, SQL).
• Strong analytical mindset with attention to detail and an understanding of financial and mortgage industry data.
• Knowledge of Australia or New Zealand’s lending and compliance frameworks is an advantage.

If this sounds like you, click Apply Now!!!