About this role
Create your best future and join as an Intelligence and Decision Analyst.
What’s the role?
As an Intelligence and Decision Analyst, you will turn business questions into trusted insights, recommendations and measurable outcomes. Working across the full analytics lifecycle, you'll source and assess data, perform analysis, challenge assumptions, test hypotheses, and deliver decision-ready intelligence that drives business action. You'll also create trusted and reusable analytical assets using approved data, definitions and enterprise standards to ensure consistency, transparency and value.
Additionally, you'll collaborate closely with business, data and technology stakeholders to understand complex problems and shape the right questions before recommending solutions. You'll leverage analytics, AI and approved emerging technologies to improve efficiency, uncover opportunities, automate suitable activities and extend analytical capability while operating within established governance and risk frameworks.
Lastly, you will build reusable intelligence products that become embedded in business workflows, continuously measuring their effectiveness and refining them over time. You will create trusted views of data by clearly defining quality, lineage and meaning, while applying data, AI, security and risk standards to ensure reliable, reproducible and high-quality outcomes that support confident decision-making.
What do I need?
- Proven experience in Data Analytics and/or Data Engineering within the Banking or Financial Services sector, ideally supporting Credit Risk, Collections, Hardship, or Customer Management functions.
- Strong hands-on expertise in Teradata, SQL, Python, Snowflake, and Power BI. Experience with SAS is highly desirable.
- Demonstrated experience in data analysis, data sourcing, data modelling, reporting, dashboard development, and data visualisation to support business decision-making.
- Solid understanding of data architecture, metadata management, data lineage, data quality, and data governance principles and practices.
- Ability to translate complex data and technical concepts into actionable insights, recommendations, and business outcomes, with strong presentation and stakeholder engagement skills.
- Exposure to modern Analytics, Data Science, and Artificial Intelligence capabilities, including Generative AI (LLMs/GPTs), prompt engineering, AI agent development and evaluation, semantic modelling, data modelling, and AI-assisted analytics, would be highly advantageous.
- Strong stakeholder management, business partnering, communication, and problem-solving skills, with the ability to collaborate effectively across business and technology teams.
- Demonstrated ability to work in fast-paced environments, manage competing priorities, and deliver high-quality outcomes with minimal supervision.
Why join us?
We’re obsessed with becoming our customers #1 banking partner for life and we’re looking for people who are passionate about helping us achieve that goal. In return we’re committed to making Westpac the best place to work in the country. Here are just a few of the ways we’re already doing that:
- Special offers on banking products and discounts from top brands, including generous employee-only mortgage rates!
- Flexible work arrangements to help you achieve a greater work life balance, and a variety of leave options including Culture, Lifestyle and Wellbeing leave.
- Tailored learning and development opportunities to help you grow your career within the bank.
- Lots of opportunities to give back to the Community by getting involved in our many volunteering initiatives
Create your future today
To get started, simply click on the APPLY button
We’re all about creating a supportive and inclusive community. We welcome everyone no matter your age, gender, background, or abilities. We also provide additional support to welcome our veterans, Indigenous Australians and neurodiverse community.
If you need any adjustments during the recruitment process, you can find more information and contact details on our FAQs and how to contact us page, under the Diversity, sustainability and flexibility section.
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