Intelligence and Decisions Specialist

Westpac; Sydney; On-site; AUD 90,000 - 130,000; Full time

Benefits offered by this job

Flexible work arrangements

Learning & development opportunities

Volunteer opportunities

Job summary

Westpac in Sydney is seeking an Intelligence and Decision Analyst to turn business questions into trusted insights and measurable outcomes across the analytics lifecycle. You will source data, perform analysis, test hypotheses and deliver decision-ready intelligence that can be embedded in business workflows, while upholding governance and risk standards.

Collaborating with business, data and technology stakeholders, you will apply AI, modern analytics and data modelling to uncover

Qualifications

• Proven experience in Data Analytics and/or Data Engineering in Banking/Financial Services.
• Ability to translate complex data into actionable insights and business outcomes.
• Strong presentation and stakeholder engagement skills.

Responsibilities

• Turn business questions into insights, recommendations and measurable outcomes.
• Source and assess data, run analyses, test hypotheses and deliver decision-ready intelligence.
• Collaborate with business, data and technology stakeholders and build reusable analytical assets.

Skills

Banking analytics

Stakeholder engagement

Problem solving

Communication

Tools

Teradata

SQL

Python

Snowflake

Power BI

SAS

Job description

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.
• 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.
• 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.
• 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.

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

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.