

Senior Analyst, Data Analytics
- 801939
- VIC- Melbourne CBD
- Data & Analytics
- Permanent Full time
- Opening at: Jul 23 2025 - 06:00 AEST
- Closing at: Aug 6 2025 - 23:55 AEST
- You’ll join a high-performing business, backing talented individuals
- Make a genuine difference through the work you do
- Drive world class, simple and intuitive experiences for customers
Our people are customer obsessed. They prioritise the needs and satisfaction of the customer above all else. Our mindset fosters innovation and creates strong, lasting customer relationships as we strive to be the most customer centric company in Australia and New Zealand.
As the Senior Analyst Data Analytics, you will be part of the Data Analytics team supporting Personal Banking, that’s doubling down on customer obsession.
Each day, you’ll go above and beyond to:
- Apply advanced analytics techniques to design tailored solutions that support strategic business goals
- Manage and prioritize multiple workstreams to ensure timely and impactful delivery
- Develop analytical tools and frameworks to quantify the value of initiatives and ensure they drive financial and operational benefits for Personal Banking
- Generate actionable recommendations that guide and influence key decision-makers
- Gather, integrate, and analyse data from diverse sources to uncover meaningful insights
- Communicate findings and ideas clearly to stakeholders through compelling storytelling and presentations
- Collaborate with analytics partners to provision data and shape insights that drive business outcomes
We’re looking for the best and brightest to deliver the best for our customers. You’ll need:
- Extensive experience working in a similar Senior Data Analyst and/or Data Science role, preferably for a large complex organisation, ideally within Financial Services
- Hands-on involvement in multiple business-focused use cases applying predictive or exploratory analysis
- Excellent skills in communicating insights effectively to a non-expert audience (both verbal and written)
- Demonstrated experience of implementing best practice engineering principles across data sourcing, cleansing, joining and ETL
- Strong problem-solving skills and well versed in stakeholder engagement
- Exceptional SQL, Python/R skills
- Strong understanding of risk in data
- Knowledge across the banking/financial services domain and Agile methodology experience
- It is desirable to have experience across PowerBI and Databricks
A diverse and inclusive workplace works better for everyone
We know that our people make us who we are. That's why we have built a culture of equity and respect – where everyone feels valued and appreciated for being their authentic selves. In partnership with our multiple Employee Resource Groups (ERGs) we continue to foster an inclusive environment, where all NAB colleagues’ unique backgrounds and identities are understood, respected and celebrated. We are committed to providing an environment where you can work your way.
For details on the recruitment process, and accessibility, please visit https://www.nab.com.au/about-us/careers/apply-for-job. To discuss adjustment requirements, please contact the NAB Careers team, via nab.careers@nab.com.au (please reference job number) or visit our Careers page through the link above for other contact options.
Join NAB
If you think this role is the right fit for you, we would love to hear from you. Please note candidate screening and interviews may be conducted prior to the closing date of the job advert. Unsolicited CVs from agencies will not be accepted.
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