Data Analyst BB

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.

Responsible For
Identifying, prioritising and undertaking a range of research and analytical activities leveraging all available data assets to help solve complex business problems through the development and application of advanced statistical modelling techniques.

Main Activities
Interacts with product and service teams to identify questions and issues for data analysis and experiments.
Develops and codes software programs, algorithms and automated processes to cleanse, integrate and evaluate large data sets from multiple disparate sources.
Providing hands-on support as required in formulating a coherent cross-business approach and strategic/tactical plan for big data initiatives.
Learning, adopting and leveraging data science best practice to delivery quantitative improvements to the analytics and process modelling functions.
Working with massive and complex data sets from multiple sources, utilising big data tools and techniques for the purposes of analysing, providing insight and validating hypotheses.
Performing deep dive analyses of experiments through reliable modelling methods that include numerous explanatory variables and covariates.
Translating analytical insights into concrete, actionable recommendations for business, process or product improvements.
Making recommendations for the collection of new data or the refinement of existing data sources and storage.
Developing best practice guidelines for instrumentation and experimentation.


Key Skills
Ability to manipulate and analyse complex, high-volume, high dimensionality data and metadata from varying sources.
Strong passion for empirical research and for answering hard questions with data.
Expert knowledge of analysis tools and big data technologies (Map/Reduce, Hadoop, Hive, etc).
Familiarity with relational/non-relational data manipulation, machine learning, and scientific statistical analysis.
Ability to communicate complex quantitative analysis in a clear, precise, and actionable manner.
Flexible analytical approach that allows for results at varying levels of precision.
Solid understanding and experience with programming logic and various paradigms.


Typical Experience
At least 5 - 7 years experience in a data science environment (experience may be corporate, research/government or academia) coupled with tertiary qualifications to a Masters or PhD level in a relevant technical field.

"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 (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."