JR118353

Data Analytics_UAT

Here at BNZ, it's about more than just banking. We work together in an agile, energising environment to create innovative solutions through our promise "If you can imagine a better future, let's find a way."



We support wellbeing, flexible working and have a generous leave offering. There is the opportunity for growth, learning and career development. No two days are the same.

Reponsible 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 3 - 5 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.

This is an exciting opportunity to join us! We're bold thinkers who are taking brave steps to create a company that people want to work for, and customers want to bank with. If you're ready to join a fun organisation where we are proud of our culture and how we are helping New Zealander's to 'Find their way', then show your interest by submitting your application - we can't wait to read it.



Ehara taku toa i te toa takitahi, engari he toa takitini" - Success is not the work of an individual, but the work of many.”



Applications will be reviewed regularly across the advertising period, but we do reserve the right to close applications early.

Christchurch

50000.00 to 60000.00 Per annum

Permanent

Emma Preece