Description:
The Strategic Risk Data Environment (SRDE) strategically sources and models data for the Group’s growing analytics capability. There are vast data assets across the Group and Westpac is looking for data professionals to design, build and maintain key data infrastructure which acquires, processes, stores and models data through a fit-for-purpose analytics platform.
The Senior SAS Developer role is at the intersection of analytics, systems and project delivery, providing technical expertise in SAS based data delivery. The function is accountable for the extraction, transformation and creation of analytically ready data, for use in descriptive, diagnostic, predictive and prescriptive analytics. The main accountability of this role is the effective and efficient build and management of data assets, including design, development, documentation, support and maintenance.
How will I help?
Preparation of analytically ready data for use in descriptive, predictive and prescriptive analytics.
- Work with business units to understand credit risk related data elements, including identification of relevant reference data, metadata and data lineage.
- Ability to work collaboratively within an Agile delivery framework.
- Analyse source system data and identify any derived measures that are used by business.
- Development of data definitions, including business rules, physical level data rules, field types, formats, profiling, data sourcing and end usage of the data.
- Data Publication, involving managing the transition of data from a conceptual state, such as a prototype, strategy or model, to operational state in a system for decisioning. Ability to provide the link between systems functions, analytics or modelling and project functions.
- Source data identification, involving identifying the optimal source of the required data variables (e.g., those required for modelling, calculation and reporting).
- Data Investigation - Analyse data for issues to help determine the root cause of the issue and where required, the development of business rules that need to be applied.
- Provide thought leadership and subject matter expertise on analytical ready data to the analytics, projects, systems and business teams.
- Maintain and enhance analytical data knowledge through the publication of information into the analytics knowledge management solution.
Development, management and support of analytically ready data, delivered in the Business Managed domain of the Analytics Data Layer and the Calculation Engine.
- The development of analytical data routines for extraction, alignment, transformation and preparation for analytical consumption.
- Engineering, detailed design and optimisation for data processes that exist in the Analytics Data Layer.
- Manage changes to the Business Managed domain of the Analytics Data Layer including the addition, subtraction and update of data.
- Development and enhancement of the Analytics Data Framework by providing thought leadership on how analytics data needs to be managed, delivered and created.
- The creation and management of automation to schedule data processes and publish analytics
- Embedding of the Agile culture and delivery methodology into the business for on-going changes to the Analytics Data Layer.
- Support the Analytics Data Layer through business as usual operations