Data Analyst
2 weeks ago
**About the Role - It is a Melbourne based assignment that will allow suitable resources to work remotely from Sydney, Brisbane and Adelaide.**
As a Senior Data Analyst, you will bring extensive expertise on data handling and curation capabilities to the team. You’ll be responsible for designing and building intelligent domains using market leading tools.
**Key responsibilities**:
- Actively engage in the whole lifecycle (inception, design, development, testing, deployment, operation, monitoring and refinement) of data services.
- Monitor, measure and maintain availability and health of our data assets and associated platforms, working closely with our technology partners.
- Advocate for changes that improve overall platform health and performance.
- Continual oversight of end-to-end data lifecycle, identifying opportunities to automate, build and maintain our data pipelines and data assets.
**Key Skills and Competencies you will bring with you**:
- Strong Data analytical skills - Mandatory
- Understand the different data sources within the project, able to extract & analyse the data (e.g. coverage/gaps),
- Understand reporting requirements, build SQL’s that replicate reporting rules to validate/confirm data requirements,
- Understand and map project source data to enable business calculations and reporting requirements (to confirm correctness/coverage of data)
- Working with Business team and BAs to confirm/update business and technical reporting requirements
- Provision data that supports the reports such that the developers have a set of data that include input and expected results
- Support the development team in understanding the data and business rules
- Experience in Oracle/Postgres DB and SQL - Mandatory for one or more of the DBs
- Banking and Finance Regulatory reporting & MI Reporting - Preferred
- Understanding / experience with APRA/RBNZ CRE & LLfP reporting
- Ability to understand what MI reporting can be expected; e.g. cubes and drill down reporting
**Experience required**:
- ** 5+ years of Business or equivalent industry experience within the Data Engineering field is required**:
- Experience working within the Retail Banking industry will be an advantage
- Tertiary qualification in Information Technology and/or Bachelor’s degree in information systems, or related field preferred
**To be eligible to apply, you must have Australian or New Zealand citizenship or permanent residency.
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