Data Analyst

2 weeks ago


Sydney, Australia Osborne Richardson Australia Full time

**Salary**:
$60-$70 per hour

**Location**:
NSW - Sydney

**Ref**:
PK/09

**Description**:
Osborne Richardson specialise in public sector recruitment. Our IT division is headed up by an experienced IT project manager so, when you work with us, you will be working with someone understands your requirements based on real-world experience.
Start Date: ASAP
End Date: 30/04/2024
Pay Rate: $562/day + Super
Hours: 7.5 hours per day
Location: Ultimo / Hybrid
Primary purpose of the role:
The Data Analyst is responsible for supporting the Regulatory Reporting and Business Intelligence team in the provision of high-level data extraction and analysis of enrolment data for inclusion in performance reporting to internal and external stakeholders.
Key Challenges:

- Understanding data requirements for the VET sector including national Australian Vocational Education and Training Management Information Statistical Standard (AVETMISS) reporting standards and extraction of datasets for reporting.
- Engaging in collaborative relationships with stakeholders to support customer/client understanding data extraction, quality and performance issues and resolutions.
- Maintaining knowledge and its implications for area of responsibility in an evolving environment, ensuring data quality, analysis and reporting can reflect these requirements.

Key Accountabilities:

- Contribute to key deliverables such as extracting / cleansing and preparing SAS data sets from multiple sources.
- Effect optimisation of statistical toolsets such as SAS, Oracle SQL Server or similar.
- Provide robust performance reporting and conduct briefings to stakeholders through coordination of statistical collections, data extraction and data analysis
- Deliver advanced and timely statistical outputs and performance reports to support decision making.
- Build and maintain key relationships with internal and external stakeholders and technical staff to determine and resolve issues.

**Experience**:

- Degree in Information Technology / Data Science and/or strong understanding of relational and dimensional data structures.
- Highly proficient in SAS scripting and data analysis with SAS datasets.
- Demonstrated ability to write and understand Oracle SQL scripts.


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