Join to apply for the Data Analyst role at CQUniversity
Join to apply for the Data Analyst role at CQUniversity
This range is provided by CQUniversity. Your actual pay will be based on your skills and experience — talk with your recruiter to learn more.
Base pay range
A$93,409.00/yr - A$100,602.00/yr
* Digital Services Directorate
* CQUniversity Rockhampton (other CQUniversity campus by negotiation, excl. SEQ region)
* Higher Education Worker Level 6
* Total Remuneration $110,541 to $119,053 pa (including salary of $93,409 to $100,602 plus 17% superannuation and leave loading)
Join an organisation with an unbreakable belief that quality education, training and research should be available to everyone – regardless of background, location or life circumstances.
Working at CQUniversity
The Digital Services Directorate drives the planning, development, support and continuous improvement of CQUniversity's data management systems. As part of this team, you will help ensure data is secure, high-quality and accessible, supporting informed decision-making and continuous improvement.
In this role, you will contribute to the University's Retention Equity Program through data investigation, analysis, reporting and insight generation. Working with the new Data Platform Operations Management team, you will assess data accuracy, completeness and value to inform the delivery of data-driven projects, dashboards and systems. Your work will help advance real-time intelligence, AI-supported analysis, data literacy and data science across the University.
We are seeking a proactive, detail-focused professional with experience in data analysis or a related role, along with a passion for uncovering insights and championing data-driven transformation. You will be working with the latest technology in the Microsoft BI Stack (Power BI, Azure Analysis Services, Azure Synapse Analytics) and the Microsoft Fabric data platform, so knowledge and experience is these platforms is highly desirable. Strong interpersonal skills and the ability to work confidently with technical teams, business users and senior stakeholders are key.
At CQUniversity, you will join a collaborative, agile team where your work will help shape innovation in higher education.
Position Requirements
* Knowledge of quantitative and qualitative data analysis techniques, including basic statistics and principles for effective data visualisation.
* Experience working with complex datasets including experience with data transformation and data manipulation methods.
* Demonstrated passion for finding and solving problems and building a 'data driven' business culture.
* Experience in AI based exploration of data.
For further information about this position, please refer to the Position Description on the CQUniversity Careers Site.
Applications Close: 11:59pm, Sunday, 20 July 2025
Job Requisition ID: 6196
When submitting your application, please include: Your Current CV or Resume, and a 1-2 page Cover Letter highlighting your relevant skills, experience and suitability for the position.
Work Rights: Visa sponsorship is not available for this position. Candidates must hold the full rights to work in Australia to be considered for this appointment.
CQUniversity is an equal opportunity employer and welcomes diversity in the workplace. Aboriginal and Torres Strait Islander people, and CQUniversity's domestic and international student graduates with post-study work rights are encouraged to apply.
Keywords: Data Scientist | Business Intelligence Analyst | Reporting Analyst | Data Engineer | Data Architect | Insights Analyst | Business Analyst | Data Governance | Data Quality Analyst | Machine Learning Engineer | Predictive Analytics | Quantitative Analyst | Database Developer | BI Developer | SQL Developer | Data Visualisation Specialist | Data Modeller | ETL Developer | Information Management | Analytics Consultant | Dashboard Developer | Reporting Specialist | Cloud Data Engineer | Statistical Analyst | Analytics Engineer
Seniority level
* Seniority level
Not Applicable
Employment type
* Employment type
Full-time
Job function
* Job function
Information Technology and Analyst
* Industries
Higher Education
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