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Closing: 06-Jan-2025
Job Summary
Dates
- Opening Date: Not Available
- Closing Date: 06-Jan-2025
Location
- Toowoomba / Springfield
Salary
- Total Remuneration range of $115,122 to $127,298 pa (includes salary range of $97,272 to $107,560 pa, employer superannuation contributions of 17%, and annual leave loading)
Responsibilities
- Prepare and manage survey data files and reporting processes.
- Analyse datasets to identify trends, assess outcomes, and support decision-making.
- Deliver clear and concise data reports using various scripting and reporting tools.
- Contribute to strategies that enhance learning and teaching outcomes.
- Collaborate with the Academic Analytics Team to support quality assurance and evaluation activities.
Requirements
- Relevant tertiary qualifications and experience in data analysis, including survey methodologies, analyses and reporting.
- Demonstrated experience in the use of R, RMD, Python, or other similar scripting and reporting languages.
- Experience with HTML, ETL processes, database structures and SQL.
- Analytical and solutions-focused approach whilst prioritising and managing projects.
- Excellent interpersonal skills and ability to work collaboratively with a team of professionals.
Benefits
- Employer superannuation contributions of 17%.
- Annual leave loading.
Notes
- For further information about this role, please contact Professor Lyn Alderman, Dean (Academic Transformation) via email lyn.alderman@unisq.edu.au.
- To be considered for this position, you will need to have the right to work in Australia.
Senior Analytics Engineer
The University of New South Wales (UNSW Sydney)
Kensington NSW (Hybrid Flexible Working)
Similar Jobs
Closing: 06-Jan-2025
Job Summary
Dates
- Opening Date: 10-Dec-2024
- Closing Date: 06-Jan-2025
Location
- Kensington NSW (Hybrid Flexible Working)
Salary
- Level 8 From $123k - $133k + 17% superannuation & leave loading
Responsibilities
- Consult and liaise with project leaders, management team, data scientists, education designers and other stakeholders to understand business needs and lead data service planning, delivery and support.
- Collaborate with divisions, faculties and schools to understand their data and analytics needs and provide relevant advice or data solutions that meet their requirements.
- Develop, implement, monitor and maintain data solutions using the University approved platforms, managing and optimising data storage and retrieval systems to enable complex analytical queries and reporting.
- Design and implement data models and define data schemas, relationships and constraints, including principles of normalisation, denormalisation and dimensional modelling, to ensure scalability, performance, and maintainability of analytics processing.
Requirements
- Postgraduate degree in Computer Science, Software Engineering or related field with relevant experience in data engineering, cloud engineering, business intelligence development, or an equivalent level of competency gained through any combination of education, training or experience.
- Advanced cloud computing skills and experience in the development and implementation of data resources and pipelines in cloud-based computing environments. Proven experience in Azure Data Factory/Synapse workspace, Azure Machine Learning Studio and Databricks are highly desirable.
- Advanced programming skills and experience in the implementation and management of structured and unstructured big data analysis. Proven experience in SQL, Python and PySpark is highly desirable.
- Demonstrated proficiency in data manipulation tools to interrogate large-scale databases. Proven experience in Synapse SQL server/serverless server and Databricks SQL server is highly desirable.
- Demonstrated ability to define, develop and implement testing procedures, including knowledge of automated testing software and methodologies.
- Demonstrated ability to conduct impact assessments and implement mitigation measures to ensure compliance with data security and privacy regulations and changes to data collection requirements for the university, identifying ways to collect data in the enterprise systems that protect sensitive data, including research, student and staff data.
- Demonstrable high-level problem-solving and analytical skills, to identify and implement required developments and processes to deliver and improve data service solutions.
- Demonstrated ability to work proactively and effectively in a collaborative and interdisciplinary environment of teams and stakeholders.
- Exceptional communication and interpersonal skills with the ability to build and maintain effective working relationships and convey ideas and information in a clear and professional manner through presentations, written communication, high-quality analysis, submissions, reports and recommendations.
- High level organisational and project management skills with experience contributing to large projects in a technical capacity with a wide variety of stakeholders in an agile, deadline-driven environment.
Benefits
- Flexible working
- Additional 3 days of leave over the Christmas period
- Access to lifelong learning and career development
- Progressive HR practices
- Discounts and entitlements