UTS
Data Engineer (Analyst)We create and contribute to a network of mutually beneficial local, national, and global connections, working collaboratively towards a healthier planet for all
Why UTSVisit website
The University of Technology Sydney is a public research university located in Sydney, New South Wales, Australia. The university was founded in its current form in 1988, though its origins as a technical institution can be traced back to the 1870s.
About the roleAbout the Unit
The Data Analytics and Insight Unit supports the implementation and drives the execution of the University's data strategy with a key focus on creating a whole of institution approach to leverage our data assets and to drive evidence-based decisions. The Unit drives the overall Data, analytics and AI Program and continuously seeks to improve the usability, visibility and management of data assets and works closely with key data and systems managers across the University to achieve the University’s objectives and aspirations in relation to data management and use. We have a cloud based data warehouse which is used to manage and integrate data across key domains of the university – including student enrolment, learning, research, finance and staff data.
About the Role
The Data Analyst – Engineering is responsible for leveraging and integrating data across diverse portfolios and be adept in querying, analysing, transforming and modelling data to generate actionable insights for University stakeholders.
The Data Analyst – Engineering plays a key role in the acquisition, management and accessibility of data and is part of the data management services team., data and system stewards to enhance our data pipelines and data warehouse. Detailed DescriptionAbout You
The Data Analyst will require a high level of creativity, analysis and sound judgement.
You will be the technical expert, and one stop point of contact for pan-University Business Data advice and support. As part of a small team you will work across development, support and design of data acquisition and transformation in UTS’ Data Warehouse and related environments.
- Development and support of the Data Warehousing, Business Intelligence and Analytics environment
- Identify and rectify issues with existing processes, data and reports, recommend and resolve issues
- Analysis of business data to ensure appropriate definitions, data quality management and data integrity are applied and enforced
Specific technology and business knowledge needed: - Data warehousing - Extract Transform and Load (ETL) technologies such as SSISSQL - Python (desirable) - AWS Services such as Redshift, S3, lambda, AWS batch (desirable)
With examples, please outline in a within your Cover Letter, your interest, suitability, and experience to the 3 key selection criteria points below: 1. SQL 2. Dimensional modelling 3. ETL/ELT Remuneration/SalaryRemuneration & Benefits
Base Salary Range: $102,458 to $113,344 pa (HEW 7)
This role attracts 17% superannuation in addition to the base salary.
UTS staff also benefit from a wide range of Employee Benefits include flexible work practices, child care centres, generous parental leave and salary packaging opportunities.
This position is full-time and appointment will be made on a continuing basis. Hybrid working arrangement is currently implemented in the team. How to ApplyHow to Apply
For the full list of the role responsibilities please click the apply link and download the Position Description from the UTS website.
Along with your Resume, you are required to address the above selection criteria in your submission, within your cover letter. For information to assist you with compiling statements to answer the selection criteria, please visit Answering Selection Criteria.
Only those applications submitted via the UTS online recruitment system will be accepted. If you are a current UTS staff member, for help on how to apply through NEO please click here.
Please ensure that the file name for each document submitted includes **IRC286388 and your name. **
Specific enquiries or issues with your application may be directed to the UTS Recruitment Team at ***********@uts.edu.au.
**Closing Date: Monday 8th of July 2024 at 11.59pm (AEST). **
Applicants must have current and valid work rights in Australia.
Accessibility
UTS Recruitment care about digital accessibility. If there is any content in our advertising that you have struggled with, please make us aware so that we can make our information accessible to all.
In addition, if you have a disability that requires adjustment to the recruitment process or an alternative application pathway please contact ***********@uts.edu.au for assistance.
UTS is recognised widely as supporting inclusivity and diversity through our Wingara Indigenous Employment Strategy, Social Impact Framework and UTS Access and Inclusion Plan. Cited as a WGEA Employer of Choice since the inception of the award, we were among the first Australian institutions to receive the Athena SWAN Bronze Accreditation for our commitment to action addressing gender equity in the STEMM disciplines.
We welcome applications from women, Indigenous Australians, people with disability, those who identify as LGBTIQ and applicants from culturally and linguistically diverse backgrounds.
What you'll be responsible for- 🧩
Data Cleaning and Preparation
Extract and clean data ready to use in analysis or to users
- 📶
Data Analysis and Reporting
Analyze data to discover and communicate insights, and offer concrete recommendations for key stakeholders to make critical decisions
- 📊
Data Management and Visualization
Create and maintain the organization’s Business Intelligence tools, and present complex data in simple, visual ways for key stakeholders
- 🤓
Learning agility
Identifies and applies strategies to enhance reception, retention and use of newly acquired information, skills, and abilities
- 🧮
Numerical problem solving
Works with numerical information and performs mathematical calculations to solve problems
- 🔍
Attention to detail
Accurately identifies and rectifies discrepancies or errors that exists in information and deliverables