Collaborate with the Director, Student Support to develop and implement a comprehensive Student Support and Success Strategy.
Oversee critical student support projects, ensuring comprehensive planning, resource coordination, and alignment with strategic objectives.
Generate and extract data to analyze and report on student retention strategies and interventions.
Establish systems, processes, and standard reports to facilitate the collection and analysis of primary and secondary student data and feedback.
Monitor and streamline reporting for SSAF and HEPPP funding and associated activities.
Requirements
Tertiary qualifications in a relevant discipline such as Data and Analytics, Data Science, Business, Statistics, or Project Management with at least 4 years subsequent relevant experience.
Advanced proficiency in data analytics, automated reporting, and dashboard development.
Demonstrated experience in project management and strategic planning and reporting.
Knowledge and experience in survey and evaluation data, both quantitative and qualitative.
Benefits
Flexible work arrangements, including hybrid work models.
The University of New South Wales (UNSW Sydney)Similar Jobs
Closing: 09-Sep-2024
Expired
Job Summary
Dates
Opening Date: 26-Aug-2024
Closing Date: 09-Sep-2024
Responsibilities
Investigate data to understand the trends and drivers behind the numbers, collaborating with other analysts and stakeholders to develop broader insights.
Deliver ongoing product and digital performance analysis, tracking, and reporting for the holistic UNSW product suite.
Lead and support projects related to business unit strategy including growth and market entry, competitive intelligence, product development, positioning and go-to-market, process improvement, operations, etc.
Support the design, development, maintenance and optimization of measurement and experimentation frameworks.
Analyse and interrogate multiple data points across the team to find answers to specific questions, ensuring consistency across all reporting.
Use sophisticated tools, such as Power BI and Adobe Analytics dashboards, to provide measurement solutions based on data.
Build dashboards, data visualisations and reports assessing the performance of digital campaigns.
Produce data and reporting, sharing insights from data sets and identifying trends and patterns.
Support the quantitative design of business rules to implement workflows that enable automated lead management.
Requirements
Relevant tertiary qualification with relevant experience in marketing and/or data analysis, or equivalent knowledge.
Demonstrable data analytics skills with proficiency in handling complex data sets and analytical methods.
Experience with analytics tools, particularly Adobe Analytics is highly regarded.
Experience with Excel, Python, SQL programming language and/or data visualisation tools such as Power BI.
Ability to work in a fast-paced environment with well-honed interpersonal skills to interact with senior stakeholders.
Outstanding communication skills, able to present technical information simply.
Robust commercial acumen, able to identify issues or opportunities and proactively create solutions.
Creative problem solving with innovative and unconventional solutions.
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
Notes
To apply, submit your CV, Cover Letter and responses to the selection criteria via the ‘Apply Now’ button.
A copy of the Position Description can be found on JOBS@UNSW.
Applications cannot be accepted if sent directly to the contact listed.
Sourcing, manipulating, cleaning, analysing, and transforming data from diverse sources to meet reporting needs across the Student Support and Delivery portfolio and external University stakeholders upon request.
Developing and implementing data models, algorithms, and statistical methods to uncover trends and patterns.
Translating intricate datasets into succinct reports with compelling narratives, emphasising key findings and recommendations for non-technical stakeholders.
Requirements
Tertiary qualification in data science, computer science, statistics, mathematics, or related fields, or equivalent combination of experience and education/training.
Proficiency in Excel, including Power Query, VBA, advanced functions, pivot tables, and data visualisation for effective analysis and presentation.
Strong proficiency in Python or similar programming languages for data analysis.
Experience with data visualisation tools such as Tableau, Power BI, or similar platforms for creating interactive and visually appealing dashboards.
Benefits
Brilliant benefits and a flexible hybrid work environment!
Under the guidance and support of Senior Academic staff conduct internationally competitive research, resulting in publications in high impact journals
Contribute to teaching, training, scientific mentoring and supervision of students
Contribute to and publish academic papers and other scholarly outputs to a high academic standard in accordance with the research expectations of the University of Melbourne
Actively participate in research seminars and conferences to disseminate research findings as opportunities arise
Contribute to the preparation, or where appropriate individual preparation of research proposal submissions to internal or external funding bodies as relevant
Requirements
Completion (or near completion) of a PhD in statistics, data science, mathematics, computational biology, or a related discipline
Strong background in statistics, data science, and/or AI/ML
Strong computer programming skills
Experience with Bayesian statistics
Benefits
Salary packaging
Subsidised health and wellbeing services
Fitness and cultural clubs
Myki discounts
25% discount on graduate courses to staff and their immediate families
Notes
Visa sponsorship is available for this position
Working with Children Check is required for the successful candidate
The University of New South Wales (UNSW Sydney)Sydney, NSWSimilar Jobs
Closing: 19-Jun-2024
Expired
Job Summary
Dates
Opening date: 04-06-2024
Closing date: 19-06-2024
Responsibilities
Develop your reporting and analysis skills and deliver reporting and support services for research grant management, higher degree research, and research ethics compliance.
Implementing reporting solutions to ensure that business requirements are met.
Analysing business needs in a university setting, extracting data from enterprise systems (HR, Grants, Publications, Finance), creating and delivering reports and delivering reporting solutions.
Identifying and implementing improvements to administrative processes.
Requirements
Basic experience using databases, data analysis software, automation, and programming (e.g., SQL, XML) to analyse datasets, perform complex analysis, and generate reports.
Attention to detail, methodical work approach, and the ability to identify issues.
Proficiency in documenting progress and solutions using software tools.
Organisational skills, both for independent work and collaboration within a team.
Ability to escalate issues, prioritise tasks, and meet deadlines in a fast-paced environment.
Effective customer service, verbal, and written communication skills, especially when conveying technical concepts to internal and external stakeholders.
Understand and commit to UNSW’s aims, objectives, and values.
Knowledge of health and safety responsibilities, including psychosocial and physical aspects.
Benefits
Competitive salary and access to UNSW benefits including:
Flexible/Hybrid working
Additional 3 days of leave over the Christmas Period
Access to lifelong learning and career development
Progressive HR practices
Discounts and entitlements
Affordable on-campus parking
Notes
Hybrid/flexible working, full-time (35 hours week), permanent role
Reporting to the Deputy Director of Research Analysis, Data and Reporting, Karoliina Guss
UNSW is committed to equity diversity and inclusion. Applications from women, people of culturally and linguistically diverse backgrounds, those living with disabilities, members of the LGBTIQ+ community; and people of Aboriginal and Torres Strait Islander descent, are encouraged.
UNSW provides workplace adjustments for people with disability, and access to flexible work options for eligible staff.
The University reserves the right not to proceed with any appointment.
The Data and Research Computing Specialist will play a key role in supporting scientists across SAiGENCI, in particular the Computational Systems Oncology team.
This role will be responsible and accountable for the effective communication of computational requirements and needs to the University of Adelaide’s ITDS and Research Computing teams.
Requirements
Postgraduate degree preferably in information management, information technology, computing, or data-intensive research discipline.
Strong technical knowledge and expertise in research computing infrastructure configuration and management.
Experience in designing solutions for processing large sensitive data sets on shared HPC systems.
Benefits
Fixed term, full-time position available for 12 months with the possibility of extension.
Salary packaging, flexible work arrangements, professional development programs, on-campus health clinic, gym, and fitness facilities.
Notes
Job no: 512920
Fixed term - Full-time
HEO8
Together with the University of Adelaide’s ITDS and Research Computing teams, the South Australian immunoGENomics Cancer Institute (SAiGENCI) is inviting applications to apply for the Data and Research Computing Specialist position.
Applicants should have a postgraduate degree or an equivalent combination of relevant experience and/or education/training.
Lead unit teaching teams and work collaboratively with other unit teaching teams in the course to develop effective unit curricula and learning resources (including through unit leadership roles).
Contribute to the review of units and courses and implement refinements.
Assist in applying industry, clinical and/or research practice into student learning experiences, success, engagement and resources.
Adopt innovation in curriculum design at the unit level and deliver learner-centric, research-informed teaching practices across different levels / modes of delivery.
Maintain deep discipline knowledge which is applied to inform unit design.
Design collaborative learning opportunities at the unit level.
Support diverse learners by designing accessible and inclusive unit material and practices.
Develop effective assessment tasks and rubrics at unit level.
Provide clear assessment criteria and timely feedback to learners to demonstrate learning outcomes.
Monitor and adapt assessment practices to improve learning outcomes.
Provide academic support to students within units and guide students to appropriate support services where appropriate.
Demonstrate emerging reputation in the scholarship of teaching and educational development through independent contribution to pedagogical research activity and publication in learning and teaching, including testing the effectiveness of innovations designed to improve student and graduate outcomes including graduate employment.
Advance knowledge within their specific fields/areas of teaching scholarship and pedagogical research activity.
Requirements
Demonstrated passion for teaching and learning.
Ability to deliver effective teaching practices to improve student success and engagement.
Excellent record of scholarly learning and teaching in UG and/or PG programs, including innovative curriculum design.
Emerging record of scholarly learning and teaching in postgraduate or undergraduate programs.
Ability to contribute to communities through research.
Excellent interpersonal skills and a proven ability to establish good working relationships with colleagues.
Benefits
missing
Notes
Applications are currently being accepted exclusively from our current and former sessional academic cohorts at Deakin. Applicants must have been engaged as a sessional academic at Deakin University within two years of the advertising date to be eligible to apply.
Australian Catholic University Canberra, Australia | Blacktown, Australia | North Sydney, Australia | Strathfield, Australia | Brisbane, Australia | Adelaide, Australia | Ballarat, Australia | Melbourne, AustraliaSimilar Jobs
Closing: 17-Jun-2024
Expired
Job Summary
Dates
03-JUN-2024 - Job Opening
17-JUN-2024 - Job Closing
Responsibilities
Lead the design and creation of a comprehensive student data dashboard tailored to ACU Thrive
Design and implement systems to collect, process, and analyze data on student engagement, learning, and teaching quality
Establish mechanisms to gather and analyze evaluation data specifically for first-year undergraduate units
Consult and work closely with academic and professional faculty staff to understand their data needs
Develop and implement protocols to maintain the accuracy, completeness, and confidentiality of student data
Requirements
Experience in data analysis and dashboard creation
Knowledge of data systems and analysis
Ability to work with academic and professional faculty staff
Understanding of data privacy regulations
Strong communication and collaboration skills
Benefits
Total remuneration valued to $130,436 - $145,816 total rem (pro rata) pa
17% employer superannuation contributions
Annual leave loading of an equivalent to 17.5% of four weeks' salary pro rata payable
Generous benefits including flexible work, study leave, and salary packaging
Notes
National based role, opportunity to work on any ACU Campus
Full time, fixed term contract til 31st December 2024
Candidates must hold Australian work rights to apply for this position
Lead all aspects of data systems development and insightful analytics to support CSI’s work in sustainable agriculture.
Oversee the development, operations and maintenance of the CSI data systems.
Ensure compliance with data governance framework, policies and standards, ensuring data quality and security.
Collaborate and communicate with internal and external stakeholders to understand data needs and expectations.
Deliver solutions that add value and impact to CSI’s work to support farmers in adopting innovative agronomic strategies.
Requirements
Degree in computer science, data science, statistics, mathematics or other relevant field or equivalent experience.
Proven track record of delivering solutions, support and enhancements that enable business operations and innovation.
In-depth knowledge and experience in data analytics, systems administration, and data governance and management.
Analytical mindset to proactively problem solve.
Excellent communication and collaboration skills.
Benefits
Work life balance (including a hybrid work model)
Professional development opportunities
Salary packaging and sacrifice options
Sporting facilities (pool, tennis courts, fields) and car parking on our campuses
Onsite childcare facilities.
Notes
This position is open to Australian Citizens and Permanent Residents; or applicants who hold a current valid work visa commensurate with this position.
Additional information is available in the position description or by contacting Hugh Palmer | Director, Global Digital Farm | hupalmer@csu.edu.au | Ph: 02 6933 2433.
Assist with the completion of funded research projects by providing statistical research data support, including cleaning of data and the analysis of large-scale and longitudinal survey data, qualitative data, meta-analyses, systematic reviews and preparation of research project reports.
Oversee and manage the data management of project data collected across the Institute.
Conduct high-level analysis and collation of statistical research data using basic structural equation modelling programs such as SPSS, MLM, LISREL, R, MPlus and AMOS.
Clean and analyse quantitative and qualitative research data and collate data to prepare statistical research project reports and presentations for internal and external stakeholders.
Conduct meta-analyses and systematic reviews and progress write-up of reviews for publication.
Attend and contribute to research progress meetings with team members, providing updates and driving progress on scheduled data analysis.
Provide training to staff members and students across the research institute on data analysis techniques.
Requirements
Not Available
Benefits
Flexible work arrangements
Study leave
A variety of leave provisions
Salary packaging
Employer contribution to superannuation
Annual leave loading
Notes
This position requires a Working with Children Check (WWCC) and/or Working with Vulnerable People Check (WWVP) (ACT only).
ACU does not accept candidate applications submitted by external recruitment agencies through the ACU careers website.
Charles Sturt UniversityOther, Bathurst, Dubbo, Orange, Wagga WaggaSimilar Jobs
Closing: 15-Sep-2024
Expired
Job Summary
Dates
Opening Date: 30-Aug-2024
Closing Date: 15-Sep-2024
Location
Other, Bathurst, Dubbo, Orange, Wagga Wagga
Salary
Senior Level 4 $206,852 - $258,565
Responsibilities
Lead the Office of Planning and Analytics in delivering market intelligence, performance insights, and data-driven decision support.
Provide insights on higher education policy/ funding arrangements changes for the Executive Leadership Team.
Drive the strategic development of the University’s data analytics strategy, in line with long-term goals.
Collaborate with key stakeholders to ensure data is used as a strategic asset.
Ensure compliance with government reporting obligations and provide actionable insights to senior leaders.
Champion data culture across the University, fostering innovation and excellence in all areas of our operations.
Requirements
Have extensive data analytics experience & expertise.
A deep understanding of the higher education sector, policies, and strategic challenges.
Demonstrated success leading and developing high performing teams.
Exceptional stakeholder management, communication and influencing capabilities.
A passion for innovation and continuous improvement.
Benefits
Flexible working options available.
Notes
Charles Sturt University is an equal opportunity employer committed to diversity and inclusion. Applications are encouraged from Indigenous Australians; people with a disability; women (particularly for senior and non-traditional roles); people who identify as LGBTIQA+; and those from culturally and linguistically diverse backgrounds.