Data Analyst- UNSW Business School

UNSW; Sydney; On-site; AUD 97,000 - 119,000; Full time

Benefits offered by this job

17% Superannuation

Leave loading payments

Cultural leave

Discounts and entitlements

Job summary

UNSW is seeking a Data Analyst to support accreditation processes through high-quality data analysis, insights and reporting. You will collect, integrate and interpret data to produce dashboards and visuals that support AACSB, EQUIS and PRME reporting.

Using Excel, Power BI, Tableau and programming languages (Python, SQL or R), you will transform large datasets into actionable insights while improving data collection and analytics capability within the Business School.

Qualifications

• A relevant tertiary degree with experience in data analysis and data modelling or proven equivalent competency gained through any other combination of education, training, or experience.
• Demonstrated experience working with large data sets, from a range of structured and unstructured sources to draw insights and produce visualisations.
• A high competency manipulating and analysing data in Excel and the ability to model and analyse in one or more programming languages (preferably Python, SQL, R).
• A high competency in data visualisation tools such as Power BI and knowledge of MS Azure's cloud platform and applications such as Azure Data Factory, Data Bricks & Analysis Services.

Responsibilities

• Deliver high-quality data analysis, insights and reporting to support accreditation and strategic decision-making.
• Create interactive dashboards and visualisations from multiple data sources.
• Support development of reliable data systems and reporting processes.
• Provide analysis and advice to senior stakeholders and accreditation teams.

Skills

Data analysis

Data modelling

Excel

Python

SQL

R

Power BI

Tableau

Education

Relevant tertiary degree

Tools

Power BI

Tableau

Python

SQL

R

Azure Data Factory

Azure Databricks

Azure Analysis Services

Excel

Job description

• Employment Type: Full Time, 35 hours per week
• Duration: Continuing
• Remuneration: Professional Level 6 from $108,021 plus 17% super
• Visa sponsorship is not available for this position. Candidates must hold unrestricted work rights to be considered for this position.

This Job is based in Australia

• Employment Type: Full Time, 35 hours per week
• Duration: Continuing
• Remuneration: Professional Level 6 from $108,021 plus 17% super
• Location: Kensington, New South Wales
• Visa sponsorship is not available for this position. Candidates must hold unrestricted work rights to be considered for this position.

Position Summary

The Data Analyst supports the UNSW Business School's accreditation, continuous improvement and strategic decision-making activities through the delivery of high-quality data analysis, insights and reporting. Working closely with stakeholders across the Faculty, the role collects, integrates, analyses and interprets complex data from multiple sources to produce meaningful reports, interactive dashboards and visualisations that support accreditation requirements, curriculum and educational quality initiatives, and evidence-based improvement of student learning and program outcomes including AACSB, EQUIS and PRME.

The position manages data capture and reporting processes, supports the development of accessible and reliable data systems, and provides analysis and advice to senior Faculty stakeholders and the Accreditation team. Using tools such as Excel, Power BI, Tableau and programming languages including Python, SQL or R, the Data Analyst transforms large and complex datasets into clear, actionable insights while identifying opportunities to improve data collection, reporting and analytical capability across the Business School.

The role requires strong technical and analytical capability, attention to detail and the ability to manage competing priorities and reporting deadlines in a fast-paced environment. Strong stakeholder management and communication skills are essential, with the ability to translate complex data into clear and meaningful information for a range of audiences.

The role reports to the Senior Business Performance & Planning Analyst and has no direct reports.

Some Key Skills Required

• A relevant tertiary degree with experience in data analysis and data modelling or proven equivalent competency gained through any other combination of education, training, or experience.
• Demonstrated experience working with large data sets, from a range of structured and unstructured sources to draw insights and produce visualisations.
• A high competency manipulating and analysing data in Excel and the ability to model and analyse in one or more programming languages (preferably Python, SQL, R).
• A high competency in data visualisation tools such as Power BI and knowledge of MS Azure's cloud platform and applications such as Azure Data Factory, Data Bricks & Analysis Services.
• Demonstrated technical capability to manipulate, analyse and present data in dynamic and visually interesting formats.
• Experience with international business school accreditation bodies and their standards and requirements, as well as of the Australian higher education sector desirable.

Please refer to the position description for full details.

Benefits And Culture

UNSW offer a competitive salary and access to a plethora of UNSW-perks including:

• Career development opportunities
• 17% Superannuation contributions and additional leave loading payments
• 10 days paid cultural leave per year
• Additional 3 days of leave over Christmas period
• Discounts and entitlements (retail, education, fitness)

More information on the great staff benefits and culture can be found here

Pre-Employment Checks

Aligned with UNSW's focus on cultivating a workplace defined by safety, ethical conduct, and strong integrity preferred candidates will be required to participate in a combination of pre-employment checks relevant to the role they have applied for.

These pre-employment checks may include a combination of some of the following checks: -

• National and International Criminal history checks
• Entitlement to work and ID checks
• Working With Children Checks
• Completion of a Gender-Based Violence Prevention Declaration
• Verification of relevant qualifications
• Verification of relevant professional membership
• Employment history and reference checks
• Financial responsibility assessments/checks.
• Medical Checks and Assessments

Compliance with the necessary combination of these checks is a condition of employment at UNSW

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.