251 Data Analytics jobs in Australia

Overview

UNSW is a workplace where the best people come to do their best work. We aspire to be Australia’s global university, improving and transforming lives through excellence in research, outstanding education and a commitment to advancing a just society.

Why your role matters

The Director, Data Analytics defines and delivers UNSW’s enterprise-wide analytics strategy, driving advanced analytics, BI, and AI-enabled insights to support evidence-based decision making. Reporting to the Chief Data Officer, the role provides thought leadership, sets governance frameworks, and fosters a culture of data-driven decision making through strong cross-University collaboration and team leadership.

About the Role

The successful applicant will be required to undertake and have experience in the following areas of expertise:

• Lead the development and delivery of an enterprise analytics strategy and roadmap aligned to UNSW’s Data strategy and priorities.
• Establish and oversee the operating model for analytics within the EDO function, ensuring clarity of roles, minimisation of duplication, and effective coordination across the University.
• Build and mature an enterprise-wide analytics service spanning business intelligence, reporting, advanced analytics, and AI/ML, underpinned by modern platforms, data models, and self-service capabilities.
• Ensure analytics outputs are accessible, high-quality, and aligned with enterprise governance, data quality, security, regulatory, and ethical standards.
• Lead and grow a high-performing multidisciplinary analytics team, fostering a culture of performance, innovation, continuous improvement, and data literacy. Champion communities of practice to strengthen collaboration and capability.
• Oversee delivery of analytics programmes end-to-end, from business case through execution to benefit realisation ensuring effective prioritisation, financial management, and risk mitigation.
• Demonstrate and communicate the value of analytics through clear performance metrics and transparent reporting to the CDO and executive committees.

Responsibilities and Requirements

About You

• Relevant tertiary qualification with substantial relevant experience, or equivalent competence gained through any combination of education, training and experience.
• Proven experience leading analytics strategy and delivery in a large, complex organisation, with the ability to align analytics services to strategic priorities.
• Strong background in advanced analytics, reporting, data visualisation, and AI/ML, with demonstrated ability to translate emerging technologies into practical, value-driven solutions.
• Solid understanding of data governance, quality, privacy, security, and architecture, ensuring analytics outputs are trusted, compliant, and sustainable.
• Experience delivering enterprise-wide analytics programmes, from business case and planning through to execution, benefit realisation, and value measurement.
• Exceptional ability to engage and influence senior executives, academics, and professional staff, simplifying complex concepts and building buy-in.
• Demonstrated experience building and leading high-performing, multidisciplinary analytics teams, and fostering a culture of collaboration, innovation, and continuous improvement.
• Experience representing analytics in senior governance forums, shaping decisions, and managing risks and dependencies across portfolios.

For further information on the role and responsibilities, please refer to the Position Description.

How to Apply

Submit your CV & cover letter detailing your interest and suitability for the job (as per the skills & experience bullet points in the Position Description) before Monday 6th October by 11:55pm. Sponsorship is not available for this role; valid Australian working rights are required on application.

UNSW Benefits and Culture

UNSW recognises it is the contributions of our staff that make UNSW one of the best universities in Australia and the world. Benefits include:

• Flexible Working Options (work from home, flexible hours etc)
• Additional 3 days leave during December festive period
• Career development opportunities
• Up to 50% discount on UNSW courses
• Flexible 17% Superannuation contributions, additional leave-loading payments and salary sacrifice
• Discounts and entitlements (retail, education, fitness)

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. We provide workplace adjustments for people with disability and flexible work options for eligible staff.

Notes

Seniority level: Director | Employment type: Full-time

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HUB24 leads the wealth industry as the best provider of integrated platform, technology and data solutions. At HUB24, we know the smartest investments start with our people. We are innovative and ambitious, and we move fast.At HUB24, we empower our employees to bring their ideas and creativity to work. Rather than getting bogged down in bureaucracy and red tape, we build a culture that supports our team members to have a real impact on our business and the success of our customers.HUB24 Limited is a company listed on the Australian Securities Exchange (ASX: HUB)**THE HUB24 STORY**We think creatively and we’re not constrained by traditional thinking or barriers to success. We’re led by experts, realists with ideas, grounded in commercial reality who are bold enough to visualise the future a little differently and to advocate for what matters to our clients. We are here to lead change and are committed to empowering better financial futures for more Australians.**Benefits and Life at HUB24**Learn more about our employee benefits**Job Summary:**We are seeking a strategic and business-oriented Analytics Lead to drive data-informed decision-making at HUB24. You will work closely with stakeholders to translate business goals and challenges into actionable analytics solutions, delivering measurable impact. With a strong grasp of the HUB24 data landscape, you'll design scalable, reliable solutions that support key objectives and influence critical decisions across projects and planning. As a team leader, you’ll also mentor analysts and ensure high-quality delivery aligned with business priorities.**Responsibilities:*** Identify and assess business needs where data analytics can provide effective, high-impact solutions.* Design, develop, and deliver mature, reliable, and scalable analytics solutions aligned with strategic goals.* Generate objective, actionable insights that drive measurable business outcomes.* Apply advanced analytical and statistical modelling techniques where required to enable step-change improvements in business operations and overall maturity.* Act as a central point of contact between the broader Data Science & Analytics (DS&A) team and the business.* Manage and prioritise incoming requests and programs to ensure alignment with strategic objectives.* Collaborate with sub-teams—including Data Engineering and Data Visualisation—to define and deliver end-to-end analytics program waypoints.* Coordinate technical, resourcing, and scheduling requirements across teams and communicate these clearly to all relevant stakeholders.* Proactively engage with key stakeholders across the business to understand priorities, opportunities, and challenges.* Identify and leverage existing or new data assets to deliver commercial insights that support critical business initiatives.* Provide in-depth analysis to support key decision-making processes and execution strategies.* Build and maintain trusted partnerships with business leaders to become a valued member of the strategic decision-making team.**Requirements:*** Bachelor’s degree in Data Science, Mathematics, Statistics, or a related field.* Strong knowledge of advanced statistical techniques and their practical applications.* Proficiency in SQL and Python for data manipulation, analysis, and modelling.* Proven experience applying analytical thinking, design thinking, and critical problem-solving to real business challenges.* Demonstrated success in applying advanced statistical modelling to deliver measurable business outcomes.* Experience in business partnering and influencing decision-making across multiple business units through data-driven insights.* Background in Financial Services or Data Analytics Consulting is highly regarded.* Leadership experience in managing or mentoring small teams or project groups.* Hands-on experience with Databricks, DBT, or similar modern data platforms.* Exposure to analytics across functions such as Customer, Marketing, Operations, or Process Optimisation.**The Recruitment Process*** Acknowledgement email once your application has been submitted.* Our Talent team will start reviewing your application. If unsuccessful, you will be notified.* If your application progresses to the next stage, our Talent team will be in touch to discuss your alignment with the role.* If you’re a person with an impairment or disability, this is an opportunity to share with us any accessibility requirements that you may have for the role.* Should you require any accommodations to the recruitment process, please email , and one of our team will contact you.* Interviews can happen virtually or face-to-face with the hiring manager or other members of the broader team. Depending on the role, there may be more than two interviews.* Communication of outcomes to successful and unsuccessful candidates and feedback provided.**As part of our process, a police check will be conducted on all successful candidates*. Further details on our**can be found here.***2024 Circle***Back***Initiative Employer** – we commit to respond to every applicant.Endorsed by **,** we are proud to be recognised as an employer of choice for women.We have been nominated and placed on the**BOSS Best Places to work list.**Seek Star Awards 2024 - Nominated as a finalist for the **Best Employer Brand Initiative***HUB24 is an equal opportunity employer.** We are committed to creating an inclusive environment where diverse perspectives are valued and every individual is treated with respect. We welcome applications from people of all backgrounds, including Aboriginal and Torres Strait Islander peoples, people with disabilities, people from culturally and linguistically diverse communities, and people of all gender identities and sexual orientations. If you require adjustments to the recruitment process or have accessibility requirements, please let us know – we’re here to support you
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Overview

Data Engineering and Analytics Specialist – Recruitment Consultant role for a non-for-profit industry body in Sydney (Hybrid).

About the Company: Join a highly respected non-for-profit organisation with over 100 years of history supporting communities and industries across Australia. The organisation is in an exciting growth phase and is investing heavily in its data and technology capabilities, offering the perfect platform to advance your career in analytics and engineering.

Base pay range

A$145,000.00/yr - A$65,000.00/yr

What’s on Offer

• Salary range: $1 5K – $1 5K + benefits
• Hybrid Working Model – Sydney CBD + Work from Home
• Additional leave entitlements beyond standard annual leave
• 16 Weeks Paid Parental Leave (primary carers) + Super on unpaid leave
• Early access to Long Service Leave after 5 years
• Continuous Learning, Development & Career Pathways

Key Skills & Experience

• Fixing data pipeline failures and troubleshooting data flow issues
• Data ingestion and pipeline creation on Azure (ADF, Azure SQL, Functions, Logic Apps, Cosmos DB)
• SQL Data Warehouse maintenance and optimisation
• Creating and managing Power BI dashboards, reports, and visualisations
• Skilled in Python and GIT for automation and version control
• Experience with ETL/ELT pipeline design across APIs, databases, and unstructured/cloud sources
• Understanding of data modelling, governance, and CI/CD automation

Ready to Take the Next Step?

If you’re interested in joining a forward-thinking non-for-profit making a genuine impact, please click Apply Now or send your CV to .

Alternatively, call Dan directly on .

Details

• Seniority level – Mid-Senior level
• Employment type – Full-time
• Job function – Information Technology and Analyst
• Industries – Technology, Information and Media, Data Infrastructure and Analytics, and Non-profit Organizations

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Overview

Grant Thornton Australia is looking for a Manager, Data Analytics to join our Financial Advisory team in Melbourne.

This is a strategic growth appointment: you will be the first on the ground in Melbourne, building local presence and capability to support a rapidly growing analytics team. You’ll work with internal stakeholders (deal teams, partners and other service lines) and external clients to translate business problems into actionable data / AI projects, deliver high‑quality solutions, and help shape our analytics footprint in Victoria.

This role suits an intellectually curious individual with a ‘data‑centric’ mindset: someone with strong critical thinking skills, who understands the power of asking the right questions, and can tailor their message to resonate with different audiences.

Key Responsibilities

• Act as the founding Melbourne team member for Data Analytics, building local relationships and pipeline to accelerate team growth
• Collaborate with internal teams and external clients to understand business requirements and translate them into scoped analytics projects with clear outcomes
• Identify data sources, gather relevant information, and perform data extraction, transformation and loading (ETL / ELT)
• Conduct exploratory data analysis (EDA) to uncover patterns, trends and anomalies that inform decision‑making
• Develop and maintain data models, dashboards and reports using tools such as Power BI, SQL, Python, Databricks and Alteryx
• Lead Agile delivery cadences (backlog, sprint planning, stand‑ups, reviews) and manage work in Azure DevOps (Boards, Repos, Pipelines), including code reviews and QA checks
• Provide actionable insights and recommendations based on data findings, and present clear narratives for both technical and non‑technical audiences
• Mentor and coach junior analysts as the Melbourne team scales, fostering a culture of quality, reuse and continuous improvement

Required skills and experience

• Significant experience as a Data Analyst or Analytics Consultant, preferably in a professional services environment, with comfort serving both internal stakeholders and external clients
• Strong technical skills in SQL and Python, with experience across Databricks / Spark and Power BI; familiarity with Alteryx (or similar) is a plus
• Demonstrated delivery leadership using Agile ways of working and Azure DevOps
• Excellent communication skills and the ability to collaborate effectively across diverse teams, adapting communication for technical and non‑technical stakeholders
• Proven ability to lead projects and mentor team members, setting clear standards and uplifting capability

Desirable

• Exposure to dbt, Microsoft Fabric / ADF, data product thinking, or analytics in a financial advisory / transactions context

Benefits & culture

• 9‑day fortnight with no salary reduction
• Funded professional membership and study assistance
• Up to 26 weeks’ paid parental leave | paid secondary carers’ leave
• Fully funded gym membership | Health Insurance discounts
• And many more

Diversity, equity & inclusion

Grant Thornton is committed to an inclusive recruitment process and welcomes applicants from diverse backgrounds including Aboriginal and/or Torres Strait Islanders, those in the LGBTQI+ community, and individuals who identify as having a disability or are neurodivergent. For recruitment support information and to learn about Diversity, Equity and Inclusion at Grant Thornton, please contact our Talent Acquisition team.

Application support

If you have questions or require adaptations to support your application or recruitment process, please contact our Talent Acquisition team.

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Overview

We are seeking a detail-oriented, strategic Data & Analytics Manager to join Perigon Group. This key role works closely with the Leadership Team to drive smarter decisions across the business. The role is within an established, innovative company in the industrial distribution/manufacturing space that values operational excellence, technology, and collaboration, where insights have real impact.

Responsibilities

• Manage master data within the ERP, including customer pricing, supplier pricing, category management, product content, and inventory.
• Lead data migration projects, ensuring a smooth transition from legacy systems into Epicor.
• Ensure ERP data is accurately connected to B2B website functionality.
• Design and implement a part number creation system at branch level to improve efficiency.
• Oversee BI reporting across sales and inventory using Power BI, Phocus, Grow, or similar tools.
• Partner with stakeholders from senior leaders to branch managers to share insights and provide recommendations that directly support business growth.
• Lead and develop a small data team, while collaborating with a strong ERP and pricing capability already in place.

About you

• Industry background in FMCG, manufacturing, wholesale, or distribution with exposure to large product ranges, pricing matrices, and inventory data.
• Highly analytical and detail-focused, with a clear strategic mindset.
• Confident communicator able to influence leaders and engage non-technical stakeholders.
• Hands-on experience with ERP systems (Epicor, D365, SAP, or similar), data governance, and business intelligence tools.
• Skilled in SQL, Power BI/Tableau, and comfortable working across databases and data platforms.
• Adaptable, proactive, and eager to make a difference.
• Previous leadership experience preferred, but open to someone ambitious and ready to step up.

What’s on offer

• The opportunity to shape ERP data strategy and drive change across the organisation.
• Exposure to high-impact projects, including upcoming branch migrations.
• Supportive team environment with strong ERP and data capability in place.
• A collaborative and innovative culture where your work contributes to business growth.

Job details

• Seniority level: Mid-Senior level
• Employment type: Full-time
• Job function: Information Technology
• Industries: Staffing and Recruiting

Note: Referrals increase your chances of interviewing. This listing includes location terms related to Sydney, New South Wales, Australia.

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Job Description

Marketing, Growth & Customer Focused | Fast-Growing Scale-Up
Sydney or Melbourne | Hybrid (2 days WFO, 3 days WFH) | Full-Time

Job Description
Data & Analytics Manager - Marketing, Growth & Customer Focused | Fast-Growing Scale-Up
Sydney or Melbourne | Hybrid (2 days WFO, 3 days WFH) | Full-Time
Up to $180k + super + excellent shares & benefits
Are you an experienced analytics leader who loves turning data into sharp insights that shape marketing, brand, and growth strategies? If so, we want to hear from you!
We’re partnering with a high-growth, purpose-led scale-up that’s redefining preventive health. With a strong omnichannel presence, a distinctive brand voice, and a loyal customer base, they’ve invested heavily in their modern data stack. Now, they’re looking for someone to help unlock the next level of growth by using data to ask better questions, run smarter experiments, and guide strategic decisions.
In this high-impact role, you’ll own the analytics roadmap and work closely with the CEO, marketing, growth, and product teams to drive brand measurement, campaign performance, and customer insights — helping the business understand not just what’s happening, but why, and what to do next
What You’ll Be Doing
You’ll lead a team of five (3x Data Analysts, 1x Data Engineer, 1x Analytics Engineer) while staying hands-on — executing a high-impact roadmap that includes:

• Partnering with marketing and product teams to uncover actionable insights across campaigns, acquisition performance, and experimentation strategy
• Designing and delivering models to measure brand impact (e.g. out-of-home, TV, social, digital) — including MMM, attribution, incrementality, and multivariate analysis
• Running experiments, defining statistical confidence, and guiding teams on how to test and learn effectively
• Translating grey or ambiguous analytics problems into structured approaches with measurable outcomes
• Acting as the bridge between the data team and business stakeholders — ensuring insights are accessible, trusted, and actionable
• Staying hands-on: writing SQL, using tools like dbt and Omni (or Tableau/Looker), and working closely with a strong data engineering team
  
  

What We’re Looking For

• Experience in D2C, retail, FMCG, or eCommerce environments — with a deep understanding of customer data, brand performance, and experimentation
• Background in marketing/growth/brand analytics or marketing science — ideally in product-led businesses
• Confident working with marketing and brand teams to uncover the "why" behind performance — and challenge assumptions where needed
• Strong skills in SQL, plus experience with R or Python, experimentation frameworks, and marketing metrics
• Familiarity with or experience building models such as MMM or MTA — or the ability to demonstrate a solid understanding of how to apply them
• Comfortable working across both business and technical teams, shifting between strategic thinking and hands-on execution
• Thrive in ambiguous environments — able to bring clarity, ask the right questions, and build structure where it doesn’t yet exist
  
  

Perks And Benefits

• Annual learning and development budget
• Up to 18 weeks paid parental leave top-up
• Work from anywhere for up to 8 weeks each year
• Hybrid-friendly (2 days in office) and pet-friendly offices
• Wellbeing and fitness tools/subscriptions included
  
  

Interested? Apply now or message Ailbhe on Linkedin if you’re keen to know more!

Seniority level

• Seniority level Mid-Senior level

Employment type

• Employment type Full-time

Job function

• Job function Research, Analyst, and Information Technology
• Industries Staffing and Recruiting

Referrals increase your chances of interviewing at The Onset by 2x

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Overview UNSW is a workplace where the best people come to do their best work. We aspire to be Australia’s global university, improving and transforming lives through excellence in research, outstanding education and a commitment to advancing a just society.
Why your role matters
The Director, Data Analytics defines and delivers UNSW’s enterprise-wide analytics strategy, driving advanced analytics, BI, and AI-enabled insights to support evidence-based decision making. Reporting to the Chief Data Officer, the role provides thought leadership, sets governance frameworks, and fosters a culture of data-driven decision making through strong cross-University collaboration and team leadership.
About the Role
The successful applicant will be required to undertake and have experience in the following areas of expertise:
Lead the development and delivery of an enterprise analytics strategy and roadmap aligned to UNSW’s Data strategy and priorities.
Establish and oversee the operating model for analytics within the EDO function, ensuring clarity of roles, minimisation of duplication, and effective coordination across the University.
Build and mature an enterprise-wide analytics service spanning business intelligence, reporting, advanced analytics, and AI/ML, underpinned by modern platforms, data models, and self-service capabilities.
Ensure analytics outputs are accessible, high-quality, and aligned with enterprise governance, data quality, security, regulatory, and ethical standards.
Lead and grow a high-performing multidisciplinary analytics team, fostering a culture of performance, innovation, continuous improvement, and data literacy. Champion communities of practice to strengthen collaboration and capability.
Oversee delivery of analytics programmes end-to-end, from business case through execution to benefit realisation ensuring effective prioritisation, financial management, and risk mitigation.
Demonstrate and communicate the value of analytics through clear performance metrics and transparent reporting to the CDO and executive committees.
Responsibilities and Requirements
About You
Relevant tertiary qualification with substantial relevant experience, or equivalent competence gained through any combination of education, training and experience.
Proven experience leading analytics strategy and delivery in a large, complex organisation, with the ability to align analytics services to strategic priorities.
Strong background in advanced analytics, reporting, data visualisation, and AI/ML, with demonstrated ability to translate emerging technologies into practical, value-driven solutions.
Solid understanding of data governance, quality, privacy, security, and architecture, ensuring analytics outputs are trusted, compliant, and sustainable.
Experience delivering enterprise-wide analytics programmes, from business case and planning through to execution, benefit realisation, and value measurement.
Exceptional ability to engage and influence senior executives, academics, and professional staff, simplifying complex concepts and building buy-in.
Demonstrated experience building and leading high-performing, multidisciplinary analytics teams, and fostering a culture of collaboration, innovation, and continuous improvement.
Experience representing analytics in senior governance forums, shaping decisions, and managing risks and dependencies across portfolios.
For further information on the role and responsibilities, please refer to the Position Description.
How to Apply
Submit your CV & cover letter detailing your interest and suitability for the job (as per the skills & experience bullet points in the Position Description) before Monday 6th October by 11:55pm. Sponsorship is not available for this role; valid Australian working rights are required on application.
UNSW Benefits and Culture
UNSW recognises it is the contributions of our staff that make UNSW one of the best universities in Australia and the world. Benefits include:
Flexible Working Options (work from home, flexible hours etc)
Additional 3 days leave during December festive period
Career development opportunities
Up to 50% discount on UNSW courses
Flexible 17% Superannuation contributions, additional leave-loading payments and salary sacrifice
Discounts and entitlements (retail, education, fitness)
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. We provide workplace adjustments for people with disability and flexible work options for eligible staff.
Notes
Seniority level: Director | Employment type: Full-time

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Overview

UNSW is a workplace where the best people come to do their best work. We aspire to be Australia’s global university, improving and transforming lives through excellence in research, outstanding education and a commitment to advancing a just society.

Why your role matters

The Director, Data Analytics defines and delivers UNSW’s enterprise-wide analytics strategy, driving advanced analytics, BI, and AI-enabled insights to support evidence-based decision making. Reporting to the Chief Data Officer, the role provides thought leadership, sets governance frameworks, and fosters a culture of data-driven decision making through strong cross-University collaboration and team leadership.

About the Role

The successful applicant will be required to undertake and have experience in the following areas of expertise:

• Lead the development and delivery of an enterprise analytics strategy and roadmap aligned to UNSW’s Data strategy and priorities.
• Establish and oversee the operating model for analytics within the EDO function, ensuring clarity of roles, minimisation of duplication, and effective coordination across the University.
• Build and mature an enterprise-wide analytics service spanning business intelligence, reporting, advanced analytics, and AI/ML, underpinned by modern platforms, data models, and self-service capabilities.
• Ensure analytics outputs are accessible, high-quality, and aligned with enterprise governance, data quality, security, regulatory, and ethical standards.
• Lead and grow a high-performing multidisciplinary analytics team, fostering a culture of performance, innovation, continuous improvement, and data literacy. Champion communities of practice to strengthen collaboration and capability.
• Oversee delivery of analytics programmes end-to-end, from business case through execution to benefit realisation ensuring effective prioritisation, financial management, and risk mitigation.
• Demonstrate and communicate the value of analytics through clear performance metrics and transparent reporting to the CDO and executive committees.

Responsibilities and Requirements

About You

• Relevant tertiary qualification with substantial relevant experience, or equivalent competence gained through any combination of education, training and experience.
• Proven experience leading analytics strategy and delivery in a large, complex organisation, with the ability to align analytics services to strategic priorities.
• Strong background in advanced analytics, reporting, data visualisation, and AI/ML, with demonstrated ability to translate emerging technologies into practical, value-driven solutions.
• Solid understanding of data governance, quality, privacy, security, and architecture, ensuring analytics outputs are trusted, compliant, and sustainable.
• Experience delivering enterprise-wide analytics programmes, from business case and planning through to execution, benefit realisation, and value measurement.
• Exceptional ability to engage and influence senior executives, academics, and professional staff, simplifying complex concepts and building buy-in.
• Demonstrated experience building and leading high-performing, multidisciplinary analytics teams, and fostering a culture of collaboration, innovation, and continuous improvement.
• Experience representing analytics in senior governance forums, shaping decisions, and managing risks and dependencies across portfolios.

For further information on the role and responsibilities, please refer to the Position Description.

How to Apply

Submit your CV & cover letter detailing your interest and suitability for the job (as per the skills & experience bullet points in the Position Description) before Monday 6th October by 11:55pm. Sponsorship is not available for this role; valid Australian working rights are required on application.

UNSW Benefits and Culture

UNSW recognises it is the contributions of our staff that make UNSW one of the best universities in Australia and the world. Benefits include:

• Flexible Working Options (work from home, flexible hours etc)
• Additional 3 days leave during December festive period
• Career development opportunities
• Up to 50% discount on UNSW courses
• Flexible 17% Superannuation contributions, additional leave-loading payments and salary sacrifice
• Discounts and entitlements (retail, education, fitness)

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. We provide workplace adjustments for people with disability and flexible work options for eligible staff.

Notes

Seniority level: Director | Employment type: Full-time

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Overview

Director, Data Analytics at UNSW. Lead enterprise analytics strategy and drive AI-enabled insights to support evidence-based decision making. Reporting to the Chief Data Officer, this role provides governance, leadership, and cross-University collaboration to foster a data-driven culture.

Responsibilities

• Lead the development and delivery of an enterprise analytics strategy and roadmap aligned to UNSW’s Data strategy and priorities.
• Establish and oversee the operating model for analytics within the EDO function, ensuring clarity of roles, minimisation of duplication, and effective coordination across the University.
• Build and mature an enterprise-wide analytics service spanning business intelligence, reporting, advanced analytics, and AI/ML, underpinned by modern platforms, data models, and self-service capabilities.
• Ensure analytics outputs are accessible, high-quality, and aligned with enterprise governance, data quality, security, regulatory, and ethical standards.
• Lead and grow a high-performing multidisciplinary analytics team, fostering a culture of performance, innovation, continuous improvement, and data literacy. Champion communities of practice to strengthen collaboration and capability.
• Oversee delivery of analytics programmes end-to-end, from business case through execution to benefit realisation ensuring effective prioritisation, financial management, and risk mitigation.
• Demonstrate and communicate the value of analytics through clear performance metrics and transparent reporting to the CDO and executive committees.

About You

• Relevant tertiary qualification with substantial relevant experience, or equivalent competence gained through any combination of education, training and experience.
• Proven experience leading analytics strategy and delivery in a large, complex organisation, with the ability to align analytics services to strategic priorities.
• Strong background in advanced analytics, reporting, data visualisation, and AI/ML, with demonstrated ability to translate emerging technologies into practical, value-driven solutions.
• Solid understanding of data governance, quality, privacy, security, and architecture, ensuring analytics outputs are trusted, compliant, and sustainable.
• Experience delivering enterprise-wide analytics programmes, from business case and planning through to execution, benefit realisation, and value measurement.
• Exceptional ability to engage and influence senior executives, academics, and professional staff, simplifying complex concepts and building buy-in.
• Demonstrated experience building and leading high-performing, multidisciplinary analytics teams, and fostering a culture of collaboration, innovation, and continuous improvement.
• Experience representing analytics in senior governance forums, shaping decisions, and managing risks and dependencies across portfolios.

Role Details

• Employment Type: Full-time, 12-month Fixed Term role.
• Location: Kensington, NSW (Hybrid working model)

How to Apply

Submit your CV & cover letter detailing your interest and suitability for the job (as per the skills & experience bullet points in the Position Description) before Monday 6th October by 11:55pm. Sponsorship is not available for this role; valid Australian working rights are required on application.

Benefits and Culture

• Flexible Working Options (work from home, flexible hours etc)
• Additional 3 days leave during December festive period
• Career development opportunities
• Up to 50% discount on UNSW courses
• Flexible 17% Superannuation contributions, additional leave-loading payments and salary sacrifice
• Discounts and entitlements (retail, education, fitness passport)

UNSW is committed to equity, diversity and inclusion. Applications from women, people of culturally and linguistically diverse backgrounds, those living with disabilities, LGBTIQ+ community members, and Aboriginal and Torres Strait Islander people are encouraged. UNSW provides workplace adjustments for people with disability, and access to flexible work options for eligible staff.

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