Senior Data Insights Analyst

Job Description

The Senior Data Insights Analyst is a senior specialist role within BI & Analytics, providing a dedicated analytical partnership to Student Experience. The role leads the design and delivery of rigorous evaluations, advanced statistical analyses, and modeling that strengthen understanding of student equity, experience, engagement, success, retention, and completion.

Working closely with Student Experience leaders, evaluation specialists, program teams, and other University stakeholders, the role determines fit-for-purpose analytical approaches, evaluates the reach and effectiveness of student initiatives, and translates complex findings into clear, practical recommendations. The role applies BI & Analytics standards, governed institutional data, and reproducible analytical methods to build credible evidence about what is working, for whom, under what conditions, and where services or investment could be refined.

Key Responsibilities

• Lead the end-to-end analytical design and delivery of student equity and experience evaluations , from the development of evaluation questions and outcome measures through to statistical analysis, interpretation, reporting, and recommendations.

• Apply advanced statistical and analytical methods —using R, Python, SQL, or other appropriate tools—to analyze longitudinal, hierarchical, observational, and linked institutional data. Methods may include regression, survival and time-to-event analysis, multilevel and mixed-effects modeling, predictive modeling, quasi-experimental approaches, segmentation, and other techniques suited to the evaluation question and available data.

• Provide senior methodological advice on evaluation design, comparison groups, counterfactuals, sampling, statistical power, model selection, assumptions, missing data, clustering, bias, sensitivity analysis, and the appropriate interpretation of causal and non-causal findings.

• Evaluate the reach, implementation, outcomes, and impact of student initiatives , including whether programs are reaching intended cohorts, how outcomes vary between student groups, and how the timing, intensity, sequencing, or combination of supports may influence student outcomes.

• Use independent professional judgment to select and adapt analytical approaches for complex or previously undefined problems, clearly documenting limitations, uncertainty, evidence strength, and conditions affecting interpretation.

• Translate analytical findings into clear, decision-ready advice for Student Experience and senior University stakeholders, identifying implications for program design, targeting, coordination, investment, continuation, scaling, redesign, or further evaluation.

• Build robust and reproducible analytical workflows , including validated analysis-ready datasets, documented definitions and assumptions, reusable code, model diagnostics, quality-assurance checks, and transparent methods that enable findings to be reviewed, repeated, and updated.

• Partner with Student Experience teams and subject-matter experts to strengthen program logic, evaluation plans, data-collection practices, outcome definitions, and minimum data standards so that initiatives are designed and delivered in ways that support meaningful evaluation.

• Work with BI & Analytics colleagues to ensure analyses use governed institutional data and consistent definitions , and contribute specialist advice to the development and quality assurance of equity measures, analytical datasets, models, and evaluation standards.

• Develop dashboards, visualizations, monitoring products, and recurring reports where these support evaluation, communicate findings, or enable ongoing tracking of student outcomes. Dashboarding and routine reporting are supporting capabilities of the role rather than its primary purpose.

• Undertake targeted research and evidence synthesis to identify emerging analytical methods, sector practices, policy expectations, and external evidence relevant to student equity and experience, and assess their implications for Griffith.

• Provide technical leadership, peer review, coaching, and mentoring to analysts and project colleagues in statistical practice, evaluation methods, reproducible analysis, quality assurance, and the communication of complex findings, without formal people-management responsibility.

• Contribute to continuous improvement of University analytical practice by developing reusable methods, templates, guidance, and evaluation approaches that increase analytical rigor, consistency, efficiency, and institutional capability.

• Operate in accordance with University requirements for privacy, ethics, security, responsible data use, and analytical integrity , exercising particular care when working with sensitive student and equity data.

About you

to be successful in this role it is essential that you have the below skillset;

• 5+ years of professional experience in data analysis, business intelligence, or related analytical roles
• Advanced proficiency in SQL for querying, manipulating, and managing large datasets
• Demonstrated expertise with at least one BI visualization tool (Tableau, Power BI, Looker, or equivalent)
• Strong statistical analysis and data modeling capabilities
• Proficiency in at least one programming language (Python, R, or similar) for data manipulation and analysis
• Excellent communication and presentation skills with the ability to translate complex data into clear, actionable insights
• Strong organisational and project management skills with the ability to manage multiple priorities
• Experience working with stakeholders across different business functions
• Knowledge and understanding of Equity based government policies

desirable skillset;

• Experience with cloud-based data platforms (Azure)
• Knowledge of advanced analytics techniques including machine learning and predictive modelling
• Familiarity with data governance and data quality frameworks
• Experience in Higher Education or Government industry
• Relevant certifications such as Google Analytics Certification, Tableau Desktop Specialist, or Microsoft Certified Data Analyst
• Experience with version control systems and collaborative development environments

What we can offer

This is a full time, fixed term opportunity for 3 years based Brisbane South (Nathan) campus. As Griffith is a multi-site university, you may be required to work across other locations.

Griffith University’s sites are located on the lands of the Yugarabul, Yuggera, Jagera, Turrbal, Yugambeh and Kombumerri peoples.

Salary

HEW 8 – Base range - $117,579.27 - $132,273.33 + 17% superannuation. Full package range - $137,567.74 - $154,759.79.

Additional Information

Why join Griffith?

As a values-led organisation, at Griffith University, we've worked hard to create a dynamic and strong organisational culture. We offer:

• Wide range of Learning and Development opportunities
• Mix of on campus and work from home options available and a supportive work environment
• Salary packaging options and corporate health discounts
• Generous leave entitlements including paid parental leave and leave loading
• Support with future learning opportunities through our educational staff assistance scheme
• Opportunities for internal mobility
• Health Safety and Wellbeing initiatives – on campus Gym facilities

At Griffith, we’re committed to providing a safe and inclusive environment for all - whoever you are and wherever you’re from. If you require any accommodations, we welcome you to let us know so we can work with you to participate fully in our recruitment experience.

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