Consultant To Manager

Location: Canberra Contract Type: Permanent MinterEllison is one of Australia's largest independent law and consulting firms, bringing together 200 years of experience and market-leading legal and consulting expertise to deliver industry-informed, independent advice across strategy, regulation, risk, technology, and workforce.
We are not a traditional consultancy, nor an extension of a legal team.
As independent, highly specialised advisors, we bridge the gap between legal and consulting, helping clients navigate complexity with clarity, confidence, and sustainable momentum.
Our promise—"Creating Momentum Together: Decide, Protect, Evolve"—captures our collaborative, outcome-led approach.
We work where the stakes are highest, supporting clients in sectors defined by disruption, complexity, and public accountability.
Our clients are decision-makers responsible for steering institutions, managing risk, and achieving long-term, sustainable growth.
At MinterEllison you will join an integrated, high-performing team that values excellence, diversity of thought, curiosity, and inclusion.
We empower our people to achieve their ambitions—with the support, trust, and autonomy to grow their careers in meaningful ways.
Our ICT Commercial & Financial Analytics team is at the forefront of delivering data-driven insights, advanced statistical analysis, and ICT benchmarking to help clients make informed commercial and technology investment decisions.
You will have the opportunity to work on industry-leading mandates for top-tier clients, applying rigorous analytics and benchmarking methodologies to address real-world challenges.
More About You We are currently seeking professionals with expertise in statistical analysis, ICT benchmarking, data modelling, and performance measurement.
You will help clients make informed decisions by designing and executing benchmarking studies, applying advanced statistical techniques to large and complex datasets, and translating analytical findings into actionable insights that drive technology investment, operational efficiency, and strategic outcomes.
We encourage candidates seeking part-time employment to apply.
This position is based in our Canberra office with agile working arrangements available.
We welcome applications from Consultant to Manager level candidates who have demonstratable experience in the following areas: Applying advanced statistical analysis techniques—including hypothesis testing, regression analysis, and data sampling—using tools such as R, Python (with libraries like Pandas, NumPy, SciPy, and statsmodels), SPSS, SAS, and Minitab to ICT benchmarking and performance measurement projects Designing and executing ICT benchmarking studies, including the collection, validation, and interpretation of large datasets to compare organisational performance against industry standards, leveraging platforms such as Excel, Power BI, and Tableau for data management and visualisation Translating complex statistical findings and benchmarking results into actionable insights and clear recommendations for technology investment, operational improvement, and strategic decision-making.
Developing and utilising statistical data models, performing analysis and visualisation, and communicating insights to support ICT strategy and transformation.
Application of statistical and analytical techniques to evaluate ICT pricing structures, vendor performance, and commercial outcomes.
Familiarity with technology finance principles and pricing mechanisms, including cost modelling, value-for-money assessments, and benchmarking against industry standards Professional background For Consultant level: At least 2 years' experience, for Manager level; at least 5 years' Your background may include roles in consulting, technology suppliers, or internal advisory functions Skills To succeed in this role, you will bring a combination of technical capability, analytical rigour, and stakeholder engagement skills, including: Strong communication and time management skills, with the ability to present complex findings clearly to senior stakeholders High attention to detail and a structured approach to problem-solving Proficiency in handling and analysing large datasets using tools such as Excel (including Power Query), Python, and Python-in-Excel Advanced data visualisation skills using platforms such as Power BI and Tableau Experience applying statistical analysis methods—such as regression, correlation, and probability distributions—to ICT performance and pricing data Familiarity with industry frameworks and metrics used in ICT benchmarking studies Ability to translate analytical outputs into commercial insights that support strategic technology decisions and present the resultant outputs to key client stakeholders Understanding of the commonwealth government landscape (desirable) Qualifications Undergraduate degree, with one of the following disciplines: Statistics, Mathematics, Data Science, Analytics, or a related quantitative discipline is highly desirable.
Relevant certifications such as Certified Analytics Professional (CAP), Google Data Analytics Professional Certificate, ISACA certifications or Statistical Society of Australia Accreditation are desirable Must hold Australian Citizenship and be able to obtain an Australian Government Security Clearance.
How to apply We encourage applications from people of all ages, abilities, cultural backgrounds, genders (including trans or gender diverse), LGBTQ+ people and those with carer responsibilities.
We particularly encourage Aboriginal and Torres Strait Islander people to apply.
We prefer to connect with people directly, so please submit your CV by clicking on the 'Apply' button.
We encourage all applications, including if you do not meet all the criteria listed for the role.
Your application will also enable us to consider you for other opportunities that may be available at MinterEllison.
If you are currently a MinterEllison employee, please apply through the internal careers page.
If you would like further information, require any adjustments throughout the recruitment process or for a confidential discussion, please contact ***********************************.