Senior Consultant, Data Analytics, Healthcare

About the role

FTI Consulting is a global expert firm for organisations facing crisis and transformation, offering Data Analytics and AI-driven solutions. This Senior Consultant role works with the Federal Government and involves designing and delivering analytics solutions that turn data into actionable insights for clients. The pay range is $95,000 to $130,000, inclusive of superannuation.

Key responsibilities

• Design and deliver end-to-end analytics solutions, from problem framing and data acquisition through modelling, insight generation and executive storytelling.
• Support the development of cloud platforms using AWS and Azure.
• Acquire, synthesise and analyse data from multiple sources, and build robust data pipelines (SQL, Alteryx, Python, DataBricks, Data Factory, Redshift).
• Apply machine learning and statistical methods (regression, classification, clustering, forecasting, NLP) to real business problems.
• Develop advanced analytics and complex system models such as discrete event, agent-based, systems dynamics or optimisation models (e.g. AnyLogic).
• Use LLMs and generative AI in a business context for clients and your own work.
• Build dashboards that generate measurable business value and last beyond the engagement.
• Partner with client stakeholders to turn analytical outputs into clear recommendations.
• Contribute to business development by supporting proposals and the firm's analytics capabilities.

Required profile

• Australian citizenship, as the role works with the Federal Government.
• Ideally 8 months to 4 years of prior consulting experience, or a high performer moving from industry or government to consulting.
• Background in health, mining or retail (procurement, logistics, supply chain, operations) is valued.
• Ability to travel within the country and to work independently and in teams under tight deadlines.
• Minimum Bachelor's degree in a quantitative discipline (mathematics, statistics, computer science, engineering, physics, chemistry, analytics).

Required skills

• Python, R, SQL or Alteryx for data manipulation, cleansing and modelling.
• Power BI and Tableau.
• Cloud platforms (AWS, Azure, GCP, Snowflake, Databricks).
• AI tools, machine learning and LLMs.
• Simulation or optimisation modelling (desired but not required).