Senior Healthcare Data Analytics Consultant

Consulting, Inc.; Sydney; On-site; AUD 110,000 - 160,000; Full time

Job summary

FTI Consulting is seeking a data analytics professional to design and deliver end-to-end analytics solutions across industries. You will support cloud platform development on AWS and Azure, build robust data pipelines, and apply ML or statistical methods to real business problems.

You will work with clients to translate insights into actionable recommendations and contribute to thought leadership and proposals.

Qualifications

• Australian citizenship required.
• 8 months - 4 years of prior consulting experience.
• Experience in procurement, logistics and supply chain.
• Ability to communicate technical findings to non-technical audiences.
• Experience in project environments with flexible task priorities.

Responsibilities

• Design and deliver end-to-end analytics solutions for clients across multiple industries.
• Support the development of cloud platforms using AWS and Azure.
• Identify, acquire, synthesize, and analyse relevant data and organize it for analysis.
• Develop robust data pipelines using SQL, Alteryx, Python, Databricks, Data Factory and Redshift.
• Apply machine learning or statistical methods to real business problems.
• Develop advanced analytics and complex system models (e.g., AnyLogic).
• Understand how to leverage LLMs and generative AI in a business context.
• Develop dashboards that generate measurable business value and are built to last beyond engagements.
• Partner with client stakeholders to translate complex outputs into actionable recommendations.
• Contribute to business development by supporting proposals and thought leadership.

Skills

Data analytics

Communication

Teamwork

Problem solving

Travel ability

Tools

SQL

Alteryx

Python

Databricks

Data Factory

Redshift

Job description

FTI Consulting is seeking a data analytics professional to design and deliver end-to-end analytics solutions across industries. You will support cloud platform development on AWS and Azure, build robust data pipelines, and apply ML or statistical methods to real business problems.

You will work with clients to translate insights into actionable recommendations and contribute to thought leadership and proposals.