Graduate/Analyst - Data Analytics and Financial Modelling

ModaX Consulting; Adelaide; On-site; AUD 55,000 - 75,000; Full time

Job summary

ModaX Consulting in Adelaide is seeking a highly motivated graduate or analyst to join our data analytics and modelling practice, delivering high-impact analytics and modelling solutions that support policy and commercial decision-making.

You will receive mentoring from experienced professionals, play a key role across client delivery and business growth, and have the opportunity to shape how we build and scale our capabilities.

Qualifications

• Strong quantitative background (e.g. actuarial science, data science, mathematics, statistics, physics, computer science, finance, engineering or similar).
• Australian citizenship or right to work to obtain security clearance.
• Familiarity with at least one programming language (Python, SQL or SAS) and motivation to build technical skills.

Responsibilities

• Support the delivery of high-quality analytics and modelling solutions across a range of projects.
• Apply quantitative and analytical skills to solve public policy or business problems.
• Contribute to the preparation of business proposals and client deliverables.
• Assist in improving internal delivery processes, templates, and methodologies.

Skills

Quantitative background

Team player

Willing to learn

Tools

Python

SQL

SAS

Job description

We are seeking a highly motivated graduate or analyst to join our growing practice. This Adelaide-based role offers the opportunity to work closely with senior stakeholders across industry and government, delivering high-impact analytics and modelling solutions that support policy and commercial decision-making.

You will receive mentoring from experienced professionals and play a key role across both client delivery and business growth, with the opportunity to shape how we build and scale our capabilities.

About Us

We are a specialist data analytics and modelling, helping organisations make better decisions through robust, transparent, and actionable insights.

We combine deep technical expertise with strong commercial understanding, enabling us to tackle complex problems and deliver solutions that are not only technically sound, but also practical and decision-ready. Our approach is highly collaborative—we work closely with clients to ensure outcomes are aligned, sustainable, and fit for purpose.

Learn more at modax.com.au

Key Responsibilities

• Support the delivery of high-quality analytics and modelling solutions across a range of projects
• Apply quantitative and analytical skills to solve complex public policy or business problems
• Contribute to the preparation of business proposals
• Support the continuous improvement of internal delivery processes, templates, and methodologies to enhance efficiency, quality, and consistency.

About You

• A strong quantitative background (e.g. actuarial science, data science, mathematics, statistics, physics, computer science, finance, engineering or similar)
• Australian citizenship to obtain security clearance
• Working knowledge of at least one programming language, such as Python, SQL or SAS, with a strong interest in further developing programming and technical skills
• Strong work ethic, proactive and a team player with a willingness to learn
• Willing to work on-site at client locations as required.

Desirable Experience for the Analyst Role

• 1-2 years’ experience;
• Previous experience working on analytics projects or in a data analytics-related role; and/or
• Financial modelling experience or strong Excel skills.

Why Join Us

• Accelerated career progression based on performance and team contribution not tenure
• Be part of a values-driven, flat-structured team where your opinions are valued
• Work directly with senior stakeholders on high-impact, real-world problems
• Opportunity to take ownership and shape both client outcomes and internal capability
• Flexible working arrangements
• A collaborative, high-trust environment with strong focus on quality and professional growth.