Senior Analytics Engineer (Visualization & AI Tools) at Nuix
Sydney NSW 2000, , Australia -
Full Time


Start Date

Immediate

Expiry Date

20 Nov, 25

Salary

0.0

Posted On

20 Aug, 25

Experience

0 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

No

Skills

Power Bi, Nuix, Platforms, Business Requirements, User Experience Design, Data Systems, Data Visualization

Industry

Information Technology/IT

Description

DESCRIPTION

We’re on a mission to be a Force For Good, through our People, Products and Purpose at Nuix.
This extends to our People. We’re fiercely passionate, love working at pace, thrive in ambiguity, live, and breathe outside of the box, and above all are good humans. We’re determined to make a positive difference in the world, whether through our solutions which help the top companies, governments and agencies find the truth and combat illegal activities, or through our people who care about contributing and giving back both within, and outside, of Nuix. We are a Force For Good.
We’re selective about who comes on board, and you should be too. But if the above sounds like a match, get in touch today and get ready for the possibility of starting a once-in-a-career journey.

REQUIRED SKILLS AND EXPERTISE:

  • Strong SQL skills and experience with analytics engineering practices
  • Proficiency in BI tools (Power BI, QuickSight) including advanced dashboard development
  • Experience with AI/ML platforms, particularly AWS Bedrock, AWS-Q, Claude, or similar LLM services
  • Web development skills (Python/JavaScript) for building custom data and ai-enabled applications
  • Knowledge of data visualization best practices and user experience design
  • Experience with business data systems such as 360-degree customer views, financial analytics, service reporting and beyond.
  • Understanding of statistical analysis and ability to translate business requirements into technical solutions

ABOUT US:

Nuix is on an incredible journey of transformation, aligning our strengths with our ambitions to pursue greater opportunities. To find out more about who we are and what we are doing, please visit our web page.
https://www.nuix.com/
As we expand our global team and extend our skills and expertise, we are unified as one Nuix team guided by our shared values.

Responsibilities

ABOUT THIS ROLE:

The Senior Analytics Engineer will combine BI expertise, AI/ML integration skills, and strong SQL/data modelling capabilities to create powerful dashboards, interactive applications, and analytics solutions. This role bridges business needs with technical execution, ensuring analytics are accurate, engaging, and AI-ready.

PURPOSE:

Design and deliver advanced analytics, BI, and AI-enabled solutions that turn complex data into intuitive visualizations and actionable insights, empowering business decisions across the enterprise.

To support AI and data enablement, Nuix are building an internal Data, Analytics and AI team. This team will have the following responsibilities:

  • Design, build and operate our enterprise data platform
  • Design, build and operate integration for current and new data sources
  • Design data cleaning / governance / compliance tooling, standards and processes
  • Enable decision making with Data & Analytics capability through visualisations and tools
  • Enable team productivity with AI and data enabled tooling such as Customer-360, financial planning and beyond

KEY RESPONSIBILITIES

  • Build advanced dashboards in Power BI, QuickSight, and other BI tools
  • Apply visualization best practices for clear, impactful user experiences
  • Develop scalable SQL-based data models to support analytics
  • Embed AI capabilities from AWS Bedrock, AWS-Q, Claude, or similar LLM platforms into analytics products
  • Collaborate with AI engineers to integrate predictive and generative insights
  • Use Python/JavaScript to build custom analytics and AI-enabled applications
  • Create interactive tools for self-service analytics and predictive modeling
  • Deliver analytics for customer 360, financial, service, and operational reporting
  • Apply statistical techniques to uncover trends and provide actionable recommendations
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