Job title: Analyst, Data Analytics & Insights - 806430
Job type: Contract, Professional Services
Emp type: Full-time
Industry: Banking
Skills: Data Analytics Machine Learning Personal Banking
Pay interval: Daily
Pay rate: AUD $982.14
Location: Melbourne, VIC
Job published: 12-03-2026
Job ID: 37859
Contact name: Cameron Sanders
Phone number: +61412101617
Contact email: cameron@idic.com.au

Job Description

  • Defined Skillset / Level: Data Analyst / Data Science / Business Analyst

  • Years of Experience: 3+ years

  • FTE: 1 

  • Security Clearance: N/A

  • Working Arrangement (Remote, Onsite, Hybrid): Hybrid

  • iDiC Client Name: NAB

  • Rate Information: Fixed rates - Figure above is the Candidates daily rate ex Super. Contact Talent@idic.com.au for rate breakdown 

  • Exclusivity: N/A

  • Additional Notes: 7 month engagement

  • Onboarding Requirements: ID, Working Rights & 2 Completed Reference Checks required at Offer Stage.

  • Permission to Represent (PTR): Please upload a signed PTR, including the role title to the Cover page section after clicking "apply"

POSITION OVERVIEW

This role partners with business stakeholders to understand requirements and identify opportunities to deliver value through data and AI-enabled solutions. The position translates business needs into functional specifications, develops dashboards and AI-driven analytics products, and applies advanced analytics and machine learning to support decision-making within the Personal Banking domain. The role is focused on delivering actionable insights and shaping data solutions that influence business strategy.

ABOUT THE CLIENT

The client is NAB, a leading Australian financial services organisation, specialising in personal and business banking. The organisation has a strong focus on leveraging data analytics and AI to drive business value and improve decision-making.

KEY RESPONSIBILITIES

  • Partner with business stakeholders to understand use cases and identify opportunities for data-driven solutions.

  • Translate business requirements into functional specifications and documentation.

  • Develop and maintain dashboards and AI-driven analytics products providing actionable insights.

  • Identify and document business metrics, standardising data sources and definitions.

  • Apply advanced analytics and machine learning techniques to derive insights and build predictive models.

  • Support the delivery of data solutions addressing Personal Banking business problems.

  • Present analysis to stakeholders and influence decision-making through evidence-based insights.

  • Collaborate with analytics teams and leadership across the enterprise.

  • Ensure compliance with risk management and organisational policies.

ESSENTIAL REQUIREMENTS

  • Strong analytical and problem-solving skills, with the ability to translate complex data into actionable insights.

  • Proficiency in SQL, Python, R, and PySpark.

  • Experience with data visualisation tools including Excel, PowerPoint, and Power BI.

  • Ability to understand financial services data, data models, and reporting metrics.

  • Experience in data pipeline design, handling various data types, and managing missing data.

  • Attention to detail, self-management, and strong problem-solving capabilities.

  • Excellent communication skills.

  • Over 3 years' experience as a business analyst in complex business settings.

  • Proven ability to analyse data and present it effectively to influence decision-making.

  • Bachelor degree in business, data analytics, computer science, statistics, or related discipline.

DESIRABLE SKILLS

  • Experience presenting insights to senior stakeholders.

  • Familiarity with personal banking domain and related product/channel strategies.

  • Experience strategically improving and optimising existing analytics work.

  • Ability to proactively manage risk and compliance within analytics projects.