200428 Role Purpose Statements_v12MEL1

• ROLE PURPOSE STATEMENT Position Reports to

Senior Analyst, Data Analytics & AI Manager, Data Analytics & AI

Division Group #

Distribution Analytics Group 3

Purpose Capabilities, Experience & Qualification Requirements

• Partner with Business Stakeholders to understand use case requirements and to help identify opportunities to deliver business value and shape data and AI-enabled solutions

• Translate business requirements into functional specification documentation.

• Support the development and maintenance of dashboards and AI- driven analytics products that provide at-a-glance actionable insights.

• Identify and document business metrics, working to standardise data sources and definitions.

• Apply advanced analytics and machine learning techniques to derive insights, build predictive models, and enhance decision-making across the Personal Banking domain.

Essential capabilities

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

• Proficiency in programming languages such as SQL, Python, R, PySpark

• Ability to present data in a graphical or pictorial format based on requirements using NAB’s visualisation tools such as Excel, PowerPoint , and Power BI.

• Ability to convert data into information and communicate actionable insights to stakeholders.

• Understand financial services data and able to understand data models and relationships to compile reporting and metrics.

• Demonstrable experience in data pipeline design and build and understand how to deal with various data types and missing data.

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

• Excellent communication skills.

Experience • Over 3 years' experience as a business analyst in

complex business settings. • Proven ability to analyse data and present it in an

effective and meaningful manner • Track record of presenting insights and

influencing decision-making through evidence-

based analysis

Qualification Requirements

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

Key Decisions Key Accountabilities

Key Decisions:

• Designing data solutions for complex business problems. • Balancing complexity versus accuracy in insights and reports.

• Choosing the best data modelling, analytics approach based on stakeholder requirements.

• Presenting analysis to stakeholders.

• Strategically building on existing work to make them more efficient.

• The role is to provide key data science and analytical insights for the Personal Banking domain.

• The role will be responsible for the delivery of data solutions to the business problems arising out of PB.

• Key part of the role is the continued work with relevant business stakeholders to further Personal Bank’s product and channel strategies.

Key Stakeholder Groups Key Performance Indicators

• Business stakeholders from the respective domain.

• Internal leadership team and peers.

• Analytics teams across the enterprise.

• Enterprise Data & Analytics Leadership team.

• Proactively manage risk, meeting all policy and compliance requirements; perform controls; adhere to process and procedures pertinent to role; and escalate events, issues or breaches as they are identified (risk accountability forms part of all roles, as everyone is responsible for managing risk and compliance).

• # Models, Dashboards in production • Benefit realised by the business based on insights provided