Data & Analytics Technical BA: AI-Enabled & Regulated

MetLife, Inc.; Sydney; Hybrid; AUD 100,000 - 150,000; Full time

Benefits offered by this job

Flexible working arrangements

Job summary

MetLife Australia is seeking a Technical Business Analyst to connect business, data and technology teams for data platforms, products and reporting solutions in Sydney. You will translate stakeholder needs into clear requirements, manage backlogs and ensure traceability from business needs to delivered outcomes.

You will work with architecture, engineering, testing and business teams to support reliable data flows, data quality, reporting and change readiness in a regulated environment, with

Qualifications

• Bachelor’s degree or equivalent practical experience in Business Analysis, Information Systems, Data, Technology, Computer Science, Commerce or a related discipline.
• Proven experience as a Technical Business Analyst, ideally supporting data, analytics, reporting, technology platforms or financial services technology.
• Strong understanding of data, reporting, analytics and business intelligence concepts.
• Experience eliciting, documenting and managing business, functional, non-functional and data requirements across Agile and waterfall delivery environments.
• Demonstrated ability to produce high-quality user stories, acceptance criteria, process maps, data mapping artefacts, requirements traceability matrices and delivery documentation.
• Strong SQL knowledge and data analysis capability to support requirements validation, issue investigation and the delivery of data and reporting products.

Responsibilities

• Partner with business product owners, Data & Analytics leaders, architects, engineers, testing teams and business stakeholders to understand business needs, delivery priorities, data impacts and success measures.
• Lead and support requirements elicitation for strategic data, analytics, reporting and platform initiatives that advance MetLife Australia’s Data Foundations and broader digital objectives.
• Translate business and technical needs into clear user stories, use cases, functional and non-functional requirements, process maps, data mapping artefacts, acceptance criteria and definitions of ready and done.
• Facilitate workshops, interviews and documentation reviews to identify stated and unstated requirements, business processes, data impacts, reporting needs, dependencies and acceptance criteria.
• Manage and prioritise delivery backlogs, maintaining traceability between business outcomes, requirements, user stories, testing evidence and delivered functionality.
• Assess the impact of changes on data and reporting products, considering downstream dependencies, data quality, metadata, lineage and access requirements.
• Partner with engineering, architecture, quality assurance and business stakeholders to define user acceptance testing requirements and support UAT planning, execution, defect resolution, retesting and acceptance.
• Maintain accurate, current and version-controlled requirements, process, technical and data product documentation across agreed systems and repositories.
• Support production data flows, reporting products and platform processes by triaging business queries, clarifying requirements, raising defects and coordinating resolution across internal teams, vendors and technology partners.
• Support production readiness by ensuring operational documentation, support procedures, known issues, service impacts and business communications are prepared before implementation.
• Identify and escalate delivery risks, data risks, control gaps, defects, dependencies and unresolved decisions, providing clear options and recommended next steps.
• Contribute to data governance, data quality, metadata, privacy, information security and risk initiatives, ensuring delivery artefacts support auditability, traceability and regulatory compliance.
• Use approved AI and automation tools, including Microsoft Copilot where appropriate, to improve the efficiency and quality of requirements analysis, documentation, meeting summaries, process mapping and knowledge management.
• Identify opportunities to reduce manual effort and strengthen delivery quality through automation, reusable artefacts, templates and improved ways of working.
• Model responsible AI use by maintaining transparency, appropriate data handling, human oversight and alignment with organisational AI, data and security policies.

Skills

SQL

Data modelling

BI concepts

Stakeholder engagement

Requirements elicitation

Agile & Waterfall

Education

Bachelor's degree or equivalent

Tools

Snowflake

Tableau

Azure DevOps

Job description

MetLife Australia is seeking a Technical Business Analyst to connect business, data and technology teams for data platforms, products and reporting solutions in Sydney. You will translate stakeholder needs into clear requirements, manage backlogs and ensure traceability from business needs to delivered outcomes.

You will work with architecture, engineering, testing and business teams to support reliable data flows, data quality, reporting and change readiness in a regulated environment, with