Senior Data Business Analyst — Finance Transformation

Tasmania; Sydney; Híbrido; AUD 110.000 - 140.000; Jornada completa

Ventajas ofrecidas por este puesto de trabajo

Wellbeing leave day

Service bonus leave days

Parental leave (up to 20 weeks)

Transition leave

Volunteer leave

Gender affirmation leave

Employee Assistance Program

Salary packaging options

Learning and development support

Hybrid/flexible working

Home office equipment reimbursement

Descripción de la vacante

Macquarie Group is seeking a Data Business Analyst to drive finance transformation initiatives in a hybrid analyst role. You will partner with SMEs, stakeholders, architects and technology teams to translate business outcomes into data requirements and governance standards.

You will map end-to-end data flows, define source-to-target mappings, data models and data quality rules, and support delivery planning with solution and data governance colleagues.

Formación

• Experience as a Data Business Analyst or Business Analyst on large data/finance transformation projects.
• Strong track record delivering end-to-end data flows, including data requirements and data quality controls.
• Ability to partner with Finance, Tax, Treasury, Risk, Data and Technology stakeholders.
• Translate business events into clear data requirements and governance artefacts.

Responsabilidades

• Define how data should be captured, structured, used and governed for downstream reporting.
• Align business needs with data architecture and reporting outcomes.
• Collaborate with Solution and Business Architects through design and delivery planning.
• Establish data lineage and ensure traceability in line with Data Governance.

Conocimientos

Data analysis

Stakeholder engagement

Data modelling

Data governance

Cross-functional collaboration

Descripción del empleo

Macquarie Group is seeking a Data Business Analyst to drive finance transformation initiatives in a hybrid analyst role. You will partner with SMEs, stakeholders, architects and technology teams to translate business outcomes into data requirements and governance standards.

You will map end-to-end data flows, define source-to-target mappings, data models and data quality rules, and support delivery planning with solution and data governance colleagues.