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Revenue Assurance Analyst

Mid levelFull-timeHybrid133 Queens Parade, Clifton Hill VIC 3068, AustraliaFinanceStrategy and analysisPosted 3 days agoVerified 4 days ago
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About the job

Join the journey towards a sustainable future as a Revenue Assurance Analyst with the Governance & Assurance team. This job is crucial for detecting, preventing, and resolving commercial leakage, ensuring the financial health of the company. Collaborate with a passionate team that values inclusivity, respect, and continuous learning while making a positive impact on Australian lives.

You'll be responsible for

💰

Profit Integrity and Revenue Assurance

Detect, prevent and help resolve profit leakage across Customer Market Operations processes. Identify profit optimisation opportunities through stronger controls and analytical review, and promote accountability for revenue and margin outcomes.
🔒

Revenue Assurance Processes and Controls

Support the design and embedding of end-to-end Revenue Assurance processes and internal controls across Customer Market Operations value chains to strengthen revenue protection and margin assurance.
⚠️

Risk and Issue Management

Help identify, assess and manage risks and issues affecting Customer Market Operations. Support the Revenue Assurance Lead in maintaining the Customer Market Operations Risk Framework, and ensure risks, issues and control weaknesses are escalated and managed in line with governance expectations.

Key criteria

📊

Revenue assurance experience

2+ years in revenue assurance or audit roles.

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💻

Data analysis skills

Proven experience using SQL, SAP HANA, and Power BI.

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🤝

Stakeholder engagement

Demonstrated ability to communicate and manage stakeholders effectively.

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Meet the team

About the company

View your fit

5 criteria for this job
Revenue assurance experience
2+ years in revenue assurance or audit roles.

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Data analysis skills
Proven experience using SQL, SAP HANA, and Power BI.

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Stakeholder engagement
Demonstrated ability to communicate and manage stakeholders effectively.

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Risk management knowledge
Experience identifying and managing risks in operations.

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AI tool proficiency
Confident use of AI tools for enhanced analytical insights.

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