Revenue Analyst

6 hours ago

Sydney, Australia Education Perfect Full time

The Sales Revenue Analyst will be responsible for conducting detailed analysis of sales data, identifying trends, and providing actionable insights to optimise revenue generation and drive sales growth.
- Gather, analyse, and interpret large datasets related to revenue streams, pricing models, customer behaviour, and market trends. Utilise advanced data analysis techniques to identify patterns, correlations, and trends that impact revenue performance.
- Derive meaningful and actionable insights from revenue data analysis. Collaborate with cross-functional teams, such as sales, marketing, and finance, to identify revenue optimisation opportunities, pricing strategies, and customer segmentation insights.
- Develop and maintain reporting frameworks that deliver monthly and quarterly insights into revenue performance metrics, key performance indicators (KPIs), and benchmarks.
- Create visually compelling and informative reports, dashboards, and presentations to communicate revenue-related insights and performance trends to stakeholders across the organisation.
- Collaborate with the finance team to contribute revenue insights for forecasting and budgeting processes. Analyse historical revenue data, market trends, and other factors to provide inputs for accurate revenue forecasting and budget planning.
- Assist in the development of sales incentives that drive the right behaviour and calculate ongoing sales commissions.
- Evaluate pricing strategies, and discount programs to ensure alignment with revenue goals and profitability targets.
- Stay updated on industry trends, competitive landscape, and market conditions to proactively identify potential risks or opportunities for the business.

**Requirements**:

- Strong analytical and quantitative skills, with proficiency in statistical analysis and data manipulation.
- Advanced proficiency in spreadsheet software (e.g., Microsoft Excel, Google Sheets) and data visualisation tools (e.g., Tableau, Power BI).
- Familiarity with CRM systems and Financial Software.
- Excellent communication and presentation skills, with the ability to convey complex data in a clear and concise manner.
- Strong business acumen and understanding of sales processes and revenue drivers.
- Detail-oriented with the ability to work independently and manage multiple projects simultaneously.
- Proactive and results-driven mindset, with the ability to think strategically and provide actionable insights.

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