Revenue Ops Analyst: Data-Driven Growth

Apparate; Sydney; Hybrid; AUD 80,000 - 110,000; Full time

Benefits offered by this job

Tool certifications

Career growth

Cross-functional exposure

Health benefits

Learning budget

Job summary

Apparate is seeking a Revenue Operations professional in Sydney to optimize sales processes and deliver data-driven insights to leadership. You will build reports, manage the sales tech stack, and collaborate across sales, marketing, and customer success.

The role emphasizes dashboards, pipeline analysis, CRM administration (Salesforce preferred), and enabling the sales team with training and documentation. A hands-on, detail-oriented mindset and cross-functional collaboration are essential.

Qualifications

• 2+ years of sales or revenue operations experience.
• Strong analytical and Excel/SQL skills.
• CRM administration experience (Salesforce preferred).
• Understanding of sales processes and metrics.
• Attention to detail and process orientation.
• Project management capabilities.
• Ability to work cross-functionally.

Responsibilities

• Build and maintain sales dashboards and reports.
• Analyze pipeline and forecast data.
• Administer and optimize CRM and sales tools.
• Support territory and quota planning.
• Identify process improvements and efficiency gains.
• Enable sales team with training and documentation.
• Manage data hygiene and integrity.

Skills

Analytical thinking

Excel

SQL

CRM administration

Attention to detail

Project management

Cross-functional collaboration

Tools

Salesforce

Tableau

Looker

Job description

Apparate is seeking a Revenue Operations professional in Sydney to optimize sales processes and deliver data-driven insights to leadership. You will build reports, manage the sales tech stack, and collaborate across sales, marketing, and customer success.

The role emphasizes dashboards, pipeline analysis, CRM administration (Salesforce preferred), and enabling the sales team with training and documentation. A hands-on, detail-oriented mindset and cross-functional collaboration are essential.