Revenue Analytics Lead

SUMMARY:
Engineer to Analytics Lead: Pivot into Strategy. Background in Electrical Panel Building, Design or Industrial Automation.

POSITION INFO:
Role Summary We are seeking a junior engineer (approx. 2 years’ experience) ready to transition from field-based engineering into a strategic office role. This position will be the technical engine behind sales data, bridging product engineering with commercial strategy. The Revenue Analytics Lead leverages advanced analytics to drive revenue growth, enhance commercial effectiveness, and automate opportunity creation. 

Key Responsibilities

• Revenue Opportunity Analysis: Analyse customer, pricing, and commercial data to identify high-potential revenue streams and buying patterns.
• Strategic Sales Steering: Automate sales opportunity and task creation within CRM systems using technical data triggers.
• Marketing Performance Tracking: Monitor new product rollouts, track sales velocity, and measure ROI against marketing objectives.
• Technical Pricing & CPQ: Build and refine pricing models that reflect product complexity, driving higher win rates.
• Forecasting & Operations Planning: Collaborate with Product Leads to align sales demand with technical inventory requirements.
• Cross-Functional Strategy: Embed data-driven decision-making into commercial strategies, ensuring sales teams focus on the right applications.
• Commercial Insights: Present technical and commercial recommendations clearly to stakeholders, translating complex data into actionable business opportunities.

Essential Requirements

• Education: Bachelor’s Degree in Engineering (Electrical, Mechanical, or Mechatronics).
• Experience: ~2 years post-degree work experience in an industrial/technical environment.
• Aptitude: Strong interest in transitioning from engineering fieldwork into technical marketing and commercial strategy.
• Systems Literacy: Proven expertise with CRM, pricing, and forecasting platforms (ERP experience essential).
• Commercial Mindset: Ability to translate technical specifications into clear commercial value.
• Communication: Excellent stakeholder engagement skills, able to explain the “why” behind data-driven insights.

Beneficial Requirements

• Experience with CPQ systems and dynamic pricing models.
• Prior involvement in systems automation and advanced analytics deployment.
• Exposure to projects linking technical data directly to sales process improvement.