What are the responsibilities and job description for the Senior Sales Operations Analyst position at Zearch?
On behalf of our client – a high-growth, Private Equity-backed SaaS and data intelligence business – we’re looking to appoint a commercially-minded Senior Sales Operations Analyst. This is a pivotal role designed to strengthen the company’s go-to-market performance by enabling data-driven decision-making, process optimisation, and operational excellence across the sales organisation.
This role is ideal for someone who thrives in fast-paced, high-performance environments, enjoys working cross-functionally, and has a passion for turning data into actionable insights that drive revenue growth.
Key Responsibilities:
• Sales Performance Analytics: Deliver clear, insightful reporting on sales KPIs, pipeline performance, forecast accuracy, and GTM trends across regions and teams.
• Process Improvement: Identify and drive improvements in sales processes, workflows, and tools to support scale and efficiency.
• CRM & Systems Management: Support day-to-day management and optimisation of Salesforce and other sales enablement tools (e.g., Gong, Outreach, HubSpot).
• Revenue Forecasting: Assist leadership with monthly, quarterly, and annual sales forecasting processes using historical data, rep inputs, and trend analysis.
• Incentive & Commission Support: Work closely with finance and HR to help administer and model compensation plans and performance metrics.
• Stakeholder Engagement: Partner with Sales, Marketing, Customer Success, and Finance to ensure alignment of GTM strategy with execution.
• Ad-Hoc Projects: Lead or support strategic projects such as territory planning, market segmentation, sales coverage modelling, and deal desk initiatives.
Candidate Profile:
• Experience: 2–5 years in a sales operations, sales analyst, commercial analytics, or revenue operations role – ideally within a SaaS or recurring revenue or Data Insights.
• Tools: Strong proficiency with Salesforce (Sales Cloud) essential; additional tools like Tableau, Looker, HubSpot, Gong, Clari, or Excel/Google Sheets a plus.
• Commercial Acumen: Ability to interpret data in a commercial context and communicate insights effectively to non-technical stakeholders.
• Analytical Mindset: Highly numerate, detail-oriented, and comfortable working with complex datasets to drive actionable outcomes.
• Initiative: Proactive, self-motivated, and comfortable working in a scaling, ambiguous environment where priorities can shift quickly.
• Cultural Fit: A team player with a strong work ethic, positive energy, and a growth mindset. Experience in a PE-backed or high-growth setting preferred.
