Description
At Lusha, we’re building for builders. We build fast and AI-first - so we look for builders.
By a builder, we mean someone who turns “maybe” into “done”.
We’re looking for a Senior Business Analyst who works at the intersection of growth, data, and strategy, and acts as a true partner to our Go-To-Market and Revenue teams. This role goes beyond reporting—it’s about understanding the drivers behind our business performance, shaping commercial strategy, and turning complex data into actionable growth levers.
You’ll be deeply embedded in how our business scales, from defining commercial success metrics and optimizing the sales funnel to influencing the company roadmap with clear, data-driven recommendations.
Hands-on experience using GenAI to accelerate business analysis, forecasting, insight generation, and decision-making processes is a must for this role.
This role is based in Tel Aviv. We work in a hybrid model, with 3 days a week in the office.
This might be for you if:
- You enjoy working closely with Sales, Marketing, Finance, and Operations leaders.
- You like answering complex questions about revenue drivers, customer acquisition, and market trends.
- You’re comfortable owning analyses end-to-end—from framing the business problem to measuring the impact.
- You thrive in fast-moving, iterative environments where agility is key.
- You actively leverage AI tools to improve analytical speed, forecasting quality, and insight depth.
- You care about outcomes, not just dashboards.
Requirements
- 4+ years of experience in Business Analytics, Revenue Operations, or Data Analytics, ideally in B2B SaaS or PLG environments.
- Strong SQL skills and experience working with large, complex datasets to drive business insights.
- Solid understanding of SaaS business metrics (CAC, LTV, Net Revenue Retention, Pipeline Velocity, Churn, etc.).
- Hands-on experience with experimentation, statistical analysis, and performance modeling.
- Proven experience using GenAI tools as part of your day-to-day analytical workflow.
- Strong communication skills and the ability to influence executive-level business decisions with data.
Nice to have:
- Experience with CRM and BI tools (Salesforce, HubSpot, Tableau, Looker) or data enrichment products.
- Background in financial modeling or market share analysis.
