Job Description

About Port

Port is the Agentic SDLC Platform. The way engineering teams build software is constantly evolving, and every new wave - such as AI agents operating across the SDLC- makes engineering more powerful, but also more complex and chaotic.

Port turns that chaos into control: one platform to build, govern, and operate the software development lifecycle, enabling every team to move as fast as technology allows.

Following our $100M Series C funding round, we are entering an exciting stage of significant growth and global expansion. As a product-led company, we believe the recipe for success is a world-class product that speaks for itself.

About the Role

We’re hiring a Sales Analyst who will own the analytical foundation of our sales organization. You’ll sit with our leadership team in Israel, ensure the integrity of our sales data, and deliver insights that shape revenue strategy and execution.

You’ll split your time between two responsibilities: data ownership, maintaining CRM and data warehouse accuracy, and strategic analysis, building insights that drive decisions at the leadership level.

This role requires someone who genuinely understands how sales works and lives and breathes the business.

Your Day-to-Day

Data Quality & CRM Hygiene

• Own ongoing CRM data integrity: pipeline stages, deal fields, forecast accuracy, field completeness
• Proactively monitor data quality and flag inconsistencies before they break forecasts or reports
• Understand the “why” behind data issues, not just fixing them, but preventing them

Analysis & Strategic Insights

• Analyze pipeline health, bookings, revenue, and funnel performance across segments and reps
• Identify trends, anomalies, and risks before they become problems
• Build and maintain analytical models for forecasting, performance tracking, and deal-level analysis
• Work hands-on with spreadsheets, SQL, BI tools, and data warehouses to transform raw data into narratives
• Present analysis to leadership and the CRO, both prepared reports and thinking on your feet in live discussions
• Collaborate with Finance and RevOps on planning cycles, QBRs, and strategic initiatives

Requirements

Experience & Background

• 3-5 years in sales analytics or revenue operations, ideally at a smaller SaaS company where you wore multiple hats
• Deep understanding of sales funnels, pipeline mechanics, and forecasting; comfortable identifying risks and opportunities proactively
• Genuine familiarity with core sales metrics and how they drive business decisions
• Track record of presenting analysis to senior leadership

Core Technical Skills

• Advanced Excel/Google Sheets mastery: modeling, complex formulas, large datasets, data validation
• Snowflake and SQL: hands-on experience querying a cloud data warehouse to build in-depth analytics, not just pull simple reports. Comfortable writing multi-step queries, joining tables, and validating output against source data
• CRM platform experience: HubSpot preferred; Salesforce knowledge valuable
• BI tools: exposure to Looker, Tableau, or similar for visualization and reporting