About Port

At Port.io, we are building an open and flexible Agentic Engineering Platform for modern engineering organizations. Following our recent $100M Series C funding round, we are in a phase of rapid hypergrowth with strong enterprise momentum.

We act as the central nervous system for engineering, enabling platform teams to unify their stack and expose it as a governed layer through golden paths for developers and AI agents.

By combining rich engineering context, workflows, and actions, we help organizations transition from manual processes to autonomous, AI-assisted engineering workflows while maintaining control and accountability.

As a product-led company, we believe in building world-class platforms that fundamentally shape how modern engineering organizations operate.

Role Overview

We are seeking a Senior Data Analyst to serve as the primary interface and strategic analytics partner between Data Engineering / DWH teams, management, and business leaders. In this strategic role, you will work closely with leadership and business partners to translate business objectives into actionable data solutions, establish analytics standards and best practices, and lead experimentation across core business processes. You will also plan, prioritize, and manage analytics initiatives and roadmaps, ensuring the timely delivery of insights and solutions that drive informed decision-making across Marketing, Sales, Finance, Support, and Customer Success.

Key Responsibilities

• Serve as the primary interface and analytics partner between Data Engineering / DWH teams and business stakeholders
• Translate business needs into analytics requirements, specifications, roadmaps, and prioritized backlogs
• Collaborate with Data Engineers on DWH requirements, data models, and pipelines
• Plan, coordinate, and track analytics initiatives and projects to ensure timely delivery and alignment with business objectives
• Support stakeholders in understanding, interpreting, and using ingested and production data
• Define and own analytics standards, metrics, and best practices across the company
• Design, execute, and analyze experiments to optimize core business processes
• Define dashboard requirements and deliver impactful dashboards and insights
• Work with Systems, Product, and R&D teams to map data sources, address data gaps, and improve data quality

• 5+ years of experience in Data Analytics, Business Intelligence, or a related role
• Experience building dashboards using modern BI tools
• Strong ability to explain complex data concepts and insights to non-technical audiences
• Extensive SQL skills and experience working with large, complex datasets
• Strong program/project management skills
• Experience working with data warehousing, data modeling, and ETL/ELT concepts
• Strong understanding and experience with business domain processes (GTM, Finance, Support, Customer Success)
• Strong presentation and communication skills and proficiency in English