About PortAt Port.io, we are building an open and flexible Agentic SDLC 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 OverviewWe are seeking a Senior BI Engineer 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 ResponsibilitiesServe as the primary interface and analytics partner between Data Engineering / DWH teams and business stakeholdersTranslate business needs into analytics requirements, specifications, roadmaps, and prioritized backlogsCollaborate with Data Engineers on DWH requirements, data models, and pipelinesPlan, coordinate, and track analytics initiatives and projects to ensure timely delivery and alignment with business objectivesSupport stakeholders in understanding, interpreting, and using ingested and production dataDefine and own analytics standards, metrics, and best practices across the companyDesign, execute, and analyze experiments to optimize core business processesDefine dashboard requirements and deliver impactful dashboards and insightsWork with Systems, Product, and R&D teams to map data sources, address data gaps, and improve data quality