Senior Business Analyst

About Us HiBob helps modern, mid-size businesses transform the way they manage people, giving HR and managers all they need to connect, engage, develop, and retain top talent. Since 2015, we’ve achieved consecutive triple-digit year-over-year growth, all backed by our amazing team of Bobbers from across the globe, making us the choice HRIS of over 5,500 midsize and multinational companies and over 1 Milion users. Our HR platform is intuitive, data-driven, and built for the way people work today: globally, remotely, and collaboratively. About the Role We’re looking for a Senior Business Analyst to shape and scale our analytical capabilities across the organization. This role is responsible for building the analytical foundation that enables trusted decision-making, consistent business metrics, AI-powered analytics, and self-service adoption. Working across multiple business domains, you will define standards, improve how analytics is consumed, and help transform analytics into a strategic business capability. 5 years of experience in Business Analytics or Analytics Consulting within a technology company. Advanced SQL and strong analytical capabilities. Strong understanding of business processes, KPI design, semantic layers, and analytical modeling. Proven ability to define standards and lead cross-functional initiatives. Experience building scalable analytical solutions rather than one-off analyses. Strong data storytelling, communication, and stakeholder management skills. Hands-on experience delivering complex data products using AI-powered workflows, including skills, prompts, and agents with tools such as Cursor, Codex, Claude Code, and Cowork. Passion for improving how organizations use data to make decisions. Strong curiosity about emerging AI capabilities and their practical application within analytics. Define and maintain analytical standards, business metrics, and KPI governance across domains. Drive the evolution of the organization’s semantic layer and analytical framework. Lead cross-functional initiatives to improve the consistency, quality, and scalability of analytics. Partner with business stakeholders to translate complex processes into trusted analytical assets. Drive AI adoption within the analytics organization by defining best practices, playbooks, and new ways of working. Enable self-service analytics by improving data discoverability, documentation, and user experience. Build reusable frameworks, templates, and methodologies that increase efficiency across the analytics team. Identify opportunities to simplify analytical workflows and improve delivery quality. Mentor analysts and promote analytical excellence across the organization. Act as a thought partner for leadership on analytics strategy, governance, and future capabilities.