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.