ABOUT BEHAVOX

Behavox is shaping the future for how businesses harness their most important raw material - data. Our mission is bold: Organize enterprise data into actionable information that protects and promotes the business growth of multinational companies around the world.
From managing enterprise risk and compliance to maximizing revenue and value, our data operating platform presents a widespread opportunity to build multilingual, AI/ML-based solutions that activate data for every function within a global enterprise.
Our approach is unique, and it’s validated by our customers who tell us to keep forging ahead because no one else is aggregating, analyzing, and acting on data to uncover opportunities or solve problems quite the way we are.
We are looking for fearless innovators who have an insatiable appetite for building what no one has built before.

ABOUT THE ROLE

Reporting to the VP of Revenue Operations, this role is at the heart of scaling Behavox’s revenue capabilities by delivering critical data and analytics solutions for the sales organization.
As the Analytics Engineer, you will design and implement data pipelines, models, and dashboards that provide actionable insights into sales performance and enable strategic decision-making across the organization.
This is an exciting opportunity to become Behavox’s first dedicated analytics hire, laying the foundation for a scalable data practice with minimal technical debt and a well-defined project roadmap. Collaborating closely with leaders across Sales, Customer Success, Product, and Technology, your work will directly drive revenue growth and operational excellence in a fast-paced SaaS environment.

WHAT YOU’LL DO

• Build and maintain ETL pipelines that integrate data from diverse systems into a centralized, reliable warehouse
• Develop data models and visualizations using BI tools, ensuring GTM stakeholders have clear and actionable insights
• Create and refine dashboards for sales leaders, providing transparency into pipeline efficiency, revenue, and performance metrics
• Tackle technical debt in the reporting backlog, ensuring the integrity and scalability of analytics systems
• Leverage predictive analytics to inform capacity planning, optimize capital allocation, and uncover revenue opportunities.