Analytics Engineer 3 (Revenue Operations)

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 Bring

• A deep and genuine interest in Behavox as demonstrated by a connection to its mission, marketplace and/or technologies
• Proven experience with modern data platforms such as BigQuery, Snowflake, Redshift, or DuckDB
• Proficiency in BI tools like Omni or Looker, and data transformation frameworks such as DBT, Airbyte, or Matillion
• Advanced programming skills in Python or TypeScript, coupled with strong expertise in SQL
• A demonstrated ability to combine predictive analytics with machine learning models to deliver actionable insights.

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.

What We Offer

• A truly global mission with a passionate highly talented community in locations all over the World
• The ability to have significant impact and potential for learning as our aspirations require bold innovation
• A highly competitive cash compensation package with performance bonuses baked into salary payments
• A flexible work schedule that allows for Remote or Hybrid work as appropriate to the role and location
• A very generous time-off policy (30 days annually), with public holidays for your geography in addition

About Our Process

We take Talent very seriously and we are building a community of extraordinary individuals working together in very high performing teams. We also know that the best Talent always has options so we believe that the process has to be a two way assessment - the company AND the candidate assessing the business needs alignment, the career next step alignment, and the cultural alignment. 

During the process we will begin by exploring the core factors regarding salary and location along with core experience and skills and values alignment. We will then deep dive explore the critical technical competencies we have identified for the role, and then we will deep dive in behavioral  competencies.

The most aligned candidate will then be asked to do a practical work task simulation activity so we can make sure that you will enjoy the kind of work the role requires, and this task will typically be presented and discussed with a group of colleagues and managers. Finally we will ask you to meet with a number of our senior leaders to make sure that you are making the most informed call possible."