Analytics Engineer 3

Summary

Join Behavox as their first dedicated Analytics Engineer and play a pivotal role in scaling the company's revenue capabilities. Reporting to the VP of Revenue Operations, you will design and implement data pipelines, models, and dashboards to provide actionable insights into sales performance. This role requires expertise in modern data platforms, BI tools, and programming languages like Python or TypeScript. You will build and maintain ETL pipelines, develop data models and visualizations, create dashboards, and leverage predictive analytics to drive revenue growth. Behavox offers a competitive compensation package, flexible work schedule, generous time off, and a global mission.

Requirements

• 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

Responsibilities

• 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

Benefits

• 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