Gong Analytics Engineer 

Israel, Tel Aviv District, Tel Aviv-Yafo 

391532162

As an Analytics Engineer, you will:

• Design and implement robust data models to transform raw data into analytics-ready tables, enabling confident decision-making across product and business teams.
• Own and maintain our dbt pipelines with a focus on scalability, modularity, and clear documentation.
• Continuously evolve our data models to reflect changing business logic and product needs.
• Build and maintain comprehensive testing infrastructure to ensure data accuracy and trust.
• Monitor the health of our data pipelines, ensuring integrity in event streams and leading resolution of data issues.
• Collaborate closely with analysts, data engineers, and product managers to align data architecture with business goals.
• Guide the analytics code development process using Git and engineering best practices.
• Create dashboards and reports in Tableau that turn insights into action.
• Drive performance and cost optimization across our data stack, proactively improving scalability and reliability.

You should apply if you are:

• A data professional with 4+ years of experience in analytics engineering, BI development, or similar data roles.
• Highly skilled in SQL, with hands-on experience using Snowflake or similar cloud data warehouses.
• Proficient in DBT for data transformation, modeling, and documentation.
• Experienced with Tableau or similar BI tools for data visualization.
• Familiar with CI/CD for data workflows, version control systems (e.g., Git), and testing frameworks.
• A strong communicator who can collaborate effectively with both technical and non-technical stakeholders.
• Holding a B.Sc. in Industrial Engineering, Computer Science, or a related technical field.
• Passionate about translating complex data into clear, scalable insights that drive product innovation.

Bonus points if you have:

• Experience with event instrumentation and user behavioral data.
• Scripting ability in Python for automation and data processing.
• Familiarity with modern data stack tools such as Airflow, Fivetran, Looker, or Segment.

for more details.