Analytics Engineer

תל אביב
משרה קבועה
משרה מלאה

לפני 27 ימים

Want to shape how data drives product decisions?As an Analytics Engineer at Gong, you'll design the foundations of our data infrastructure, build robust and scalable data models, and empower teams across the organization with actionable insights that fuel our product direction.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.*We operate in a flexible hybrid work model.About usGong empowers everyone in revenue teams to improve productivity, increase predictability, and drive revenue growth by deeply understanding customers and business trends; driving impactful decisions and actions. The Gong Revenue AI Platform captures and contextualizes customer interactions, surfaces insights and predictions, and powers actions and workflows that are essential for business success. More than 4,500 companies around the world rely on Gong to unlock their revenue potential. For more information, visit .Here at Gong, we encourage our employees to express their personality and identity (whether gender, ethnic, religious, or sexual), and we ensure fairness and equal opportunities. We follow a hybrid working model that combines working from home, on the go, or at the office. This allows us: flexibility, autonomy, positive work relationships, and effective work habits.If these considerations are important to you when choosing a work place, we'd love to see you with us.To review Gong's privacy policy, visit for more details.

Gong

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