[Hiring] Data Analytics Engineer @NetBrain

Role Description

NetBrain is hiring a Senior Analytics Engineer to architect and establish our first cloud data warehouse, addressing the lack of standardized reporting and a single source of truth for the business.

• Architect and maintain NetBrain’s cloud data warehouse.
• Own warehouse transformations end to end — from raw ingestion through documented, stable tables that downstream teams and tools depend on.
• Design and maintain ELT pipelines that bring raw data from tools across GTM, Finance, and Product into the warehouse.
• Contribute to the technical foundation of our BI tool — semantic layer, metric definitions, and access model — that powers executive reporting and NetBrain’s internal AI use cases.
• Own data quality, governance, and lineage: freshness checks, testing, access controls, and a documented source of truth.
• Build and maintain curated data models for product usage, customer adoption, account health, and go-to-market reporting.

Qualifications

• 6+ years in analytics engineering, data engineering, or a similar role, with real ownership of production data models.
• Strong SQL and a track record shipping analytical models that other teams depend on.
• Hands-on experience with a modern cloud data warehouse (Snowflake preferred, or comparable platforms like BigQuery).
• Extensive experience with a transformation framework such as dbt or SQLMesh.
• Scripting ability (Python or similar) for ingestion, validation, or automation.
• Experience with a BI or semantic-layer tool (e.g., Omni, Looker, Tableau).
• Sound judgment around data access, governance, and handling of sensitive data.
• Manual Dexterity: Repetitive motion of wrists, hands and fingers for using a computer.
• Stationary Tasks: Sitting for extended periods, remaining in a stationary position.

Requirements

• Experience building the technical foundation for AI-assisted or natural-language reporting — semantic layers built to support LLM or agent-based tools.
• Familiarity with GTM and Customer Success data sources such as Salesforce, Gainsight, or HubSpot.
• Experience applying machine learning or statistical forecasting techniques (e.g., time-series and churn-propensity models) to predict key business metrics such as ARR and customer retention.

Benefits

• Estimated base salary: $160,000 - $190,000 + Bonus.
• Comprehensive benefits package including 401k and medical/dental coverage.
• Details on Total Rewards philosophy available through the Recruiter.