Data Analytics Engineer

🔥 14 hours ago

🇺🇸 United States – Remote

💵 $160k - $190k / year

⏰ Full Time

🟡 Mid-level

🟠 Senior

📊 Analytics Engineer

👻 Ghost score 1%

What it means: how likely this posting is sitting open without active hiring.How to read it: 60% or higher means we think this is a ghost. Lower scores are less of a worry.How we score it: age, reposts, open roles vs team size, how fast jobs close, and whether pay is listed.Fine print: an estimate from public data, not a judgment of the company. Real jobs can score high, so treat it as a hint, not a fact.

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NetBrain Technologies Inc.

WebsiteLinkedInAll Job Openings

501 - 1000 employees

Founded 2004

💼 Consulting

📦 Logistics

📣 Marketing

💰 $40M Venture Round on 2014-04

Consulting • Logistics • Marketing

NetBrain Technologies Inc. is a leading provider of AI-powered network automation solutions. The company specializes in proactive network operations and troubleshooting, offering a platform that simplifies network discovery, automates remediation, and ensures network observability. NetBrain's innovative features include AI Co-Pilot, no-code automation, dynamic mapping, and preventive automation tools that assist in network diagnostics and safe change management. Trusted by numerous Fortune 500 companies, NetBrain serves a wide range of industries including cloud operations, security operation centers, and network architects, providing solutions that address network challenges such as outage prevention, risk mitigation, and compliance. The company also offers extensive resources for training and professional development through NetBrain University.

📋 Description

• 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 bringing raw data from GTM, Finance, and Product tools into the warehouse. • Contribute to the BI tool’s semantic layer, metric definitions, and access model for executive reporting and internal AI use cases. • Own data quality, governance, and lineage, including 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. • Partner with business stakeholders to define measurement needs and build foundational analytics infrastructure.

🎯 Requirements

• 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. • 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

• Bonus • 401k • Medical/dental coverage • Reasonable accommodation in the application process for disabilities