Analytics Engineer – Operations

Job not on LinkedIn

🕒 August 12

🇺🇸 United States – Remote

💵 $110k - $140k / year

⏰ Full Time

🟡 Mid-level

🟠 Senior

📊 Analytics Engineer

👻 Ghost score 10%

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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Pano AI

WebsiteLinkedInAll Job Openings

51 - 200 employees

Founded 2019

💼 Consulting

🎖️ Defense

📦 Logistics

💰 $44M Series B - Pano on 2025-06

Consulting • Defense • Logistics

Pano AI is an AI-powered wildfire detection and situational awareness platform that provides early detection, visual intelligence, and real‑time data to support faster, coordinated wildfire response. Its enterprise-grade solution notifies stakeholders of confirmed incidents and delivers actionable insights to utilities, fire professionals, and landowners to protect communities, infrastructure, and the environment.

📋 Description

• Own dbt models, Metabase dashboards, and self-serve tools used daily by individual contributors and leadership • Investigate performance differences across vendors and time periods to identify trends and gaps • Detect and fix data quality issues in core reporting tables, including changes to dbt models or dependent tooling • Perform root-cause analysis of vendor and agent performance anomalies • Maintain consistent metric definitions across multiple vendors and proactively identify broken or misleading metrics • Forecast staffing needs using incident volume, seasonality, throughput, fire activity, weather, and seasonal trend data • Analyze headcount and coverage against demand and support peak wildfire season scenario planning • Document findings for technical and non-technical audiences • Immerse yourself in Ops workflows and incorporate operational context into analytics tools • Travel to international vendor sites to observe operations firsthand • Import third-party data, model it through dbt, and build SQL-powered Metabase dashboards

🎯 Requirements

• Proven technical proficiency in SQL • Ability to manage and sustain production-grade BI infrastructure across platforms like Metabase or Looker • Experience using dbt (Cloud or Core) to develop robust data models with unit tests and documentation • Proficiency in Python for statistical analysis • Hands-on experience with time-series modeling or predictive forecasting highly valued • Ability to identify and integrate relevant third-party datasets • Rigorous, skeptical approach to data and metric definitions • Ability to collaborate with central data teams and define well-scoped, prioritized requests • Strong written communication for technical and operational audiences • Resilience and adaptability in a high-stakes, rapid-growth environment

🏖️ Benefits

• Equity eligibility for regular full-time employees • Health coverage may be provided according to local market standards and statutory requirements • Retirement or pension contributions may be provided according to local market standards and statutory requirements • Paid time off may be provided according to local market standards and statutory requirements