1 день назад
Operations Data Analyst (Wildfire Intelligence)
117 000 - 140 000$
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Operations Data Analyst (Wildfire Intelligence) (SQL/Python): Building operational analytics, BI dashboards, data-quality tooling, and staffing forecasts for wildfire-response review operations with an accent on production-grade SQL infrastructure, vendor performance analysis, and time-series forecasting. Focus on root-causing anomalies, integrating fire and weather datasets, modeling peak-season staffing needs, and translating complex findings for technical and operational stakeholders.
Location: US - Remote
Salary: $117K–$140K plus equity
Company
develops AI-powered wildfire detection and intelligence technology combining high-definition camera hardware, software, satellite imagery, and other data sources to provide real-time situational awareness for fire agencies and other customers.
What you will do
- Own Metabase SQL, dashboards, and self-service tools used by PIC Ops employees and leadership to monitor KPIs and manage daily operations.
- Analyze vendor and agent performance across time periods, identify trends and gaps, and investigate anomalies using a hypothesis-driven approach.
- Monitor reporting-table data quality, maintain consistent metric definitions, and coordinate dbt or warehouse changes with the Analytics team.
- Forecast staffing requirements using incident volume, seasonality, throughput, fire activity, weather, and other relevant external datasets.
- Analyze headcount and coverage against demand and support peak-wildfire-season scenario planning.
- Observe PIC Ops workflows, document findings, and translate operational insights into durable analytics tooling for technical and non-technical audiences.
Requirements
- Strong SQL proficiency and experience managing production-grade BI infrastructure with Metabase, Looker, or similar platforms.
- Proficiency in Python for statistical analysis; experience with time-series modeling or predictive forecasting is highly valued.
- Ability to identify and integrate relevant third-party datasets into operational analysis.
- Rigorous approach to data quality and metric definitions, with the ability to identify misleading or unreliable reporting.
- Strong collaboration and written communication skills for working with central data teams and operational stakeholders.
- Adaptability and resilience in a rapid-growth, high-stakes environment where data integrity is critical.
Culture & Benefits
- Hybrid-remote environment with more than 175 employees across North America and Australia.
- Regular full-time employees are eligible for equity in addition to base salary.
- Benefits are tailored to local market standards and statutory requirements in the employee's country of employment.
- Benefits may include health coverage, retirement or pension contributions, and paid time off.
- International travel to vendor sites is part of the role.
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