Operations Analyst

This position is listed on behalf of a partner company, who manages all applications and next steps. Our partner is looking for an Operations Analyst based in the United States.

This is an opportunity to join a fast-growing operations team where data directly supports high-stakes, real-world decisions.

• Own and maintain production-grade SQL queries, dashboards, and self-service tools in platforms such as Metabase or Looker, ensuring teams have reliable visibility into operational KPIs.
• Analyze performance across vendors, agents, time periods, and operational workflows to identify trends, gaps, and opportunities for improvement.
• Investigate anomalies and data-quality issues using rigorous, hypothesis-driven analysis, escalating well-defined fixes to central data teams when underlying models or warehouse tables need to change.
• Establish and maintain consistent metric definitions, proactively identifying misleading or broken reporting before it reaches operational or executive decision-makers.
• Develop staffing forecasts using historical incident volumes, seasonality, throughput, and relevant external datasets such as wildfire activity, weather, and seasonal trends.
• Analyze headcount and coverage against operational demand and support scenario planning for peak periods.
• Work closely with frontline operations teams to understand how cases are actually handled and incorporate real-world workflow context into analytics, tooling, and recommendations.
• Document analytical findings clearly and communicate insights effectively to both technical and non-technical stakeholders.
• Travel to international vendor locations when required to observe operations firsthand and use those insights to improve analysis and operational tools.

• Demonstrated technical proficiency in SQL, with experience building and maintaining production-grade BI infrastructure using tools such as Metabase or Looker.
• Strong analytical and problem-solving abilities, with a curious and skeptical approach to data and a commitment to understanding what metrics truly represent before using them for decisions.
• Proficiency in Python for statistical analysis; hands-on experience with time-series analysis, predictive modeling, or operational forecasting is highly valued.
• Experience identifying, evaluating, and incorporating relevant third-party datasets to strengthen internal analysis and operational forecasting.
• Ability to immerse yourself in operational workflows and combine quantitative analysis with an understanding of how people and processes function in practice.
• Strong collaboration skills and experience partnering with centralized analytics or data teams through clearly scoped, prioritized requests.
• Excellent written and verbal communication skills, with the ability to translate complex analytical findings into clear recommendations for diverse audiences.
• Strong organizational skills, attention to detail, and a commitment to data integrity in environments where reporting accuracy directly affects operational performance.
• Adaptability and resilience when working in a fast-paced, high-growth environment with evolving priorities and complex operational challenges.

• Competitive base salary: $117,000–$140,000 annually, depending on qualifications, experience, skills, knowledge, and geographic location.
• Equity: Eligibility for equity as part of the overall compensation package.
• Remote work: US-based remote position offering flexibility within a distributed working environment.
• Health coverage: Benefits may include health insurance or other healthcare coverage, depending on local market standards and applicable requirements.
• Retirement benefits: Retirement or pension contributions may be available depending on location and applicable requirements.
• Paid time off: PTO and other leave benefits tailored to local market standards and statutory requirements.
• International exposure: Opportunities to travel to vendor sites and gain firsthand insight into global operations.
• High-impact work: Contribute to technology and operational systems designed to improve wildfire detection, response, and community resilience.