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Otter

Operations Analytics Engineer

Los Angeles, CA$93k–$109kfull-timemidAdded today

About this role

Otter seeks an Operations Analytics Engineer to monitor and safeguard the health of revenue-critical products by detecting performance anomalies, investigating root causes across technical and operational domains, and building proactive alerting systems. You'll partner with engineering, operations, and product teams to triage issues quickly and maintain stakeholder trust in platform data.

What you'll do

  • Monitor core KPIs and business metrics to identify unexpected patterns, spikes, or drops in performance
  • Investigate root causes of issues across data quality, technical systems, operational workflows, and product behavior
  • Design and maintain dashboards, alerts, and monitoring systems to detect early warning signs of degradation
  • Collaborate with Engineering, Operations, and Product teams to debug and resolve cross-functional issues
  • Develop and evolve business health checks and early-warning systems for the platform
  • Create documentation and playbooks to standardize incident response and improve organizational practices

What they're looking for

  • SQL and data analysis
  • BI/dashboarding tools (Looker, Tableau, Mode, or similar)
  • Business KPI and operational metrics analysis
  • Cross-functional communication and collaboration
  • Root cause analysis and troubleshooting
  • Data quality monitoring and alerting systems (bonus)
  • Ownership and bias for action
  • Documentation and process improvement

Benefits

  • Medical, dental, and vision insurance with HSA options
  • Company-paid life and disability insurance
  • 401(k) and Health Savings Account
  • Discretionary vacation, 8 paid holidays, paid sick/bereavement/parental leave
  • Flexible Spending Accounts (Healthcare, Dependent Care, Commuter)
  • Pet insurance discount
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Otter

Otter builds software solutions for the restaurant industry, including online food delivery and point-of-sale integrations that help restaurants optimize their operations. The company is hiring Solutions Engineers, Sales Engineers, and Backend Engineers to support customer implementations, manage technical partnerships, and develop its platform infrastructure.

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Likely interview questions

  • Walk us through a time when you identified an unexpected drop in a key metric—how did you investigate and what was the outcome?
  • Describe your experience building dashboards or alerts. What tools have you used, and how did your work impact decision-making?