Operations Analytics Engineer

In the past, to be a successful restaurateur, you simply had to have a passion for food and a passion for people - but to succeed as a digital restaurateur you also need a passion for technology. We believe in the joy of serving others, and that's why we created Otter – to help restaurateurs  succeed in online food delivery. Restaurants around the world, both large and small, including Chick-fil-A, Ben & Jerry’s, KFC, and Eataly trust our software to power their delivery business. We increase sales, reduce order issues, and decrease delivery headaches.

We’re looking for an Operations Analytics Engineer to join our data & operations team. In this hybrid role, you’ll monitor the health of our top revenue products through data: identifying anomalies in performance, surfacing issues across data pipelines or operations, and helping ensure that what we deliver to customers is both accurate and actionable.

This is not just a technical data quality role. You’ll work across systems and teams to proactively detect drops, gaps, or unexpected patterns in revenue and product performance and help determine whether they stem from technical failures, operational gaps, or real-world customer behavior. Your work will guide fast triage, help us prioritize fixes, and improve the trust stakeholders have in our platform.

• →Monitor core KPIs across customers, segments, and systems to identify unexpected drops, spikes, or anomalies
• →Investigate the root cause of business performance issues, whether due to data issues, operational breakdowns, or product changes
• →Build and maintain dashboards, alerts, and monitors to detect early signs of degradation in revenue recapture outcomes
• →Partner with Engineering to debug technical issues; with Operations to flag workflow breakdowns; and with Product to validate system behavior
• →Maintain and evolve business health checks that serve as our early-warning system
• →Create documentation and playbooks to improve response times and support proactive quality practices across the organization

• Strong analytical skills and experience working with business KPIs and operational metrics
• Proficiency in SQL and experience with dashboarding/BI tools (e.g., Looker, Tableau, Mode)
• A cross-functional mindset: you’re comfortable working with data engineers, product managers, and ops specialists alike
• Strong sense of ownership and bias for action: you don’t just surface issues, you help solve them
• Bonus: experience with data quality monitoring tools or operational alerting systems

This role is based in our Los Angeles office location. As a company driven by innovation and continuous change, close collaboration is essential. We’re constantly reimagining our industry, creating new products, and refining our processes, and we do our best work together. That’s why all of our office-based teams work onsite, five days a week. 

The base salary range for this role is $93,000 - $109,000 per year.

Actual compensation will be determined on an individual basis and may vary depending on experience, skills, and qualifications.

Base salary is just one part of your total rewards package. You may also be eligible for equity awards and an annual performance-based bonus.

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