Customer Support Operations Analyst

We’re Tovala, a food\-tech company reinventing home cooking to save consumers time. Through an innovative combination of hardware, software, and fresh food delivery, we make it incredibly simple for anyone to prepare and enjoy delicious, home\-cooked meals without sacrificing time to do whatever matters to them. Through our superior technology, product experience and food quality, we have separated Tovala from the busy pack of other meal delivery businesses. In the process, we’ve amassed a loyal, rapidly growing following and our retention, product engagement and customer NPS are all best\-in\-class. We’ve raised over $100mm from great investors like Left Lane Capital, Origin Ventures, Y Combinator and Comcast Ventures and have invested strongly in building a unique culture that fosters growth, personal development and camaraderie. **Position Summary** The Support Operations Analyst supports data\-informed workforce strategies across Customer Support Operations, handling day\-to\-day scheduling, real\-time workforce management, analytics, and reporting, with hands\-on support for Zendesk and Assembled. This role also serves as a point of escalation for support troubleshooting issues and partners closely with Operations leadership to keep workforce plans and daily operations running smoothly. The ideal candidate is detail\-oriented and operationally focused, with hands\-on WFM experience and comfort working in a fast\-growing, multi\-channel startup supporting email, chat/messaging, phone, text, and social. ### **How you'll spend your time at Tovala** *Data Analysis \& Reporting* * Analyze historical and real\-time performance data to surface trends, risks, and improvement opportunities * Maintain and distribute KPI reporting (service levels, occupancy, adherence, shrinkage, cost per contact, productivity), including a weekly scorecard * Conduct monthly meal audits for accuracy and policy compliance * Monitor and report on fraud\-related tickets, flagging patterns and escalating as needed * Translate data into clear recommendations for senior leadership *Forecasting \& Scheduling* * Support short\-, mid\-, and long\-term forecasts for volume, handle times, shrinkage, and staffing across channels * Build and publish weekly schedules balancing service levels, budget, and employee experience * Process schedule adjustments and PTO requests; track shrinkage to improve forecast accuracy * Schedule offline activities (training, coaching, internal meetings, project work) * Oversee intraday management: real\-time monitoring, re\-forecasting, staffing adjustments *Queue Monitoring \& Workload Balancing* * Track utilization, occupancy, and overtime to catch bottlenecks early * Maintain visibility into in\-flight work across queues/channels and redistribute as needed * Monitor relevant Slack channels for operational issues, volume spikes, and escalations impacting staffing *Support Escalations* * Serve as an escalation point for custom