Data 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
At Tovala, we eat data for breakfast… along with our delicious biscuits. Our team is a small group of analysts and engineers who are passionate about helping teams across the Tovala organization make data-driven decisions.

We are looking for a Senior Data Analyst to lead Retention Analytics, focusing on understanding, forecasting, and improving how customers engage with Tovala over time. The ideal candidate combines analytical rigor with a deep curiosity about customer behavior, always asking why customers act the way they do and how we can better serve them. This person will be a key partner for our Lifecycle Marketing (LCM), Demand Planning, Finance, and Product teams, helping them answer critical questions such as:
• What drives customer retention?
• How can we design initiatives to improve it?
• How much future demand will our customers generate?

This role will build and sustain a retention analytics ecosystem: generating and validating hypotheses, modeling potential outcomes, measuring performance against expectations, and using insights to generate new hypotheses. They will own core analytics products such as retention models, churn predictions, and demand forecasts – ensuring these tools are actionable, trusted, and accessible for business stakeholders.

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