About the role
About Voicemod ✨ At Voicemod, our mission is to enable people to supercharge their voice wherever they communicate, fostering self-expression and belonging. We create audio tools that let gamers, streamers, and content creators shape their online identity with voice changers, soundboards, and real-time effects. Millions of people use Voicemod every day to enhance their interactions and have fun. We’re a team of 90+ people working remotely or from our Valencia HQ or our coworking space in Barcelona . We’re passionate about pushing the boundaries of audio and building products that make digital spaces more expressive and playful. At Voicemod, we care deeply about our people and users — if you share our passion, we’d love to meet you! Our Values 💜 At Voicemod, our values are more than just words — they shape
how we work every day: 🚀 Be Brave – Courage drives progress. 🏆 Show Ownership and Accountability – Impact begins with ownership. 🎸 Embrace Passion at Play – Passion builds success. 🤝 Grow Together – Go further by growing together.
About
the role 💡 We are looking for an Analytics Engineer to help us take our data platform to the next level — so that everyone at Voicemod can make decisions backed by data. This role is open at both mid and senior level, we'll calibrate title and scope based on your experience. We'd love to hear from you even if you're earlier in your career but bring a builder mindset, and a genuine desire to grow. What You’ll Do 🎯 Collaborate with engineers, product teams and analysts to develop data products that are precise and insightful. Own the data product lifecycle , including designing tracking plans, developing data models, ELT pipelines, and self-serve data products. Design and maintain an AI-enabled semantic laye r that allows business users to interact with data through natural language using agentic AI tools. Find creative ways to integrate AI into the Data lifecycle. Be the data steward, ensuring data quality and consistent metrics . What you'll need ✅ 2+ years of experience in Business Intelligence, Data Engineering, or Data Analytics with advanced SQL skills. Solid knowledge of data modelling . Experience with dbt and Python . Experience with event tracking tools like Amplitude, Segment, mParticle, or similar.