Analytics Engineer (BI Developer)

For many of us there’s that one podcast we never miss, and video content is part of our daily routine, whether it’s professional or personal. But how many of us truly understand the effort that goes on behind the scenes? Here at Riverside, we know it well. That’s exactly why we built an AI-powered platform that helps content creators, podcasters, marketeers, and more at major brands like Netflix, Disney, Google, and Microsoft to create high-quality content with ease.

Riverside’s technology streamlines the entire content creation process, turning ideas into professional-grade content with the highest production standards, without requiring expensive equipment or external services. The secret? AI-driven tools that replace traditional production roles like editing, directing, and design, automating the entire process at the click of a button.

About The Data Team

Riverside’s Data & Analytics team believes there’s a better way to make data useful than just creating endless dashboards. We focus on in-depth analysis and building scalable, trustworthy data solutions that help every team make faster, smarter decisions. From analytics and business intelligence to data pipelines and predictive models, we turn raw information into real impact. If you’re passionate about finding radical new ways to leverage data, you’ll fit right in.

On your day to day

You’ll design and build robust data models and pipelines, transforming raw data into reliable, actionable insights. You’ll collaborate closely with stakeholders across the company to understand their needs and deliver data solutions that drive strategy and operations. From writing clean, well-tested DBT models to monitoring data quality and performance, your work will have a direct impact on decision-making. As the team grows, you’ll also help shape best practices and scale our modern data stack.

What Will Make You Stand Out?

• Strong proficiency in SQL, with 2+ years of hands-on experience building data pipelines and managing data warehouses; experience with DBT and Jinja is a strong plus.
• Working knowledge of Python for data extraction, processing, and automation tasks.
• Solid understanding of software engineering best practices, including query optimization, version control (e.g., Git), code reviews, and documentation.
• Analytical mindset with strong problem-solving skills, a proactive approach to improving data processes and tools, and the ability to manage multiple priorities independently.
• Comfortable working in a fast-paced, cross-functional environment and collaborating with teams across Product, BizOps, and Marketing.
• Bonus: Experience with event tracking, NoSQL databases, or other modern data technologies.