Senior Analytics Engineer

Who are we?

From your everyday PowerPoint presentations to Hollywood movies, AI will transform the way we create and consume content. Today, people want to watch and listen, not read — both at home and  you’re reading this and nodding, check out our brand video. Despite the clear preference for video, communication and knowledge sharing in the business environment are still dominated by text, largely because high‑quality video production remains complex and challenging to scale—until now….

We're on a mission to make video easy for everyone. Born in an AI lab, our AI video communications platform simplifies the entire video production process, making it easy for everyone, regardless of skill level, to create, collaborate, and share high‑quality videos. Whether it's for delivering essential training to employees and customers or marketing products and services, Synthesia enables large organisations to communicate and share knowledge through video quickly and efficiently.

We’re trusted by leading brands such as Heineken, Zoom, Xerox, McDonald’s and more. Read stories from happy customers and what 1,200+ people say on G2. In 2023, we were one of 7 European companies to reach unicorn status. In February 2024, G2 named us the fastest‑growing software company in the world and we announced our Series D in 2025. We've now raised over $330M from top‑tier investors like NEA, Accel, Kleiner Perkins, Nvidia, and the founders of Stripe, Datadog, Miro, and Webflow.

As an Analytics Engineer, you’ll be a key early member of our data function, responsible for building and evolving the analytics foundations that power product decision‑making across the company. You’ll work closely with Product, Analytics, and Engineering to turn raw product data into trusted, well‑defined datasets, metrics, and data products that scale with the business.

You’ll own the principles behind how we model data for self‑serve and AI use cases, balancing speed with data quality and long‑term maintainability. This includes designing models and metric foundations that are robust to change, easy to reason about, and suitable for both human and machine consumption.

• Partner with Product, Analytics, and Engineering to understand data needs and translate ambiguous questions into clear, scalable data models
• Define, build, and maintain core dbt models that transform raw product data into canonical, well‑documented datasets
• Own metric definitions and transformation logic to ensure consistency, accuracy, and trust across reporting and analysis
• Establish and uphold data quality standards, testing, and expectations around freshness and reliability
• Work closely with Product Analysts to enable faster, higher‑quality insights and decision‑making
• Support data consumption in tools like Amplitude and Omni, ensuring data is intuitive and easy to self‑serve
• Act as a subject‑matter expert for analytics engineering, guiding best practices and helping others solve data problems
• Contribute to shaping the future direction of our data stack as product complexity and scale increase

• ⚒️ Stack: dbt, Snowflake, Amplitude, Omni
• 🌱 Early, high‑impact role with real ownership over the analytics layer
• 🤝 Highly collaborative environment with product‑ and data‑savvy stakeholders
• 🚀 Outcome‑focused team where pragmatism and impact matter more than process

• You have 4+ years of experience in analytics engineering or data engineering, ideally in product‑led or high‑growth environments
• You have strong hands‑on experience with dbt and enjoy designing modular, scalable, and well‑tested data models
• You write advanced, performant, and maintainable SQL
• You can translate business and product requirements into robust data pipelines and metrics
• You have a strong product mindset and understand how data and metrics influence product direction
• You’re comfortable operating across the stack and taking ownership end to end when needed
• You care deeply about data quality, clarity, and trust
• You’re outcome‑driven and can clearly articulate the impact your work has had on teams or…