Analytics Engineer

You can continue reading or look at the video here.

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 at work. If 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….

Meet Synthesia

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 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.

What you will be doing:

In this role, you’ll own the analytics layer of our product data stack, ensuring our DBT models, metrics, and transformation logic reflect the evolving needs of product teams. Next to this, you will coordinate, support and execute on building core datasets.

You'll work closely with our Product Analysts to create data models and pipelines that unlock insights and enable smarter decisions about our product features. Your main goal is to ensure our data is easy to navigate and trustworthy, allowing end-users to retrieve and analyse data quickly.

Lastly, you’ll be working across the stack, to bring the right data into Snowflake, writing transformation into DBT and acting as an expert to the rest of the organisation to solve problems with data, or guide others to do so. This role is outcome-oriented, focused on impact, and suited for someone who thrives in fast-paced, collaborative environments.

Stack: DBT, Snowflake, Amplitude, Omni

We’d love to hear from you if:

• You've got 4+ years of experience working in analytics/data engineering, with a strong focus on enabling data use in product organizations
• You've got hands on experience with DBT, building and maintaining modular, scalable data models that follow best practices
• You’ve got advanced SQL knowledge, with experience writing efficient and well structured queries
• You know how to translate business requirements from non-technical data users, and downstream analytical teams into data pipelines
• You have a product mindset, worked closely with product teams and understand what insights can inflect a product trajectory
• You have the communication skills to work across an organisation to gather requirements, build consensus and evangelize the use of data
• You have a track record of being outcome-driven and can clearly articulate how your work created measurable impact

Our culture

At Synthesia we’re passionate about building, not talking, planning or politicising. We strive to hire the smartest, kindest and most unrelenting people and let them do their best work without distractions.

Our work principles serve as our charter for how we make decisions, give feedback and structure our work to empower everyone to go as fast as possible. You can find out more about these principles here.

The good stuff...

📍A hybrid or remote-friendly environment for candidates based in Europe. You can work fully remote if you're not local to an office or hybrid from London, Amsterdam, Munich, Zurich or Copenhagen offices.

💸 A competitive salary + stock options

🏝️ 25 days of annual leave + public holidays (plus the option to take 5 days unpaid leave and carry 5 days over)

🥳 You will join an established company culture with optional regular socials and company retreats

🍼 Paid parental leave entitling primary caregivers to 16 weeks of full pay, and secondary 5 weeks of full pay

👉 You can participate in a generous recruitment referral scheme if you help us to hire

💻 The equipment you need to be successful in your role

You can see more about who we are and how we work here: https://www.synthesia.io/careers