At a Glance
- Tasks: Transform raw data into insightful models and metrics for product decision-making.
- Company: Join Synthesia, the leading AI video platform trusted by Fortune 100 companies.
- Benefits: Competitive salary, stock options, 25 days leave, and paid parental leave.
- Other info: Collaborative culture with opportunities for remote work across Europe.
- Why this job: Be a key player in shaping data strategies at a high-growth tech company.
- Qualifications: 6+ years in analytics engineering, strong SQL skills, and experience with dbt.
The predicted salary is between 70000 - 90000 £ per year.
Synthesia is the world’s leading AI video platform for business, used by over 90% of the Fortune 100. Founded in 2017, the company is headquartered in London, with offices and teams across Europe and the US. As AI continues to shape the way we live and work, Synthesia develops products to enhance visual communication and enterprise skill development, helping people work better and stay at the center of successful organizations.
About the role
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.
What you’ll be doing
- 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
About the setup
- 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
We’d love to hear from you if
- You have 6+ 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 the business
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.
The good stuff...
- Our preference is for this role to be based either in-office or remote in the following locations: UK, Germany, Switzerland or Ireland. We may also be able to support remote workers in other locations across Europe subject to compliance and right to work checks.
- 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
Senior Analytics Engineer: Data Modeling & Metrics employer: Synthesia
At Synthesia, we pride ourselves on being a forward-thinking employer that champions innovation and collaboration. Our dynamic work culture fosters creativity and empowers employees to take ownership of their projects, while our commitment to professional growth ensures that you will have ample opportunities to develop your skills in a high-impact role. With competitive salaries, generous leave policies, and a supportive environment, working at our London headquarters or remotely across Europe offers a unique chance to be part of a leading AI video platform that is shaping the future of visual communication.
StudySmarter Expert Advice🤫
We think this is how you could land Senior Analytics Engineer: Data Modeling & Metrics
✨Tip Number 1
Network like a pro! Reach out to current employees at Synthesia on LinkedIn or other platforms. Ask them about their experiences and any tips they might have for landing the role. Personal connections can make a huge difference!
✨Tip Number 2
Prepare for the interview by diving deep into Synthesia's products and values. Understand how your skills in analytics engineering can directly impact their mission. Show them you’re not just another candidate, but someone who truly gets what they do.
✨Tip Number 3
Practice your technical skills! Be ready to showcase your SQL prowess and dbt knowledge during technical interviews. Consider doing mock interviews with friends or using online platforms to sharpen your skills.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen. Plus, it shows you’re genuinely interested in being part of the Synthesia team. Let’s get you that dream job!
We think you need these skills to ace Senior Analytics Engineer: Data Modeling & Metrics
Some tips for your application 🫡
Tailor Your Application:Make sure to customise your CV and cover letter for the Senior Analytics Engineer role. Highlight your experience with dbt, SQL, and any relevant projects that showcase your ability to build scalable data models. We want to see how your skills align with what we’re looking for!
Showcase Your Impact:When detailing your past experiences, focus on the impact your work has had. Use metrics and examples to illustrate how your contributions have driven results in previous roles. This helps us understand the value you can bring to our team.
Be Clear and Concise:Keep your application clear and to the point. Avoid jargon and ensure your writing is easy to read. We appreciate straightforward communication, so make it easy for us to see your qualifications and enthusiasm for the role.
Apply Through Our Website:Don’t forget to submit your application through our website! It’s the best way for us to receive your details and ensures you’re considered for the role. Plus, it shows you’re keen on joining our team at Synthesia!
How to prepare for a job interview at Synthesia
✨Know Your Data Inside Out
Before the interview, dive deep into your past projects involving data modelling and analytics. Be ready to discuss specific examples where you transformed raw data into actionable insights, especially using dbt. This will show your hands-on experience and understanding of the tools they'll be using.
✨Understand Their Product and Metrics
Familiarise yourself with Synthesia's products and how they leverage data for decision-making. Think about how you can contribute to their analytics foundations and be prepared to discuss how you would approach building scalable data models that align with their product needs.
✨Showcase Your Collaboration Skills
Since this role involves working closely with Product, Analytics, and Engineering teams, be ready to share examples of how you've successfully collaborated in the past. Highlight your ability to translate ambiguous questions into clear data requirements, demonstrating your strong communication skills.
✨Emphasise Data Quality and Trust
Synthesia values data quality and clarity, so come prepared to discuss how you've established data quality standards in your previous roles. Share specific strategies you've implemented to ensure data accuracy and reliability, as this will resonate well with their focus on trust in data.
