Senior Analytics Engineer
Senior Analytics Engineer

Senior Analytics Engineer

Full-Time 48000 - 84000 £ / year (est.) Home office (partial)
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At a Glance

  • Tasks: Transform raw product data into trusted datasets and metrics for impactful decision-making.
  • Company: Join Synthesia, the leading AI video platform valued at $4 billion.
  • Benefits: Enjoy competitive salary, stock options, 25 days leave, and remote work flexibility.
  • Why this job: Make a real impact in a high-growth environment with cutting-edge technology.
  • Qualifications: 4+ years in analytics engineering, strong SQL skills, and a product mindset.
  • Other info: Collaborative culture focused on building and empowering teams.

The predicted salary is between 48000 - 84000 £ 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.

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.

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.

We’d love to hear from you if:

  • 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 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:

  • A hybrid or remote-friendly environment for candidates based in Europe.
  • 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 employer: Synthesia

At Synthesia, we pride ourselves on being a forward-thinking employer that champions innovation and collaboration. Our London-based team enjoys a hybrid work environment, competitive salaries with stock options, and generous leave policies, all while contributing to a culture that values smart, kind, and driven individuals. With ample opportunities for professional growth and a commitment to data quality and impactful outcomes, joining us as a Senior Analytics Engineer means becoming part of a dynamic company at the forefront of AI technology.
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Contact Detail:

Synthesia Recruiting Team

StudySmarter Expert Advice 🤫

We think this is how you could land Senior Analytics Engineer

✨Tip Number 1

Network like a pro! Reach out to current employees at Synthesia on LinkedIn or other platforms. A friendly chat can give you insider info and might just get your application noticed.

✨Tip Number 2

Show off your skills! If you have a portfolio or any projects that highlight your analytics engineering prowess, make sure to share them during interviews. Real-world examples can set you apart from the crowd.

✨Tip Number 3

Prepare for the technical side! Brush up on your SQL and dbt skills, as you’ll likely face some practical tests. Being confident in your technical abilities will help you shine during the interview process.

✨Tip Number 4

Don’t forget to apply through our website! It’s the best way to ensure your application gets into the right hands. Plus, it shows you’re genuinely interested in joining the team at Synthesia.

We think you need these skills to ace Senior Analytics Engineer

Analytics Engineering
Data Engineering
dbt
SQL
Data Modelling
Data Quality Assurance
Data Pipeline Development
Metric Definition
Collaboration
Product Mindset
Data Transformation
Data Documentation
Problem-Solving
Outcome-Driven Approach

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 you can fit into our team!

Showcase Your Impact: When detailing your past experiences, focus on the outcomes of your work. Use specific examples to illustrate how your contributions have influenced product direction or improved data quality. We love seeing the tangible impact you've made!

Be Clear and Concise: Keep your application clear and to the point. Avoid jargon and ensure your writing is easy to understand. 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. We can’t wait to hear from you!

How to prepare for a job interview at Synthesia

✨Know Your Data Models

Make sure you’re well-versed in the data models and metrics relevant to the role. Be prepared to discuss how you’ve designed scalable, maintainable models in your previous roles, especially using dbt. This will show that you understand the core responsibilities of an Analytics Engineer.

✨Showcase Your SQL Skills

Brush up on your SQL skills before the interview. Be ready to demonstrate your ability to write advanced queries and explain how they can be used to transform raw data into actionable insights. This is crucial for proving your technical expertise.

✨Understand the Business Impact

Be prepared to articulate how your work has influenced product direction and decision-making in past roles. Synthesia values outcome-driven candidates, so sharing specific examples of how your analytics work led to tangible business results will set you apart.

✨Emphasise Collaboration

Since the role involves working closely with Product, Analytics, and Engineering teams, highlight your experience in collaborative environments. Share examples of how you’ve partnered with cross-functional teams to address data needs and solve complex problems.

Senior Analytics Engineer
Synthesia

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