Synthesia is hiring a

Senior Analytics Engineer

London, United Kingdom

​Hi there 👋🏻

You can continue reading or look at the video here (https://share.synthesia.io/8168eaa1-152a-49f5-956e-44e438812d0d)

TL:DR

🎬 We are making the future and changing everything we think we know about video production

📌 The role is remote

⚒ Stack: Segment, Fivetran, Snowflake, DBT, Census, Metabase

💸 The range for the position is GDP 70-110k + stock options 

👩‍💻 We’re looking for a star ⭐ Senior Analytics Engineer to seed our data function. 

🦄 We have a full war chest from our 50 million € Series B, and 70% of our clients are B2B, including a lot of Fortune 500 enterprises. We have a very high NPS of 71 and customer reviews of 4.8/5 on G2.

⬇ Bellow, you find much more info and the apply button ✅

Who we are

On a mission to make video easy for anyone …

Synthesia is the world’s #1 AI video generation platform. Well, it’s actually a video production studio — in a browser. As in, no cameras or film crews at all. You simply choose an avatar, enter your script in one of 60 languages, and your video is ready in minutes. In Synthesia, you can build personalised on-the-fly videos, give your chatbot a human face or run 24/7 weather channels in different languages, to name just a few of the possibilities. 🎬

We believe the future of media is synthetic, and we are on a mission to turn cameras into code and make everyone a creator. Not sure what we’re talking about? Check out our brand video that explains what we’re doing at Synthesia in a way that even our grandparents *kind of * understand what this AI video stuff is all about.

About the position

If you’re a talented data wiz looking for a big career breakthrough, this is it. A hot startup at the start of its inflection curve, with a solid infrastructure foundation and waiting for its first data hire.

You’ll own our data infrastructure and metrics. You’ll be responsible for gathering the requirements of the product and business side of the organization, and make sure our analytics assets evolve in line with the business, while ensuring a high level of cohesion and accessibility for all data consumers.

Initially, you’ll be a one person orchestra, 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 organization to solve problems with data, or guide others to do so.

Eventually, we expect you to define and hire to build up a data function at Synthesia. If you’ve worked in multiple organizations and always thought there was a better way to work with data, this is your chance to make it happen.

Requirements

  • You ideally have a minimum of 5+ years of experience working as an analytics engineer, data analyst and/or data engineer
  • You have experience working with Segment, Fivetran, Snowflake, DBT, Census, Metabase or equivalent
  • You’re an SQL and Python ace
  • You have experience architecting a data product
  • You have the communication skills to work across an organization to gather requirements, build consensus and evangelize the use of data
  • You know how to turn data into business value and have experience with data visualization
  • You have a product mindset and understand what insights can inflect a product trajectory

How we work

We don’t believe in process, we believe in talent. If we choose to hire you, it’ll be because we think you can teach us a lot. We’ll trust you to set the agenda for the data function, identifying the opportunities to make an impact with data and running the show to get there.

We don’t want you to field every data request that the business comes up with, which would turn you into a bottleneck. We want you to build the analytics layer that allows each function to easily get to the answers they need, while helping with the hardest and most interesting analytical questions. 

 

Our stack & current state

Our product is instrumented with Segment, we use Fivetran to move production data into Snowflake. We use cloud DBT to run our transformation pipeline. Our analytics tables are accessible through Metabase. We use census to push data back into Hubspot (marketing), Salesforce (sales) and Userflow (in product messaging).

Documentation is non-existent but the code is readable. Test coverage is there but could be better. Top level business KPIs are well defined and easily accessible through dashboards, although their logic sits in Metabase and should probably sit in DBT.

We think it’s a good foundation and that the stack can scale at least 10x, but you should know better so … what do you think we should do next?

The good stuff...

💸 You will be compensated well (salary + stock options + bonus)

🏝 You get 25 days of annual leave + public holidays in the country where you are based

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

🤩 You get 4 weeks paid sabbatical after 4 years at the company + $10,000!!

🍼 You get a paid parental leave

👉 You can participate in a generous referral scheme

💻 You get a brand new computer of your choice (if that still counts as a benefit in 2023 🤔)

🚀 You will have huge opportunities for your career growth

 

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