-
Transform how the legal industry operates with the way you use our data
-
Building all your own pipes, transformations and flows - working with a modern data stack of your choice (inc. dbt) to transform data into business value
-
Autonomously work from deep data analysis to providing strategic, commercial and customer insights
Your purpose in our mission
We’ve raised $17.8 million in Series A funding led by Google Ventures and joined by Khosla Ventures. They believe in our vision that the law should be accessible to everyone. We need you to enable a self-service data culture where teams can access insights independently.
Your manager and team
Our org structure is made up of pods with distinct areas of focus to keep us all working on the most impactful things for our customers all of the time. Some of our team members work across multiple pods. Our structure was conceived with impact, autonomy and velocity in mind and we'd love to share more with you throughout our interview process. Initially reporting to Alex Denne, our Head of Growth (PLG), you’ll be empowered to elevate Genie through the power of data. Both Alex and Nitish, our Co-Founder & CTO will collaborate with you and enable you when you need them to, and will inspire you to push yourself outside your comfort zone.
This is what you’ll be doing
As a Senior Analytics Engineer at Genie AI you’ll get the chance to immerse yourself within the world of law, legal contracts and AI at a fast paced and autonomous start up. We’re big enough to disrupt the legaltech industry, but small enough that you can make a massive impact on the team. Some of your key day to day duties will include:
-
Design, build, and maintain the data models which power business insights
-
Develop metrics frameworks and dimensions that standardize how we measure business performance
-
Work with stakeholders across marketing, sales, product, and operations and machine learning to translate business questions into data solutions
-
Enable key stakeholders to share and present data insights across the business
-
Enabling robust experimental results that removes opinion from discussion - this will ensure high impact growth / work is done
-
Build and maintain a semantic layer that makes data accessible to non-technical users
-
Create documentation and training to enable self-service analytics across teams
-
Imp