• 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

THE IDEAL CANDIDATE WILL HAVE 2 YEARS+ EXPERIENCE AND:

• Advanced SQL: Expert-level SQL for complex data modeling and transformation
• Data modeling/transformation: Strong experience with dbt for transforming raw data into analytics-ready datasets
• Cloud data warehouses: Experience with BigQuery (preferred) or Snowflake/Redshift
• Business communication: Proven ability to translate data insights into business outcomes
• Data visualization: Experience creating intuitive dashboards that tell clear data stories
• BI tools: Proficiency with modern tools like Looker, Holistics, PowerBI or Tableau
• Metrics definition: Experience defining standardized business metrics and dimensions
• Python: Basic programming skills for data transformation and analysis
• Version control: Experience with Git for managing data transformation code
• Product Analytics: Experience with tools like Segment, Snowplow, Mixpanel or Amplitude

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.

THIS IS WHAT YOU’LL BE DOING

As an 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 legal 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
• Creation of a unified customer data model that connects behavior across platforms and enables personalization within both growth and marketing comms, and product/ML via AI
• 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
• Help establish data governance and quality practices as we scale
• Create documentation and training to enable self-service analytics across teams
• Implement and maintain dbt models that transform our raw data into reliable, tested datasets