Lead Analytics Engineer, Moralis

• Above everything else, you are a smart and driven individual who wants to work at a company with other smart and driven colleagues
• Strong SQL knowledge, preferably with modern data warehouses like Snowflake, BigQuery or DataBricks
• Experience with data modeling tools like dbt, and how to run it in production
• Detail-oriented: You care about how individual data points combine to build the big picture
• Bias for action: you're able to work independently, and take ownership of your work
• Excellent communication skills, especially written. You're fluent in English

Desirable

• As a Lead Analytics Engineer, you’ll define how Moralis uses data for analytics
• You will collaborate with different teams, from engineering to sales
• You will learn their domain, identify what measurements need to be performed, define which metrics are most actionable, and prepare datasets that will be used to deliver reports, dashboards and deep-dive analysis
• Leadership: Build our analytics strategy, from improving our data maturity to managing the team’s backlog
• Mentorship: Provide guidance to the analytics engineering team. Help stakeholders across the company make data-informed decisions
• Build: apply software engineering best practices to our data models. New features developed as Merge Requests and deployed automatically with continuous integration. Provide clean reliable, and timely datasets
• Instrumentation: work together with the teams to capture the data we need, instead of hacking away with the data we have today. The data team owns the process and the product owns the implementation
• Data quality: Implement solutions to verify the data is correct and establish trust. No data is better than wrong data
• Problem-solving: proven track record of leveraging advanced analytics and problem-solving to drive data-driven solutions and optimize business outcomes.”