Analytics Engineer

AssemblyAI is growing quickly, and we’re searching for a driven Analytics Engineer to join our growing team! With significant investment and strong leadership to fuel our growth, it’s the perfect time to join the AssemblyAI team.

Responsibilities

In this role you’ll have the opportunity to:

Using advanced SQL, you will transform data from raw data sources into usable tables to power critical self-serve data artifacts and impactful analytics use cases (e.g. metrics, dashboards) to empower data consumers
Act as a leader in defining data infrastructure and logging needs in partnership with Data Engineering, Product Engineering, and Data Infrastructure teams
Apply software engineering best practices to the analytics workflow (ex: version control, testing)
Improve data availability, quality, and provide reliable access to data for the business
Implement exploration tools and dashboards to help cross-functional stakeholders glean insights for their functional area
Deliver insights through ad hoc analyses and data extractions to resolve important business needs
Identify process improvements, contribute to our documentation, and share best practices with the team and our end-users

Requirements

5+ years of professional experience as an analytics engineer, data analyst, product analyst, data engineer or data scientist
Expert in SQL
Hands-on experience with data infrastructure, data modeling and reporting in data visualization tools (Looker, Big Query preferred)
Strong written and verbal communication skills with the ability to explain technical concepts to a non-technical audience
Strong business acumen and product intuition
Experience using any of the following software/tools strongly preferred but not required: Github, Segment, BigQuery, dbt, Apache Airflow, Fivetran, Looker

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