Analytics Engineer, Revenue Operations

Turnitin's Revenue Operations team is modernizing its analytics foundation — moving to governed dbt models on Redshift and building a trusted, consolidated view of the business for Sales, Marketing, Customer Experience, and Finance.

You own the models, pipelines, and tests that everything downstream depends on. You're not a ticket-taker: we expect you to understand why a metric matters before you model it, and to say so when the requirement as stated will produce a number that's technically correct and practically wrong.

This is an early-stage function, so you'll have unusual influence over how it's built.

What You'll Do:

• Lead the migration of legacy Alteryx workflows into documented, tested dbt models on Redshift.
• Design models with deliberate grain and clear lineage, building toward a certified set of marts that reporting reads from.
• Own orchestration, monitoring, and alerting in Dagster (or Airflow), and the ingestion layer feeding it.
• Keep Redshift fast and cost-effective.
• Trace issues to the right root cause — reporting, data model, or upstream business process — and route each to the right fix.
• Build the data foundations behind RevOps initiatives such as account-based marketing, customer health scoring, and predictive work like churn and lead scoring.
• Use AI and LLM tooling thoughtfully in the engineering workflow, and help the team form a view on where it belongs.