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TurnItIn

Business Intelligence Analyst, Revenue Operations

TurnItIn
🇺🇸Remote - Mumbai$75K–$110K/yri1d ago
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Role Snapshot

Lead the modernization of Turnitin's Revenue Operations analytics foundation by migrating legacy workflows to governed dbt models on Redshift, building a trusted consolidated view of business data for Sales, Marketing, Customer Experience, and Finance teams.

Key Responsibilities: Own the design, migration, and maintenance of dbt models and data pipelines on Redshift; manage orchestration and monitoring in Dagster/Airflow; trace data issues to root cause and route fixes appropriately; build data foundations for RevOps initiatives including account-based marketing, customer health scoring, churn prediction, and lead scoring.
Skills & Tools: Expert proficiency in dbt, SQL, and Redshift; strong experience with data orchestration tools (Dagster or Airflow); ability to design data models with clear lineage and grain; experience with data quality testing and monitoring; understanding of RevOps and business metrics; thoughtful application of AI/LLM tools in data engineering workflows.
Qualifications: 5+ years of experience in data engineering or analytics engineering with demonstrated expertise in modern data stack tools; proven track record of leading data platform migrations and building scalable data foundations; strong understanding of revenue operations and business metrics interpretation.
Location: Remote - Mumbai
Compensation: $75K–$110K/yr (estimated)

Job Description

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.

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