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TurnItIn

Business Intelligence Analyst, Revenue Operations

TurnItIn
🇵🇭Remote - Manila, Philippines₱720K–₱1.1M/yri11h 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 cross-functional teams. Own the end-to-end data pipeline—from ingestion through orchestration to reporting—with unusual influence over how the analytics function is architected from the ground up.

Key Responsibilities: Migrate Alteryx workflows into documented, tested dbt models; design data models with clear lineage and grain; own orchestration, monitoring, and alerting in Dagster/Airflow; optimize Redshift performance and costs; troubleshoot issues across reporting, models, and business processes; build data foundations for RevOps initiatives like ABM and churn prediction.
Skills & Tools: Expert proficiency in dbt, Redshift, and data modeling; strong experience with Dagster or Airflow orchestration; SQL mastery and data warehouse optimization; ability to translate business requirements into technically correct models; familiarity with AI/LLM tooling in data engineering; strong analytical and communication skills to influence cross-functional stakeholders.
Qualifications: 5+ years of data engineering or analytics engineering experience with demonstrated expertise in building scalable data pipelines and dbt models; proven experience in revenue operations, business intelligence, or similar data-driven roles; familiarity with cloud data warehouses (Redshift preferred) and modern data stack tools.
Location: Remote - Manila, Philippines
Compensation: ₱720K–₱1.1M/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.