EdTech Jobs
TurnItIn

Analytics Engineer, Revenue Operations

TurnItIn
🇵🇭Remote - Manila, Philippines₱900K–₱1.4M/yri8h ago
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Role Snapshot

Lead the modernization of Turnitin's Revenue Operations analytics foundation by architecting and maintaining governed dbt models on Redshift that serve as the single source of truth for Sales, Marketing, Customer Experience, and Finance. This early-stage function offers significant influence over how the analytics platform is built and scaled.

Key Responsibilities: Migrate legacy Alteryx workflows to documented, tested dbt models; design data models with clear lineage and grain; own orchestration and monitoring in Dagster/Airflow; optimize Redshift performance and cost; investigate and resolve data issues across reporting, modeling, and upstream processes; build data foundations for RevOps initiatives like account-based marketing and churn prediction.
Skills & Tools: Advanced proficiency with dbt, Redshift, SQL, and data modeling; experience with orchestration tools (Dagster or Airflow); strong analytical thinking to validate requirements against business outcomes; ability to work independently on early-stage functions; familiarity with RevOps concepts and thoughtful application of AI/LLM tools in data engineering workflows.
Qualifications: 5+ years of analytics engineering or data engineering experience with demonstrated expertise in building data models and pipelines at scale; proven track record modernizing legacy analytics systems; understanding of revenue operations, sales analytics, or similar business domains preferred.
Location: Remote - Manila, Philippines
Compensation: ₱900K–₱1.4M/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.