Business Intelligence Analyst (USA Remote)

Turnitin, LLC is a recognized innovator in global education, partnering with educators and institutions to develop learning integrity solutions. The Business Intelligence Analyst role focuses on bridging complex data infrastructure with actionable business strategy, supporting Revenue Operations through data modeling, orchestration, and collaboration with stakeholders.

Responsibilities:

• Lead the migration of legacy workflows from Alteryx to dbt, ensuring high-quality, documented, and tested data models that serve as a single source of truth
• Manage and monitor data pipelines using Dagster or Airflow to ensure reliability and performance within our Redshift warehouse
• Act as the primary liaison between technical data structures and non-technical leaders. You will translate complex "data speak" into clear insights that highlight ROI and business impact
• Actively explore and implement AI/LLM capabilities to enhance data discovery and predictive modeling. Collaborate with Product/Engineering to apply Machine Learning (SageMaker) to areas like churn prediction and lead scoring
• Support high-impact initiatives such as Account Based Marketing (ABM) and Customer Health scoring by providing visibility into globally symbols KPIs via Tableau

Requirements:

• 2–3+ years of professional experience in Business Intelligence, Analytics Engineering, or a related data role
• Proven experience building and maintaining production-grade data models using dbt
• Hands-on experience with Dagster or Airflow
• Advanced SQL skills and experience with Amazon Redshift (or Snowflake/BigQuery)
• Experience building stakeholder-facing dashboards in Tableau
• Familiarity with Salesforce data structures
• Experience with Alteryx (highly beneficial for supporting our migration to dbt)
• Experience with Python and a strong interest (or portfolio) in LLM applications and Machine Learning (Amazon SageMaker)
• Building advanced dashboards and experience with Tableau Online/Server
• Salesforce-specific data modeling experience
• Experience dealing with large (+1M rows) customer engagement datasets