Business Intelligence Analyst - Analytics Engineer Hybrid (USA Remote)
About The Position
Turnitin is hiring a Business Intelligence Analyst to bridge complex data infrastructure and actionable business strategy, providing day-to-day support to Revenue Operations, including Sales, Marketing, and Customer Experience leaders. The role sits at the intersection of data engineering and business analysis and involves building robust data models in Redshift, orchestrating workflows, and translating technical outputs into business impact. Turnitin is migrating data workflows from Alteryx to dbt. The analyst will support this transition while building reliable, documented, and tested data models, maintaining pipelines, and helping establish a single source of truth. The role also focuses on moving beyond standard reporting by exploring AI and LLM capabilities, predictive analytics, and machine learning applications in the RevOps ecosystem. This is a remote-first role supporting global education. The expected annual base salary range is $84,225 to $140,375, and the position is bonus eligible or commission-based. Compensation depends on work location and other relevant factors.
Requirements
- At least 5 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 or BigQuery.
- Experience building stakeholder-facing dashboards in Tableau.
- Familiarity with Salesforce data structures.
Nice To Haves
- Experience with Alteryx, particularly to support migration to dbt.
- Experience with Python and a strong interest in or portfolio of LLM applications and Machine Learning, including Amazon SageMaker.
- Experience building advanced dashboards and using Tableau Online or Tableau Server.
- Salesforce-specific data modeling experience.
- Experience working with large customer engagement datasets of more than 1 million rows.
Responsibilities
- Lead migration of legacy workflows from Alteryx to dbt, ensuring data models are high-quality, documented, tested, and serve as a single source of truth.
- Manage and monitor data pipelines using Dagster or Airflow to ensure reliability and performance within the Redshift warehouse.
- Serve as a liaison between technical data structures and non-technical leaders, translating complex data into clear insights about ROI and business impact.
- Explore and implement AI and LLM capabilities to enhance data discovery and predictive modeling.
- Collaborate with Product and Engineering to apply machine learning through SageMaker to use cases such as churn prediction and lead scoring.
- Support initiatives such as Account Based Marketing and Customer Health scoring by providing visibility into global KPIs through Tableau.
Benefits
- Generous time off and health and wellness programs.
- Health care coverage.
- Education reimbursement.
- Competitive paid time off.
- Self-care days.
- National holidays.
- Two Founder Days and Juneteenth observed.
- Paid volunteer time off.
- Charitable contribution match.
- Monthly wellness or home office reimbursement.
- Access to an employee assistance program and mental health platform.
- Parental leave.
- Retirement plan with match or contribution.
- Bonus-eligible or commission-based compensation.
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What This Job Offers
Job Type
Full-time
Career Level
Mid Level
Education Level
No Education Listed
