Business Intelligence Analyst - Analytics Engineer Hybrid (USA Remote)
About The Position
Turnitin is seeking 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, managing data workflows, and translating technical outputs into business impact. Turnitin is migrating data workflows from Alteryx to dbt. The analyst will lead this migration, develop documented and tested models in Redshift, and manage pipeline orchestration with Dagster or Airflow. The role also supports RevOps initiatives such as Account Based Marketing and Customer Health scoring, with global KPI visibility through Tableau. The analyst will explore AI and LLM capabilities for data discovery and predictive modeling, and collaborate with Product and Engineering to apply machine learning through Amazon SageMaker to use cases such as churn prediction and lead scoring. Turnitin describes itself as a remote-first, global education technology company serving academic institutions, publishers, and corporations worldwide.
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, Snowflake, or BigQuery.
- Experience building stakeholder-facing dashboards in Tableau.
- Familiarity with Salesforce data structures.
Nice To Haves
- Experience with Alteryx.
- 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 the migration of legacy workflows from Alteryx to dbt, creating high-quality, documented, and tested data models that provide a single source of truth.
- Manage and monitor data pipelines using Dagster or Airflow to support reliability and performance in the Redshift warehouse.
- Serve as a liaison between technical data structures and non-technical leaders, translating 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 Amazon SageMaker to use cases such as churn prediction and lead scoring.
- Support RevOps initiatives, including Account Based Marketing and Customer Health scoring, by providing visibility into global KPIs through Tableau.
Benefits
- Generous time off and health and wellness programs.
- Remote-first culture.
- 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 / commission-based compensation.
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What This Job Offers
Job Type
Full-time
Career Level
Mid Level
Education Level
No Education Listed
