Business Intelligence Analyst (Analytics Engineer)

Join Turnitin as a Business Intelligence Analyst (Analytics Engineer) and play a crucial role in bridging the gap between complex data infrastructure and actionable business strategy. You will support Revenue Operations (RevOps) and be at the intersection of data engineering and business analysis. Your responsibilities will include leading the migration of legacy workflows, managing data pipelines, collaborating with stakeholders, exploring AI capabilities, and supporting high-impact initiatives. Enjoy a range of benefits including social impact programs, remote-first working arrangements, and professional development opportunities.

• 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, translating complex "data speak" into clear insights that highlight ROI and business impact.

• SQL & Data Warehousing: Advanced SQL skills and experience with Amazon Redshift (or Snowflake/BigQuery)
• Impact-Focused: You don't just deliver data; you deliver the "so what?"
• Orchestration Tools: Hands-on experience with Dagster or Airflow
• CRM Knowledge: Familiarity with Salesforce data structures
• AI Enthusiast: You stay up to date with the latest in LLMs and are constantly thinking about how to apply generative AI to analytics workflows
• Experience: 5+ years of professional experience in Business Intelligence, Analytics Engineering, or a related data role
• Curiosity & Ownership: You lead with questions and take pride in the "cleanliness" and architecture of your code
• The "Technical Translator": You can explain a join or a latent variable to a Sales Director in a way that makes sense for their quota
• BI Visualization: Experience building stakeholder-facing dashboards in Tableau
• Dbt Expertise: Proven experience building and maintaining production-grade data models using dbt
• At Turnitin, we recognize it’s unrealistic for candidates to fulfill 100% of the criteria in a job ad. We encourage you to apply if you meet the majority of the requirements because we know that skills evolve over time. If you’re willing to learn and unleash your potential alongside us, join our team!
• Data Modeling: Salesforce-specific data modeling experience
• Alteryx: Experience with Alteryx (highly beneficial for supporting our migration to dbt)
• Big Data: Experience dealing with large (+1M rows) customer engagement datasets
• AI/ML: Experience with Python and a strong interest (or portfolio) in LLM applications and Machine Learning (Amazon SageMaker)
• Advanced Tableau: Building advanced dashboards and experience with Tableau Online/Server