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Business Intelligence Analyst - Analytics Engineer Hybrid (USA Remote)

Turnitin - Dallas, TX, United States - Hybrid - posted 2026-10-12

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Salary: USD 84,225 - 140,375 / annual

Turnitin is seeking a Business Intelligence Analyst - Analytics Engineer to bridge complex data infrastructure and actionable business strategy. You will provide day-to-day support to Revenue Operations (RevOps), including Sales, Marketing, and Customer Experience leaders. The company is in an exciting transition, migrating data workflows from Alteryx to dbt. In this role, you will sit at the intersection of data engineering and business analysis—not just building dashboards, but architecting robust data models in Redshift, orchestrating workflows via Dagster/Airflow, and translating technical outputs into business impact for stakeholders. You will help move beyond standard reporting by exploring AI and LLM capabilities, integrating predictive analytics and machine learning (via Amazon SageMaker) into the RevOps ecosystem. Key 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 Redshift warehouse - Act as the primary liaison between technical data structures and non-technical leaders, translating complex insights into clear business impact and ROI - 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 RevOps initiatives such as Account Based Marketing (ABM) and Customer Health scoring by providing visibility into global KPIs via Tableau Required Qualifications: - 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/BigQuery) - Experience building stakeholder-facing dashboards in Tableau - Familiarity with Salesforce data structures Preferred Qualifications: - Experience with Alteryx (highly beneficial for supporting migration to dbt) - Experience with Python and strong interest or portfolio in LLM applications and Machine Learning (Amazon SageMaker) - Advanced Tableau skills including Tableau Online/Server - Salesforce-specific data modeling experience - Experience dealing with large (+1M rows) customer engagement datasets

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