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Business Intelligence Analyst - Analytics Engineer Hybrid (USA Remote)

May 15, 2026

Company Description

When you join Turnitin, you'll be welcomed into a company that is a recognized innovator in global education. For over 25 years, Turnitin has partnered with educators and institutions to develop learning integrity solutions that recognize the enduring value of critical thinking in a rapidly changing world. Over 16,000 academic institutions, publishers, and corporations use our services in more than 185 countries around the world: Turnitin Feedback Studio, Clarity, Originality, Gradescope, ExamSoft, Similarity, and iThenticate. Protecting the value of an authentic education is at the heart of who we are.

Experience a remote-first culture that empowers you to work with purpose and accountability in a way that best suits you, supported by a comprehensive package that prioritizes your overall well-being. Our diverse community of colleagues are all unified by a shared desire to make a difference in education.

Turnitin is a global organization with team members in over 35 countries including the United States, Mexico, United Kingdom, Australia, Japan, India, and the Philippines.

Job Description

The purpose of this role is to bridge the gap between 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.

We are currently in an exciting transition, migrating our data workflows from Alteryx to dbt. As a BI Analyst, you will sit at the intersection of data engineering and business analysis. You aren't just a "dashboard builder"; you are an Analytics Engineer who builds robust data models in Redshift, orchestrates workflows via Dagster/Airflow, and works directly with stakeholders to translate technical outputs into business impact.

Crucially, you will help us move beyond standard reporting. We are looking for someone genuinely excited about the frontier of AI and LLM capabilities, helping us integrate predictive analytics and machine learning (via Amazon SageMaker) into the RevOps ecosystem.

Key Responsibilities and Outputs
Data Modeling & Migration: 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.
Orchestration & Pipelines: Manage and monitor data pipelines using Dagster or Airflow to ensure reliability and performance within our Redshift warehouse.
Stakeholder Collaboration & Translation: 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.
AI & Advanced Analytics: 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.
RevOps Strategy: Support high-impact initiatives such as Account Based Marketing (ABM) and Customer Health scoring by providing visibility into globally symbols KPIs via Tableau.

Proven Characteristics for Success
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.
Impact-Focused: You don't just deliver data; you deliver the "so what?"
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.
Curiosity & Ownership: You lead with questions and take pride in the "cleanliness" and architecture of your code.

Qualifications

Essential
Experience: 2–3+ years of professional experience in Business Intelligence, Analytics Engineering, or a related data role.
dbt Expertise: Proven experience building and maintaining production-grade data models using dbt.
Orchestration Tools: Hands-on experience with Dagster or Airflow.
SQL & Data Warehousing: Advanced SQL skills and experience with Amazon Redshift (or Snowflake/BigQuery).
BI Visualization: Experience building stakeholder-facing dashboards in Tableau.
CRM Knowledge: Familiarity with Salesforce data structures.

Preferred
Alteryx: Experience with Alteryx (highly beneficial for supporting our migration to dbt).
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.
Data Modeling: Salesforce-specific data modeling experience.
Big Data: Experience dealing with large (+1M rows) customer engagement datasets.

Additi

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Common Interview Questions And Answers

1. HOW DO YOU PLAN YOUR DAY?

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