Business Intelligence Analyst
Dallas, United States · Hybrid · Full-time
- Posted 1d ago
- From Turnitin, LLC’s careers page
- Location
- Dallas, United States
- Work mode
- Hybrid
- Type
- Full-time
- Experience
- 5+ years
- Department
- Data and Analytics
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About the role
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.
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.
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 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 will build robust data models in Redshift, orchestrate workflows via Dagster/Airflow, and work directly with stakeholders to translate technical outputs into business impact.
You will help us move beyond standard reporting, integrating 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, translating complex data into clear insights that highlight ROI and business impact.
- AI & Advanced Analytics: 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 initiatives such as Account Based Marketing (ABM) and Customer Health scoring by providing visibility into key 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 think 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: 5+ 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.
Additional Information
The expected annual base salary range for this position is $84,225/year to $140,375/year. This position is bonus eligible / commission-based.
Beyond compensation, you will also receive generous time off, health and wellness programs, and a remote-first culture.
Global Benefits include Health Care Coverage, Competitive Paid Time Off, Self-Care Days, National Holidays, Paid Volunteer Time Off, Charitable Contribution Match, Parental Leave, and a Retirement Plan with match/contribution.
Turnitin, LLC is an Equal Opportunity Employer- vets/disabled.
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About Turnitin, LLC
Help students do their best original workTurnitin provides tools that support original work and authentic learning, including services for responsible AI use in education.
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