Business Intelligence Analyst - Analytics Engineer Hybrid (USA Remote)

Turnitin • Dallas, TX

1d • Remote

About The Position

Turnitin is hiring a Business Intelligence Analyst to bridge complex data infrastructure and business strategy while supporting Revenue Operations, including Sales, Marketing, and Customer Experience leaders. The role combines data engineering and business analysis, with a focus on building robust data models, orchestrating reliable workflows, and translating technical findings into clear business impact.

The successful candidate will help migrate data workflows from Alteryx to dbt, work with the Redshift data warehouse and Dagster or Airflow, and provide actionable reporting and insights through Tableau. The role also supports the adoption of AI, LLM capabilities, predictive analytics, and machine learning in the RevOps ecosystem, including applications such as churn prediction and lead scoring.

This is a remote-first position open in the USA. The expected annual base salary range is $84,225 to $140,375, and the position is bonus eligible or commission-based. Compensation is determined by work location and other relevant factors, including experience, skills, education, and job-related qualifications.

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.
• Experience with Amazon Redshift or another data warehouse such as Snowflake or BigQuery.
• Experience building stakeholder-facing dashboards in Tableau.
• Familiarity with Salesforce data structures.

Nice To Haves

• Experience with Alteryx, particularly to support the migration to dbt.
• Experience with Python and a strong interest in, or portfolio of, LLM applications and machine learning, including Amazon SageMaker.
• Experience building advanced Tableau 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, producing 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 in the Redshift warehouse.
• Serve as a liaison between technical data structures and non-technical leaders, translating complex data into clear insights about ROI and business impact.
• Explore and implement AI and LLM capabilities to improve 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 such as Account Based Marketing and Customer Health scoring by providing visibility into global KPIs through Tableau.
• Provide day-to-day support to Revenue Operations, including Sales, Marketing, and Customer Experience leaders.

Benefits

• Generous time off and health and wellness programs.
• 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.
• Remote-first culture.

What This Job Offers

• Job Type: Full-time
• Career Level: Senior
• Education Level: No Education Listed