Business Intelligence Analyst - Analytics Engineer Hybrid (USA Remote)
$84K/yr – $140K/yr
You'll complete your application on the employer's website.
$84K/yr – $140K/yr
You'll complete your application on the employer's website.
Job type
Salary
$84K/yr – $140K/yr
Location
Sector
Posted
21 days ago
Turnitin is hiring a Business Intelligence Analyst - Analytics Engineer to connect complex data infrastructure with business strategy and support Revenue Operations leaders. The role focuses on migrating and modeling data, managing pipelines, translating analysis into business insights, and applying AI and predictive analytics to RevOps.
Responsibilities
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
Preferred
Experience with Alteryx (highly beneficial for supporting our migration to dbt)
Experience with Python and a strong interest (or portfolio) in LLM applications and Machine Learning (Amazon SageMaker)
Building advanced dashboards and experience with Tableau Online/Server
Salesforce-specific data modeling experience
Experience dealing with large (+1M rows) customer engagement datasets
Alteryx
Python
LLM Applications
Machine Learning
Amazon SageMaker
Advanced Dashboard Development
Tableau Online
Tableau Server
Salesforce Data Modeling
Large-Scale Customer Engagement Data
Benefits
This position is bonus eligible / commission-based.
Remote First Culture
Health Care Coverage
Education Reimbursement
Competitive Paid Time Off
Self-Care Days
National Holidays
2 Founder Days + Juneteenth Observed
Paid Volunteer Time Off
Charitable Contribution Match
Monthly Wellness or Home Office Reimbursement
Access to Employee Assistance Program (mental health platform)
Parental Leave
Retirement Plan with match/contribution
Company
Academic integrity and assessment software for education
Oakland, California, USA
http://www.turnitin.com/
Founded in 1996
501-1000 employees
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
Experience with Alteryx (highly beneficial for supporting our migration to dbt)
Experience with Python and a strong interest (or portfolio) in LLM applications and Machine Learning (Amazon SageMaker)
Building advanced dashboards and experience with Tableau Online/Server
Salesforce-specific data modeling experience
Experience dealing with large (+1M rows) customer engagement datasets
5+ years of professional experience in Business Intelligence, Analytics Engineering, or a related data role.
Required skills
dbt, Dagster, Airflow, SQL, Amazon Redshift, Snowflake, BigQuery, Tableau, Salesforce, Alteryx, Python, Machine Learning, Amazon SageMaker, LLM Applications
Preferred skills
Salesforce-specific data modeling experience
Experience
5+ years
Interested in this role?
Apply directly on the employer's website — it only takes a few minutes.
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