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Turnitin

Turnitin is a global software development company in the education sector working to ensure the integrity of education and research, and to meaningfully improve learning outcomes.

Business Intelligence Analyst - Analytics Engineer Hybrid

Location

United States

Posted

72 days ago

Salary

$84.2K - $140.4K / year

Seniority

Mid Level

Job Description

Business Intelligence Analyst - Analytics Engineer Hybrid

Turnitin

Role 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 - 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. Benefits - 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 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. Actual compensation will be provided in writing at the time of offer, if extended, and is determined by work location and a range of other relevant factors, including but not limited to: experience, skills, degrees, licensures, certifications, and other job-related factors. Internal equity, market and organizational factors are also considered. Seeing Beyond the Job Ad At Turnitin, we recognize it’s unrealistic for candidates to fulfill 100% of the criteria in a job ad. We encourage you to apply if you meet the majority of the requirements because we know that skills evolve over time. If you’re willing to learn and unleash your potential alongside us, join our team! Turnitin, LLC is an Equal Opportunity Employer- vets/disabled.

Job Requirements

  • 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.

Benefits

  • 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
  • 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. Actual compensation will be provided in writing at the time of offer, if extended, and is determined by work location and a range of other relevant factors, including but not limited to: experience, skills, degrees, licensures, certifications, and other job-related factors. Internal equity, market and organizational factors are also considered.
  • Seeing Beyond the Job Ad
  • At Turnitin, we recognize it’s unrealistic for candidates to fulfill 100% of the criteria in a job ad. We encourage you to apply if you meet the majority of the requirements because we know that skills evolve over time. If you’re willing to learn and unleash your potential alongside us, join our team!
  • Turnitin, LLC is an Equal Opportunity Employer- vets/disabled.

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