Business Intelligence Analyst - Analytics Engineer

🇺🇸Remote - Dallas, TX$85K–$130K/yri4h ago

Corporate Data & Analytics Business Intelligence Data Engineering Analytics Machine Learning Revenue Operations

Role Snapshot

This hybrid Analytics Engineer role at Turnitin supports Revenue Operations by migrating legacy Alteryx workflows to dbt and building trusted data models in Redshift. The position turns data into business strategy and explores AI/ML applications such as churn prediction and lead scoring.

Key Responsibilities: Lead the migration from Alteryx to dbt, build and monitor pipelines with Dagster or Airflow, translate technical data for Sales, Marketing, and CX leaders, and deliver Tableau KPI visibility for ABM and customer health initiatives. Also explore AI/LLM and SageMaker-based predictive analytics.

Skills & Tools: Strong SQL and dbt data modeling, Redshift, workflow orchestration (Dagster/Airflow), and Tableau, plus the ability to explain complex data concepts to non-technical executives. Interest in generative AI, LLMs, and machine learning, along with code quality and documentation discipline, is expected.

Qualifications: Experience in analytics engineering, BI, or data engineering with hands-on work in modern data stack tools. Specific degree and years of experience requirements were not detailed in the posting.

Location: Remote - Dallas, TX

Compensation: $85K–$130K/yr (estimated)

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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.