Skip to content

Business Intelligence Analyst - Analytics Engineer

Turnitin LogoTurnitin
Apply View Organization

Salary

$84,225/year to $140,375/year

Location

Hybrid (USA Remote)

Posted

Today

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 and 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 and pipelines: Manage and monitor data pipelines using Dagster or Airflow to ensure reliability and performance within our Redshift warehouse.
  • Stakeholder collaboration and translation: Act as the primary liaison between technical data structures and non-technical leaders. Translate complex "data speak" into clear insights that highlight ROI and business impact.
  • AI and 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 significant 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 and ownership: You lead with questions and take pride in the cleanliness and architecture of your code.

Qualifications

Essential

  • 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.

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.

‌