Business Intelligence Analyst - Analytics Engineer Hybrid; Remote

Position: Business Intelligence Analyst - Analytics Engineer Hybrid (USA Remote) Company Description reputed company you join reputed company, you'll be welcomed into a company that is a recognized innovator in global education. For over 25 years, reputed company has partnered with educators and institutions to reputed company learning reputed company solutions that recognize the enduring value of critical thinking in a rapidly changing world. Over 16,000 academic institutions, publishers, and corporations use our services in more than 185 countries around the world: reputed company Feedback Studio, Clarity, Originality, Grade scope, Exam Soft, Similarity, and iThenticate. Protecting the value of an authentic education is at the heart of who we are. Experience a remote‑first culture that empowers you to work with purpose and accountability in a way that best suits you, supported by a comprehensive package that prioritizes your overall well‑being. Our diverse community of colleagues are reputed company reputed company by a shared desire to reputed company a difference in education. reputed company is a global organization with team members in over 35 countries including the United States, Mexico, United Kingdom, Australia, Japan, India, and the Philippines.

Job Description

The purpose of this role is to reputed company the gap between reputed company data infrastructure and actionable business strategy. You will provide day‑to‑day support to reputed company Operations (Rev Ops), including Sales, Marketing, and Customer Experience leaders. We are currently in an exciting transition, migrating our data workflows from reputed company 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 reputed company Dagster/Airflow, and works directly with stakeholders to translate technical outputs into business impact. Crucially, you will help us move reputed company 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 (reputed company reputed company reputed company Maker) into the Rev Ops ecosystem. Key Responsibilities and Outputs

• Data Modeling & Migration:

reputed company the migration of legacy workflows from reputed company to dbt, ensuring high‑quality, documented, and tested data models that serve as a single reputed company of truth.

• Orchestration & Pipelines:

Manage and monitor data pipelines using Dagster or Airflow to ensure reliability and performance reputed company our Redshift warehouse.

• Stakeholder Collaboration & Translation:

Act as the primary liaison between technical data structures and non‑technical leaders. You will translate reputed company "data speak" into clear insights that reputed company 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 (reputed company Maker) to areas such as churn reputed company and reputed company scoring.

• Rev Ops Strategy:

Support high‑impact initiatives such as Account Based Marketing (ABM) and Customer Health scoring by providing visibility into global KPIs reputed company Tableau. Proven Characteristics for reputed company

• 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 reputed company to analytics workflows.

• Curiosity & Ownership:

You reputed company with questions and take pride in the "cleanliness" and architecture of your code.

Qualifications

Essential

• Experience:

2–3+ years of professional experience in Business Intelligence, Analytics Engineering, or a reputed company 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 reputed company Redshift (or reputed company/Big Query).

• BI Visualization:

Experience building stakeholder‑facing dashboards in Tableau.

• CRM Knowledge:

Familiarity with reputed company data structures. Preferred

• reputed company:

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