Business Intelligence Analyst; Analytics Engineer Job Bloomington Illinois USA,IT/Tech

Position: Business Intelligence Analyst (Analytics Engineer)

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 (Rev Ops), 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 Sage Maker) into the Rev Ops ecosystem
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 (Sage Maker) to areas like churn prediction and lead scoring
Rev Ops Strategy:
Support high-impact initiatives such as Account Based Marketing (ABM) and Customer Health scoring by providing visibility into globally symbols KPIs via Tableau

Benefits

Social impact programs
Charity donation matching
Paid volunteer days
Employee Resource Groups
Great Place To Work community
Virtual and in-person team events
Tuition reimbursement
Action & Ownership recognition
Focused development plan
Access to Linked In Learning
Annual learning festival
Remote-first working arrangements
Mental health & coaching support
Wellness/Home office allowance
Company & national holidays
Self-care days

SQL & Data Warehousing:
Advanced SQL skills and experience with Amazon Redshift (or Snowflake/Big Query)
Impact-Focused:
You don’t just deliver data; you deliver the “so what?”
Orchestration Tools:
Hands-on experience with Dagster or Airflow
CRM Knowledge:
Familiarity with Salesforce data structures
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
Experience:

5+ years of professional experience in Business Intelligence, Analytics Engineering, or a related data role
Curiosity & Ownership:
You lead with questions and take pride in the “cleanliness” and architecture of your code
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
BI Visualization:
Experience building stakeholder-facing dashboards in Tableau
Dbt Expertise:
Proven experience building and maintaining production‑grade data models using dbt