Data Analytics Engineer

Data Analytics Engineer - Job Description

Chicago based position - not eligible for remote work

Who We Are

We are a new technology company that takes the burden out of cross-community workforce collaboration to power up pathways to meaningful employment, mobility, and prosperity. STEAMe's platform unites all partners to support learners, reduce stop outs, and ensure employers get people with the right skills into the right jobs at the right time.

The Role

As a Data Analytics Engineer at STEAMe, you will sit at the intersection of analytics, data engineering, and emerging AI-powered workflows. You'll be responsible for building reliable data pipelines, transforming data for analysis, and delivering high-quality dashboards and reports that drive product, operational, and customer insights.

Working closely with product, engineering, customer success, and business stakeholders, you'll own data transformations, support analytics architecture, and help evolve how STEAMe uses data - including experimenting with LLM-assisted analysis and prompt-based workflows to surface insights more efficiently.

This is an excellent opportunity for someone who enjoys working across the full data lifecycle - from ingestion and modeling to visualization and insight delivery, - in a fast-paced startup environment.

Key Responsibilities

• Partner with cross-functional teams to understand business objectives and translate them into scalable data models, metrics, and analytics solutions
• Design, build, and maintain data transformations and lightweight ETL pipelines using SQL and Python
• Develop and maintain curated analytics tables and semantic layers to support reporting and dashboards
• Create and manage dashboards and reports in BI tools (e.g., Tableau, Looker, Power BI) for internal teams and external partners
• Ensure data accuracy, consistency, and reliability across analytics outputs
• Support and evolve data architecture by collaborating with engineering on source systems, data flows, and integrations
• Write Python scripts for data preparation, automation, and analytics workflows
• Experiment with and develop LLM-enabled workflows, including prompt design, to extract insights, summarize data, or support internal analytics use cases
• Experiment with AI tools to deliver new methodologies and optimize workflows
• Document data models, pipelines, metrics definitions, and analytics best practices
• Troubleshoot data quality issues and proactively identify opportunities to improve data processes and performance

Requirements

Preferred Qualifications

Environmental Job Requirements & Working Conditions

STEAMe is committed to building a diverse team and fostering an inclusive culture, and is proud to be an equal opportunity employer. We embrace and encourage our employees' differences in race, religion, color, national origin, gender, family status, sexual orientation, gender identity, gender expression, age, veteran status, disability, pregnancy, medical conditions, and other characteristics.