STEAMe · 1 day ago
Data Analytics Engineer
Chicago, IL
Full-time
Hybrid
Mid, Senior Level
3+ years expSTEAMe is a new technology company focused on enhancing workforce collaboration and meaningful employment. As a Data Analytics Engineer, you will build data pipelines, transform data for analysis, and deliver insights through dashboards and reports, collaborating with various stakeholders to enhance data-driven decision-making.
Computer Software
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
Qualification
Required
Bachelor's degree in Analytics, Computer Science, Engineering, Statistics, Economics, Mathematics, or a related field (or equivalent experience)
3–6 years of experience in analytics, analytics engineering, or a data engineering–adjacent role
Strong proficiency in SQL and Python
Experience building and maintaining data pipelines, transformations, or ETL processes
Hands-on experience with BI and visualization tools (e.g., Tableau, Looker, Power BI)
Solid understanding of data modeling concepts and analytics best practices
Ability to communicate clearly with both technical and non-technical stakeholders
Comfortable working in a fast-moving startup environment with evolving requirements
Preferred
Experience with cloud data platforms (e.g., AWS, GCP, or Azure)
Familiarity with modern analytics stacks (e.g., dbt or similar transformation tools)
Experience working with SaaS platforms or in edtech / workforce development environments
Exposure to data orchestration tools and APIs
Experience using or designing LLM-powered analytics workflows or prompt-based tools
Company
STEAMe
We are NEW Chicago-based social impact technology.
11-50 employees
Funding
Current Stage
Early StageCompany data provided by crunchbase