Top Entry Level Data & Analytics Jobs in Chicago, IL

Administer the Intelex EHSQ system, manage employee onboarding and training records, maintain user and site data, respond to database user requests, analyze safety and system data, create reports, correct data errors, provide training, and improve database processes using SQL and Python.

Build and maintain BI dashboards, reports, curated data models, and analytical datasets. Partner with stakeholders to define KPIs, translate business needs into reporting solutions, validate data accuracy, document metrics, troubleshoot discrepancies, automate recurring reporting, and support data-driven operational insights.

Supports data governance across business and technical teams, including critical data element identification, business glossaries, metadata management, data lineage, data quality rules, dashboards, and reporting. Uses Python, SQL, Tableau, and generative AI tools to analyze data, map data flows, monitor data quality, identify anomalies, and automate lineage tracking. Collaborates with data owners, stewards, subject matter experts, architects, developers, and analysts.

Designs and maintains data visualization, reporting, and business intelligence platforms. Builds Python frameworks, dashboards, reporting applications, and analytics solutions for traders, quants, and developers. Optimizes data access and query performance, supports Looker, BigQuery, Plotly Dash, and Jupyter Notebooks, translates stakeholder requirements into technical solutions, and leads migrations across tools, libraries, and data sources.

Conduct quantitative research to design, implement, and deploy mathematical trading models. Build custom tools for exploratory analysis, apply rigorous quantitative techniques to solve complex problems, and collaborate with traders and developers to productionize models while maintaining best practices.

Deployment Strategists work with customers to identify data-driven solutions, enhance operational workflows, and support decision-making by integrating and analyzing data.

Supports institutional research through routine data collection, survey administration, reporting, data validation, and documentation. Retrieves, organizes, summarizes, and quality-checks university data using established procedures. Assists with recurring reports, survey summaries, website updates, and reporting systems including SQL Developer, Cognos Analytics, Workday, and Excel. Escalates complex requests, protects confidential information, and works under the direction of senior institutional research staff.

Executes scoped data engineering and software development tasks, supports client issue triage, onboarding, offboarding, monitoring, break-fix work, testing, documentation, and operational maintenance. Collaborates with senior engineers and cross-functional teams while using version control and AI-assisted development tools. The role is designed for an early-career professional building engineering fundamentals and gaining experience with production client systems and data pipelines.

Analyzes client data to identify patterns, trends, exceptions, and process improvement opportunities. Responsibilities include compiling daily reports, collecting and cleaning data, reviewing performance indicators, resolving data issues, recommending improved data-management methods, and presenting findings to company leaders. The role requires strong analytical ability, attention to detail, communication skills, proven data analyst experience, and advanced Microsoft Word and Excel proficiency.

Collects, reconciles, analyzes, and enters information from multiple sources supporting FBI law enforcement cases. Maintains physical and electronic files, tracks case deadlines, coordinates information requests, prepares accurate reports and summaries, processes case-related documents, and provides timely status updates. The role requires strong data entry, document review, organization, communication, and Microsoft Office skills, along with U.S. citizenship and a background investigation.