Top Entry Level Data & Analytics Jobs in Chicago, IL

Collects, analyzes, organizes, and verifies information from multiple sources for FBI case support. Maintains databases, spreadsheets, physical files, and case-status records; reconciles inconsistencies; tracks deadlines; coordinates information requests; prepares accurate reports, summaries, correspondence, and status updates; and performs related administrative and word-processing duties.

Own revenue forecasting models, pipeline analytics, and commercial performance insights across a global flexible-workspace network. The role integrates data from Salesforce, Looker, Snowflake, and spreadsheets; analyzes pricing, conversion, sales velocity, unit economics, and marketing and sales efficiency; partners with Finance and commercial leaders on budgets and planning; and communicates findings through actionable memos and presentations.

Develop slot-style electronic gaming math models using probability, C#, and a prize-first math engine. Translate game concepts into software, maintain mathematical metrics and PAR sheets, and support data-driven design decisions. Research North American slot market trends to ensure contemporary game designs. Collaborate with game designers and cross-functional teams while managing changing priorities. The role requires a mathematics-focused bachelor’s degree or equivalent experience, C# and Excel experience, and may involve overtime, weekend work, and limited travel.

Designs and implements advanced analytics capabilities by building Azure-based data platforms, ingestion pipelines, and scalable data processing solutions. The role uses Python, Spark SQL, Azure Data Factory, Azure Storage, and Azure Databricks to transform structured and unstructured data. Responsibilities also include querying large datasets, applying Azure networking and security practices, and potentially using Snowflake to create data marts.

The Business Systems Analyst bridges business and IT by documenting objectives, eliciting and validating requirements, analyzing systems and processes, supporting automation, conducting data analysis, and developing recommendations and reports. The role collaborates with project stakeholders, creates and executes test plans, supports users through training and documentation, and ensures solutions align with business strategies.

Develops and prioritizes digital and analytics initiatives across Power Systems. Builds dashboards and reports, defines business requirements and performance measures, improves data quality, coordinates application implementations and integrations, supports testing and rollout, and trains users. Partners with department leaders, IT, Caterpillar resources, and technology providers to improve workflows, application adoption, decision-making, and customer experience. Monitors results and recommends continuous improvements.

Leads the team producing bespoke analytics, executive narratives, and client-ready materials for business reviews, renewals, save plans, and value realization. Builds intake, prioritization, quality, capacity planning, and delivery processes while partnering cross-functionally with client management, success, advisory, product, and commercial teams. Coaches a high-output team and develops reusable templates and storytelling standards that improve scalability, cycle time, and executive communication.

Build a canonical entity and knowledge graph for identity resolution, permissions, compliance, and agent authorization. Develop production data pipelines across internal systems, graph-based correlation, ML matching, schemas, APIs, provenance, bitemporal models, drift detection, and delegation credentials. Partner with Finance and Compliance on classification pilots while enforcing privacy, regulatory compliance, jurisdictional partitioning, and auditability.

Own Clayco’s Snowflake-based semantic layer, including certified definitions, governed models, approval processes, and legacy reporting retirement. Build conformed and domain models for construction, finance, project controls, safety, and risk. Hire and lead an analytics engineering team growing to eleven, while partnering with data platform, AI, and governance leaders to establish trusted data standards across the organization.

Analyzes business and customer requirements to define metrics, measurement frameworks, and scalable Tableau dashboards. Partners with stakeholders across life sciences, healthcare, and sales organizations to deliver consistent, data-driven insights. Documents BI standards, ensures metric accuracy and security compliance, demonstrates expertise in relevant data sources, and manages dashboard requests through a Jira backlog while meeting delivery timelines.