Top Entry Level Data & Analytics Jobs in Chicago, IL

Supports local commercial real estate research by collecting, verifying, entering, and maintaining market data in proprietary databases. Tracks construction, renovations, leases, sales, tenant movements, listings, and property availability through phone and physical canvassing. Assists with quarterly statistics, market publications, client pitches, research requests, and database development. Requires strong organization, attention to detail, communication, writing, analytical ability, and proficiency with Microsoft Office; Power BI experience is preferred.

Develop and maintain quantitative models for volume forecasting, capacity planning, workforce scheduling, scenario analysis, vendor modeling, and operational reporting. The role monitors model performance, ensures Model Risk Management compliance, standardizes model usage, and presents findings to executive leadership. It requires advanced analytical, simulation, optimization, database querying, and quantitative problem-solving skills, with preferred experience in banking analytics and statistical modeling.

Conduct quantitative research to identify trading opportunities and develop trading strategies. Analyze financial datasets using statistical and probabilistic methods, distinguish signal from noise, and investigate market dynamics and microstructure. Build and use research frameworks, apply coding skills in languages such as C++ and Python, and collaborate across projects to improve the firm’s trading capabilities and profitability.

Build AI-assisted interactive data visualizations, calculators, simulations, and internal web applications using Claude Code, React, and live data integrations. Translate ambiguous stakeholder needs into prototypes, then deploy and improve production-quality tools with reliable data pipelines, authentication, and performance. Collaborate with data engineering, establish reusable development patterns, train analysts on code-first workflows, and replace legacy BI dashboards with purpose-built applications.

Leads the Integrated Insights and Client Impact function, building a scalable operating model for cross-domain insight delivery. Oversees executive-ready insight vignettes combining data, analytics, digital capabilities, and subject matter expertise. Establishes governance, quality controls, service levels, and performance measures while partnering with product, consulting, research, strategy, and analytics teams. Advances AI, automation, reusable content, and standardized frameworks, and develops a high-performing team with strong analytical, storytelling, and enterprise leadership capabilities.

Analyzes and corrects claims data errors, investigates root causes, evaluates business impact, and recommends long-term data quality improvements. The role manages claims corrections using business rules, resolves exceptions across systems, collaborates with claims administrators, programmers, vendors, and business teams, and produces ad hoc reports. Strong SQL skills and insurance claims knowledge are required; Snowflake experience is preferred.

Designs and leads enterprise data architecture and strategy for an asset management business. Responsibilities include defining roadmaps, data platforms, architecture patterns, database models, data warehouses, data acquisition and distribution processes, governance, security, and AI solutions. The role requires hands-on prototyping with Snowflake, Azure, Databricks, SQL, and Python, while collaborating with global teams and influencing stakeholders across business and technology functions.

Own and build JSSI’s AI-first data platform, including Bronze, Silver, and Gold pipelines in Microsoft Fabric and OneLake. Develop governed semantic layers for Power BI, ingest data into Azure SQL and ADLS Gen2, and enforce quality, lineage, security, governance, and PII controls aligned with Entra ID. Expose curated datasets to AI agents through approved APIs or MCP servers while using Claude Code and documentation-first engineering practices.

Conduct channel and customer research by mapping expert markets, sourcing and vetting distributors and customers, recruiting experts, coordinating interviews, creating interview guides, monitoring calls, documenting insights, and maintaining compliant CRM records. The role combines investigative research, outreach, stakeholder relationship management, interview facilitation, and rapid project execution across priority industry verticals.

Owns the Voice of the Customer program by managing Qualtrics survey tickets, categorizing feedback, investigating root causes, and coordinating corrective actions across departments. Analyzes NPS, CSAT, and open-text data to identify trends and prepares reports and dashboards for stakeholders. The role also follows up with customers, improves VOC workflows, and communicates insights that drive customer experience and operational improvements.