Top Business Intelligence Jobs in Chicago, IL

Design, develop, and administer advanced analytics dashboards, BI reporting, and data views. Partner with stakeholders to gather requirements, deliver production analytics, perform root-cause analyses, support data governance, and enable self-service analysis across laboratory, operations, and engineering teams.

Develop business intelligence and revenue reporting tools, automate Finance reporting processes, perform ad hoc and quantitative analyses, and translate complex data into actionable insights. The analyst will support company initiatives, present findings to technical and non-technical stakeholders, and provide decision-making guidance across the organization.

Serve as the primary technical escalation point for managed services data and analytics clients. Troubleshoot and enhance Power BI, Fabric, Azure, and other analytics environments; gather requirements; translate business needs into scalable solutions; support client onboarding; maintain documentation; mentor support staff; and partner with client success and consulting teams. The role also contributes to continuous improvement, training, knowledge sharing, and AI-enabled productivity initiatives.

As a Senior Business Intelligence Engineer, you will design and maintain reporting solutions, architect ETL pipelines, and implement AI use cases while collaborating with stakeholders across various business units.

Transform data into actionable insights by building dashboards, reports, and visualizations. Partner with cross-functional teams and data engineering to ensure data quality, lineage, and AI-ready metadata. Audit datasets, define monitoring rules, document data dictionaries, pilot AI-assisted BI tools, and apply hypothesis-driven analysis to surface insights that inform business decisions.

Build AI-augmented BI dashboards, semantic layers, and AI-ready metadata. Use AI-assisted tools to accelerate SQL and dashboard development, productionize ML outputs into BI, enforce data quality and governance, and present insights to business stakeholders including C-suite.

Work with Treasury and BI teams to document current and future requirements, review BI tools, conduct requirement walkthroughs, perform system integration testing, and support UAT for BI/data warehouse solutions.

Designs and maintains risk decision-support strategies and analytics for a designated portfolio. Manages consumer credit bureau interfaces, develops BI and decision tools, monitors performance and key risk indicators, supports change management, collaborates with stakeholders, and documents systems and processes to ensure effective risk decisioning.

Lead data product strategy and governance for customer-facing reporting within Managed Services. Own reporting product roadmap, data quality, standards, delivery platforms (Redwood Insights, BI, Snowflake, Excel), implementation readiness, and cross-functional alignment to scale trusted, automated customer analytics and reduce manual reporting.

The Business Analyst will focus on requirement gathering, functional specifications, and business intelligence for retail and e-commerce domains.

The BI Analyst will handle ETL tasks, create and debug reports, develop visual analytics, and work with stakeholders to gather requirements. Documentation is also a key responsibility.

Deliver complex analyses and BI reporting for Wealth organization using Python, SQL, and cloud tools. Build trusted data assets, dimensional models, automated pipelines, and visualizations. Support data quality, governance, and AI enablement. Partner with business and technology teams, manage projects, and mentor junior staff to drive insights and decision-making.

The Solution Analyst - Business Intelligence role involves evaluating business needs, creating documents for data processes, collaborating with stakeholders, training users on BI tools, and supporting data quality initiatives.

Designs, develops, and supports enterprise business intelligence solutions, including ETL/ELT processes, dimensional data models, SQL database objects, reports, dashboards, and analytic applications. Translates business requirements into technical reporting solutions, monitors data quality and access controls, troubleshoots data and BI issues, maintains documentation, and supports deployments, upgrades, and users across academic, administrative, and clinical functions.

Architect, design, develop, and maintain Microsoft BI solutions and data warehouse components. Build ETL, data marts, reports, dashboards, and analytics; partner with business teams, resolve data quality issues, and mentor BI team members.

Lead creation and scaling of a centralized Power BI function: define team structure, governance, semantic models, security, lifecycle management, and standards. Build certified datasets, implement complex row-level security, combine cross-division data responsibly, deliver high-quality reports, and partner with stakeholders to translate needs into governed data products and executive reporting.

The Power BI Developer will build data analytics models using Power BI, develop self-service analytics, manage data integration, and assist in requirements analysis for a Federal agency.

Lead end-to-end delivery of BI reporting solutions across NIQ data sources, analyze data to surface trends, consult with clients on BI tool usage, identify and nurture BI leads, optimize reporting processes, collaborate on product development, manage projects independently, and support cross-functional BI initiatives and customer engagements.

Leads complex, cross-functional business intelligence initiatives from strategy and scoping through delivery. Partners with senior leaders across Sales, Marketing, Finance, and Operations to build scalable data products and actionable insights. Establishes standards for metrics, data modeling, governance, quality, and storytelling; designs data infrastructure using modern tools such as dbt. Drives data literacy, mentors analysts, contributes to analytics roadmaps, and ensures data assets are trusted, discoverable, secure, and fit for executive decision-making.

Partner with stakeholders to translate business needs into BI requirements, design and maintain BI solutions and semantic layers, analyze large payment datasets, enforce data governance and quality, deliver insights and reports, lead stakeholder meetings and training, mentor team members, and drive process improvements for data loading and analytics.

Develop enterprise Power BI solutions from discovery through adoption. Responsibilities include semantic modeling, advanced DAX and Power Query development, dashboard UX/UI design, governance, performance optimization, stakeholder workshops, client presentations, usability testing, adoption tracking, proposal support, and mentoring junior team members.

Leads the analytics products team and oversees the development, integrity, maintenance, and delivery of dashboards, reports, models, extracts, and routine data deliverables. Delegates work while remaining hands-on enough to ensure product quality and technology alignment. Partners across revenue cycle business services and applies analytics, project management, change management, business transformation, facilitation, and process improvement practices.

Develops and maintains enterprise BI reports, dashboards, data models, and visualizations supporting Financial Planning & Analysis. Defines reporting requirements and data standards, analyzes and validates datasets, contributes to data governance, troubleshoots BI issues, and recommends reporting framework enhancements. Collaborates with IT data teams and stakeholders on data integration, documentation, training, and reporting performance improvements.

Reviews, develops, validates, and refines dashboards, reports, visualizations, calculations, data sources, KPIs, and analytical workflows across BI platforms. The role documents findings, provides structured feedback, troubleshoots reporting accuracy, and evaluates AI-powered agents and workplace connectors used in analytics processes.

Own the companys end-to-end data graph, ensure data quality and lineage, and deliver Sigma dashboards and client-facing reports. Act as single owner for triage, prioritization, and translation of business questions into actionable insights, partnering closely with data engineering and business leaders to set standards for production-ready reporting.