Top Senior Business Intelligence Jobs in Chicago, IL

Owns the full lifecycle of business intelligence solutions, including requirements gathering, dashboard and report development, data modeling, visualization, governance, and production delivery. Partners with business, laboratory, engineering, and product stakeholders to perform root-cause analyses, develop datasets, support self-service analytics, and guide system changes. Requires advanced SQL, BI tool expertise, stakeholder management, and experience with agentic workflows.

Designs and maintains enterprise BI reporting, analytics applications, data marts, warehouses, and ETL/ELT pipelines. Partners with cross-functional stakeholders to gather requirements and deliver scalable solutions using SQL, Python, Snowflake, Airflow, and BI visualization tools. Leads initiatives through architecture, implementation, delivery, and support, while advancing AI adoption across the BI and data development workflow.

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.

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.

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.

Leads enterprise BI architecture, roadmap development, governance, and platform evolution. Designs dimensional models, Power BI and Microsoft Fabric semantic models, DAX solutions, security controls, deployment processes, and performance standards. Manages Power BI capacities and gateways, supports HIPAA compliance and audit readiness, enables self-service analytics, and directs offshore consultants. Partners with stakeholders to translate requirements into scalable BI solutions, communicate tradeoffs, and build platform investment cases.

Lead Epic Cogito, Caboodle, and Clarity data migration from on-premises environments to Azure cloud. Validate data integrity, reporting parity, and performance; build and optimize SQL reports and dashboards using Epic reporting tools; translate requirements into cloud architecture and workflow decisions; manage migration risks, documentation, runbooks, status reporting, and knowledge transfer; and mentor customer teams throughout implementation.

Owns end-to-end development and maintenance of Tableau and Amazon QuickSight dashboards for operational and executive stakeholders. Translates business needs into datasets, visualizations, and actionable insights; writes SQL for analysis and validation; collaborates with data engineers on AWS lakehouse sources; optimizes performance, validates data quality, documents dashboards, and continuously improves the BI portfolio.

Supports the design and implementation of financial and management reporting and analytics. Oversees business intelligence strategy, KPI alignment, report rationalization, data governance, and reporting automation. Partners with finance and actuarial teams to improve reporting efficiency, consistency, quality, timeliness, and risk management. Requires business intelligence, relational database, project management, strategy, change management, process improvement, and reporting experience, with Oracle reporting expertise preferred.

Leads business intelligence strategy, dashboard development, data analysis, automation, and a small BI analyst team. Builds Power BI solutions using data from financial, sales, customer success, CRM, and operational systems. Partners with data engineering and business leaders to ensure data quality, deliver actionable insights, support customer retention and expansion, and present recommendations to executives. Provides technical direction, mentorship, prioritization, documentation, and end-user training.

Develops business intelligence applications and data models using Qlik, SQL, and related tools. Performs ETL, data validation, analytics process improvement, and impact analysis for reporting changes. Provides data-driven insights, supports audits and legislative inquiries, leads stakeholder meetings, and mentors teammates as a business intelligence subject matter expert.

Leads the Americas Business Intelligence Center, managing research leaders and delivering market, competitor, industry, company, and financial intelligence for business development and client delivery. Partners with senior stakeholders, oversees research quality and commercial support, drives responsible generative AI adoption, improves workflows and reporting, manages research vendors and subscriptions, and develops a high-performing team.

Designs and maintains executive dashboards, reports, semantic models, and automated analytics solutions using Power BI. Defines enterprise KPIs, data standards, and business rules while integrating data from ERP, CRM, manufacturing, SQL, and cloud systems. Partners cross-functionally with senior leaders to deliver insights, improve data quality, support master data management, and enable scalable self-service analytics and data-driven decision-making.

Develop business intelligence and analytics solutions using financial, operational, RF, and video performance data. Build scalable data models, dashboards, reports, automation workflows, and ETL/ELT processes using Power BI, Tableau, DataMiner, and Qligent. Analyze trends and anomalies, monitor satellite and video delivery performance, translate business requirements into actionable insights, and collaborate with enterprise stakeholders in a fully remote consulting role.

Leads commercial business intelligence strategy, Power BI reporting, dashboards, analytics, data governance, CRM optimization, and sales process improvement. Manages two direct reports and partners with commercial, finance, and operational leaders to improve revenue performance, forecasting accuracy, data quality, and commercial effectiveness. Oversees sales incentive compensation analytics and cross-functional system transformation initiatives. The role is fully remote with 10% overnight travel.

Develops business intelligence products and analytics supporting strategic decision-making across the firm. Responsibilities include client profitability and segmentation analysis, growth and margin analysis, reusable data models, KPI governance, executive dashboards, automated reporting, and self-service analytics. Partners with Finance, Revenue, Business Development, Pricing, Technology, and other stakeholders to translate financial, market, operational, and client data into actionable insights while maintaining reporting quality and consistency.

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.

Owns the company’s BI platform and data strategy across clinical, operations, finance, and HR functions. Responsibilities include setting the analytics product roadmap, governing data definitions and PHI, managing platform architecture, building dbt models and dashboards, delivering healthcare quality and value-based-care analytics, deploying conversational AI, coordinating vendors and multi-team programs, and developing an analytics team. The role requires hands-on ownership of clinical data, EHR integrations, semantic modeling, governance, and executive reporting.

Designs and maintains BI solutions, writes optimized SQL and stored procedures, and builds AI-assisted reports and dashboards using Power BI, Tableau, and Excel. Translates business questions into actionable insights for Sales and cross-functional teams, develops data models, supports reporting migrations, and ensures data quality, governance, documentation, and consistency across platforms.

Own and enhance Sigma dashboards and business intelligence reporting for the Records Retrieval business. Partner with stakeholders to translate business needs into scalable data solutions, analyze complex datasets, improve data quality and governance, define reporting standards, and support Snowflake data warehouse and modeling initiatives. Deliver actionable insights, automate reporting processes, evaluate analytics tools, and independently drive analytics projects from requirements through delivery.

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 a BI engineering team, overseeing dashboards, data models, SQL/dbt transformations, ETL pipelines, Airflow DAGs, data warehouses, CI/CD, governance, and quality standards. Partner with stakeholders to define reporting requirements, conduct advanced analyses, manage Agile projects, and develop data strategy. Mentor team members and support production deployments. This fully remote role requires travel to Denver for five business days each quarter.

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.

Transforms complex retail and consumer data into business-ready datasets, scalable pipelines, reporting solutions, automation, and client deliverables. Designs data integration solutions in Unify, troubleshoots connector issues, explores AI-driven improvements, and partners with Product, Engineering, Client Development, Operations, and business stakeholders to define requirements and deliver scalable solutions.

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.