Top Remote Business Intelligence Jobs in Chicago, IL

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.

Lead and scale Runpod’s analytics and business intelligence function, managing analysts and BI practitioners while setting the analytics roadmap. Own core company metrics, consumption and marketplace analytics, self-service reporting, experimentation practices, and executive and board-level insights. Partner with Product, Finance, Engineering, Security, Supply, and Go-to-Market leaders to improve data quality, modeling, decision-making, and strategic outcomes.

Lead CX data intelligence initiatives using SQL, dashboards, analytical models, and AI/LLM techniques. Analyze customer journeys, operational metrics, churn risks, and retention indicators; develop insight agents and self-service reporting; define CX health metrics; and translate findings into strategic recommendations, process improvements, and experiments. Partner with operations, support, product, data, and engineering teams while maintaining data quality, governance, and documentation.

Design, build, and maintain Power BI dashboards and data models using Snowflake and other cloud sources. Collaborate with data engineers/ETL teams, gather stakeholder requirements, implement DAX and Power Query transformations, ensure data governance and performance, and deliver analytics within Agile processes.

Designs, develops, and maintains scalable Power BI dashboards, semantic models, and reporting infrastructure. Creates optimized DAX measures and time-intelligence logic, transforms data with Power Query, improves report performance, and implements RLS and OLS security. Collaborates with data engineers, analysts, data scientists, AI teams, and business stakeholders to deliver actionable analytics solutions.

Leads business intelligence, reporting, analytics, and project delivery initiatives. Partners with stakeholders and technical teams to gather requirements, define reporting solutions, manage timelines and risks, validate data and outputs, maintain dashboards, support testing and implementation, and identify process improvements. Uses complex data analysis, business process evaluation, and reporting expertise to improve operational performance, leadership decision-making, governance, automation, and consumer experiences.

The BI Analyst develops dashboards, reports, and visualizations; gathers business requirements; performs ETL and SQL-based data analysis; ensures data quality and governance; identifies trends and anomalies; provides recommendations; and trains users on BI tools and reports.

Develops self-service BI tools, data sources, data marts, and interactive visualizations using Tableau or Power BI. Partners with clinical and operational leaders to translate information needs into actionable insights. Combines data from warehouses, lakes, and external sources; supports ETL, validation, data governance, platform maintenance, security access, and compliance. Trains and mentors analytics team members while ensuring BI assets are accurate, trusted, secure, and effectively maintained.

Build and maintain reporting suites, dashboards, analytical models, and quantitative analyses that support business decisions. Partner with leaders across Operations, Risk, Servicing, Finance, Product, and Sales to investigate complex questions, generate actionable insights, and identify growth opportunities. Collaborate with data engineers to ensure accurate data delivery while managing multiple cross-functional projects and communicating findings through clear, persuasive narratives.

Build and maintain Tableau dashboards, KPIs, reports, forecasts, and business analyses for Customer Success, Marketing, and Sales. Query and validate cloud warehouse data using SQL, partner with Analytics Engineering on data models and quality, and translate stakeholder questions into actionable insights. Support self-service analytics, AI-enabled tools, documentation, training, and governance while analyzing pipeline, campaign performance, retention, churn, revenue, and customer data.

The Epic Business Intelligence Developer creates analytics content for Epic data, configures applications, writes SQL reports, and manages data models and analytics catalogs.

Leads business intelligence and database analysis to generate revenue insights, solve complex business problems, optimize digital performance, support sales and marketing initiatives, and develop predictive data products. The role requires advanced SQL analysis across large data warehouses, Tableau and web analytics reporting, data validation, executive presentations, and leadership of junior staff.

Build and maintain business intelligence models, dashboards, reports, and compensation analyses for shelter, breeder, and sales channels. Support insurance regulatory reporting, ad hoc analytics, data quality, governance, automation, and performance tuning. Partner with data engineering, compliance, and business teams to improve enterprise data models and enable AI-driven initiatives.

Develop and optimize SQL Server and SSIS billing pipelines, automate data movement and validation with Python, and use R and Python for analytics, anomaly detection, and billing decision models. Build data-quality frameworks, support internal reporting tools, integrate ERP APIs, and collaborate with finance and operations stakeholders. The role requires maintainable, tested, auditable solutions and ownership of features across databases, pipelines, analytics, and internal applications.

Lead business intelligence strategy across product, clinical, commercial, finance, and engineering teams. Build measurement frameworks, semantic layers, reporting solutions, and visualizations that demonstrate business value and support data-informed decisions. Own the data lifecycle from ideation through client-facing delivery, ensure data governance and integrity, and translate complex datasets into actionable insights. Collaborate on scalable data architecture and apply statistical methods, advanced analytics, and emerging AI-driven BI capabilities.

Develop and maintain Amazon QuickSight dashboards in a secure CMS environment supporting healthcare quality improvement programs. Responsibilities include gathering requirements, creating analyses and visualizations, validating data and calculations, documenting dashboards, conducting user acceptance testing, troubleshooting, and supporting deployment. The role also develops Tableau visualizations, performs ad hoc analysis, coordinates with stakeholders, and communicates technical findings and dashboard guidance.

Supports enterprise data governance and business intelligence initiatives by profiling datasets, defining quality rules, validating metadata and lineage, maintaining business glossaries, and testing API integrations. Develops data-quality scorecards, governance reports, dashboards, documentation, and training materials. Collaborates with data owners, stewards, engineers, and government stakeholders while tracking remediation and testing evidence in Azure DevOps. The role requires Power BI, data governance, data-quality, SQL, ETL, and relational database experience in a Navy environment.

Develop and maintain BI reports and dashboards for the Mortgage Lending Division. Analyze large datasets, identify trends, validate reportable data, and support regulatory reporting such as HMDA and Fair Lending Analysis. Collaborate with business teams to gather requirements, automate reporting processes, document data definitions, and provide training on reporting tools. The role also supports data dictionaries, exception reporting, and operational improvements.

Develop and maintain Power BI, SSRS, SQL, recurring, and ad hoc reports for the Mortgage Lending Division. Analyze large datasets, validate regulatory reporting data, identify trends, automate reporting, and provide actionable insights. Collaborate with business units, support HMDA and fair lending reporting, document data dictionaries and procedures, and train users on reporting tools.

Leads a client’s migration from SQL Server, SSIS, and SSRS to Snowflake and Sigma while maintaining legacy reporting operations. Designs data models, ETL pipelines, reports, dashboards, source-to-target mappings, and migration plans; validates reporting parity and coordinates phased cutovers. The role also provides client-facing technical leadership, troubleshooting, documentation, peer reviews, and ongoing support for banking data and reporting systems.

Lead ownership of BI reporting infrastructure: build and standardize dashboards, extract insights from messy third‑party data, partner with marketing teams to drive performance optimization and deliver proactive retrospective analyses that influence business decisions.

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.

Develops and maintains Power BI dashboards and data models, defines KPIs with stakeholders, validates data accuracy, and collaborates with Data Engineering on optimized analytical models. The role documents data lineage and reporting assumptions, supports self-service BI through communications and training, and automates manual reporting processes. It requires SQL, Power BI, DAX, Power Query, data modeling, and data warehouse knowledge, plus strong communication and cross-functional collaboration skills.

Leads enterprise business intelligence and analytics across multiple divisions and locations. Establishes governed KPI definitions, reporting architecture, financial and operational analytics, semantic models, data-quality practices, and self-service reporting. Partners with FP&A, IT, Finance, and Operations to align analytics with financial results, guide technical delivery, evaluate BI platforms, and support forecasting and performance improvement. Directs internal or external development teams and communicates actionable insights to executives and operating leaders.

Lead BI reporting and advanced analytics to optimize marketing campaigns and ROI. Build dashboards, manage multi-source data, ensure data governance, provide actionable insights, mentor juniors, and partner with cross-functional teams to guide strategy.