Top Business Intelligence Jobs

Support users with business intelligence and OLAP tools for database queries, data extraction, and report generation. Review and optimize queries, help design and document systems, monitor and upgrade enterprise reporting tools, ensure front-end interoperability and security, and maintain metadata and production systems.

Develops and maintains Power BI dashboards, reports, semantic models, and data integrations. Performs data analysis, optimizes dashboard performance, supports legacy report migration, and collaborates with stakeholders and data engineers on ETL pipelines and data accuracy. Creates documentation, trains users and junior developers, and applies SQL, DAX, data warehousing, and cloud technologies to deliver actionable business intelligence solutions.

Develops and manages enterprise business intelligence products, including semantic models, governed definitions, metadata, dashboards, and AI-assisted analytics capabilities. Translates complex business needs into measurable analytic solutions, advises stakeholders, supports adoption and training, and manages product lifecycle, quality, performance, and business impact. Partners with product managers and business leaders to prioritize work, manage risks, communicate value, and guide less experienced team members.

Perform independent healthcare analytics projects for clients using statistical tools, predictive modeling, BI reporting, and data visualization. Build reports and analyses with R/SAS/SPSS and BI tools (Cognos, Business Objects). Maintain client relationships and report to a Senior Consultant.

Independent healthcare consultant responsible for statistical analysis, predictive modeling, BI reporting and data visualization. Works client-facing on projects using R, SAS, SPSS, Cognos and Business Objects, reporting to the Senior Consultant and delivering actionable insights for healthcare clients.

Work independently as a healthcare analytics consultant delivering statistical analysis, predictive modeling, BI reporting, and data visualization for clients. Use R, SAS, SPSS, Cognos, and Business Objects to build insights and reports. Report to the Senior Consultant and maintain strong client relationships.

Independent healthcare consultant responsible for statistical analysis, predictive modeling, BI/reporting, and data visualization. Use R, SAS, SPSS, Cognos, and Business Objects to deliver insights and maintain client relationships. Report to the Senior Consultant.

Designs and maintains BI datasets, data models, reports, dashboards, and visualizations. Extracts and transforms ERP data using SQL and related tools, develops Python or Excel/VBA reporting solutions, and creates QVD files from disparate sources. Partners with stakeholders and IT to improve data accuracy, security, documentation, processes, and decision-making through intuitive self-service analytics.

Build governed Snowflake data marts and Sigma dashboards while migrating legacy SQL Server logic. Reverse-engineer stored procedures, views, and queries; translate business requirements into reliable reporting; establish standardized metrics, semantic layers, documentation, governance, and data-quality practices for sensitive healthcare claims data.

Support Supply Chain reporting, data analysis, and process improvement initiatives. Responsibilities begin with modifying and troubleshooting existing reports, then expand to report development and data analysis projects. The role uses Power BI, Excel, SQL, DAX, R, and Power Query while requiring accurate work, communication, independent initiative, and attention to instructions.

Develop enterprise business intelligence solutions by integrating multiple data sources, building data models, writing SQL queries, creating dashboards and reports, testing hypotheses, forecasting performance, and delivering actionable insights. The role involves requirements gathering, data governance, stakeholder engagement, executive presentations, cross-functional project leadership, and improving business processes, revenue generation, risk management, and customer experience.

Leads the bank’s enterprise data and analytics strategy, governance framework, reporting standards, data quality program, and analytics prioritization. Establishes trusted metrics, dashboards, semantic models, controls, and examiner-ready documentation. Partners with executives, risk, compliance, audit, information security, and technology teams to support decision-making and regulatory requirements. Leads a team of data professionals and provides matrix leadership to business data owners and stewards.

Lead the design, development, and support of enterprise business intelligence reporting and visualization solutions. Translate stakeholder requirements into scalable semantic models, data layers, reporting architectures, and intuitive dashboards. Manage data transformation and loading processes, security controls, performance optimization, troubleshooting, production support, code reviews, architectural standards, mentoring, and Scrum-based delivery through Jira.

Own Courier Health’s business intelligence layer by building Sigma dashboards, dbt models, SQL transformations, semantic metrics, and reliable reporting datasets. Partner with internal and customer-facing stakeholders to define reporting needs, clarify metrics, and turn ambiguous questions into trusted dashboards. Monitor pipelines, investigate data issues, and implement upstream quality checks. The role requires strong SQL, data modeling, modern BI experience, stakeholder collaboration, and a willingness to grow as an engineer.

Develop, maintain, and support BI applications and reports. Gather requirements, build SSRS and Power BI reports/dashboards, create ETL/data pipelines (including API integrations), integrate Business Central data into Microsoft Fabric, perform production support, CI/CD deployments, documentation, tuning, training, and data quality resolution.

Develop and maintain business intelligence solutions, including reports, dashboards, KPIs, data models, ETL processes, and data integrations. Gather requirements from business stakeholders, optimize SQL queries, support reporting databases, and ensure data accuracy, governance, and performance. Collaborate with DBAs, application teams, analysts, and business users while documenting solutions, providing ad hoc analysis, and communicating technical information clearly.

Lead design, development, and administration of enterprise Power BI solutions and Azure-based data pipelines. Build semantic models, dashboards, KPIs, and advanced analytics (forecasting, segmentation, predictive models). Optimize T-SQL, DAX, and ETL/ELT processes, enforce data governance and RLS, mentor teams, and partner with executives and stakeholders to translate business goals into scalable BI solutions.

Leads business intelligence discovery, data modeling, dashboard development, data governance, reporting, and analytics for real estate programs. The role manages stakeholder requirements and KPI reporting, troubleshoots data issues, analyzes complex datasets, supports process improvements, contributes to product roadmaps, and mentors analytics team members. It requires expertise in Power BI, business intelligence tools, building systems and equipment performance, asset lifecycle planning, requirements analysis, and cross-functional consulting.

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.

Develops and maintains business intelligence applications, data models, reporting scripts, and analytics solutions using Qlik, SQL, and related tools. Imports data from multiple sources, validates data integrity, assesses downstream impacts, supports user testing, and collaborates with business stakeholders and IT to improve reporting processes and deliver actionable insights.

Owns and advances BI, analytics, and data warehousing platforms. Designs Oracle BI and Power BI dashboards, develops and maintains ETL processes and data models, monitors platform performance, resolves data quality issues, and supports data governance. Collaborates with architects, IT teams, data stewards, and business stakeholders on reporting, analytics, system integrations, platform upgrades, migrations, and production changes. The role requires deep experience with Oracle BI, OAS, OBIA, ODI, Power BI, SQL, PL/SQL, and enterprise data warehouses.

Develop and support enterprise business intelligence, data warehouse, ETL, reporting, dashboard, and analytics solutions. Build optimized SQL and PL/SQL queries, troubleshoot applications and data issues, support system interfaces and testing, participate in deployments, and provide on-site technical support to government users and senior leadership. Maintain documentation, perform root cause analysis, and implement improvements for system reliability and performance.

Leads the modernization of GreenSky’s Snowflake enterprise data platform, including data warehouse optimization, ETL/ELT modernization, governance, quality, observability, and self-service analytics. Defines multi-year data strategy and roadmaps, establishes engineering and deployment standards, enables AI/ML capabilities, and develops a team of data and test engineers while aligning platform investments with business outcomes.

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.

Lead the design and optimization of BI dashboards, data models, SQL workflows, Tableau environments, Python automation, and Excel reporting. Translate stakeholder needs into KPIs and actionable insights, improve BI governance and performance, evaluate AI-driven efficiencies, and mentor analysts and BI developers while promoting data quality, scalability, and trust.