Top Senior Business Intelligence Jobs

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.

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.

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.

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.

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.

Develop and administer enterprise business intelligence solutions using Power BI, SSRS, SQL Server, and data warehousing technologies. Design data models, dashboards, visualizations, KPI scorecards, security models, and analytical solutions for large-scale datasets. Optimize queries, ensure data quality and governance, establish BI standards, and provide guidance to other developers. Collaborate with engineers, database administrators, and business partners to translate complex data into actionable insights.

Leads business intelligence and analytics initiatives, delivering performance insights and scalable reporting solutions. Designs data warehouses, data lakes, and BI platforms; extracts, transforms, and analyzes complex data; applies statistical and predictive modeling techniques; collaborates with stakeholders across business functions; prioritizes analytical projects; and mentors other analysts.

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.

Leads the Business Intelligence and Revenue Analytics function, balancing team management with hands-on analysis. Develops dashboards, KPI frameworks, forecasts, and reporting for Sales, Marketing, Revenue Operations, and executives. Partners with Data Engineering on data models, pipelines, governance, and quality. Translates business needs into analytical solutions, delivers actionable insights, manages the analytics roadmap, prioritizes initiatives, and coaches a small team.

Develops Power BI dashboards, gathers stakeholder requirements, analyzes business metrics, and delivers actionable insights. Leads BI projects, mentors junior team members, maintains documentation and process compliance, supports data automation, and collaborates with IT and business solutions teams on data initiatives. Requires advanced Excel and SQL skills, expert Power BI knowledge, large dataset experience, and strong stakeholder and team management capabilities.

Develop and maintain enterprise HCM analytics, dashboards, compliance reports, semantic layers, data extracts, and predictive workforce insights using Oracle Fusion technologies. Translate agency requirements into reporting solutions, support data migration and onboarding, ensure accessibility compliance, and provide technical leadership and mentoring across a federal HCM modernization initiative.

Looking for a Senior Business Analyst to gather requirements, collaborate with technical teams, and lead testing efforts, ensuring documentation and relationships are maintained with business teams.

Develop and architect Oracle HCM analytics solutions, including OTBI and BI Publisher reports, OAC dashboards, predictive analytics, HCM Extracts, semantic models, and workforce visualizations. Support federal HR compliance reporting, accessibility standards, agency onboarding, historical data migration, training, and self-service analytics. Lead technical workstreams, review deliverables, solve complex reporting challenges, and mentor junior team members.

Develop and maintain Oracle HCM analytics and reporting solutions for a federal modernization program. Build OTBI and BI Publisher reports, OAC dashboards, HCM Extracts, executive visualizations, compliance submissions, predictive analytics, and accessible 508/WCAG-compliant outputs. Collaborate with HR functional teams, support data transitions and reporting templates, and provide analytics training. The role requires extensive enterprise BI experience, SQL proficiency, workforce metrics knowledge, and familiarity with Oracle Fusion HCM and federal HR reporting.

Leads end-to-end business intelligence reporting and analytics solutions, including data warehouses, data marts, databases, dashboards, reports, and data models. Translates business requirements into technical implementations, analyzes complex healthcare and enterprise datasets, supports decision-making, and leads projects and technical implementations. Collaborates with stakeholders and leadership, resolves issues, mentors colleagues, and manages multiple complex initiatives.

The role involves monitoring and improving customer experience on Walmart.com using Tealeaf, project managing initiatives, and analyzing data to inform business decisions.

Architects and delivers enterprise BI and data product ecosystems, translating ambiguous business needs into full-stack analytics solutions. Owns architecture, performance optimization, database and data warehouse design, and application UX architecture. Builds data marts, solves complex cross-system problems, advises leadership, and mentors engineers. Requires expert SQL, ETL, data modeling, Tableau, Power BI, Microsoft BI stack, DevOps, CI/CD, and analytics architecture expertise.

Designs, develops, and owns business intelligence dashboards, visualizations, analyses, and reporting solutions, primarily in TIBCO Spotfire and also Power BI. Responsibilities include data modeling, calculations, performance tuning, deployment workflows through GitHub, data quality collaboration, BI standards, risk identification, mentoring, and independent decision-making across a multi-tenant Life Sciences data platform.

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.

Leads enterprise business intelligence development, translating stakeholder goals into scalable dashboards, reports, KPIs, and analytics. Partners with data engineering, mentors developers, leads medium-sized projects, supports QA and production applications, researches system issues, and contributes to BI architecture, roadmap planning, user education, and stakeholder prioritization. The role includes rotational after-hours on-call support and minimal travel.