Top Senior Business Intelligence Jobs

Develop and maintain Power BI dashboards, visualizations, reporting environments, data refresh strategies, and automated exports. Validate student loan data, investigate anomalies, migrate Tableau and Crystal Reports, configure security and accessibility controls, gather requirements, document business rules, train users, and support reporting best practices.

Build and maintain Power BI dashboards, reports, semantic models, and executive scorecards using Microsoft Fabric, SQL, DAX, and Azure data services. Design lakehouses, data pipelines, ELT processes, and governed BI assets connecting ERP, MES, OT, and WMS data. Troubleshoot performance and data quality issues, support governance and lineage documentation, gather requirements, conduct testing and demos, and provide technical guidance to other BI analysts.

Partners with business leaders to translate challenges into analytical solutions; performs data profiling, statistical analysis, and source evaluation; develops dashboards, reports, datasets, and scalable BI solutions; validates data quality with engineers; communicates insights to influence strategy; and mentors junior analysts. The role requires advanced SQL, BI platform expertise, data modeling, visualization, and experience in regulated industries. It is a hybrid position requiring three onsite days per week.

Leads complex and enterprise-level business intelligence solutions supporting healthcare quality, compliance, and operational processes. Serves as a BI subject matter expert, applies advanced technical expertise, mentors team members, and collaborates with data engineering personnel on BI data architecture. Identifies gaps and improves processes, governance, data quality, and standardized work practices.

Build and maintain production data models while migrating workflows from Alteryx to dbt. Manage Redshift pipelines with Dagster or Airflow, create Tableau dashboards, and translate technical data into business insights for Revenue Operations. Explore AI, LLMs, predictive analytics, and SageMaker use cases such as churn prediction and lead scoring. Collaborate with Sales, Marketing, Customer Experience, Product, and Engineering stakeholders.

Develops and maintains end-to-end business intelligence solutions, including Power BI reports, dashboards, semantic models, DAX measures, database queries, and automated workflows. Supports database deployment, maintenance, data quality, system upgrades, helpdesk requests, ad hoc analysis, documentation, and user training. Collaborates with stakeholders to translate business needs into accurate data solutions and modernizes legacy reporting systems.

Owns Power BI reporting and analytics for Digital, including internal dashboards, campaign pacing, client-facing intelligence products, contact data health, and data delivery monitoring. Builds DAX reporting logic, automated alerts, budget tracking, segmentation, benchmarking, and trend analysis. Partners with IT, Data Engineering, CRM, and audience teams while transitioning an externally developed platform in-house. Serves as the senior reporting subject matter expert for stakeholder and client-facing analytics.

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 and manage enterprise Power BI dashboards, semantic models, data integrations, and automated reporting for global commercial operations. Analyze Salesforce and other business data using SQL and Python, support sales performance, territories, forecasting, compensation, and executive decision-making. Own reporting reliability, data quality, governance, troubleshooting, and documentation while partnering with Sales, Finance, Marketing, IT, and commercial leadership.

Analyze structured and unstructured data to identify trends, develop dashboards and reports, establish KPIs, and provide actionable recommendations to leadership. The role owns complex analytics deliverables, supports forecasting and process improvement, communicates insights to stakeholders, responds to ad hoc reporting needs, and leads small projects and initiatives.

Designs and improves business intelligence, analytics, visualization, and AI-assisted solutions for Kawneer. Develops Power BI dashboards, KPIs, semantic models, and analytical experiences; supports Microsoft Fabric and related platforms; partners with stakeholders to translate business questions into actionable insights; improves data accessibility, quality, consistency, and trust; and evaluates emerging analytics and AI capabilities for business value.

Leads data governance, KPI standardization, business intelligence, reporting strategy, and analytics enablement for the Industrial Group. Establishes data ownership, quality practices, metric definitions, dashboards, and governance frameworks while managing BI and data governance teams. Partners with senior leaders, Finance, Operations, IT, and process owners on ERP modernization, SAP migration, data validation, reporting requirements, and adoption of trusted analytics capabilities.

Develop and maintain Power BI dashboards, visualizations, reports, data refresh strategies, and reporting environments. Write SQL queries, validate student loan data, migrate Tableau and Crystal Reports, remediate accessibility issues, configure security and access controls, automate exports, investigate data anomalies, gather requirements, document business rules, train users, and provide technical leadership and status reporting.

Develops and administers enterprise Power BI dashboards, reports, semantic models, data pipelines, and executive analytics. Responsibilities include DAX and Power Query development, SQL-based data integration, ETL/ELT, data modeling, governance, security, refresh management, and performance optimization. Partners with business and technical stakeholders to define metrics and deliver actionable insights. Supports Azure Databricks, Microsoft Fabric, AI-enabled analytics, data quality, documentation, training, and responsible AI adoption.

Leads and develops the Business Intelligence and Analytics team, partnering with business leaders to deliver dashboards, reporting, forecasting models, KPI frameworks, and actionable insights. The role oversees complex data analysis, financial and inventory modeling, data governance, reporting automation, and analytics solution development. It supports budgeting, planning, operational performance, profitability improvement, and executive decision-making while strengthening data quality, architecture, warehousing, and self-service BI capabilities.

Leads business intelligence and analytics initiatives by analyzing complex operational and financial data, developing predictive and scenario models, and building dashboards and reports. Partners with Operations, Finance, Marketing, and leadership to deliver actionable recommendations, track performance, and support strategic decisions. Mentors junior analysts and trains stakeholders on reporting and self-service BI tools.

Develop and manage Power BI reports, dashboards, and KPI scorecards. Gather requirements, translate business needs into technical reporting solutions, write T-SQL and DAX queries, maintain SSRS reports, document report logic, validate data quality, and support dashboard performance. Collaborate with business and IT teams to integrate systems and deliver reliable analytics solutions.

Own the Business Intelligence domain by building scalable data models, dashboards, reports, and data pipelines. Partner with Product, Sales, Operations, Data Engineering, and leadership to ensure data quality and support decisions. Analyze large datasets, run experiments, develop predictive models, improve analytical infrastructure, and mentor colleagues. The role requires advanced SQL, data warehousing, ETL/ELT, scripting, visualization, cloud architecture, and governance expertise.

Develops complex data mining analyses, extracts data, creates reports and queries, and supports data warehouse applications. Maintains expertise in database design, data definitions, programming languages, and data integrity. Designs database tables, develops business-area applications, and trains users on those applications.

Develops marketing and business intelligence insights for senior leaders across Marketing, Sales, Developer, Finance, and Product. Responsibilities include analyzing campaigns, funnels, pipeline, revenue attribution, and experiments; building dashboards, data models, executive presentations, and AI-assisted analytical workflows; applying statistical judgment; and influencing strategic decisions through actionable recommendations and measurable outcomes.

Develops and maintains enterprise business intelligence, dashboards, scorecards, KPIs, automated reporting, data models, and analytical solutions. Translates banking, customer, financial, lending, operational, and project data into actionable insights for executives and business leaders. Ensures data quality, governance, reconciliation, documentation, and regulatory compliance while partnering cross-functionally with Technology and business teams. Supports strategic planning, project portfolio oversight, performance management, and executive or Board-level reporting.

Leads enterprise business intelligence and analytics for Internal Audit, including Power BI dashboards, executive reporting, KPI frameworks, semantic data models, data integration, quality, governance, and advanced analytics. Translates complex data into actionable insights for senior leadership, supports risk and performance analysis, manages stakeholder requirements and delivery priorities, and mentors analytics team members.

Leads a team of data modelers and financial analysts, oversees Finance Power BI reporting, prioritizes digital transformation initiatives, removes project obstacles, and partners with Finance, IT, and business intelligence stakeholders. The role promotes automation, data-driven decision-making, continuous learning, change management, and the strategic use of digital tools and AI across the Finance organization.

Leads end-to-end business intelligence and analytics development using Power BI, including dashboards, reporting, data integration, and commercial performance analysis. Partners with cross-functional leaders to deliver insights on market share, pricing, demand, inventory, customer targeting, and competitor activity. Evaluates and implements AI and machine learning tools, manages analytics vendors, oversees ELT and data integration, resolves data issues, trains users, and presents recommendations to senior leadership.

Develop and maintain BI reports, dashboards, databases, stored procedures, and data systems using SQL Server and SSRS. Perform data extraction, cleansing, migration, quality monitoring, ad hoc analysis, and troubleshooting. Interpret findings and provide recommendations to attorney practice groups while supporting BI infrastructure and mentoring junior developers.