Top Senior Business Intelligence Jobs

Leads a team of business intelligence analysts and develops financial, management, marketing, and omnichannel analytics. Responsibilities include collecting and modeling data, conducting statistical and ad hoc analyses, translating business questions into requirements, delivering insights to product owners and executives, improving data foundations and analytical technology, and maintaining reliable analytics operations.

Designs, implements, administers, and supports business intelligence solutions, including reports, dashboards, analytics, and scorecards. Collaborates on data structures, builds BI platforms, improves usability, presents solutions to leadership, and communicates technical concepts to business stakeholders. The role also requires leadership, mentoring, strategic thinking, stakeholder influence, and continuous improvement.

Owns end-to-end business intelligence projects across pharmacy operations, including data modeling, dbt development, LookML semantic layers, dashboard migrations, validation, and client-facing reporting. Defines and standardizes metrics, ensures reporting accuracy, mentors teammates, and builds secure PHI reporting that complies with HIPAA, masking, access-control, and BAA requirements.

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.

Develop and maintain enterprise Power BI dashboards, semantic models, and reporting solutions. Integrate Azure and Databricks data, write Python and PySpark transformations, optimize DAX and data models, implement security, and ensure data quality. Collaborate with stakeholders, engineers, and architects to translate requirements into scalable solutions. Lead technical teams, conduct architecture reviews, manage Fabric platforms, and train business users on Power BI.

Leads commercial strategy and business intelligence for cardiovascular MedTech businesses. Builds BI roadmaps, dashboards, data products, competitive intelligence, and executive insights; partners cross-functionally to turn complex data into actionable recommendations. Manages and develops an analytics team, promotes data innovation and automation, and ensures data governance, quality, scalability, and operational excellence.

Designs and maintains Tableau dashboards, reports, data models, and visual analytics solutions. Partners with stakeholders to define reporting needs, validates data, troubleshoots quality and performance issues, manages Tableau content governance, documents analytics processes, and supports users. Converts complex data into actionable insights for operational and strategic decision-making while improving reporting efficiency and reliability.

Provides executive leadership for advancement analytics, business intelligence, reporting, data governance, integrations, data architecture, AI enablement, innovation, and organizational learning. Establishes data strategy and governance, oversees analytics and decision-support capabilities, leads directors and analysts, and partners with university stakeholders to improve fundraising effectiveness and organizational performance.

Develops and supports business intelligence applications in Agile and cloud environments. Responsibilities include SQL programming, ETL development, Cognos BI reporting, database work with Oracle and SQL Server, application performance and load testing, metric tracking, troubleshooting, and tuning systems for scalability. Collaborates through Jira and uses Microsoft SSAS, SSRS, and SSIS tools.

Designs and maintains dashboards, reports, and visualizations; validates data quality and reporting logic; translates complex analysis into actionable recommendations; partners with data teams and stakeholders; improves reporting scalability, self-service analytics, and responsible AI usage. Presents findings to technical and non-technical audiences while supporting strategic and operational decision-making.

Lead design and delivery of enterprise Power BI solutions and a Power BI Center of Excellence. Build scalable data models, integrate BI with centralized data platforms and ERP systems, govern BI assets, adopt DevOps and Agile practices, mentor teams, and drive analytics adoption to enable data-driven decisions across the organization.

Senior Business Intelligence Engineer responsible for designing Account 360 Medallion Architecture, integrating enterprise and telemetry data, building predictive models and enrichment pipelines, and delivering actionable insights. The role uses Python, R, SQL, machine learning, NLP, and process mining to analyze device usage, customer workflows, and product friction. Responsibilities include rapid data-product deployment, stakeholder collaboration, sprint-based workload management, cross-training, technical debt reduction, and up to 15% travel.

Administer and support Tableau Cloud reporting platforms across development, test, and production environments. Manage users, permissions, security, refreshes, subscriptions, deployments, troubleshooting, and platform health. Support Azure SQL Database, Azure Data Factory pipelines, Salesforce data, and MuleSoft Runtime Fabric integrations. Investigate data and connectivity issues, optimize performance, resolve incidents, document technical processes, support SDLC activities, and mentor team members.

Design and maintain enterprise business intelligence platforms, including dimensional models, semantic layers, data warehouses, Power BI solutions, and Microsoft Fabric integrations. Optimize SQL, DAX, refresh processes, and semantic model performance. Establish BI governance, security, deployment pipelines, source control, testing, monitoring, and documentation. Lead complex initiatives, evaluate emerging technologies, and translate business needs into scalable solutions while communicating technical recommendations and risks to diverse stakeholders.

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.

Build and transform commercial data solutions using SQL and Databricks, create executive dashboards in Tableau and Power BI, and translate ambiguous business questions into actionable insights. Partner with commercial stakeholders on sales, retail-out, and distribution analytics; identify business trends, standardize reporting, and support enterprise self-service analytics and data maturity initiatives.

Oversee business intelligence initiatives, data standards, integrations, dashboards, reporting, and data quality. Analyze requirements, resolve complex data issues, document data environments, and support user adoption through training and change management. Lead process improvement projects, coordinate testing and deployments, and provide direction to project teams. Collaborate across departments to deliver data-driven insights and KPI reporting while mentoring team members and maintaining compliance with company and gaming regulations.

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.

Leads enterprise data visualization strategy, architecture, governance, and development standards. Designs scalable Tableau-based analytics solutions, analyzes complex business problems, supports project delivery, and provides technical guidance to visualization users. Mentors junior staff, facilitates cross-functional problem solving, and advises leadership on data visualization decisions. Requires healthcare claims processing and Facets expertise, CMS Guidelines knowledge, and familiarity with fraud, waste, and abuse trends.

The Business Intelligence Analyst transforms commercial, financial, CRM, and operational data into actionable insights. Responsibilities include developing governed Power BI dashboards, analyzing performance and process gaps, improving CRM and data quality, defining KPI standards, validating data, facilitating stakeholder workshops, and tracking measurable business improvements. The role partners with business leaders, process owners, and enterprise IT across the Americas.

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.

Own production Power BI development, including reports, dashboards, semantic models, advanced DAX, Power Query, SQL, and dimensional modeling. Design, deploy, troubleshoot, and support scalable analytics solutions; modernize legacy BI systems; improve data quality, security, performance, and release practices; and collaborate with Product, Analytics, Engineering, and business stakeholders. Preferred experience includes Microsoft Fabric, source control, CI/CD, semantic model tools, and regulated industries.

Leads URBN’s enterprise Business Intelligence team, managing onshore and offshore administrators and developers. Responsibilities include prioritizing work, supporting reporting users, defining requirements, establishing documentation and QA practices, coordinating vendors, recommending solutions, and communicating project status. The role requires expertise in BI development, SQL, data models, data lineage, reporting platforms, stakeholder communication, and team leadership.

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.

Develop and maintain BI reports, dashboards, databases, stored procedures, and data systems using Microsoft SQL Server and SSRS. Query, cleanse, migrate, and analyze data, identify anomalies, resolve inconsistencies, and provide recommendations supporting attorney practice groups. The role also provides technical guidance to junior BI developers, supports data quality and infrastructure, and handles ad hoc reporting requests and special projects.