Top Senior Business Intelligence Jobs in Philadelphia, PA

Leads technical operations for analytics and business intelligence systems. Designs architectures and solutions across data warehouses, BI tools, APIs, AWS, and Talend; oversees system changes, monitoring, security audits, and technical debt remediation. Collaborates across departments, implements coding standards, identifies downstream impacts, and mentors team members developing reporting applications.

Develops and maintains Power BI and Microsoft Power Platform solutions in secure government environments. Responsibilities include gathering requirements, analyzing data, creating visualizations and process models, coordinating enterprise platform initiatives, documenting systems, developing and executing test plans, troubleshooting issues, supporting deployments, and training end users. The role requires an active Secret clearance, security certification, extensive Power BI and Power Platform experience, and occasional travel under 10%.

Lead the enterprise data architecture strategy, standards, and governance. Design logical and physical data models, source-to-target mappings, data integration and warehouse architectures, metadata repositories, data dictionaries, and RDM/MDM solutions. Establish data quality, reference data, master data, and metadata policies while supporting business intelligence implementations. Provide technical leadership, mentoring, documentation, testing support, and guidance across database development projects.

Develop and support enterprise business intelligence and data solutions using Power BI, Microsoft Fabric, Power Query, DAX, SQL, automation, and AI technologies. Responsibilities include data transformation, modeling, visualization, reporting, governance, integration, semantic model development, and citizen development enablement. The role collaborates with business and technical teams, mentors users, supports enterprise data architecture, and promotes scalable, secure, high-quality BI practices.

Builds, tests, implements, documents, and supports business intelligence solutions, including reports, dashboards, semantic layers, metadata, stored procedures, and database services. Partners with healthcare operational and business leaders to translate data into actionable insights, answer business questions, support KPI-driven decisions, enable analytics-tool adoption, troubleshoot BI systems, tune performance, and provide occasional on-call support.

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 branch network performance reporting, dashboards, semantic models, and analytical datasets using SQL and Alteryx. Translate banker, branch, market, and enterprise data into actionable insights for senior leaders. Lead analytical projects, manage timelines, communicate executive-ready findings, improve reporting processes, and mentor junior analysts. Partner with Distribution and Consumer Bank leadership in a hybrid, primarily onsite environment.

Develop Power BI and Tableau dashboards, scalable data models, reporting solutions, automation workflows, and actionable analyses using financial, operational, Salesforce, RF, and video performance data. Monitor hybrid terrestrial and satellite delivery systems with tools such as Skyline DataMiner, identify trends and anomalies, and collaborate with stakeholders to deliver business intelligence solutions. The role requires strong communication, business acumen, SQL, Azure, XML, and ETL/ELT expertise.

Leads business intelligence consulting and analytics for external clients. Designs scalable dashboards, reports, visualizations, automated reporting solutions, and data processes using disparate datasets. Identifies trends, resolves complex data issues, and delivers actionable recommendations through executive presentations. Manages client relationships, documentation, reporting support, and analytics governance while mentoring junior employees.

Analyzes data from multiple sources to identify trends, develop member segmentation and lifecycle models, support competitive analysis, and recommend strategies for improving member participation and financial products. Builds reports, dashboards, and data-driven tools for leaders and staff, collaborates with stakeholders, trains power users, and provides ongoing analytical support using SQL, R or Python, ETL, data modeling, and business intelligence tools.

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.

Own the architecture and standards for a trustworthy BI analytics platform. Design data models, ingestion and transformation patterns, lineage, PII controls, reliability SLAs, observability, schema governance, and cost management. Partner with engineers, analysts, business leaders, Security, Legal, and Compliance; enforce testing, CI/CD, infrastructure as code, and data quality practices. Mentor data professionals and document architectural decisions.

The Senior Data Analyst will develop and improve Sigma dashboards, reporting, and business intelligence capabilities. Responsibilities include gathering stakeholder requirements, querying and analyzing complex datasets with SQL, improving data quality and governance, defining metrics, automating reporting processes, and partnering on Snowflake data modeling and warehouse improvements. The role also evaluates analytics tools, delivers actionable insights, and communicates findings to technical and non-technical audiences.

Develop and maintain Power BI reports, dashboards, visualizations, semantic models, and analytics solutions. Translate business requirements into scalable technical solutions, optimize queries and data models, ensure reporting accuracy and performance, and support data governance. Serve as the primary liaison for business users, provide training and troubleshooting, manage tickets, and collaborate with Data and QA teams. The role also advances AI and machine learning capabilities, mentors colleagues, and contributes to automation, documentation, and code reviews.

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.

Design and build PerfectServe’s unified cloud data platform, including ingestion pipelines, integrations, data models, metrics, and consumer-facing data layers. Establish architecture, engineering, quality, and testing standards; enable safe extraction from production systems; partner with data users; and mentor data engineers. The role requires substantial cloud data platform experience, deep SQL, warehouse expertise, ELT, change-data-capture, AWS, modeling, orchestration, and data quality skills.

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.

Leads enterprise Business Intelligence strategy, architecture, governance, security, and self-service analytics adoption. Architects solutions across Power BI, Tableau, SAP BusinessObjects, and Databricks; establishes semantic models, data standards, DevOps, CI/CD, and reporting performance practices. Partners with executives and technical teams to modernize analytics platforms, reduce manual reporting, and enable AI-ready decision-making. Mentors BI professionals and drives enterprise data literacy and analytics transformation.

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 support enterprise BI solutions, including dashboards, reports, governed datasets, data marts, and ETL/ELT processes. Translate business requirements into technical designs, perform data analysis and validation, troubleshoot production issues, and maintain documentation, governance, security, and data-quality standards. Lead-level candidates will guide technical decisions, mentor team members, and coordinate complex initiatives and incidents.

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.

Leads corporate data architecture, standards, and data modeling for database and business intelligence projects. Designs logical and physical data models, source-to-target mappings, data warehouses, and integration architectures. Manages master and reference data initiatives, metadata repositories, data dictionaries, governance policies, data quality rules, and golden records. Provides technical leadership, mentoring, documentation, project guidance, and support throughout the systems development lifecycle.

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.

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.