Top Business Intelligence Jobs in Philadelphia, PA

Lead design and delivery of reusable, AI-ready data products and interoperable data-engineering artifacts for retail-banking portfolios. Manage data product lifecycles, ensure data integrity and governance, create self-service analytics, and align technology and business teams in a matrixed organization.

As Head of Investment Data, you will define and drive data strategy, governance, and operations to enhance investment decision-making and client outcomes.

Lead enterprise data modeling, governance, and data product efforts to ensure trusted analytics. Translate business requirements into scalable data models, implement data lake/lakehouse solutions, manage data discovery/profiling, define lineage and business rules, and lead UAT. Partner with engineering and operations teams to implement governance, maintain data quality, and document lifecycles. Support stakeholder communication, estimate project timelines, and work variable schedules including nights and weekends.

The Data Scientist will improve performance through innovative analytics solutions, collaborate with stakeholders to solve business problems, and design models to derive insights.

Lead design and build of ETL pipelines and Gold Layer tables in Databricks; develop semantic layers, data dictionaries, and AI-ready documentation; create dashboards and ad-hoc analyses to surface marketing and sales KPIs; partner with stakeholders to translate requirements into analytics-ready datasets and enable self-serve BI and agentic AI workflows.

Lead advanced analytics and BI initiatives: define stakeholder requirements, integrate data sources, perform complex analyses and predictive modeling, evaluate campaign results, present insights to executives, mentor junior analysts, and collaborate with IT/data science to improve data warehousing and BI platforms.

Lead integration of technology into information systems, design data warehouse and BI capabilities, define data architecture and dictionaries, centralize disparate data, design dashboards, document system architecture, perform data quality and management, and provide solution engineering, pilots, and enablement for analytics and resource management.

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.

The Data & Accounting Analyst will analyze financial and marketing data, create detailed reports, and ensure accuracy in financial data to support strategic decisions.

Contract PL/SQL developer to design and maintain Oracle PL/SQL code, perform ETL work, and support data warehousing and BI initiatives. Experience with Informatica, Teradata, and optionally Pentaho preferred. 6–12 month position based in Philadelphia.

The Director of Data and Enterprise Applications oversees the architecture, development, and support of business applications and data platforms, driving digital transformation and ensuring data integrity and accessibility.

Designs and develops BI solutions from an enterprise EHR reporting database to support quality, compliance, and operations. Builds reliable datasets using advanced SQL and EHR knowledge (Caboodle/Clarity), creates visualizations using best practices, translates clinical and operational requirements into technical specs, performs root-cause data analysis, and mentors junior team members.

Designs and develops enterprise-level BI solutions for healthcare quality, compliance, and outcomes research; mentors BI team members; partners with data engineering; extracts and analyzes EMR data (ideally EPIC); authors technical/functional specs, tests, documents, and maintains application code and data transformations.

The Business Intelligence Developer designs and develops Power BI dashboards, optimizes data models, and collaborates with BI Engineers to enhance data solutions.

Design, develop, and maintain ETL processes and advanced SQL queries; build and manage SSRS reports and SSIS jobs; transform complex datasets into visualizations; troubleshoot ETL/job failures; work with SQL Server and Teradata; collaborate with business stakeholders to deliver BI solutions.

Design, build, and maintain BI reports and KPIs; analyze large customer datasets; support ETL and data migration into the Enterprise Data Warehouse; deploy analytic models in self-service reporting; perform ad-hoc analysis; produce regular executive reporting; partner with business owners and data warehouse team to translate business rules into data solutions.

Analyze large customer datasets, deploy analytic models in self-service reporting, support ETL and data migration to the enterprise data warehouse, produce executive reports, perform ad-hoc analysis, design KPIs, and partner with business and leadership to translate rules into data-driven results.

The SQL Developer will support the full project lifecycle, writing SQL procedures, improving database performance, and maintaining database objects.

Use knowledge of 529 and CSA plan mechanics and regulatory rules to produce compliant, accurate reporting. Design data models, queries, and governed analytics; identify and resolve data discrepancies and system issues. Manage end-to-end reporting cycles, automate manual processes, support data pipelines with engineering/product, handle reporting requests, draft Jira epics/stories with acceptance criteria, and document workflows, data models, and quality control procedures.

The Senior Data Analyst oversees performance reporting tools, automates data pipelines, conducts quantitative analyses, and communicates findings to various stakeholders.

Develop, maintain, and validate Power BI reporting solutions by integrating data from multiple systems, building data models, writing SQL and DAX, ensuring data quality and reconciliation, and partnering with business stakeholders to deliver actionable analytics.

Lead design, implementation, and optimization of CCH Tagetik-based financial planning and reporting solutions. Build and maintain Tagetik data models, ETL workflows, reports, and Power BI dashboards. Improve system performance, enforce data governance, perform root-cause analysis, support upgrades, and train stakeholders to enable data-driven FP&A decision-making.

Lead a team to deliver BI dashboards, optimize reporting infrastructure, and implement analytics solutions while providing best practices for data visualization.

Lead a team of data visualization analysts to deliver dashboards and optimize BPM reporting infrastructure while driving analytics strategy and best practices.

Design, develop, and maintain Snowflake-backed semantic models and Power BI reports; build SQL queries, functions, and stored procedures; use AI-assisted tooling (Claude, MCP) to accelerate BI development; manage work in Azure DevOps, version control with GitHub; ensure QA, documentation, stakeholder communication, and mentor fellow developers.