Top Data & Analytics Jobs in Philadelphia, PA

Design, build, and operate scalable batch, streaming, and CDC data pipelines across Snowflake and AWS. Lead ETL/ELT architecture, orchestration, data modeling, quality monitoring, observability, incident resolution, and performance optimization. Develop production solutions in SQL and Python, establish engineering standards for testing and CI/CD, and partner with Analytics Engineering, Data Science, Product, and Engineering teams to deliver reliable data products.

Design, develop, and maintain scalable ETL/ELT pipelines using Python, PySpark, Snowflake, and Azure technologies. Build data ingestion frameworks, dimensional data models, and enterprise warehouse solutions. Optimize Snowflake workloads, implement data quality and governance controls, monitor production pipelines, troubleshoot incidents, document data processes, and collaborate with architects, analysts, data scientists, and business stakeholders. Support secure, compliant, reliable data platforms for analytics, reporting, and operational use cases.

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.

Leads enterprise data, business intelligence, reporting, and customer and product usage analytics. Owns strategy, architecture, governance, data quality, platform transformation, migration, operational stability, budgets, and partner management across cloud data platforms and BI tools. Manages multidisciplinary data and analytics teams while translating business priorities into scalable, trusted reporting solutions.

Cleans, analyzes, validates, and reports HIV program data from CAREWare, EvaluationWeb, surveillance, testing, prevention, and other sources. Develops data quality checks, resolves inconsistencies, matches datasets, supports reporting and quality management, provides technical assistance to subrecipients, troubleshoots data systems, and translates findings into actionable recommendations for public health leadership and programs.

Leads Data Operations, including reporting, dashboards, data warehouse and dbt model oversight, data quality, governance, service levels, incident response, and stakeholder prioritization. Manages and develops data professionals while partnering with Data Engineering, Security, Privacy, Compliance, and Enterprise Architecture. Ensures reliable, secure, well-documented data services and protects PHI through appropriate access, privacy, lineage, retention, and monitoring controls.

Conduct and manage quantitative and qualitative public health research: design studies and surveys, collect and clean data, perform statistical analyses, match health datasets, guide IRB approval, and translate findings into reports, briefs, visualizations, and policy-relevant communications.

Advance investment data, reporting, and technology capabilities by designing scalable data pipelines, monitoring and resolving data exceptions, building reports and dashboards, supporting product management and UAT, improving automation and governance, and partnering cross-functionally to maintain data quality and documentation.

Design, develop, and maintain enterprise data solutions and pipelines using Azure data platform and Microsoft Fabric. Support data modeling, master data management, medallion architecture, data quality, and integrations to produce trusted, scalable data for analytics and BI.

Analyze user behavior data and produce reports using advanced Google Analytics configuration, Google Tag Manager, R, and visualization tools. Aggregate data from e-commerce and marketing automation platforms, including Drupal-based sites, and collaborate with technology, product, and marketing teams to apply analytics toward business challenges.