Top Data & Analytics Jobs in Philadelphia, PA

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.

Supports M&A acquisition integrations by collecting, cleaning, normalizing, validating, reconciling, and mapping seller data into Quench systems. Coordinates with sellers and internal teams to resolve data issues, maintain readiness trackers, prepare cutover materials, and verify migrated customer, billing, service, route, asset, and pricing data. Develops reporting and dashboards while partnering with IT on AI-enabled data intake, validation, exception management, workflow summarization, and process improvement. The role offers progression toward integration leadership within 12–18 months.

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.

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.

The Principal will lead data engineering projects, support pipeline development, ensure compliance with regulations, and collaborate with researchers to meet data requirements.

The Business Analyst will develop and manage BI solutions, perform data analysis, and communicate effectively with both technical and business teams.

The BI Developer will create and manage Enterprise reporting using Power BI, collaborate with users for optimized visualizations, build data models, and ensure governance, while enabling self-service BI and driving process improvements.

Design and produce interactive dashboards and visualizations (Tableau/Power BI) to communicate child-welfare data. Lead project teams, partner with analysts and IT, translate complex analyses for diverse stakeholders, and train staff on data communication and dashboard use.

Design, build, and optimize modern Azure and Databricks data platforms for clients. Develop batch and streaming ingestion pipelines, lakehouse and medallion architectures, dimensional models, and transformation workflows. Lead discovery sessions, requirements workshops, architecture discussions, and solution reviews. Recommend practices for governance, lineage, monitoring, DevOps, security, and data modeling while translating business needs into scalable technical solutions and communicating with technical and executive stakeholders.