Top Remote Analysis Reporting Jobs in Philadelphia, PA

Own Silver and Gold medallion-layer modeling and semantic layer governance using dbt and SQL. Improve warehouse performance and cost, standardize BI tooling, collaborate with stakeholders to produce trusted metrics, troubleshoot data quality, and evolve analytics platform.

Manage analytical service operations by overseeing a team, designing software for data mining, developing statistical models, and generating insights for marketing outcomes. Provide training and mentorship to direct reports.

Leads strategic corporate research supporting Boycott, Divestment, and Sanctions advocacy campaigns. Coordinates collaborative research with partners and allies, conducts analysis of corporate targets, responds to information requests, manages the Investigate project website, and develops educational, training, and campaign materials. The role also represents AFSC within movement coalitions, supports events and trainings, and manages multiple priorities independently in a remote environment.

Designs, builds, tests, and maintains secure, scalable cloud data platforms, pipelines, ETL/ELT processes, data models, data marts, integrations, and reporting services. Supports data migration, archiving, disaster recovery, governance, metadata management, data quality, CI/CD deployments, and performance optimization. Collaborates with architecture, governance, migration, QA, and business teams in an Agile federal environment while maintaining audit-ready documentation and mentoring junior engineers.

Leads global Master Data Management governance, including data and systems landscapes, policies, quality standards, domain assignments, decision rights, and strategic initiatives. Oversees data harmonization across Commercial, Supply Chain, R&D, and Corporate Systems, while partnering with technology and business leaders on enterprise data warehouses, data lakes, AI readiness, process improvements, training, and operational capabilities. Manages and mentors teams, external partners, and improvement programs while ensuring compliance, performance measurement, and alignment with organizational objectives.

Lead analytics and data science initiatives to drive measurable business outcomes across various functions, including Underwriting and Claims. Oversee the full analytics lifecycle, foster stakeholder engagement, and mentor junior team members.

Designs, develops, and maintains Power BI dashboards, reports, visualizations, and data models. Translates stakeholder requirements into reporting solutions, integrates SQL, Excel, and cloud data sources, optimizes queries and report performance, ensures data accuracy and access controls, and supports data governance. Provides documentation, user guidance, and training while continuously improving analytics solutions.

Lead enterprise data architecture strategy and implementation across cloud data platforms, integration ecosystems, analytics, AI, and operational systems. Design scalable lakehouse or warehouse architectures, canonical data models, governance frameworks, data products, and secure healthcare data integrations. Partner with engineering, product, analytics, AI, security, and executive stakeholders while mentoring technical teams. The role requires deep expertise in modern data platforms and integration, with healthcare or insurance experience preferred.

Leads the organization’s data strategy, analytics, and measurement capabilities. Advises enterprise clients on attribution, incrementality, marketing mix modeling, customer acquisition, and lifetime value. Oversees analytical workstreams, data products, dashboards, measurement tools, and the analytics roadmap while partnering with strategy, sales, client services, and AI teams. Builds data literacy through training and thought leadership, mentors talent, supports commercial growth, and represents the company at industry events.

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.