Top Analysis Reporting Jobs in Philadelphia, PA

Supports client data and analytics engagements by designing validation approaches, building data integration and transformation solutions, analyzing data quality issues, testing pipelines with SQL, documenting findings, and recommending corrective actions. The role collaborates with clients, manages workstreams, mentors junior team members, and applies Agile methods while delivering risk and regulatory data solutions.

Build, optimize, and support scalable batch and streaming data pipelines for enterprise workforce, billing, and interaction datasets. Develop cloud-native solutions with AWS, Databricks, PySpark, Kafka, Kubernetes, and Airflow while processing tens of terabytes of data. Provide production support, performance tuning, troubleshooting, and data platform automation. Collaborate across Product, Governance, Analytics, and Engineering teams, support data warehousing and reliability practices, participate in architecture decisions, and mentor junior engineers.

Develop and improve IP geolocation automation algorithms using large datasets and IP network topology. Query, extract, and transform data with SQL, R, Python, MongoDB, and BigQuery; provide insights that improve data quality; and collaborate with engineers, data scientists, and stakeholders to solve complex problems and lead data science initiatives.

The Quantitative Methodologist will design statistically rigorous studies, apply advanced analytics, interpret results, ensure quality, and communicate insights to clients.

Designs, builds, and maintains secure data pipelines, ETL processes, data warehouses, and quality controls. Collects, validates, cleanses, and analyzes data; develops SQL queries, Tableau dashboards, and AWS-based solutions; investigates data integrity issues; documents standards; and partners with stakeholders to deliver technical solutions using Agile and DevOps practices.

Leads commercial analytics strategy and client storytelling for pharma and agency partners. Translates campaign measurement, media mix, healthcare datasets, and cross-brand trends into actionable recommendations that support sales, renewals, product positioning, and client outcomes. Serves as a senior thought partner and public-facing industry voice, presenting data-driven insights to executive stakeholders and conferences while collaborating with Sales, Marketing, Product, and Campaign Measurement teams.

Leads end-to-end analytics projects for FINRA’s regulatory operations, including scoping quantitative methods, developing predictive pipelines, expanding data sources, and delivering analytics capabilities. Promotes advanced analytics adoption, supports cross-market surveillance, engages stakeholders, responds to research requests, and mentors analysts. Requires collaboration across delivery teams and participation in strategic analytics initiatives.

Leads the target-state architecture, standards, modeling, governance, reliability, and evolution of an enterprise data platform spanning lakes, warehouses, integration, semantic layers, and AI-ready capabilities. Resolves complex architecture issues, guides engineering and operations teams, oversees performance, costs, incidents, releases, and data quality, and partners with governance and business stakeholders. The role also mentors technical teams and provides expanded implementation and operational accountability during the first 6–12 months.

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.

Supports data, analytics, systems, automation, and AI initiatives within clinical development. The intern contributes to clinical trial process analysis, data quality improvement, operational decision-making, technology-enabled solutions, and project documentation. The role involves evaluating AI tools, collaborating with cross-functional teams, learning new technologies, and generating actionable insights for pharmaceutical research and development.