Top Senior Data & Analytics Jobs in Philadelphia, PA

The Quantitative Methodologist Expert will design and deliver complex quantitative research solutions, applying advanced methodologies to address business questions and drive data-driven outcomes.

Partner with Total Rewards stakeholders to design and execute analytics that evaluate employee wellbeing and benefits program ROI. Combine and validate data from claims, utilization, and other sources, build forecasting and advanced-analytics models, and deliver dashboards and executive summaries. Lead project workstreams, mentor junior analysts, and ensure data quality, compliance, and actionable insights to inform benefits strategy.

Monitor and analyze competitor strategies, product offerings, pricing, and performance across internet, mobile, and entertainment. Quantify impacts of competitive, consumer, and macroeconomic trends. Synthesize data into executive-ready presentations and actionable insights to inform tactical decisions and long-term strategy. Build CI tools, frameworks, and reporting; partner cross-functionally to answer strategic questions. Support variable schedules including nights and weekends.

Drive BI and analytics initiatives: gather requirements with business leaders, query large datasets across Teradata/SQL Server/Hadoop/AWS, build predictive models, evaluate campaigns, and present executive-ready visualizations while ensuring data governance and privacy.

Own and evolve the Collibra meta-model, integrations, and workflows. Design configurations and security/lineage standards, automate workflows, coordinate changes with Pfizer Global Supply, perform risk/impact assessments, and support development/test/production environments to make trusted data discoverable and usable.

Lead a team evaluating new and existing data assets, standardize due-diligence and analytical methodologies, validate data quality and business value, partner with Product and Technology to support onboarding and OneTru cataloging, establish governance and lineage standards, and coach team members to drive data-driven product and revenue decisions.

The Senior Analyst in AML KYC will conduct detailed customer onboarding, monitor client relationships for compliance, and update KYC records while utilizing AI tools for efficiency.

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.

Design and build data validation, integration, and transformation solutions to support ERP implementations and risk/regulatory clients. Develop data pipelines and infrastructure, manage data validation processes, ensure data lineage and quality, manipulate large datasets using Excel, Alteryx, SQL, Python, Databricks, or Snowflake, and collaborate with clients to deliver scalable, governed data solutions.

The Senior Relativity Archiving Analyst will vet, archive, and purge Relativity workspaces and file shares, collaborating with management and documenting the approval process for archived data.

Lead analytics projects by translating business needs into analytical approaches, acquiring and validating data, performing advanced analyses, and delivering visualizations and presentations. Own recurring reports, validate methods, and mentor junior analysts while participating in special projects.

Lead and manage an analytics team: hire, train, set performance standards, and consult with business partners to implement scalable analytics and BI tools. Drive enterprise analytics strategy, governance, budgeting, and deliver actionable insights to senior management while representing the firm externally.

Lead analytics for incentive compensation programs: define KPIs, build scalable pipelines, ensure data quality and audit-ready reporting, reduce operational risk, simplify reporting, partner with distribution/HR/compliance, and manage a team of analysts.

Lead a cross-functional actuarial team to build and scale pricing/rating capabilities on the Earnix platform. Own technical model buildout, automation, analytics, collaboration with data science and engineering, vendor management, and talent development while driving strategic initiatives and translating complex technical work for business stakeholders.