Top Analytics Jobs in Philadelphia, PA

Leverage data analytics, business intelligence, and Python to deliver strategic insights and tailored solutions for clients. Build reports, dashboards, data pipelines, and support data architecture and quality initiatives. Analyze data from multiple sources to identify trends, improve operations, and inform decision-making. Collaborate with stakeholders and team members while continuously developing technical skills and contributing to process improvements.

As a Decision Analytics Associate Consultant, you will develop statistical models, apply analytic techniques, and communicate results to clients. You will also design custom analyses and guide team projects while mentoring Associates and maintaining client relationships.

Provide quantitative analytics consulting to clients by defining business information needs, identifying appropriate data, executing analytical plans, evaluating results, and communicating actionable findings. The role requires collaboration with clients, expertise in advanced modeling and analytics tools, familiarity with client processes, and the ability to lead teams and advise senior decision-makers.

Leverage data analytics, business intelligence, and data science techniques to deliver strategic insights and solutions for clients. Build reports, dashboards, data pipelines, visualizations, and data architecture using tools such as Oracle BI, QlikView, Spotfire, and BIRT. Ensure data quality, manage stakeholder relationships, improve analytics processes, interpret complex datasets, and mentor junior team members while contributing to client projects and business strategy.

Design and execute advanced statistical and data analyses for client projects, using tools such as R, Tableau, SAS, VBA, and Excel. Translate data into actionable insights, communicate findings to clients and internal teams, collaborate on solution implementation, and take ownership of project deliverables.

As a Decision Analytics Consultant, you'll leverage RWD and RWE analytics to support pharmaceutical clients by generating insights and conducting analyses for evidence generation and HEOR studies.

Designs, builds, tests, and supports enterprise data pipelines and Snowflake archival solutions for acquisitions, integrations, reporting, compliance, and analytics. Translates business and technical requirements into mappings, transformations, quality rules, and deployment plans. Collaborates with architecture, security, infrastructure, application, business, and vendor teams. Oversees validation, monitoring, documentation, cutover, go-live readiness, hypercare, and operational handoff while improving reusable, secure, cost-efficient data engineering practices.

Designs and implements governed enterprise data pipelines and Snowflake archival solutions supporting acquisitions, integrations, compliance, reporting, and analytics. Partners with architecture, security, application, infrastructure, business, and vendor teams to translate requirements into scalable pipelines, mappings, quality controls, monitoring, documentation, and deployment plans. Leads migration, cutover, validation, hypercare, and operational handoff activities while improving reusable engineering patterns, automation, performance, cost efficiency, and data observability.

Own marketing analytics, reporting, dashboards, metric definitions, and customer attributes. Connect Google Analytics, HubSpot, and Salesforce data; support segmentation, campaign measurement, funnel reporting, and data-quality improvements. Partner with Marketing, Data, Revenue Technology, Product, and Engineering to translate business needs into reliable reporting and actionable insights.

Administers and optimizes the HRIS, including configuration, upgrades, integrations, troubleshooting, and data governance. Develops standard and ad hoc reports, KPI dashboards, regulatory reports, and employee survey outputs. Analyzes workforce data to identify trends, recommend improvements, and support strategic decisions. Partners with vendors and IT on system enhancements while ensuring data integrity, privacy, and operational efficiency.

Build and maintain data ingestion, staging, historical repositories, canonical models, exception management systems, data quality controls, reconciliations, and lineage documentation for regulatory reporting and risk analytics. Analyze complex data issues, support testing and production activities, and collaborate with risk, compliance, audit, business, and technology stakeholders. Develop datasets for Power BI and executive reporting within regulated financial services environments.

Designs, builds, tests, and supports enterprise data pipelines for acquired-company system integration and Snowflake archival. Translates business and technical requirements into mappings, transformations, quality controls, monitoring, and deployment plans. Collaborates with architecture, security, infrastructure, application, business, and vendor teams to deliver governed, reusable data solutions. Supports migration, cutover, validation, documentation, hypercare, and operational handoff while improving automation, performance, cost efficiency, and data observability.

Designs and implements governed enterprise data pipelines supporting acquisitions, system integration, archival, reporting, analytics, and compliance. The role uses Snowflake to build scalable ingestion, transformation, validation, reconciliation, and archival solutions. It partners with architecture, security, infrastructure, application, business, vendor, and M&A teams; creates mappings and documentation; supports migration, cutover, go-live, and hypercare; and leads reusable, secure, observable data engineering practices.

Manage client relationships by delivering insights from Crossix Analytics Products, ensuring successful engagement through analytical thinking and project management.

Leads marketing analytics, predictive modeling, segmentation, and experimentation to improve acquisition, retention, and pipeline performance. Designs and maintains machine learning models, governs A/B and multivariate testing, translates insights into campaign execution, and evaluates analytics platforms. Manages budgets, regulatory compliance, strategic initiatives, and team performance while partnering with Finance, Sales, Operations, IT, and servicing teams. The role is fully on-site with occasional adjusted schedules.

Build and maintain production data models supporting supply chain, merchandising, marketing, and CRM decisions. Own data integrity, transformation logic, availability, testing, monitoring, documentation, and efficient data access. Partner with business and engineering teams to translate questions into durable models and self-service tools. Develop Looker dashboards, automate reporting, identify data gaps, define data product requirements, and support tracking improvements.

Analyze customer, product, category, and digital marketing data to identify trends, risks, and growth opportunities. Build dashboards, maintain reporting processes and data structures, translate findings into actionable recommendations, and present insights to technical and non-technical stakeholders. Partner with marketing channel owners and cross-functional teams to support customer acquisition, retention, lifecycle health, and global retail growth.

Leads fraud strategy through trend analysis, root-cause investigation, mitigation recommendations, and fraud-control optimization. Manages and mentors 2–5 fraud analysts, evaluates detection tools and data sources, monitors performance metrics, and communicates risk insights to leadership. Partners with Operations, Compliance, Credit, and Product teams to implement compliant fraud strategies and reduce losses while supporting growth.

The Oncology Analytics & Insights Lead drives oncology analytics strategy and execution, partnering with senior stakeholders to deliver actionable insights and support commercial strategies across the organization.

Leads the Underwriting Data Engineering team and oversees the design, development, and productionization of scalable data and machine learning pipelines. Responsibilities include feature engineering, data preparation, model deployment, data validation, governance, monitoring, API integration, analytic data products, roadmap development, stakeholder collaboration, and team coaching.

The Data Scientist will improve performance through innovative analytics solutions, collaborate with stakeholders to solve business problems, and design models to derive insights.

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.

Analytics interns will research company data, write analytical code, uncover insights, and communicate actionable recommendations to leadership. Interns may join Strategic Analytics, Risk, or Business Planning & Analysis teams, collaborating in a fast-paced fintech startup. The 10–12-week program includes mentorship, data challenges, team interviews, and opportunities to support business decisions.

Manages actuarial and quantitative analytics for marine and boiler insurance products. Leads strategic initiatives, performs pricing, reserving, forecasting, statistical, and research analyses, and communicates insights to business partners and leadership. Drives process improvements, manages projects, mentors staff, supports talent development, and contributes to underwriting, product management, and enterprise initiatives.

Leads the Marketing Analytics function and team, setting strategy, operating models, measurement frameworks, and analytics priorities. Advises executives on customer acquisition, marketing investment, and commercial strategy through actionable insights. Oversees experimentation, KPI reporting, data quality, governance, AI adoption, and cross-functional collaboration with Marketing, Product, Finance, Operations, Data Science, and Engineering.