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.

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.

Leads analytics for enterprise AI platform adoption, establishing engagement baselines, behavioral metrics, activation funnels, retention cohorts, dashboards, and value-realization measures. Diagnoses adoption barriers, translates telemetry and qualitative feedback into recommendations, and partners with learning, community, communications, product, and experience teams. Sets KPI targets, measures sustained behavior and ROI, enables stakeholders to interpret insights, and informs targeted re-engagement campaigns and executive reporting.

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.

Supports client-facing diligence analytics projects by gathering, integrating, and analyzing data; developing data-driven insights; creating dashboards and reports; conducting research and data mining; contributing to algorithm development; and preparing presentations. The intern uses Alteryx and Power BI, collaborates with advisory teams, and gains exposure to cloud platforms, data architecture, data science, and AI applications.

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.

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.

Develop advanced statistical models and custom analyses to address client business challenges. Use R, Tableau, SAS, Visual Basic, Excel, and other analytical tools to guide decisions, create deliverables, and implement solutions. Present findings to clients, manage project updates, build client relationships, and mentor Associates. The role requires quantitative problem-solving, strong communication, teamwork, attention to detail, and a client-first mindset.

Lead analytics workstreams for health plan clients: define problems, analyze data, build models and dashboards, synthesize insights into strategic recommendations, manage client relationships, and collaborate with teams to deliver actionable solutions.

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

Design and apply advanced statistical models and custom analyses (R, SAS, Tableau, VB, Excel) to inform client decisions, communicate results, build client relationships, produce deliverables, mentor junior team members, and support project status and implementation.

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.

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.

Lead complex analyses and modeling to uncover drivers of performance, develop actionable insights and executive-level storytelling, own performance analyses, build decision frameworks, create dashboards, and mentor junior analysts to influence strategic business decisions.

Manage the commercial data foundations used for analytics and reporting. Ensure data accuracy, governance compliance, and enable informed decisions through consistent datasets across finance and marketing.

Design, build, and support data integrations between PeopleSoft/Oracle Fusion and legacy systems (Workday, Veradigm, Meperia). Map and convert legacy data, develop ETL with ODI/SSIS, use PS Query and PL/SQL for transformations, provide Level 2/3 integration support, troubleshoot issues, and collaborate with stakeholders.

Consultants leverage data strategies, governance, and advanced analytics to help businesses achieve strategic initiatives through data-driven decision-making.

The role involves managing client relationships, leveraging analytics for marketing decisions, leading client services, and guiding project management.