Top Senior Analytics Jobs in Philadelphia, PA

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

Lead end-to-end digital funnel and customer journey analytics to drive revenue, lead quality, and customer experience. Partner with Marketing, Product, Sales, and Martech to define measurement strategy, enhance tracking and data integration, run experimentation (A/B and multivariate), deliver executive insights, and recommend optimizations for personalization and conversion improvements.

Lead advanced analytics and BI initiatives: define stakeholder requirements, integrate data sources, perform complex analyses and predictive modeling, evaluate campaign results, present insights to executives, mentor junior analysts, and collaborate with IT/data science to improve data warehousing and BI platforms.

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, and maintains scalable ETL pipelines and databases; integrates large-scale data for analytics; develops and tests code, queries, and reports; ensures data quality and governance; leads solution development, trains users, and supports ML and BI initiatives.

Lead advanced analytics for the Payments portfolio, designing end-to-end analyses, translating multi-source data into actionable insights, quantifying growth and risk opportunities, validating data accuracy, measuring strategy impact, and presenting recommendations to senior stakeholders while partnering across product, marketing, and finance.

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.

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

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.

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.

Perform large-scale data acquisition and analysis for Elan's credit card and payments portfolio. Develop statistical and predictive models, interpret trends, produce clear presentations and recommendations, partner with business stakeholders, and monitor results to drive data-informed decisions while ensuring compliance with company standards.

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

The role focuses on developing product-specific analytics strategies, managing projects, and collaborating across teams to integrate analytics into business processes. Expect project prioritization, data analysis, and communication of findings to stakeholders.

Lead intake, grooming, and translation of reporting and analytics requests into actionable requirements. Drive stakeholder sessions, define data logic and metrics, prioritize requests, enable scalable reporting solutions, support delivery and UAT, mentor junior analysts, and improve intake processes to reduce one-off requests and promote reusable, self-service reporting.

Design, build, and operate large-scale distributed analytics pipelines for Comcast X1. Responsibilities include architecture, data integration, QA, releases, production troubleshooting, mentoring, and reliability improvements.

Lead digital analytics strategy by partnering with product and business teams to analyze user journeys, run experiments, build dashboards, and translate multi-source data into actionable insights that optimize digital experiences and drive business outcomes.

Lead enterprise forecasting, metrics, and performance measurement for Financial Advisor Services. Build and validate forecasting models, produce scenario analyses and executive-ready visualizations, set data quality standards, establish recurring reporting, and mentor analysts to drive strategic decision-making and resource allocation.

In this role, you will drive analytics initiatives connecting digital engagement to financial outcomes. You will leverage data, lead performance reporting, and partner with stakeholders to optimize strategies based on analysis.

As a Senior Associate, you will develop Power BI dashboards, enhance low-code solutions, and collaborate with tax teams to meet reporting needs. Responsibilities include maintaining tax technology assets and ensuring data accuracy.

The Lead DBA will design, develop, and maintain MSSQL databases, ensuring performance, reliability, and security while collaborating with development teams on best practices.

Lead CRM and passenger analytics for Philadelphia International Airport. Oversee CRM platforms, feedback systems, dashboards, and data governance to drive passenger experience improvements, operational decision-making, and cross‑functional programs with airlines, tenants, and airport teams.

Lead analytics strategy and a team of product analysts to define KPIs, run experiments, analyze user behavior and growth, build dashboards and self-serve analytics, and partner with Product, Marketing, Risk, Engineering, and Data Engineering to drive data-driven product decisions.

Manage and develop a team of data analysts to deliver strategic analytics projects, ensure data accuracy, build reports and dashboards, translate insights into business recommendations, improve operational processes, coordinate cross-functional projects, and support budgeting and team development.

Lead decision science efforts for corporate and people analytics by designing experiments, performing explanatory and inferential analyses, building diagnostic and multivariate models, synthesizing insights, influencing strategic decisions, ensuring data quality and best practices, and mentoring analytic talent while partnering across the enterprise.