Top Analytics Jobs in Philadelphia, PA

Leads the design, development, and support of enterprise analytics, reporting, dashboards, and data models. Partners with business and technology teams to translate requirements into scalable solutions and actionable insights. Develops SQL transformations, Power BI and SSRS reports, and cloud analytics environments using AWS Athena, Snowflake, and Microsoft Fabric. Establishes data governance, quality, security, and reporting standards; troubleshoots complex issues; and provides technical leadership for modernization, cloud migration, mentoring, and continuous improvement initiatives.

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.

Leads advanced Brand and Consumer analytics, integrating insights across marketing mix modeling, forecasting, commercial performance, and digital commerce. Develops data-driven narratives, translates complex analyses into actionable recommendations, and advises executives and stakeholders. Builds trusted client relationships across Marketing, IT, Sales, and Finance while using SQL, Python, statistical methods, and hypothesis-driven analysis to identify performance drivers and business opportunities.

Designs and maintains production data pipelines for AI usage and cloud billing data, normalizing costs for accurate attribution and chargeback. Builds Power BI dashboards, automates recurring financial reporting, implements quality controls and anomaly detection, and ensures reliable, auditable cost data. Partners with Finance and FinOps stakeholders to evolve data models, tagging standards, allocation logic, and reporting as AI consumption grows.

Summer analytics intern supporting dataset analysis, data cleaning, dashboard and report development, KPI tracking, ad hoc analysis, and actionable insights. The role collaborates with cross-functional teams, documents analytical processes, and communicates findings while building practical skills in Excel, SQL, visualization tools, statistics, and cloud-based analytics.

Analyze SAP Community engagement data to identify trends, user interests, and content gaps. Build dashboards and executive reports measuring program reach and impact, support SAP Champions and Mentors workflows, and assist with community events. The role requires Python, SQL, Excel, Power BI, data modeling, and clear communication of insights to nontechnical stakeholders. This is a full-time hybrid internship lasting 6 to 12 months.

Conduct competitive and strategic intelligence research across AI, technology, insurance, and financial services. Monitor emerging trends, funding, news, analyst reports, filings, and market activity; synthesize findings into updates, briefs, profiles, and deep-dive assessments. Build systematic AI-enabled research and reporting processes, identify partnership and product opportunities, and present actionable insights to technical, strategy, and senior leadership teams.

Manages data strategy and analytics for digital media clients, developing measurement roadmaps, advanced analyses, statistical tests, and strategic recommendations. Owns client data technology stacks, translates complex findings into client-ready narratives, partners with media platforms, and mentors analysts. The role involves data clean rooms, modeling, campaign measurement, audience insights, visualization, adtech, and direct client communication.

Leads client-facing marketing analytics and data strategy initiatives, including cross-channel performance storytelling, measurement roadmaps, campaign reporting, custom analysis, and optimization recommendations. Owns client data technology stacks, ensures accurate data feeds, develops visualization and analytics solutions, presents insights, manages client relationships, and mentors peers. The role requires digital media analytics experience, data visualization, marketing measurement, SQL and analytics infrastructure familiarity, and strong communication skills.

Leads complex operational analytics from problem definition through recommendations and outcome measurement. Partners with senior leaders and cross-functional teams to connect operational, client experience, digital, and other data. Develops trusted metrics, measurement frameworks, executive narratives, and proactive insights that improve business performance. Mentors analysts and advances analytical standards and capabilities across the organization.

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.

Develop Power BI dashboards and advanced analytical solutions for pricing and commercial decisions. Analyze complex customer and profitability data using SQL, Python, statistical techniques, predictive modeling, machine learning, and Databricks. Improve data quality through reconciliation, deduplication, and matching. Partner with pricing, sales, and product marketing stakeholders to translate business questions into actionable insights while improving analytics tools, processes, automation, and AI applications.

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.

Leads advanced predictive and prescriptive analytics initiatives supporting DLA Clothing and Textiles demand planning, inventory, budgeting, supply-chain operations, and mission readiness. Develops statistical models, analytical frameworks, dashboards, and self-service products; coordinates data and analytics across JDA, EBS, SAP, EDW, SAS, and other DLA environments. Manages large-scale solution development and deployment, identifies analytics opportunities, and translates complex analyses into actionable stakeholder insights.

Leads executive-level data strategy, governance, architecture, analytics transformation, and enterprise data management engagements. The role involves winning client work, shaping repeatable advisory offerings, overseeing large-scale delivery, advising senior stakeholders, building high-performing teams, and strengthening data-led transformation capabilities across infrastructure sectors.

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.

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.

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.

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.