Top Data & Analytics Jobs in Philadelphia, PA

Develop and maintain recurring, ad hoc, management information, and client-facing reports for senior leadership, internal stakeholders, relationship teams, and clients. Partner with business stakeholders to gather reporting requirements, create reporting enhancements, streamline and automate processes, and maintain documentation covering methodologies, data sources, and procedures. The role requires strong Microsoft Excel skills and familiarity with Power BI and Tableau; SQL and data warehouse experience are preferred.

Lead solution onboarding and customized client delivery for alternative investment services. Translate business requirements into technical specifications, configure systems, manage reporting and file-extract projects, develop end-to-end test cases, oversee process improvements, analyze client requests, and coordinate with developers, QA, fund accountants, investor services, relationship managers, and external stakeholders.

Leads catastrophe risk analytics for alternative risk transfer programs, managing modeling teams, RMS/AIR workflows, portfolio rollups, pricing, event response, vendor strategy, and data automation. Translates catastrophe model outputs into underwriting and reinsurance decisions while overseeing ETL pipelines, exposure data quality, advanced analytics, reporting, and cloud modernization using Azure Databricks and related technologies.

Rotational program for recent graduates supporting technology and analytics teams. The associate will learn through multiple rotations, build automation or improve existing workflows, create operational reporting and metrics, support controls and audits, collaborate with cross-functional partners, and complete talent development training. The role focuses on Deposit Operations for the Bread Savings program and requires strong communication, Microsoft Office proficiency, reporting skills, and workflow automation knowledge.

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.

Leads enterprise data management and governance strategy, standards, policies, lifecycle practices, metadata, data quality, and regulatory alignment. Partners with data owners, stewards, business leaders, architecture, analytics, and technology teams to improve data maturity and embed governance requirements. Chairs governance committees, drives quality controls and remediation, facilitates change management, promotes adoption, and advises on data definitions, lineage, cataloging, classifications, and enterprise data roadmaps. This role emphasizes influence and governance rather than hands-on engineering or ETL/ELT development.

Drive global insights excellence across B2B markets by enabling research methodologies, KPI frameworks, reporting standards, and shared insight language. Translate business priorities into structured insight needs, guide stakeholders in interpreting research and analytics, orchestrate activities across markets and partners, maintain governance, and improve methodologies and ways of working. The role requires strong stakeholder management and the ability to turn complex information into clear, actionable business outputs.

Lead enterprise Power BI and Microsoft Fabric analytics initiatives from strategy through implementation. Responsibilities include designing semantic models, DAX, SQL queries, dashboards, row-level security, dataflows, pipelines, Lakehouse and Data Warehouse solutions, Spark notebooks, deployment pipelines, workspace governance, and data governance. The role partners with senior stakeholders, standardizes KPIs, enables self-service analytics, and supports analytics modernization in regulated industries.

Build AI-assisted interactive data visualizations, calculators, simulations, and internal web applications using Claude Code, React, and live data integrations. Translate ambiguous stakeholder needs into prototypes, then deploy and improve production-quality tools with reliable data pipelines, authentication, and performance. Collaborate with data engineering, establish reusable development patterns, train analysts on code-first workflows, and replace legacy BI dashboards with purpose-built applications.