Top Entry Level Data & Analytics Jobs in Philadelphia, PA

Performs quantitative catastrophe risk analyses using existing models to estimate client exposure and potential losses from natural and man-made catastrophes. Reviews and validates client exposure data, identifies abnormalities, prepares reports and presentations, communicates with clients on routine projects, and researches scientific and industry information on regional perils.

Leads enterprise data architecture, integration, governance, and system connectivity across commercial and education platforms. Oversees databases, data systems, security, compliance, performance, scalability, and reliability. Translates business needs into technical solutions, drives data initiatives and continuous improvement, establishes data standards, troubleshoots system issues, and mentors stakeholders and team members. The role requires cross-functional collaboration across technology, commercial, and education functions in a regulated MedTech environment.

Analyzes investment data and operational processes, resolves data-quality issues, develops metrics and dashboards, documents workflows, and supports project coordination. The role partners with investment, technology, operations, and external stakeholders on process improvement, change management, risk mitigation, and operational transitions. It communicates findings, tracks project deliverables, performs root-cause analysis, and improves data quality and operational effectiveness.

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.

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.

Supports payment fraud prevention through system monitoring, fraud trend research, false-positive analysis, quality checks, and strategy evaluation. Helps develop risk-based fraud controls and improve customer experience. Identifies automation opportunities and assists with Power Automate, VBA, and basic scripting projects to reduce manual work, streamline operations, and improve data usage and team efficiency.

Design, develop, and maintain scalable ETL/ELT pipelines using Python, PySpark, Snowflake, and Azure technologies. Build data ingestion frameworks, dimensional data models, and enterprise warehouse solutions. Optimize Snowflake workloads, implement data quality and governance controls, monitor production pipelines, troubleshoot incidents, document data processes, and collaborate with architects, analysts, data scientists, and business stakeholders. Support secure, compliant, reliable data platforms for analytics, reporting, and operational use cases.

Analyze business processes, systems, and datasets; gather requirements; design data models; implement governance and data quality practices; develop databases, analytics, reports, and visualizations; interpret statistical results; and communicate actionable insights to technical and business stakeholders. Collaborate with data engineers, architects, scientists, and product owners to deliver client solutions.

Gather and verify metals recycling pricing data, set price assessments per methodology and IOSCO principles, write market commentary and news, expand and manage industry contacts, peer-review pricing, provide coverage for colleagues, engage markets through events and presentations, and handle market inquiries.

The SQL Developer will support the full project lifecycle, writing SQL procedures, improving database performance, and maintaining database objects.