Top Remote Analytics Jobs in Philadelphia, PA

Lead the implementation and development of advanced analytics products utilizing blockchain data to detect and mitigate cryptocurrency fraud, overseeing the entire analytics product life cycle with a collaborative team.

In this role, you will lead deal analytics efforts, providing data-driven insights for strategic decisions, manage client relationships, and develop junior team members while participating in business development activities.

The Actuarial Analyst 2 analyzes and forecasts financial data to support strategic decisions, ensuring data integrity, collaborating with stakeholders, and developing resolutions for data anomalies.

The Lead Marketing Analyst will analyze data to guide marketing strategies, manage a team, and improve campaign performance using analytics and dashboards.

As an Analytics Engineer, you'll build foundational data infrastructure for GTM, design data marts, establish metric governance, enable AI insights, and collaborate across teams for scalable analytics.

Lead and scale advertising analytics and tooling to optimize paid-media performance and incrementality. Build predictive and prescriptive models (forecasting, pacing, bidding, attribution), enable automation and self-service insights, and partner cross-functionally to align ad strategy with business goals while coaching a high-performing analytics team.

Lead analytics strategy for channel marketing, build attribution and incrementality frameworks, run experimentation and forecasting, surface optimization insights, and grow a high-performing analytics team to improve ROI and guide investment decisions.

As a Senior Manager, Analytics, you'll lead a team of analysts to shape experiments, define metrics, and analyze data across initiatives, contributing to data culture and AI-driven innovation.

The Manager I, Analytics will lead a team to enhance data models, ensure data quality, troubleshoot issues, and manage analytics workflows, impacting healthcare information delivery for beneficiaries.

The Senior Analytics Engineer will design and maintain analytics architecture, data models, and transformation pipelines to provide accurate insights. They will ensure reliability and quality of analytics data and collaborate across teams to support AI and machine learning initiatives.

Own customer reporting and analysis across lifecycle metrics (acquisition, retention, churn, LTV). Write and optimize complex SQL in Snowflake, build standardized datasets and dashboards, analyze cohorts and subscription dynamics, support experimentation and measurement, ensure data accuracy through QA and documentation, and deliver executive-ready insights to cross-functional teams.

The Sales Analytics Consultant partners with Sales Leadership to analyze sales data, improve forecasting and pipeline health, and create actionable insights through dashboards and reports.

Design and maintain ETL/ELT pipelines for data, optimize workflows for analytics and machine learning, and ensure data quality and governance.

The Financial Analyst will apply financial analysis and AI-driven insights to support a dental practice management software platform, focusing on subscription revenue, forecasting, and operational performance.

The Senior Business Operations & Analytics leader will support executive decision-making, define metrics, and improve operational efficiency across Filmhub, partnering closely with the CEO and other leaders to enhance performance and clarity as the company scales.

As a Senior Analytics Engineer, you will build data models, ensure data quality, collaborate with teams, and champion analytics best practices to influence business growth.

Lead the Global Analytics team at Hitachi Vantara, driving data-driven decision making by managing data analysis projects and mentoring analysts.

The Finance Analytics Engineer will develop analytics-ready data models, collaborate with stakeholders to design data solutions, and support Finance reporting and AI use cases.

Manage delivery of analytics projects in healthcare, translating business questions into data analyses and collaborating with cross-functional teams to meet client needs.

Lead technical transformation of Enterprise Operational Reporting, architect scalable analytics solutions, mentor analysts, and oversee DevOps practices.

Lead and scale the Analytics and Data Science functions, empowering teams to deliver insights that drive business outcomes and foster a data-driven culture.

Lead Data Sciences and Analytics team in delivering insights for drug development. Manage clinical data, develop models, and ensure compliance. Collaborate with stakeholders to facilitate data integration and visualization.

The Ecommerce Data Analytics Manager analyzes pricing, profitability, and marketing performance to optimize revenue and improve decision-making across the ecommerce business.

The Senior Analyst, Revenue Operations is responsible for delivering analytical insights, enhancing forecasting accuracy, and optimizing revenue processes while collaborating with various departments.

The Senior Predictive Analytics Analyst builds predictive models to inform business decisions, collaborating with teams and ensuring regulatory compliance.