Top Remote Senior Level Analytics Jobs in Philadelphia, PA

As a Senior Analytics Engineer at Spring Health, you will develop and maintain data models using dbt, ensure data consistency and quality, provide documentation for downstream teams, and collaborate with finance and analytics for business metrics. Your goal is to drive effective data access, model performance, and support high-quality insights.

The Director of Data Science & Analytics will lead initiatives to leverage data analytics for business growth, manage reporting and analytics teams, develop strategies using advanced techniques like machine learning, and ensure compliance with data regulations. This role requires an in-depth understanding of the Amazon ecosystem and involves fostering data-driven decision-making across the organization.

As a Senior Data Analyst at Cohere Health, you will validate and clean data for reporting and analytics, collaborate with various teams, enhance data quality checks, oversee ETL processes, and ensure data integrity. This role requires strong analytical skills and experience in healthcare analytics.

The SAP RAR Configuration Analyst specializes in SAP S/4 system's RAR and FICO modules, gathering business requirements, configuring SAP applications, authoring functional specs, and supporting the SAP activities throughout the project lifecycle.

As a Senior Product Data Analyst at SeatGeek, you will analyze seller behavior, develop data models, and build dashboards to provide insights. You will influence product decisions, conduct A/B tests, partner with engineers for data capture, and communicate findings to drive value for the company.

As a Senior Analytics Engineer, you will design, build, and maintain data models, collaborate with various teams on data transformations and governance, and ensure high-quality data products. Your role will focus on leveraging tools like dbt and Snowflake to drive innovation and informed decision-making across the organization.

As a Senior Analytics Engineer at Vouch, you will architect and optimize data models, ensure data quality, collaborate with stakeholders to translate business needs into data assets, and maintain robust data infrastructure. You will work closely with engineering and analytics teams to enhance the usability and integrity of analytical data, using tools like dbt, Snowflake, and Airflow.