Top Remote Senior Level Data & Analytics Jobs in Philadelphia, PA

The Manager, Data Governance will lead data governance initiatives, ensuring data accuracy and reliability primarily within Salesforce. Responsibilities include managing a team, developing a governance strategy, resolving data issues, and collaborating across departments to enhance data quality and support business decisions.

The Principal Sampling Statistician will design and execute sampling and weighting plans for surveys, apply statistical principles for data analysis, prepare reports and presentations, and advise on statistical methods related to sampling. They will also advance the organization's reputation through conferences and client consultation on statistical issues.

The Data Architect will develop datasets for data visualization and machine learning, automate pipelines for structured and unstructured data, and collaborate with teams to create data products. This role includes building ingestion pipelines, providing thought leadership, and ensuring project delivery from design to launch.

As a Senior GTM Data Strategist, you will lead analytics initiatives to enhance student safety solutions, build data infrastructure, and develop strategic insights for growth. Responsibilities include creating dashboards, managing ETL processes, and mentoring team members while collaborating with C-Suite executives.

Responsible for developing tailored data science solutions, leveraging machine learning techniques to transform complex datasets into actionable insights, communicating findings, designing scalable models, and working cross-functionally with teams to integrate data science solutions.

The Revenue Cycle & Billing System Configuration Analyst at Natera supports insurance billing processes and system configuration, collaborates with cross-functional teams for process improvement, and assists in troubleshooting and training related to revenue cycle management.

The Senior Data Engineer is responsible for analyzing existing data sets, defining data requirements, and performing statistical modeling to improve decision-making processes. Key responsibilities include managing projects, coaching lower-level professionals, developing reports using SQL, and delivering analytic solutions while ensuring data quality and compliance with development standards.