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

As a Data Engineering and Analytics Manager at Spark, you'll lead the data team, overseeing data engineering, analytics, and infrastructure projects. Your role involves managing and mentoring team members, building scalable data solutions in GCP, transforming messy data into structured formats, and creating dashboards for data-driven decision-making.

As a Data Scientist at Roblox, you will analyze large datasets to drive insights for internal operations, supporting major decision-making processes and improving efficiency. You will develop data pipelines, manage analytics tools, and collaborate with teams to identify key metrics. Your role involves transforming data and prototyping cloud-based analytical solutions.

The Senior Data Scientist will lead analysis and provide insights related to Babylist's fulfillment and operations. Responsibilities include visualizing supply chain performance, improving processes, and collaborating with various teams to drive product decisions informed by data analysis.

The Senior Business Analyst will develop data-driven insights and solutions for multiple business groups, propose innovative strategies, conduct complex analyses, and deliver actionable solutions that align with strategic goals. They will collaborate with stakeholders to shape business direction and develop predictive models for future scenarios.

The Senior Data Analyst at Vouch focuses on building data structures, tools, and models to improve business operations and insurance design. Responsibilities include collaborating with cross-functional teams to identify and standardize data metrics, developing dashboards, performing analyses, and leading data projects.

As a Principal Data Engineer, you will drive the direction of the Data Warehouse, design and optimize ingestion pipelines, and mentor team members. You will ensure data accuracy, monitor pipelines, comply with regulatory requirements, and collaborate with internal teams for comprehensive data integration.

Lead a team of data scientists to deliver analytics solutions that positively impact business outcomes. Manage data science projects, implement predictive models, and improve deployed solutions. Ensure effective communication regarding data science methodologies and support project management practices.