Top Remote Entry Level Analytics Jobs in Pittsburgh, PA

The ESG & Compliance Analyst will manage and analyze ESG data for reporting and compliance efforts, ensuring data integrity, developing procedures, and supporting sustainability initiatives. They will also coordinate with various teams to ensure trust and safety compliance and assist in regulatory documentation.

The FinOps Analyst I will work on funds flow creation, new account setup, and reconciliation of DDA account activity. Responsibilities include managing accounts, analyzing account activity, resolving account issues, and following procedures for account management.

The AI Data Analytics Engineer 1 will collaborate with physicians to create synthetic conversation scripts, write and optimize Python code, analyze large datasets for AI model enhancement, and develop solutions for visualizing data trends in healthcare IT.

The Principal Analytics Engineer at HubSpot will be responsible for building and optimizing data pipelines, fostering innovation with emerging technologies, guiding team development, and leading major data projects. They should have expertise in modern data tools, SQL, data modeling, and ETL, among other skills.

The FedRAMP Systems Analyst role involves managing the FedRAMP Authorization program, including preparing and reviewing compliance documentation, documenting security findings, managing technical risks, and facilitating relationships with stakeholders. The role requires collaboration with Product Management and Engineering teams to ensure adherence to FedRAMP standards and ongoing monitoring of security controls.

As a member of the Data Ops team, you will process investment data from venture capital firms, analyze financial statements, assist in onboarding new customers, ensure data accuracy, and collaborate with various departments to streamline data workflows.

As a Data Engineer at Archive, you will build data pipelines, develop AI use cases, architect data infrastructure, and improve reporting practices. You will work with large datasets and collaborate with various teams to solve complex problems and enhance product metrics.