Top Remote Analytics Jobs in Los Angeles, CA

The Remote Sensing Systems Analyst at Aerospace Corporation involves evaluating and analyzing technologies related to space and missile systems, preparing technical reports, and collaborating with other experts to support national security missions. The role emphasizes problem-solving skills and the ability to manage technical challenges for various government and commercial customers.

The Analytics Engineer will build and optimize dimensional data models in Databricks, ingest data from various sources, design data structures for BI tools, and enhance business insights through collaboration and data documentation.

As a Principal Governance Risk & Compliance Analyst, you will lead initiatives to ensure robust policies and controls within Red Canary's GRC programs. Your role includes conducting audits, managing compliance certifications, and improving vendor assessments while maintaining alignment with security standards.

As a Principal Analyst, you will conduct detailed modeling and analysis of wholesale power markets, manage large datasets and projects, enhance forecasting capabilities, and collaborate with cross-functional teams. Responsibilities also include writing industry-related content and hosting educational webinars.

The RevOps Analyst will analyze revenue data, manage key initiatives for Sales funnel processes, optimize operations, and conduct ad-hoc analysis to drive strategic decision-making. Key responsibilities include data analytics, process automation, and working closely with Sales leadership to improve operational efficiencies.

The Compensation Operations Analyst will support compensation operations by resolving complex questions, documenting processes, streamlining compensation workflows, maintaining job setups in Workday, auditing data, and assisting with stock administration tasks.

The Data Steward at OpenX will ensure data accuracy and governance within Salesforce, integrating with various platforms. Responsibilities include improving data models, reporting accuracy, and managing automation for efficient decision-making, while collaborating with various teams for data-driven insights and compliance with data regulations.