Top Remote Data Analysis Jobs

The Senior Geospatial Analyst performs advanced geospatial analysis, ensuring data integrity and quality, while supporting mission partners with actionable geospatial products. Responsibilities include data validation, quality control, metadata development, and stakeholder collaboration, along with mentorship of junior team members.

The Assistant Director & Associate Actuary analyzes and evaluates actuarial pricing performance and develops state performance metrics. They communicate findings, create analytical tools, and enhance partnerships with various teams to improve organizational capabilities.

The Portfolio Analyst role involves analyzing lending portfolios, developing risk dashboards, forecasting risks, ensuring data integrity, and collaborating with cross-functional teams to optimize loan performance.

As a Senior GTM Data Scientist, you will develop predictive models, analyze experiments, and provide actionable insights to GTM teams.

The Scientist III supports laboratory operations by maintaining LC-MS instruments, troubleshooting issues, and performing LC and LC-MS analysis for investigational compounds.

The Lead Risk Analytics Data Scientist will develop risk pricing, design data models, automate workflows, and communicate insights to leadership. Responsibilities include owning the risk narrative, building analytics foundations, and utilizing AI to enhance efficiency.

Conduct public records research (county recorder/assessor/GIS) to identify home sales and parcel owners for new-home communities, update the company database, and report findings via a web portal to a Regional Research Manager. Part-time, remote role with flexible schedule.

Perform data extraction from SQL/NoSQL systems, validate and transform data, and run statistical and psychometric analyses (IRT, reliability, norming). Validate assessment logic, define quality metrics, design research and simulation studies, and present findings via reports and dashboards. Collaborate cross-functionally and maintain current psychometric and data engineering practices.

Prepare, clean, and analyze property exposure data for catastrophe modeling; run RMS/AIR models; generate and interpret loss outputs; produce reports and recommendations for underwriting and actuarial teams; support scenario analyses, data-quality improvements, and real-time event loss estimates; communicate results to technical and non-technical stakeholders.

Transcribe Assamese video content with timestamps, analyze speaker tone and intent, evaluate grammar and idioms, perform semantic and contextual analysis, collaborate to improve processes, and maintain confidentiality and accuracy.