Top Remote Data Analysis Jobs

The Fraud Analyst monitors transactions for suspicious activity, uses fraud detection tools, documents findings, communicates with clients, and supports the Risk & Compliance team.

Execute day-to-day pricing analytics: prepare and clean retail pricing and promo data, run and validate pricing models and agent outputs, monitor in-season performance, assemble clear analytical reports for business reviews, and contribute to improving pricing agents and documentation to scale the pricing function.

Analyze and interpret K-12 assessment data to monitor individual and school performance, maintain confidential data files, design reports, apply statistical measures, and train faculty/administrators to use data to improve instruction, especially for at-risk students.

Support financial systems by analyzing data and processes, gathering and documenting business/technical requirements, supporting data migrations and testing, troubleshooting data issues, and enabling reporting and process improvements across finance systems.

Perform sponsorship valuations through research, data modeling, analysis, and client presentations. Maintain valuation database, surface insights, refine methodology, and support strategy projects to inform sponsorship proposals and renewals.

Perform stakeholder-driven analyses using R and Python on large child-welfare datasets, produce reports and visualizations, recommend policy and program actions, collaborate with partners, maintain reproducible code and documentation, and support research outputs and presentations.

Provide research and analytical support to the VHA IT-Non-IT Workgroup by collecting and analyzing data, preparing reports and briefings for leadership, supporting project planning and KPIs, coordinating meetings, and maintaining documentation to advance IT and non-IT initiatives.

The Transactional Quantitative Analyst prepares financial models, audits spreadsheets, conducts mathematical analysis, and assists in training clients and junior staff within a law firm's Corporate Department.

The Data Strategist will manage M&A integration by creating financial models, prioritizing data requests, and collaborating cross-functionally to optimize data value and operational efficiency.

As a Data Scientist, you will analyze blockchain data to derive insights, develop and deploy predictive models, and improve product offerings.