Top Remote Data Analysis Jobs

Analyze ACH transaction data to enhance payment decisioning performance. Identify trends, evaluate data impact, and optimize risk strategies using Python and SQL in a fintech environment.

Conduct research and analysis on carbon and low-carbon/clean fuels compliance markets; build supply/demand outlooks and price-forecasting models; develop datasets and analytics; produce commentary and insight articles; collaborate with editorial, sales, and business development; present at industry events and support content delivery tools.

Collect, validate, and maintain market data across asset classes; perform statistical analysis and modeling; ensure data accuracy through QA; troubleshoot discrepancies; produce reports, dashboards, and recommendations; partner with stakeholders to improve data models and analytics practices.

The role involves participating in research studies, offering flexibility in work hours from home. No prior experience is required, and training is provided.

As a Data Scientist, you will analyze data, develop models, and provide actionable insights using machine learning and statistical methods. Consult on data mining and implement data-driven solutions while maintaining knowledge in emerging analytics techniques.

The Data Analyst collaborates with teams to analyze criminal justice data, provides insights, and supports product launches by presenting analyses to stakeholders.

The Director of Reserving oversees loss reserve analysis, manages a reserving team, presents findings to leadership, and maintains analytical standards.

Design, implement, and analyze randomized and quantitative social science studies for progressive organizations. Manage project lifecycle from scoping and survey/randomization design to analysis, reporting, and stakeholder communication. Maintain research partnerships, translate findings into actionable recommendations with an equity lens, and collaborate on team research strategy and new study ideas.

Support pricing and promotional optimization by building econometric and statistical models, implementing pricing algorithms, running price tests, analyzing sales and customer data, automating pricing processes with Python/SQL, and communicating insights to stakeholders to drive revenue and profitability.

The Payor Analyst processes claims data to drive payer access and revenue growth, supports access strategies, and generates insights for stakeholders.