Top Remote Analysis Reporting Jobs

The Remote Sensing AI Researcher will design machine learning infrastructure, develop algorithms and deploy models for hyperspectral imagery. Responsibilities include conducting research on AI/ML applications, mentoring colleagues, and contributing to publications. Collaboration with data scientists and software teams is essential for production transitions.

The Senior Research Scientist will lead analytics efforts in market access, conducting claims-based analyses and modeling to support life sciences companies. Responsibilities include contributing to business development, structuring statistical plans, mentoring junior analysts, and developing best practices.

The Quantitative Researcher/Analyst at Kronos Research will develop trading strategies, monitor trading performance, conduct research, and create automation tools in a fully remote environment, focusing on DeFi and CeFi markets.

The Trading Operations Analyst will assist with financial transactions, perform reconciliations, prepare reports, and manage accounting tasks. The role involves collaboration with the Fund Accounting team and daily operations support for the Trading Desk, including reporting P&L estimates and processing corporate actions.

The Analyst Relations Manager at Secureworks will develop and execute an analyst relations strategy, foster relationships with analyst firms, manage peer review processes, and provide strategic insights for the organization. This role emphasizes strong communication and presentation skills to enhance Secureworks' visibility and reputation in the market.

As a Senior Data Analytics Engineer, you will support cross-functional teams with data analysis, build and maintain dashboards, and develop and manage data pipelines. Your work will involve creating reusable datasets and components for data analytics, ensuring data quality, and communicating insights effectively to stakeholders.

As a Senior Credit Analyst at Step, you will build pricing models, implement data tracking for KPIs, collaborate on lending strategies, and create customer risk profiles, all while working closely with Data Science to optimize profitability through credit policies and analysis.