Top Remote Entry Level Analytics Jobs

The Revenue Operations Analyst will analyze business problems and data to provide actionable insights and recommendations. Responsibilities include liaising with internal and external parties to enhance project execution and revenue conversion from backlog orders. The role involves creating tracking processes, conducting market assessments, and participating in strategy development.

The Lock Desk Analyst I will manage locking mortgage loan rates, review and process loan requests, confirm pricing, resolve operational issues, and collaborate with team members to ensure compliance with corporate policies. The role requires attention to detail and customer service skills in a fast-paced environment.

As a Data Analyst in Integrations at dv01, you will engage with structured finance, analyzing large datasets and working with engineering teams to develop solutions. You'll communicate with financial clients and enhance your skills in data analysis beyond Excel. This role will deepen your understanding of financial markets and analytical tools.

The Data Analyst will manage program data collection, ensuring quality assurance, and conduct statistical analyses. Responsibilities include creating reports for stakeholders, enhancing data processes, and supporting the Director of Operations with insights related to KPIs. The role requires attention to detail and effective communication to present findings clearly.

This Associate position involves supporting the Portfolio Analytics team by developing core portfolio management software, collaborating with the investment team to understand investment solutions, and participating in software development practices including code reviews and design sessions.

As a Blockchain Intelligence Analyst, you will analyze and report on the crypto economy to detect suspicious activities, utilizing OSINT and blockchain expertise. Collaborating with cross-functional teams, you will produce actionable intelligence and insights to aid law enforcement against cryptocurrency fraud.

As a Research Scientist on the Interpretability team, you will develop methods for understanding large language models through the reverse engineering of algorithms within neural networks. This involves designing and conducting robust experiments to achieve mechanistic interpretability, aimed at improving the safety and performance of AI systems.