Top Remote Analysis Reporting Jobs in Little Rock, AR

The Reports Analyst role involves gathering, cleaning, and analyzing data, while training staff and providing insights to support business strategies.

The Business Analyst collaborates with teams to identify needs, gather requirements, improve operations, and ensure IT solutions align with business objectives, especially within the healthcare industry.

The Industry Intelligence Analyst analyzes industry data, competitors, and customer insights to inform Vistex's market strategies and product innovations.

The Data Engineer will build and maintain scalable data pipelines, improve ETL processes, collaborate with AI/ML teams, and contribute to engineering culture.

Responsible for creating and maintaining technical documentation for developers, ensuring clarity and effectiveness in conveying product capabilities and usage. Collaborate with engineering and growth teams to enhance resources while gathering feedback for continuous improvement.

The Biostatistician designs, analyzes, and interprets clinical trial data, collaborating with various teams and ensuring statistical rigor and compliance with regulatory standards.

The Senior Product & Growth Analyst will lead the analytics behind Trust & Will's growth, focusing on conversion, retention, and lifetime value analysis. Responsibilities include building predictive models, conducting experimentation, and delivering data-driven recommendations to stakeholders. The role involves collaborating across product, marketing, and growth teams, with a strong emphasis on user behavior and funnel analysis.

Investigate financial transactions to identify potential money laundering activities, utilize AI for analysis, document findings, and collaborate with product teams on improvements.

As a Lead Data Engineer, you'll optimize data workflows, manage data engineering projects, mentor junior engineers, and ensure robust data solutions meet business needs.

The Data Engineer is responsible for developing data infrastructure, building data pipelines, managing data quality, and integrating analytics tools to support design and project operations.