Top Data & Analytics Jobs in Fayetteville, AR

The Digital Analytics Analyst will develop data strategies, implement analytics tools, and translate complex data into actionable insights for business impact.

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

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.

The Senior Catastrophe Portfolio Modeling Analyst conducts catastrophe modeling, data preparation, produces portfolio metrics, and supports event response, utilizing RMS, AIR, SQL, and Python.

As an ETL Developer, you will design and maintain data pipelines for healthcare datasets, optimize workflows, and ensure data quality in a secure federal environment.

The Senior Data Analyst role involves data collection, analysis, dashboard creation, and collaboration with various teams to inform business decisions and optimize processes.

Lead Quantitative Analysts in risk management data analysis, model creation, testing, and validation for business and regulatory compliance. Mentor junior analysts and present results to management.

As a Senior Data Analyst, you'll define analytics strategies, implement data infrastructure, perform analyses, and leverage AI to enhance decision-making across the organization, focusing on personalized coaching outcomes.

The Manager, AI Solutions & Analytics will operationalize AI adoption, enabling teams to effectively integrate AI into business processes, and support cross-functional collaboration and implementation of AI solutions.

As a Senior Data Scientist, you will guide data-driven decision-making, lead experimentation, and collaborate on actionable insights to enhance product strategy and metrics.