Top Analysis Reporting Jobs in Fayetteville-Springdale-Rogers,

The Data Scientist, Computer Vision at Sensei Ag will focus on creating machine learning models to automate greenhouse tasks. Responsibilities include collaborating with stakeholders to understand data needs, developing machine learning approaches, encoding algorithms into pipelines, and communicating insights effectively.

As a Workday Reporting and Analytics Consultant, you will design and implement reporting solutions using Workday tools, conduct client sessions to analyze business needs, and provide subject matter expertise on best practices. You'll work closely with project teams to ensure effective reporting and maintain your Workday certifications while contributing to continuous improvement initiatives.

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.

As an Operations Analyst Manager at Fetch, you will solve complex challenges in the scan-and-match space, manage a team of analysts, and collaborate with software development teams to develop scalable solutions. Success requires strong SQL skills, problem-solving abilities, and effective communication.

As a Senior Payments Data Analyst, you will analyze payment data to provide insights, optimize processes, and monitor payment success metrics. You'll collaborate with teams for innovative testing initiatives and lead automated performance monitoring systems, while also preparing various reports for executive leadership. Strong analytical skills are essential for understanding trends and making data-driven decisions.

The Sr Data Analyst will analyze large-scale data sets to identify trends, metrics, and optimization opportunities. Responsibilities include data mapping, gathering requirements, resolving data quality issues, and providing analytical support across departments. The role also involves developing dashboards and reports, ensuring data accuracy, and collaborating with stakeholders and teams.

As a Model Risk Analyst, you will develop and implement model risk management practices, validate models, identify potential risks, and support risk mitigation activities. The role involves collaboration with internal teams and customers to ensure models are accurately managed, while tracking and reporting model risk issues regularly.