Top Analytics Jobs in Little Rock,

The Data Analytics Engineer will support reporting and analytics by exploring data, ensuring quality models, collaborating with teams, and maintaining the data warehouse. Responsibilities include developing documentation and enhancing business outcomes through data-driven insights.

As a Staff Data Engineer, you will design and implement scalable data solutions, optimize data infrastructure, and support BI product development. You will collaborate with stakeholders for project alignment and success while managing data workflows and governance tools.

As the Data Analytics Manager at Thrive Market, you will lead the analytics function to drive measurable business impact through strategic analysis and data-driven decision-making. You'll build and mentor a team, create analytical frameworks, oversee complex analyses, and champion a data-first culture across the organization.

The Associate Data Analyst will work with the Payer team to develop analytics, create dashboards to track business metrics, facilitate data transfers, and improve decision-making through data visualization and interpretation. The role requires collaboration with stakeholders to enhance reporting infrastructure and communicate insights effectively to both technical and non-technical audiences.

As a Data Analyst at RunPod, you will analyze user interaction data to enhance product development and operational efficiency. Your role includes optimizing user engagement, devising retention strategies, monitoring KPIs, collaborating across teams, and presenting insights to management.

As the Director of Data Science & AI, you will lead a team to develop AI and ML solutions that align with the business strategy. Responsibilities include overseeing the ML workflow, collaborating with Product and Engineering, and managing a high-performance team to drive customer-centric analysis and strategic initiatives.

The Senior People Technology Analyst will be responsible for the implementation and maintenance of Workday and other People Systems. They will manage system configurations, provide end-user support, analyze data, and conduct training sessions while continuously seeking opportunities for process improvement.