Top Data & Analytics Jobs in Little Rock,

As a Senior Manager, you'll lead teams to solve complex business issues through data analytics, aligning client strategies with modern cloud data environments.

The Credit Risk Manager will analyze data, develop risk management strategies, collaborate with cross-functional teams, and implement underwriting policies for credit cards.

The Senior Fraud Data Analyst develops data-driven fraud decisioning strategies, analyzes large datasets, and collaborates with stakeholders to enhance fraud prevention and optimize detection accuracy.

As a Senior Data Analyst, you will analyze data to provide insights that support operational and strategic decisions, utilizing tools like SQL and Tableau.

The Lead Analyst for Operational Strategy will enhance underwriting efficiency by partnering with leadership, leading analysis, optimizing processes, and mentoring junior analysts.

The Analyst II will conduct payments pricing analyses, manage communications with customers, support the sales team, and enhance operational processes in payments.

The Senior Healthcare Analyst will analyze healthcare data, provide insights to improve clinical programs, and collaborate with multidisciplinary teams to drive program effectiveness and optimize patient outcomes.

Manage analytical service operations by overseeing a team, designing software for data mining, developing statistical models, and generating insights for marketing outcomes. Provide training and mentorship to direct reports.

Design and optimize data pipelines for integration and analysis, ensuring data quality while collaborating with a cross-functional scrum team.

As a Senior FP&A Analyst, you will manage budgets, drive strategic priorities, develop financial models, and report metrics effectively.

The Data Products Analyst enables data-driven decision-making by developing analytics solutions, supporting clients with BI tools, and enhancing data processes.

The Senior Data Engineer will maintain ChowNow's data platform, enhance data pipelines, work with data scientists, and improve data quality and accessibility, contributing to executive decision-making and business growth.