Top Analytics Jobs in Fayetteville, AR

The role involves designing and delivering end-to-end data and analytics solutions on Azure for enterprise clients, requiring data engineering experience.

The RevOps Analytics Manager is responsible for data analysis, insights generation, data governance, and supporting sales and marketing strategies through advanced analytics and forecasting.

The role involves building and optimizing data pipelines, managing data integration, supporting analytics, and collaborating with cross-functional teams to enable data-driven decisions.

The Senior Manager, Marketing Analytics will develop campaign performance metrics, enhance reporting capabilities, and optimize marketing strategies while collaborating with various teams.

Lead a team of analytical engineers to create optimized data solutions, mentor members, and collaborate on data-driven projects using AWS technology.

Lead and grow the analytics team, collaborate with leaders to shape experiments, dive into data using SQL and Python, and present insights to executives.

Lead evaluation of new data assets, develop data strategies, build predictive models, support M&A, and engage clients. Manage analytics teams and promote innovation.

The Director of Data Analytics leads analytics strategy and operations, overseeing business intelligence projects and managing a team. Responsibilities include driving forecasts, statistical modeling, and cross-functional collaboration to enhance reporting and customer engagement.

The Fraud Analytics Lead will design and implement strategies to mitigate fraud risks, leveraging advanced analytics and collaborating with cross-functional partners.

The Risk Portfolio Analytics Manager leads risk reporting and analytics, ensuring a data-driven view of risk exposure and portfolio performance. Responsibilities include producing reports for governance bodies, monitoring performance, enhancing fraud analytics, and improving reporting frameworks.

The Senior Data Analytics / Business Analyst will collaborate with various departments to drive revenue growth by analyzing data, conducting experiments, and implementing action plans based on statistical insights.

The Senior Operations Analyst will analyze data to identify trends, develop strategies for operations, and collaborate with various stakeholders to improve processes and metrics.

Lead analytics for OnePay's Lending product, working cross-functionally to develop data-driven strategies, foster growth, and manage a team of analysts.

Analyze data to drive insights for fraud detection and customer onboarding, develop dashboards, and collaborate across teams to optimize strategies.

As an Analytics Engineer, you will develop and maintain analytics platforms, support data collection and orchestration, and improve code quality through best practices. You will collaborate with product teams and participate in on-call support for production services while engaging in a collaborative workplace culture.

Lead the design and execution of a fraud defense strategy, managing a team of analysts to minimize losses and enhance customer experience in a FinTech setting.

Lead marketing operations and analytics, focusing on data-driven strategies, budget analysis, and optimizing marketing technology for growth. Manage complex data analysis and reporting to inform decision-making.

The Director of Analytics leads the analytics strategy for Marvel Strike Force, manages a team, and uncovers insights to drive player experience and revenue.

The Analytics Manager leads a team to deliver impactful analytics, manage the analytics roadmap, establish best practices, and synthesize complex data insights for product strategy.

The Senior Analytics Engineer II will transform data for self-service analytics, ensuring quality and reliability in data models, while mentoring junior team members and collaborating with stakeholders.

Lead marketing attribution strategy, forecasting, and analytics to influence decisions and revenue growth while collaborating with cross-functional teams.

The Credit Analyst will develop credit risk strategies, manage decision strategies, analyze credit trends, and collaborate with multiple teams to ensure compliance and profitability in credit processes.

The role involves developing and optimizing Power BI solutions, managing data models, conducting customer discovery meetings, and guiding clients on deployment using Microsoft Azure services. Requires strong technical and interpersonal skills.

The Data Analytics Engineer will develop data models, create dashboards, maintain data pipelines, and collaborate with various teams to improve analytics practices.

Oversee customer reporting and analytics at Omada Health by leading a team, developing strategies, and collaborating across functions to deliver insights.