Top Data & Analytics Jobs in Fayetteville, AR

Design and customize Sage Intacct, develop financial reports, support data migration, and train users while ensuring compliance with GAAP.

The Associate Director, Solutions will lead a client-facing team at YipitData, responsible for delivering bespoke analysis and data products, managing client experiences, and leveraging AI for operational efficiency.

The Analyst will manage demand forecasting and capacity planning for contact center services, utilizing advanced analytics and statistical models to optimize resources and meet service objectives. Responsibilities include model design, data analysis, and stakeholder communication.

This role involves conducting advanced data analysis to drive strategic decisions, defining metrics, collaborating with teams, and improving performance through insights.

Lead Airbnb's competitive intelligence function: monitor competitors and industry trends, run strategic deep dives, own CI data strategy and vendor relationships, produce executive-ready insights, and enable cross-functional reporting and infrastructure.

The role involves designing and maintaining data models and pipelines, collaborating with teams to drive insights, and building dashboards for analytics and reporting.

The Senior Product Analyst will oversee product analytics projects, collaborating with teams to develop KPIs, conduct A/B testing, and provide data-driven insights to enhance decision-making.

The Senior Product Analyst will analyze data to inform product strategy, develop analytics solutions, and communicate insights through visualizations, collaborating with cross-functional teams.

The Senior Data Analyst will conduct quantitative analysis, optimize products through data insights, and lead A/B testing in collaboration with various stakeholders.

As a Curriculum Manager, you will manage the content development lifecycle, collaborate with instructors, and improve data science curriculum, ensuring technical accuracy and pedagogical effectiveness.

Build and own data quality and observability for the data platform: profile data, define quality rules, set metrics/SLAs, monitor and alert, investigate and resolve data issues at source, and partner with data engineering and business stakeholders on standards and reporting.

Use data and analytics to answer moderately complex business questions, develop standards for data retrieval and reporting, build and enhance Power BI dashboards, clean and analyze data, monitor KPIs, and translate technical findings into clear business recommendations for stakeholders and management.

Develop, maintain, and improve predictive models and operational forecasts to support claims demand and capacity planning. Build Python workflows, prepare and validate data with SQL and Python, automate manual processes, create visualizations and BI solutions, and partner with stakeholders to translate business questions into analytical solutions while sharing knowledge with teammates.