Top Remote Analytics Jobs in Fayetteville-Springdale-Rogers,

The Data Analyst III will interpret business needs, perform advanced data analyses, develop visualizations, and present findings to stakeholders. Responsibilities include data transformation for BI tools, enhancing reports, supporting project management, and contributing to process improvements through data-driven insights.

The Operations & Analytics Manager will optimize operations for Aptos Foundation, develop strategic plans for operational efficiency, manage resources, conduct data analytics to identify efficiencies, and implement risk management strategies. This role requires collaboration with various teams and a strong background in operations within the Web3 or blockchain space.

The VP of Data Engineering at Axios leads the data engineering functions, overseeing teams for Data Engineering, Data Science, and Data Analytics. Responsibilities include managing data architecture, strategy development, technical guidance, team roadmaps, and maintaining best practices across departments. This executive role collaborates with stakeholders, fosters an inclusive team environment, and supports the overall mission of delivering trustworthy news content.

The Sr. Social Media Analyst will conduct detailed analysis of social media campaigns, focusing on user engagement and conversion data. This role includes leading data cleanup and normalization, creating reports, and presenting insights to optimize social media strategies. The analyst will advise clients and research audience targets to recommend engagement improvements.

The Senior Manager, Insights Digital Analyst interprets and analyzes digital marketing channels using advanced tools, driving business growth through actionable insights and strategic decision-making. Responsibilities include data collection, campaign analysis, producing reports, ensuring quality control, and mentoring junior analysts.

The Application Support Analyst will lead troubleshooting of complex application issues and mentor the team to improve efficiency. Responsibilities include driving incident resolution processes, maintaining support documentation, and contributing to AI-related projects and software testing initiatives.

As an Analytics Engineer I, you will manage the data pipeline between raw data systems and financial data users, partner with Finance to create Certified Datasets, automate processes through programming, validate data structures with Engineering, and ensure data quality.