Top Analysis Reporting Jobs in Little Rock, AR

The Data Engineering Lead is responsible for architecting scalable data systems, integrating ML models, and leading a technical team while optimizing performance and costs.

The CX Data & WFM Specialist will analyze CS metrics, produce reports, manage dashboards, forecast workforce needs, and liaise with finance regarding workforce costs.

The Principal Data Architect will design and implement complex cloud-based data solutions, oversee data standards, and guide technical teams while maintaining client roadmaps.

The role involves building and optimizing data pipelines, modeling datasets, applying machine learning techniques, and supporting data strategies. Candidates should have experience with Python, data lakes, warehousing, and related technologies.

The Staff Data Engineer designs and builds data platforms and pipelines, ensuring data integrity and collaboration across teams for analytics and reporting.

The Senior Data Analyst will develop SQL pipelines to automate workflows, create dashboards, analyze financial data, and support leadership with insights.

The Actuary will analyze ratemaking and customer data, lead regulatory filings, build models with GLM and machine learning, automate workflows with Python, and collaborate cross-functionally on product development in a remote environment.

The Director of Data & AI Alliances will develop strategic partnerships, drive joint go-to-market strategies, manage partner relationships, and lead initiatives that enhance revenue growth and partner engagement in data and AI ecosystems.

The Principal Marketing Analyst will enhance marketing strategies through data analysis, develop dashboards, manage data tables, and use AI for insights.

The Senior Data Engineer will design and maintain data pipelines, build scalable data infrastructure, and ensure the availability of high-quality data for analytics and operations at TopDog Law.