Top Analysis Reporting Jobs in Little Rock, AR

As a Senior Data Scientist, you will guide data-driven decision-making, lead experimentation, and collaborate on actionable insights to enhance product strategy and metrics.

As a Senior Data Analyst, you'll define analytics strategies, implement data infrastructure, perform analyses, and leverage AI to enhance decision-making across the organization, focusing on personalized coaching outcomes.

The M365 Power Platform Specialist will design and implement automation solutions using Microsoft tools to enhance workflows and optimize business processes while collaborating with stakeholders to deliver tailored solutions.

The Senior Data Engineer will design and implement lakehouse architectures, optimize ClickHouse deployments, develop ETL/ELT pipelines, and create data models to support analytical and operational functions.

Transform complex data into actionable insights, develop reports and dashboards, ensure data quality, and manage client relationships to meet their data needs.

Lead and scale the data analytics organization, guiding teams, driving product analytics strategy, and integrating AI to enhance data-driven decision-making across the company.

The Product Data Analyst leads data collection and analysis to inform product strategy, collaborates across teams, and ensures data integrity for decision-making in product management.

The Lead Implementation Specialist is responsible for data integration, reporting, and visualization, ensuring compliance, facilitating client support, mentoring, and driving continuous improvement in data processes.

Lead design and delivery of large-scale data pipelines and warehouse systems. Define technical strategy, enforce data governance, improve developer efficiency, mentor engineers, and align data engineering efforts with business goals to enable analytics and ML at scale.

Design, optimize, and scale Snowflake-based data architecture and pipelines. Implement data observability, operationalize MLOps, build semantic enterprise models, and deploy AI-assisted agents and automation for production analytics and commercial data products. Share cross-functional ownership for pipeline resilience, monitoring, and model lifecycle management.