Top Data & Analytics Jobs in Little Rock, AR

Analyze large sales datasets to forecast trends, identify opportunities, monitor competitive and market activity, develop metrics and recommendations, visualize results, and present findings to business leaders to improve sales performance and processes.

Design and implement end-to-end cloud data solutions, lead or mentor engineering teams, ensure performance, security, and scalability, integrate diverse data sources, write and optimize SQL, program in Java/Python/Scala, produce presentations and detailed solution documentation, and engage directly with clients to deliver production-ready systems.

Lead intake, grooming, and translation of reporting and analytics requests into actionable requirements. Drive stakeholder sessions, define data logic and metrics, prioritize requests, enable scalable reporting solutions, support delivery and UAT, mentor junior analysts, and improve intake processes to reduce one-off requests and promote reusable, self-service reporting.

Work with product, engineering, and PM teams to gather requirements, design data models and pipelines, build dashboards and reports, maintain enterprise data dictionaries, ensure data quality and governance, and support integrations and documentation in an Agile environment.

Design, build, and optimize enterprise-scale data pipelines on Databricks and Azure. Implement batch, streaming, CDC, and incremental ETL/ELT solutions, Delta Lake optimizations, data quality, CI/CD, and secure, production-ready data products for analytics and AI/ML initiatives.

Perform end-to-end data analysis and transformation for large-scale P&C insurance datasets. Develop source-to-target mappings, validate and profile data, optimize complex SQL queries, and collaborate with business SMEs and technical teams to ensure data quality, standardization, and accurate technical documentation.

Lead BI architecture and solution design; build and optimize Power BI and Tableau semantic models; write and tune DAX, Power Query, and SQL; architect dimensional data models; define governance, CI/CD, and deployment standards; partner with data engineering; drive self-service BI and mentor BI developers.

Support and architect clients' Azure data platforms and Power BI environments within Managed Services. Design Databricks Lakehouse and Delta Lake solutions, build and maintain data pipelines, advise on governance/licensing, resolve escalations, mentor junior staff, communicate with clients, create documentation, and promote best practices for HIPAA-compliant healthcare data solutions.

Serve as client-facing lead for environmental data management and sustainability strategy. Analyze energy, water, GHG, and waste performance; provide reporting and regulatory guidance; manage vendors and ESG platforms; support green building certifications (LEED, ENERGY STAR); produce high-quality reports, presentations, and deliverables; and coordinate multiple projects with strong communication and project management.

Maintain and monitor Snowflake data warehouse and ingestion pipelines. Troubleshoot file/load/data quality issues, operate SFTP/drop-zone/file automation, support scheduled loads, build dbt models and tables, document runbooks, and serve as backup for core warehouse operations while collaborating with engineering and IT.

Lead research and listening for a specific audience: design and run primary research, integrate listening signals, synthesize quantitative and qualitative insights, and deliver timely, decision-oriented recommendations while coaching analysts and partnering with enterprise stakeholders.

Lead BI efforts by collecting, integrating, analyzing, and visualizing complex internal and external data. Advise executives and develop functional strategies, translate requirements across business and technical teams, lead projects, present insights to senior leadership, and build analytics solutions using tools like Power BI, Adobe Analytics, and Databricks.

Analyze large pharmacy, Medicaid, and Medicare datasets to produce actionable insights. Build and maintain dashboards and visualizations, investigate trends and root causes, recommend process improvements, partner with cross-functional teams, ensure data integrity, and influence strategy through data-driven recommendations to improve pharmacy operations and member experience.