Top Analysis Reporting Jobs in Little Rock, AR

The Senior Analyst will support the personalization algorithm by conducting analyses, testing features, managing projects, and collaborating with teams to improve food recommendations for customers.

Transform data into actionable insights by building dashboards, reports, and visualizations. Partner with cross-functional teams and data engineering to ensure data quality, lineage, and AI-ready metadata. Audit datasets, define monitoring rules, document data dictionaries, pilot AI-assisted BI tools, and apply hypothesis-driven analysis to surface insights that inform business decisions.

Embed with the CRO to deliver GTM analytics and insights: write SQL and dbt models, build Looker and Salesforce dashboards, define and track revenue KPIs, forecast and model revenue, partner with GTM leaders and Data Engineering, lead analytics projects, and translate complex data into executive-ready recommendations to drive upsell and new-business growth.

Gather and document business and functional requirements, analyze processes, recommend improvements, produce BRDs/FRDs/user stories and process maps, support solution design, UAT, testing and deployment, produce reports/dashboards, monitor project progress, and support change management and stakeholder communication.

The Data Engineer will develop and maintain data pipelines, perform data extraction and transformation, and support data analytics across the enterprise.

Design, build, test, and maintain dbt models and analytics datasets in Microsoft Fabric/Azure SQL. Ensure data quality via schema tests and freshness checks, optimize SQL, troubleshoot discrepancies, document models, collaborate on pipelines and CI/CD, mentor junior engineers, and support regulatory and operational reporting for utility data domains.

Provide first-level application support and system maintenance for assigned Epic modules, develop and optimize reports/dashboards, perform data extraction and validation, participate in testing and change control, collaborate with clinicians and business stakeholders, and maintain system documentation and training materials.

Six-month internship to collect, clean, and analyze technical service, lab, and customer case data; build structured datasets; create visualizations and Power BI dashboards; support AI-assisted data processing and automation; present findings and collaborate with engineers and scientists to inform product and reliability decisions.

Design and deliver BI reports, dashboards, scorecards and analytic solutions for Medical Economics. Partner with business, actuarial, and technical teams to gather requirements, define business rules, manage BI development lifecycle, investigate trends, maintain knowledge base, and support analytics projects to inform cost and performance decisions.

Lead and mentor an API Engineering team to design, architect, and implement scalable, secure REST APIs for real-time access to the enterprise data lake. Drive data warehousing and data-lake architecture, collaborate with BI/data science stakeholders, support metadata/lineage efforts, and operationalize AI/ML readiness using AWS services and modern data tooling.