Top Data & Analytics Jobs in Little Rock, AR

The Solutions Architect leads client integration of Cedar's platform, ensuring successful project delivery through client communication and technical expertise while managing complex data structures and operational workflows.

Build and maintain business intelligence and reporting to support clinical access operations. Collect, aggregate, audit, and analyze clinical and operational data from multiple sources, produce KPI reports, control charts, and actionable insights, troubleshoot data quality issues, support quality improvement initiatives, and communicate findings to leadership to optimize patient flow and operational performance.

Lead development and maintenance of actuarial data marts, extracts, reports, validations and audits. Drive requirements, technical specs, automations, and financial analyses; mentor staff and coordinate with vendors and business partners to ensure accurate, auditable financial data.

Retrieve, integrate, analyze, and validate business, medical, operations, financial and customer data. Build repositories, perform data extraction and manipulation, identify trends and root causes, produce reports and visualizations, support ad-hoc requests, and consult with stakeholders to inform business decisions and process improvements.

Perform data extraction, transformation, validation and visualization to support consumer and commercial analytics. Create and track business metrics, execute strategic analytics projects, deliver accurate results with documentation following audit procedures, and communicate findings with recommendations to stakeholders.

Lead and mentor a data engineering team to design, build, and maintain enterprise data warehouses, lakes, and pipelines. Ensure data quality, governance, security, performance, and scalability. Collaborate with data science, BI, and application teams, evaluate technologies, drive automation and DevOps/DataOps practices, manage projects and budgets, and align data initiatives with business objectives.

Supervises Data Services team focusing on data engineering and operations, ensuring alignment with IT policies, data governance, and operational reliability of data products.

Lead processing of survey data into cloud analysis tools, build dashboards and visualizations, train and support clients, collaborate across teams, and deliver high-quality work to meet project objectives and deadlines.

Analyze large healthcare datasets and develop complex SQL queries using Azure Synapse/Databricks. Build Power BI reports, produce monthly reconciliations and ad-hoc analyses in Excel/PowerPoint, support payments to value-based specialists, evaluate and expand value-based programs, automate processes with Power Automate/Power Apps, and communicate findings to senior leadership while spearheading new technologies.

Perform GIS data processing and automation using arcpy and Python, develop SSIS/SQL Server workflows, communicate status to managers and users, track time, follow quality standards, collaborate in a team, estimate and schedule work, and resolve issues promptly.