Top Data & Analytics Jobs in Little Rock, AR

The Reporting & Documentation Specialist will build and maintain dashboards and reports within the ProScore Core Portal, using SQL and Stimulsoft, while ensuring accurate documentation and collaboration with stakeholders.

Analyze commercial data for sales, marketing, service and support to create metrics and insights for optimization. Collaborate with cross-functional teams to provide data-driven recommendations and manage business intelligence tools.

Lead analytics for product or business domains by transforming data into actionable insights. Define and track KPIs, build dashboards and reports, perform EDA, cohort/funnel and A/B test analysis, validate data quality, partner with Product and Engineering, use AI tools to accelerate analysis, mentor junior analysts, and manage end-to-end analytical projects.

Lead architecture and hands-on engineering to design, scale, and govern a cloud-native lakehouse using Databricks and Microsoft Fabric. Build batch/streaming pipelines, ensure HIPAA-compliant PHI handling, produce analytics-ready datasets, mentor engineers, and drive platform strategy, governance, and reliability.

Design, develop, and manage data infrastructure for internal and client projects, focusing on large-scale data pipelines, APIs, and cloud deployments.

Implement and manage full lifecycle client data integrations for inbound HRIS and benefits conversion files. Gather requirements, configure files, establish secure transfers, oversee testing, coordinate clients/vendors, track project status, and transition integrations to steady-state while ensuring data accuracy and resolving defects.

Lead development and execution of forward-looking drug spend forecasting models, quantify macro-market impacts, partner with clinical and pricing teams, translate analytical findings for executives and clients, build automated reporting with Data Analytics, support sales/proposals, engage brokers/consultants, and drive strategic growth projects.

Design and build Snowflake transformation layer and migrate legacy SQL to versioned dbt models. Define conformed dimensions/facts using Kimball principles, set modeling and CI/CD standards, implement data quality/lineage, support BI migration and AI/ML readiness, and mentor future hires. Hands-on work in dbt, SQL, and Python with stakeholder collaboration and governance for financial and operational data.

Build and own the data platform backbone: design ingestion patterns, Snowflake warehouses, governance, and freshness strategy. Implement reliable batch and streaming pipelines, data quality, observability, and onboarding processes. Lead legacy migrations, create data contracts and SLAs, and apply AI-native tooling to automate debugging, documentation, and operational workflows while partnering with Analytics, Engineering, and vendors.

Build and maintain CS reporting, dashboards, and health score models to identify renewal risk and inform strategy. Deliver executive reporting, collaborate cross-functionally to improve data quality, and develop predictive analytics and longitudinal tracking to reduce churn.