Top Analysis Reporting Jobs in Fayetteville, AR

Designs secure Azure data pipelines and analytics foundations using Databricks and ADLS Gen2. Responsibilities include modernizing Oracle workloads, developing medallion data models, implementing data quality and monitoring practices, integrating curated datasets with Power BI, and establishing secure Azure Government identity, network, storage, and access patterns. The role also requires documentation, operational support, stakeholder collaboration, and performance optimization.

Leads integration of healthcare payer feeds and internal enterprise data into WellBe’s data platforms. Responsibilities include data mapping, transformation, validation, normalization, quality monitoring, governance, metadata and lineage management, requirements gathering, and supporting ingestion pipeline delivery. The role partners with engineering and analytics teams, serves as a subject matter expert, and ensures reliable data for value-based care, reporting, and operational use cases.

Leads the architecture, implementation, and evolution of enterprise data platforms, including Master Data Management, data lakes, lakehouses, and cloud data services. Manages data engineers and developers, establishes engineering standards, oversees Azure-based integrations and pipelines, and owns data applications, databases, security, governance, and production support. The role also directs technical strategy, manages multiple initiatives, and communicates architecture and delivery plans to stakeholders.

The Forward Deployed Data Engineer will manage AI-automated data platform migration projects, ensuring timely delivery and communication with clients while utilizing proprietary tools.

The Data Governance Specialist develops and enforces data governance, quality, privacy, risk, and compliance standards across organizational data assets. Responsibilities include managing metadata, data dictionaries, lineage, classification, retention, PII controls, DPIAs, risk assessments, audits, dashboards, and data-quality remediation. The role partners with engineering, security, legal, and business teams, provides stakeholder training, investigates data integrity issues, supports incident escalation, and automates governance processes through scripting.

Lead the data engineering strategy and architecture for distributed pharmaceutical data systems. Design and scale pipelines, APIs, and data platforms while ensuring reliability, governance, quality, and PII/PHI protection. Drive technical decisions, improve developer efficiency, deliver business impact, influence cross-functional roadmaps, mentor engineers, communicate with executives, and promote organizational adoption of new technologies and processes.

Administers Oracle databases across development, test, staging, and production environments. Performs monitoring, maintenance, backups, recovery, patching, tuning, schema updates, indexing, troubleshooting, access control, encryption, auditing, and compliance remediation. Supports migrations, releases, environment synchronization, documentation, and collaboration with development and cybersecurity teams. Requires an active Top Secret clearance, database administration experience, relevant certifications, and strong Oracle, SQL, PL/SQL, and DoD security knowledge.

Design and own a unified data model for an AI-driven pipeline risk platform. Responsibilities include lakehouse and medallion architecture, geospatial modeling, entity resolution, ingestion patterns, governance, lineage, data quality, access controls, and traceability. Partner with data engineers, application engineers, and data scientists to implement schemas, pipelines, serving layers, and optimization strategies while maintaining clear architecture documentation.

Designs and maintains executive dashboards, reports, semantic models, and automated analytics solutions using Power BI. Defines enterprise KPIs, data standards, and business rules while integrating data from ERP, CRM, manufacturing, SQL, and cloud systems. Partners cross-functionally with senior leaders to deliver insights, improve data quality, support master data management, and enable scalable self-service analytics and data-driven decision-making.

Leads the data engineering organization and enterprise Databricks Lakehouse on AWS. Owns team development, platform strategy, delivery, reliability, governance, budget, vendors, architecture standards, and regulatory compliance. Partners with executives on data transformation, MDM, ERP migration, analytics, and AI enablement. Requires extensive data engineering leadership, Databricks and AWS expertise, regulated-environment experience, and proven budget and vendor management.