Top Data & Analytics Jobs

Maintain and manage quality-related databases, run SQL queries for reports and compliance, support dashboards and data integration for inspection systems, assist with backups, user access, audits, KPI tracking, and small data-driven continuous improvement initiatives in a manufacturing environment.

Design, build, operate, and maintain production ETL/ELT pipelines, integrations, and curated datasets across enterprise systems (Salesforce, Deltek, Autodesk, Azure, Microsoft Fabric). Implement data models, orchestration, API-first services, monitoring, data quality, lineage, and governance to support BI, reporting, AI/ML, and business decision-making. Collaborate with analytics, IT/security, and business teams to ensure secure, reliable data delivery.

Perform hands-on Epic data conversion activities including CCDA/PAMI ingestion, source-to-target mapping, ETL, data validation, reconciliation, mock conversions, cutover support, troubleshooting, and documentation to ensure accurate migration of clinical and operational data from multiple legacy EMRs into Epic.

Designs and implements Microsoft SQL Server databases, ETL (SSIS), stored procedures, OLAP/cubes and data warehouse solutions. Builds and optimizes schemas, queries and cubes, performs DB tuning and monitoring, enforces database policies, and supports multiple deadline-driven projects to meet SLAs and ensure data quality.

Lead and sustain enterprise master data operations (Material, Customer, Vendor, Pricing), enforce governance and SOX controls, drive data quality via KPIs and continuous improvement, support MDM/ERP initiatives, manage third-party providers, and develop data dictionaries, metrics, and process documentation.

Develop and maintain Power BI dashboards and KPI frameworks, perform sales and performance analyses, prepare reporting for leadership, support forecasting and cross-functional initiatives, and drive data integration and process improvements to inform commercial decisions.

Lead data architecture, reporting platform, and product catalog for the Xtime portfolio. Define data strategy, standards, reference architectures, and governance. Translate business requirements into data models, integrations, ETL, and reporting solutions. Design cloud architectures, evaluate technologies, create proofs of concept, and collaborate with product, engineering, and stakeholders to deliver scalable, secure reporting and catalog capabilities.

The Principal Data Platform Engineer leads the architecture and development of the enterprise data platform, focusing on analytics, data science, and AI/ML capabilities. They establish standards for data quality and observability, design data ingestion and processing patterns, and mentor team members to enhance technical capabilities.

Collects, cleans, and analyzes institutional data; produces reports, dashboards, and visualizations; supports accreditation and compliance; designs surveys and assessments; conducts longitudinal and cohort analyses; and provides evidence-based recommendations to university leadership.

Build and maintain backend services, cloud-hosted databases, and data pipelines to support analytics, reporting, and AI tools. Support Azure deployments, Power BI reporting, CI/CD, monitoring, and documentation while collaborating with Data Science, Finance, and IT stakeholders.