Top Data & Analytics Jobs

Provides database engineering and Oracle DBA support for complex, distributed intelligence systems. Responsibilities include database architecture, design, administration, migration, replication, backup and recovery, performance tuning, security, schema development, scripting, requirements analysis, documentation, and technical issue resolution. Collaborates with engineering, testing, security, management, and customer teams in an Agile environment, supporting high availability, capacity planning, system optimization, and quarterly PI Planning activities.

Analyze and manipulate large datasets supporting energy modeling and SEM programs. Review data before and after modeling, maintain standardized templates and databases, integrate data into statistical software, quality-control models and reports, and create work instructions. The role also involves automating data processing, troubleshooting Visual Basic and Excel tools, managing Smartsheet data, supporting benchmarking reports, and collaborating with internal teams and occasional clients.

Builds and maintains enterprise datasets, semantic models, Power BI and Microsoft Fabric reporting solutions, forecasting models, dashboards, and automated analytics. Partners with Finance, Operations, and IT to translate requirements into decision-support tools. Ensures data quality through validation, reconciliation, and monitoring while improving reporting governance and analytical methodologies. Uses SQL, Python, AI, and automation technologies to streamline business processes and deliver reliable insights.

Develops and leads end-to-end business intelligence, reporting, analytics, database, data warehouse, and data modeling solutions. Translates business requirements into dashboards, reports, metrics, scorecards, and management insights. Partners with internal stakeholders and leadership, supports healthcare and managed care data initiatives, resolves complex issues, manages multiple projects, and provides technical guidance, training, and coaching to colleagues.

Manage Oracle database systems by installing, configuring, securing, monitoring, optimizing, and maintaining availability and performance. Responsibilities include backup and recovery, disaster recovery, user access management, storage allocation, capacity planning, troubleshooting, and collaboration with development teams. The role requires 5+ years of Oracle DBA experience and eligibility for Public Trust clearance, with PostgreSQL and healthcare IT experience preferred.

Designs and maintains enterprise conceptual, logical, and physical ESG data models supporting sustainability, risk, finance, and treasury functions. Collaborates with data architects, technology teams, sustainability stakeholders, and enterprise architecture to align models with data governance, regulatory, and architectural standards. Defines data flows and sources, supports development projects, establishes ownership processes, and translates business requirements into scalable data solutions using SQL, UML, and data modeling tools.

Leads advanced analytics initiatives supporting sales, marketing, and operations strategy. Develops statistical and predictive models, dashboards, KPI reporting, and customer analyses using large datasets. Partners with stakeholders and data engineering teams to translate business questions into actionable insights, communicates findings to executives, and mentors junior analysts.

Supports Facilities Services by analyzing business processes, translating operational needs into system requirements, developing reports, assisting with automation and AI solutions, and providing hardware and software support. The role collaborates with multiple divisions to improve efficiency, maintain systems, troubleshoot technology, and support reliable IT services across the university.

Develop, test, and deploy reporting and data management applications supporting 24/7 semiconductor manufacturing operations. Transform complex manufacturing data into actionable reports and logistics information using BI tools, SQL, Java, and data-mining techniques. Collaborate with production control, manufacturing, engineering, and value-stream teams, drive continuous improvement, and provide periodic off-shift or on-call support.

Designs scalable data and AI architectures, data pipelines, warehouses, and integrations. Advises clients on secure, resilient, flexible, and cost-effective cloud data solutions; translates business needs into technical requirements; evaluates emerging technologies; and connects technology decisions to measurable outcomes. Requires expertise in data modeling, governance, quality, security, ETL, cloud platforms, and big data tools.