Top Data & Analytics Jobs

Monitor and analyze Caterpillar machine alerts, equipment history, work orders, and machine data. Prepare customer reports and corrective-action recommendations, identify job opportunities, create condition-monitoring leads, maintain EMSolutions reports and equipment records, submit subsidy claims, and provide VisionLink and condition-monitoring training. The role also collaborates with branch personnel and maintains technical knowledge of heavy equipment.

Provides GIS mapping services, custom map development, data analysis, and technical support for agency staff and water rights processing. Uses ArcGIS Pro, internally developed applications, and scripts to address mapping and data challenges. Collaborates with application development and customer-facing teams, troubleshoots technical issues, manages competing priorities, and delivers GIS support in a hybrid office environment. Occasional travel around Oregon is required.

Supports NASA Goddard’s Flight Projects Directorate by translating business needs into requirements and solutions. Responsibilities include requirements gathering, user stories, workflow analysis, process improvement, data analysis, dashboard creation, stakeholder collaboration, solution design support, systems integration analysis, project coordination, testing, and process documentation. The role requires strong communication, organization, judgment, confidentiality, Microsoft Office expertise, and eligibility for NASA access through citizenship or permanent residency and a background investigation.

Supports supply chain data and analytics solutions through data extraction, analysis, quality checks, dashboards, reports, pipelines, validation routines, and documentation. Collaborates with stakeholders to gather requirements, maintain data accuracy, develop data products, and translate findings into actionable insights. Participates in Agile Release Train activities and supports system enhancements and operational reporting.

Leads enterprise business intelligence strategy, roadmap, product delivery, semantic modeling, governance, adoption, and AI-assisted analytics. Partners with Data Engineering, Data Governance, Data Science, AI Solutions, and IT to deliver scalable, secure, reusable BI capabilities. Manages and develops the BI team, prioritizes demand, translates business needs into products, monitors business value, and remains hands-on in solution design and technical troubleshooting.

Leads the organization’s enterprise data and analytics strategy, including data architecture, engineering, reporting, business intelligence, governance, stewardship, quality, and platform modernization. Develops roadmaps, standards, dashboards, performance measures, and self-service analytics capabilities; manages vendors, budgets, projects, compliance, and data-related requests. Oversees responsible adoption of AI and machine learning while recruiting, coaching, and developing the Data & Analytics team.

Maintains and monitors Azure Databricks data pipelines, troubleshoots data issues, collaborates with stakeholders on data requirements, documents processes, performs backups and disaster recovery drills, and supports data access and usage. The role requires extensive data engineering experience, Azure expertise, incident management knowledge, and strong problem-solving skills.

Lead enterprise measurement strategy and analytics for major client portfolios. Develop measurement frameworks, learning agendas, testing roadmaps, and business recommendations connecting media performance to enterprise outcomes. Serve as a senior client advisor, partner with BI and data engineering teams, improve dashboards and insight delivery, and guide modern measurement practices. Manage and develop analytics leaders while strengthening team capabilities, analytical rigor, and strategic storytelling.

Leads a data integration team responsible for onboarding, loading, monitoring, and securing client and vendor data feeds. Oversees Boomi, SQL, and Python integrations; manages feed quality, scheduling, exports, documentation, SLAs, and issue resolution. Partners with clients, vendors, client success, and internal data teams while mentoring analysts and improving automation, transparency, scalability, and anomaly detection across SQL Server and Snowflake environments.

Designs, builds, and owns the company’s cloud data platform using Snowflake, Fivetran, and related tools. Responsibilities include dimensional modeling, data ingestion, security, CI/CD, orchestration, data quality, governance, semantic layers, historical data migration, and pipeline support. The role partners with integration and business teams on ERP, manufacturing, connected-equipment, and application data while documenting architecture and coaching colleagues.