Top Data & Analytics Jobs

Build and maintain scalable data pipelines, analytics data warehouses, ETL processes, data models, and infrastructure supporting reporting, analytics, and machine learning. Ensure data quality from creation through presentation layers, translate stakeholder needs into deliverables, improve tooling and pipeline reliability, and participate in on-call support. The role involves modern big data architecture, containerization, cloud platforms, and data engineering technologies.

Provides strategic, tactical, and operational leadership for statewide data governance initiatives. Develops governance frameworks, standards, metadata practices, and data-sharing processes; builds and leads the Oregon Data Stewards Council; assesses existing governance operations; and collaborates with agencies to support data integration, interoperability, transparency, policy evaluation, research, and business analysis. The role also facilitates consensus, trains stakeholders, coordinates advisory groups, and supports large-scale organizational change.

Designs and maintains Snowflake data models and ingestion pipelines supporting enterprise reporting across retail, cultivation, manufacturing, marketing, and finance. Refactors Power BI logic into governed, tested, version-controlled warehouse models; establishes modeling standards, data quality monitoring, documentation, and lineage. Partners with analysts and stakeholders to develop reusable reporting solutions, supports semantic and BI tooling, evaluates data platform technologies, mentors analysts, and contributes to shared pipeline ownership.

Leads multidisciplinary data engineering and research projects supporting sleep physiology and wearable-device modeling. Designs and maintains multimodal data pipelines, ETL workflows, schemas, databases, cloud infrastructure, and machine-learning data products. Oversees data ingestion, cleaning, performance optimization, governance, documentation, and regulatory support while mentoring engineers and analysts. Translates scientific hypotheses into scalable engineering solutions, communicates progress to leadership, and provides technical oversight across the full data ecosystem.

Process and analyze datasets, develop and maintain Power BI and Cognos reports and dashboards, troubleshoot data issues, collaborate with stakeholders and technical teams, and document reporting processes. The intern will support business intelligence needs while pursuing a related college degree and working full-time in summer and part-time during the school year.

Build and maintain dashboards, visualizations, analytics tools, and applications for Permian Production Operations. Retrieve, query, integrate, cleanse, validate, and model operational data from multiple systems. Translate findings into actionable insights that improve safety, reliability, efficiency, and decision-making. Collaborate with operations, engineering, HSE, supply chain, IT, and field teams; support data workflows, tool rollouts, application administration, end-user education, process automation, and analytics modernization.

Lead development and delivery of enterprise geospatial solutions: advanced spatial analysis, spatial modeling, automated GIS workflows, data governance, integration with business systems, dashboards and web mapping, field support, regulatory reporting, mentorship, and evaluation of emerging geospatial technologies to improve operations and compliance.

Builds and maintains scalable data pipelines, ETL infrastructure, data warehouses, and analytics tools. The role assembles complex datasets, automates processes, optimizes data delivery architecture, and supports cross-functional data initiatives. Collaborates with executive, product, data, and design stakeholders to resolve technical issues and improve analytics systems. Requires proficiency in SAS, Python, Java, MATLAB, SQL, NoSQL, Hadoop, MapReduce, Hive, Presto, UNIX, and Linux, with JavaScript, R, and basic machine learning preferred.

Lead design and governance of the company's sustainability data ecosystem. Build automated SQL/Python data pipelines, curate datasets and Power BI outputs, ensure methodology-aligned GHG and water accounting, support disclosures and third-party assurance, and deliver customized data packages for customers and investors.

Leads data analytics and operational transformation for the Magnetic Resonance team. Oversees exploratory analysis, predictive modeling, forecasting frameworks, metrics, visualizations, and scenario-based insights to improve delivery and installation performance. Partners with regional, segment, business, and technical stakeholders to support planning, strategic initiatives, data transparency, and continuous improvement. Travel to manufacturing or customer locations may be required.

Build expert-level Power BI solutions remotely on a two-month contract, using Power Apps, Power Automate, and the broader Power Platform. The developer will create solutions, apply deep platform knowledge, and interact directly with C-level executives. The role requires very senior implementation expertise but is below architect level.