Top Remote Entry Level Data & Analytics Jobs in Portland, OR

As a Data Scientist at CoLab, you will design and deploy machine learning models, optimize features with large datasets, conduct A/B testing, and communicate insights through visualizations. Collaboration with engineering teams for model deployment and maintenance is key, along with ensuring data governance and infrastructure optimization.

The Support Engineer will manage day-to-day operations of scan data processes, submit and correct files, ensure smooth system performance, troubleshoot issues, and develop scripts using Node.js and SQL. Attention to detail and excellent documentation skills are essential.

Join Oura as a Governance, Risk, and Compliance (GRC) Analyst to manage and improve GRC activities aligning with organizational objectives. Responsibilities include conducting risk assessments, developing policies, collaborating on security programs, and managing audits. This remote role requires technical experience, GRC role experience, knowledge of laws and standards, and problem-solving skills.

As a Research Consultant, you will manage market research projects, develop questionnaires and discussion guides, oversee data collection, write reports, and visualize findings while nurturing client relationships. You will collaborate with team members and contribute to delivering actionable insights.

The Research Associate (Supply) will support the development of forest carbon projects through research, data analysis, and collaboration with team members. Responsibilities include project design, quality control, client communication, and developing recommendations based on analytical insights.

The Public Safety Data Specialist role focuses on utilizing PDF Handlebars and JSON for document generation, building templates for data exports, providing technical support to customers, and collaborating with public safety professionals to enhance service delivery. It requires excellent customer service skills and a strong technical foundation to bridge the gap between technical solutions and user needs.

Analyze large datasets to identify trends and areas for improvement. Drive business and technical requirements to enhance data analysis. Present complex findings clearly, utilizing strong statistical and analytical skills.