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Top Entry Level Data & Analytics Jobs in Portland, OR

165+ Job Results
6 Days Ago
2 Locations
Remote
Entry level
Entry level
Healthtech
This is an invitation to join Rialtic's Talent Community. It allows candidates to submit their resumes even if no suitable positions are currently available, promoting a diverse and inclusive workplace.
6 Days Ago
USA
Remote
56 Employees
70K-100K Annually
Entry level
56 Employees
70K-100K Annually
Entry level
Cybersecurity
Halcyon is seeking an experienced Threat Analyst to advance detection and prevention capabilities, ensuring customer protection from the latest threats without disrupting business function.
7 Days Ago
United States
Remote
490 Employees
Entry level
490 Employees
Entry level
Software
The Data Scientist will collect data, apply analytical and statistical methods to extract insights, and create visualizations for stakeholders. The role requires working with various data tools and managing data warehouses to ensure effective data integration and analysis.
7 Days Ago
United States
Remote
374 Employees
69K-73K Annually
Entry level
374 Employees
69K-73K Annually
Entry level
Consulting
The Research Associate will contribute to the Military Recruiting Research team's efforts by designing and executing large-scale surveys and qualitative research, analyzing data, preparing reports, and communicating findings. The role involves client collaboration and quality control across multiple projects to ensure impactful research outcomes.
7 Days Ago
United States
Remote
120 Employees
Entry level
120 Employees
Entry level
Artificial Intelligence • Machine Learning
As a Data Annotator, you will label and curate data to train AI models through tasks such as annotating images, tagging text, and generating educational content. You will ensure high-quality data for accuracy and performance in AI systems, requiring STEM expertise, attention to detail, and the ability to review your work consistently.
Top Benefits:
401-K
401-K Matching
Child Care Benefits
+27 More
8 Days Ago
USA
Remote
20 Employees
Entry level
20 Employees
Entry level
Information Technology
Join a team that is building a search engine aimed at simplifying access to information generated by sensing technologies like satellites and drones. The company focuses on developing cutting-edge technologies in data indexing and search, inviting applicants for general roles to help change how different sectors interact with Earth data.
8 Days Ago
USA
Remote
67 Employees
75K-150K Annually
Entry level
67 Employees
75K-150K Annually
Entry level
Sports • eSports
As a Data Engineer, you will design and maintain ETL pipelines, develop data schemas, implement secure data storage procedures, optimize data processing tasks, and coordinate with data providers. Senior Data Engineers will take on leadership roles, breaking down projects, mentoring junior engineers, and improving ETL tools.
9 Days Ago
United States
Remote
141K-188K Annually
Entry level
141K-188K Annually
Entry level
Automotive
The Manager of Software Engineering - Data at TrueCar will lead a team of data engineers, managing product roadmaps and driving engineering practices while collaborating with various stakeholders to enhance their online platform. Responsibilities include providing technical guidance, mentoring team members, and shaping the technical roadmap.
9 Days Ago
United States
Remote
312 Employees
115K-135K Annually
Entry level
312 Employees
115K-135K Annually
Entry level
Security
As a Data Engineer I, you will create and maintain scalable code for data needs, improve software processes, develop observability tools for monitoring data jobs, work with Data and MLOps Engineers to integrate data features, mentor teams on software best practices, and innovate solutions to data challenges.
10 Days Ago
United States
Remote
371 Employees
Entry level
371 Employees
Entry level
AdTech • Marketing Tech
As a Data Engineer at StackAdapt, you will design and implement modular and scalable real-time data pipelines, work on custom ML algorithms, and manage microservices for training and monitoring ML models in a collaborative environment.
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