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Remote Meta Data Analyst Jobs in Oregon (NOW HIRING)

Data Scientist

OR · On-site +1

... Data Analytics - Specialty, Microsoft Certified: Azure AI Fundamentals, or Certified Data Scientist (CDS). Additional Information Work Environment * Full remote flexibility. Working at SOSi All ...

... Google, Meta, Mistral), including evaluation, benchmarking, and tradeoff analysis. * Model ... Data Engineering & Curation * Expertise in large-scale data collection, labeling, cleaning, and ...

Sr. Data Engineer

OR · On-site +1

$100K - $150K/yr

This role is remote-friendly and reports to the Manager, Data & Analytics Engineering. As a Sr. Data Engineer, your primary responsibility is to stay one step ahead of your fellow team members by ...

Enterprise Performance Analytics Engineer

OR · On-site +1

$80K - $110K/yr

Minimum Experience: * 1-3 years of experience in a data-related role (e.g., data analyst, data engineering intern, analytics engineer) How We Work Together * Location : Remote within the United ...

User Acquisition Manager

OR · On-site +1

$120K - $145K/yr

Work closely with Analytics and Data Science to validate attribution, forecast accurately, and ... Strong understanding of Meta's optimization ecosystem, including campaign structure, bidding ...

Sr. Fraud BI Analyst

OR · On-site +1

$98K - $144K/yr

They collect and transform raw data into actionable fraud insights, with an emphasis toward ... However, the remote location must be within the US. How you will spend your time: * Design and ...

Data Scientist

OR · On-site +1

The ideal candidate would have experience analyzing large and complex data sets related to web ... Remote work with regular in-person bonding experiences sponsored by the company * Competitive ...

You will partner with Ads GTM, Product, Data Science, and Engineering to ship production agents ... Meta, Shopify, or DoorDash. #LI-Remote

Systems Analyst

Tualatin, OR · On-site +1

$37.29/hr

Work in a flexible environment with remote work options available. * Contribute to meaningful ... Perform ad hoc reporting, data analysis, and system troubleshooting. * Participate in ...

Product New York, NY (Remote-Friendly) About the Role YipitData is making one of its most ambitious ... As a Senior Data Product Analyst, you will play a pivotal role in making that vision a reality. You ...

Actuarial Analyst

OR · On-site +1

$56K - $101K/yr

We're hiring Actuarial Analysts - Remote These opportunities are designed for individuals committed ... Preferred: Experience with Excel (pivot tables, formulas, indexing, data analysis) and VBA.

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Showing results 21-40

Remote Meta Data Analyst information

What is a remote meta data analyst?

A Remote Meta Data Analyst is a professional who works from a remote location to organize, manage, and analyze metadata—data that describes other data—within an organization. Their role typically involves ensuring the accuracy, consistency, and accessibility of metadata across digital systems, which helps improve data quality and supports business decision-making. They may work with data governance teams, IT departments, and business analysts to standardize data assets and comply with regulations. Strong analytical skills, attention to detail, and experience with metadata management tools are important for this role.

What are the key skills and qualifications needed to thrive as a remote meta data analyst?

To thrive as a Remote Meta Data Analyst, you need a solid understanding of data management principles, metadata standards, and a relevant degree in information science, computer science, or a related field. Familiarity with metadata management tools (such as Collibra or Alation), SQL, and data cataloging systems is typically required. Strong analytical thinking, attention to detail, and effective remote communication help you excel in this position. These skills ensure accurate data documentation, streamlined data governance, and effective collaboration across distributed teams.

How does a remote meta data analyst typically collaborate with other teams while working off-site?

As a Remote Meta Data Analyst, collaboration is primarily achieved through virtual meetings, project management platforms, and shared data repositories. You will frequently interact with data engineers, business analysts, and IT teams to ensure data accuracy, consistency, and usability. Regular check-ins, clear documentation, and proactive communication are essential for aligning on project goals and addressing any issues quickly. While remote, you are expected to be self-motivated and responsive to maintain seamless teamwork across different time zones and departments.

What is the difference between Remote Meta Data Analyst vs Remote Data Analyst?

AspectRemote Meta Data AnalystRemote Data Analyst
Required CredentialsBachelor's in Data Science, Information Technology, or related field; familiarity with metadata standardsBachelor's in Data Science, Statistics, or related field; proficiency in data analysis tools
Work EnvironmentRemote, often collaborating with data management teamsRemote, working with data sets and reporting tools
Industry UsageUsed in data management, digital asset management, and metadata catalogingCommon across finance, marketing, healthcare, and more for data insights

The Remote Meta Data Analyst focuses on managing and organizing metadata to ensure data quality and discoverability, while the Remote Data Analyst primarily analyzes data sets to generate insights. Both roles often work remotely and require strong analytical skills, but their core responsibilities differ in focus on metadata versus raw data analysis.

What cities in Oregon are hiring for Remote Meta Data Analyst jobs?

Cities in Oregon with the most Remote Meta Data Analyst job openings:

Infographic showing various Remote Meta Data Analyst job openings in Oregon as of August 2026, with employment types broken down into 100% Full Time. Highlights an 100% Remote job distribution.

Data Scientist

SOSi

OR • On-site, Remote

Full-time

Re-posted yesterday


Job description

Company Description
Founded in 1989, SOSi is among the largest private, founder-owned technology and services integrators in the defense and government services industry. We deliver tailored solutions, tested leadership, and trusted results to enable national security missions worldwide.
Job Description
SOSi is seeking a Data Scientist to support mission requirements for a structured approach to further develop, integrate, and sustain a scalable, federated data ecosystem that enhances interoperability, governance, and mission-driven analytics for a DoD customer. The primary objective of the program is to bridge the operational gaps between DoD, IC, interagency, and non-traditional international partners to enable real-time information sharing, dynamic data integration, and mission-tailored analytical capabilities.
Essential Job Duties:
  • The contractor shall develop and refine predictive models, conduct exploratory data analysis, and generate AI-driven insights to enhance intelligence and operational planning.
  • The contractor shall integrate customer feedback into model iteration cycles, leveraging Agile development methodologies to maintain responsiveness to mission requirements.
  • The contractor shall submit the Predictive Model Performance Report, documenting key findings, model accuracy metrics, and operational impact assessments.
  • The contractor shall implement sprint-based Agile methodologies, ensuring rapid development cycles, backlog grooming, and alignment with mission requirements.
  • The contractor shall provide a Rough Order of Magnitude (ROM) Estimate Report before each analytics project, detailing expected Full-Time Equivalent (FTE) hours, compute costs, storage consumption, and infrastructure requirements.
  • The contractor shall conduct quarterly reviews to track cost efficiency, assess system performance, and optimize analytic workflows through the Quarterly Cost & Resource Utilization Report.

Qualifications
  • Bachelor's degree in Data Science, Statistics, Computer Science, or a related field, or;
    • seven (7) years of equivalent experience in machine learning and predictive modeling.
  • Proposed personnel possess the knowledge and capability to develop and refine predictive models, analyze large-scale datasets, and document analytic processes.
  • Proficient in data mining, statistical modeling, and AI-driven forecasting techniques, with experience in working with structured and unstructured data sources.
  • Knowledge of data visualization, feature selection, and geospatial analytics is required.
  • Personnel must be capable of integrating data from multiple sources, ensuring model accuracy, and working within an Agile sprint cycle to deliver iterative improvements.
  • Demonstrated experience in exploratory data analysis, feature engineering, and statistical testing. Experience with Python, R, SQL, and data science libraries (e.g., Pandas, NumPy, SciPy) is required.
  • Personnel must have experience in cloud-based AI/ML tools, such as AWS SageMaker or Azure Machine Learning, and in implementing models into operational workflows.

Preferred Qualifications:
  • Desirable but not required certifications include AWS Certified Data Analytics - Specialty, Microsoft Certified: Azure AI Fundamentals, or Certified Data Scientist (CDS).

Additional Information
Work Environment
  • Full remote flexibility.

Working at SOSi
All interested individuals will receive consideration and will not be discriminated against for any reason.