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Google Data Analyst Jobs in Oregon (NOW HIRING)

SOSi

Senior Data Scientist

Myrtle Point, OR

... into analytic solutions, ensuring integration of structured, unstructured, and geospatial data. Preferred Qualifications: * Desirable but not required certifications include Google Professional ...

Five9

OR

We are seeking Principal Product Manager, Google Gemini Enterprise for Customer Experience (GECX ... Exceptional analytical and problem-solving skills, with demonstrated ability to make data-driven ...

Care Access

OR

Use Excel, Google Sheets, or similar tools for reconciliations, reporting, tracking, and data analysis. * Process, Documentation, and Controls: * Follows standard operating procedures, approval ...

Care Access

OR · On-site

Use Excel, Google Sheets, or similar tools for reconciliations, reporting, tracking, and data analysis. * Process, Documentation, and Controls: * Follows standard operating procedures, approval ...

Ascension

Data Scientist

$96K - $134K/yr

Process & Analyze: Extract, clean, and preprocess structured healthcare data (EHR, billing, and ... Google Vertex AI) through coursework, research, internships, or projects. * Communication ...

Pantheon Systems, Inc

OR

$114K - $137K/yr

... including Google, Princeton, Salesloft and Doctors Without Borders. Every day, thousands of ... The Role The Data Platform team powers Pantheon's data infrastructure and delivers analytics across ...

Consensus Cloud Solutions

Revenue Analytics Associate

OR · Remote

$118K - $130K/yr

Think of this role as part Revenue Analyst and part Project Manager. You'll need project planning ... extracting data * 2+ years of experience and Advanced Knowledge of Excel / Google Sheets ...

Grant Street Group

OR

$70K - $90K/yr

Maintain strong data quality through the monthly close and reporting cycle, including flowing ... Strong Excel and Google Sheets skills, including experience working with large datasets, formulas ...

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All JobsGoogle Data Analyst JobsGoogle Data Analyst Jobs in Oregon

Google Data Analyst information

See Oregon salary details

$35.9K

$87.4K

$143.8K

How much do google data analyst jobs pay per year?

As of Aug 8, 2026, the average yearly pay for google data analyst in Oregon is $87,374.00, according to ZipRecruiter salary data. Most workers in this role earn between $66,100.00 and $102,600.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as a Google Data Analyst?

To thrive as a Google Data Analyst, you need strong analytical skills, proficiency in statistics, and a relevant degree in fields such as computer science, mathematics, or economics. Mastery of technical tools like SQL, Python, R, and data visualization platforms (e.g., Tableau, Looker), as well as Google Analytics certification, is highly valuable. Effective communication, critical thinking, and problem-solving abilities set top performers apart. These skills and qualities are crucial because they enable data analysts to extract actionable insights, communicate findings clearly, and drive impactful business decisions within fast-paced tech environments.

What does a Google Data Analyst do?

As a Google Data Analyst, you'll often work on projects involving the collection, cleaning, and analysis of large datasets to uncover valuable trends and insights for different teams or products. Daily tasks may include writing queries to extract data, building dashboards, preparing reports, and presenting findings to stakeholders from engineering, product, or marketing departments. You may also collaborate with cross-functional teams to design and implement experiments, measure key performance indicators, and make data-driven recommendations. This dynamic environment allows you to develop a broad skill set while contributing directly to business decisions and innovation.

What is a Google Data Analyst?

A Google Data Analyst is responsible for collecting, processing, and analyzing data to provide insights that drive business decisions. They use tools like SQL, Python, and Google Analytics to identify trends and improve processes. Their role involves data visualization, reporting, and stakeholder communication to support various teams.

What are the most commonly searched types of Google Data Analyst jobs in Oregon? The most popular types of Google Data Analyst jobs in Oregon are:
What are popular job titles related to Google Data Analyst jobs in Oregon? For Google Data Analyst jobs in Oregon, the most frequently searched job titles are:
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Google Data Analyst jobs near you
Infographic showing various Google Data Analyst job openings in Oregon as of August 2026, with employment types broken down into 1% As Needed, 70% Full Time, 26% Part Time, and 3% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $87,374 per year, or $42 per hour.

Senior Data Scientist

SOSi

Myrtle Point, OR

Full-time

Re-posted 20 days ago

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 Senior 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 design and implement advanced ML models and statistical methods to optimize forecasting, risk assessment, and decision-making processes.
  • The contractor shall conduct data provenance tracking, ensuring documentation of sources, transformations, and lineage for compliance with governance policies.
  • The contractor shall submit the Data Provenance & Lineage Report, summarizing transformation workflows, feature engineering processes, and audit compliance.
  • 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
  • Active TS/SCI Clearance.
  • Master’s degree in Data Science, Machine Learning, Statistics, or a related field, or;
    • nine (9) years of equivalent experience in AI/ML model development and deployment. 
  • Personnel must have demonstrated experience in building and validating AI/ML models using Python, TensorFlow, PyTorch, or Scikit-learn, integrating models into production environments, and optimizing performance for real-time analytics.
  • Experience with Databricks, Apache Spark, or similar distributed data processing frameworks is required.
  • Experience working with geospatial datasets and integrating AI/ML solutions into mission-critical applications.
  • Possess the knowledge and capability to develop advanced machine learning models and optimize analytic workflows for predictive and prescriptive intelligence.
  • Proficient in deep learning, supervised and unsupervised learning techniques, data wrangling, and feature engineering.
  • Experience with data provenance tracking, model explainability, and bias mitigation in AI/ML applications is required.
  • Personnel must be able to translate operational challenges into analytic solutions, ensuring integration of structured, unstructured, and geospatial data.

Preferred Qualifications:

  • Desirable but not required certifications include Google Professional Machine Learning Engineer, Microsoft Certified: Azure Data Scientist Associate, or TensorFlow Developer Certification.

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.