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Google Analytics Remote Jobs in Remote, OR (NOW HIRING)

SOSi

Senior Data Scientist

OR · On-site +1

The contractor shall provide a Rough Order of Magnitude (ROM) Estimate Report before each analytics ... Full remote flexibility. Working at SOSi All interested individuals will receive consideration and ...

Lumen Technologies

Lead Software Developer

OR · On-site +1

$108K - $136K/yr

... to collect, analyze, and leverage IT telemetry data and logs (using tools like Google Cloud ... Bonus Structure #LI-Remote #LI-VK1 Requisition #: 342469 Background Screening If you are selected ...

Project Sapiens

Renewal Operations Manager

OR · Remote

Remote - North America Position Summary: Sapiens is building a dedicated renewal function - and you ... Strong analytical skills - Excel/Google Sheets proficiency required; Salesforce experience ...

Sapiens

Renewal Operations Manager

OR · On-site +1

Remote - North America Position Summary: Sapiens is building a dedicated renewal function - and you ... Strong analytical skills - Excel/Google Sheets proficiency required; Salesforce experience ...

All JobsGoogle Analytics Remote JobsGoogle Analytics Remote Jobs in Remote, OR

Google Analytics Remote information

See Remote, OR salary details

$10

$52

$79

How much do google analytics remote jobs pay per hour?

As of Jul 6, 2026, the average hourly pay for google analytics remote in Remote, OR is $52.20, according to ZipRecruiter salary data. Most workers in this role earn between $37.93 and $65.10 per hour, depending on experience, location, and employer.

What does a typical day look like for someone working in a remote Google Analytics role?

A typical day in a remote Google Analytics role involves monitoring website and app performance, creating and reviewing reports, and collaborating with marketing or development teams to recommend optimizations based on data insights. You’ll frequently meet virtually with stakeholders to discuss campaign performance, manage and troubleshoot tracking tags, and identify new opportunities for analysis. Remote roles offer autonomy and flexibility, but also require regular communication through project management systems and video conferencing. The work is dynamic, with a mix of independent analysis and team-based problem solving, allowing you to make a significant impact on digital strategies from anywhere.

What are the key skills and qualifications needed to thrive in the Google Analytics Remote position, and why are they important?

To thrive as a Google Analytics Remote professional, you need strong analytical skills, expertise in web analytics, and a solid understanding of digital marketing or e-commerce, often supported by a relevant degree or certification such as Google Analytics Individual Qualification (GAIQ). Familiarity with Google Analytics platforms, Google Tag Manager, data visualization tools like Google Data Studio, and possibly basic coding (HTML, JavaScript) is crucial. Excellent communication, attention to detail, and the ability to self-manage in a remote environment distinguish top performers. These skills help ensure accurate data interpretation, actionable insights, and effective collaboration with cross-functional teams across digital initiatives.

How can I make 2000 a week working from home?

To earn $2000 weekly working remotely with a focus on Google Analytics, you can offer freelance analytics consulting, manage digital marketing campaigns, or provide data analysis services. Building a strong portfolio, acquiring relevant certifications, and using platforms like Upwork or Fiverr can help attract clients and increase income potential.

Is data analytics a good career for remote work?

Data analytics roles, including positions like Google Analytics specialists, are well-suited for remote work due to their focus on digital tools and online data analysis. These jobs often require proficiency with analytics platforms, data visualization, and communication skills, making remote collaboration feasible and common in the industry.

What is a Google Analytics Remote job?

A Google Analytics Remote job involves using Google Analytics to track, analyze, and report website traffic and user behavior while working from a remote location. Professionals in this role interpret data, create reports, and provide insights to optimize website performance. Common responsibilities include setting up tracking codes, segmenting audiences, and identifying trends to improve digital strategies. This job is ideal for data analysts, marketers, and SEO specialists who specialize in web analytics.

How to make $1000 a week remote?

A remote Google Analytics professional can earn $1000 or more weekly by securing freelance or contract projects, building a strong portfolio, and gaining certifications like Google Analytics Individual Qualification (GAIQ). Consistent work, specialized skills, and a reliable client base are essential to reach this income level remotely.
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Google Analytics Remote jobs near you
Senior Data Scientist

Senior Data Scientist

SOSi

OR • On-site, Remote

Full-time

Posted 19 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.

Apply