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Entry Level Google Data Analyst Jobs in Remote, OR

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... Google account (not a testing account) and enable personal data sources for a genuine assessment ... Exceptional Analytical Thinking: Demonstrate ability to evaluate nuanced and ambiguous AI responses ...

New

Continuously refine features and events by combining player feedback, data analysis and AI insights * Build expected progression models in Excel or Google Sheets to predict how players move through ...

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Business Analyst - US - Educational Rater - Gemini Employment Type: Contractor Assignment ... Experience using Microsoft Excel and Google Workspace * Ability to interpret data and apply basic ...

... speed data and communication solutions. Your efforts will drive meaningful connections and ... Conduct consultative needs analyses to tailor product recommendations for each prospective customer

Ensure data accuracy and consistency across platforms * Support analysis by identifying ... Familiarity with platforms like Canva, Google Ads, or Meta Ads Manager is a plus * Basic ...

Ensure data accuracy and consistency across platforms * Support analysis by identifying ... Familiarity with platforms like Canva, Google Ads, or Meta Ads Manager is a plus * Basic ...

Solution Consultant

OR · On-site +1

$125K - $155K/yr

... analytics to shorten time-to-prove. * Partner with Demo Engineering/Programs to keep environments and test-data fixtures reliable and reusable; log breakage and drive continuous improvement. POC ...

GTM Engineer

OR · On-site +1

More than 2,000 customers, including Google, Microsoft, Blackrock, T.Rowe Price, Adobe, Amazon ... Working at the intersection of Revenue Operations, Marketing, Sales, data, and technology, you will ...

More than 2,000 customers, including Google, Microsoft, Blackrock, T.Rowe Price, Adobe, Amazon ... Working at the intersection of Revenue Operations, Marketing, Sales, data, and technology, you will ...

Solution Consultant

Myrtle Point, OR · Remote

$125K - $155K/yr

More than 2,000 customers, including Google, Microsoft, Blackrock, T.Rowe Price, Adobe, Amazon ... Experience with demo automation/analytics tools (e.g., Consensus) and conversational intelligence ...

Recruit, hire, train, and supervise a team of entry-level trainees up to professional level ... productivity, analyze data to identify areas for improvement, and develop action plans

Recruit, hire, train, and supervise a team of entry-level trainees up to professional level ... productivity, analyze data to identify areas for improvement, and develop action plans

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Entry Level Google Data Analyst information

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How much do entry level google data analyst jobs pay per hour?

As of Sep 6, 2026, the average hourly pay for entry level google data analyst in Remote, OR is $32.89, according to ZipRecruiter salary data. Most workers in this role earn between $21.15 and $36.73 per hour, depending on experience, location, and employer.

What is an entry level Google data analyst?

Entry Level Google Data Analysts are professionals who collect, process, and analyze data to help organizations make informed decisions. At Google, these analysts typically work with large datasets using tools like SQL, spreadsheets, and data visualization platforms. Their responsibilities may include data cleaning, trend analysis, and generating reports to support various business functions. Entry level roles are designed for those new to the field, providing opportunities to learn and grow within the company.

What skills and qualifications are needed to thrive as an entry level Google data analyst?

To thrive as an Entry Level Google Data Analyst, you need a solid understanding of data analysis, statistics, and basic programming, often supported by a degree in a quantitative field or completion of a data analytics certification such as the Google Data Analytics Professional Certificate. Familiarity with tools like SQL, spreadsheets (Google Sheets, Excel), data visualization platforms (Tableau, Google Data Studio), and Google Analytics is essential. Strong attention to detail, problem-solving skills, and effective communication help analysts translate data insights into actionable recommendations for diverse stakeholders. These skills ensure accurate analysis, clear reporting, and informed decision-making within data-driven organizations.

What are common challenges faced by entry level Google data analysts, and how can they overcome them?

Entry-level Google Data Analysts often face challenges such as learning how to navigate large datasets, working with unfamiliar data tools, and translating complex data findings into actionable business insights. To overcome these, it's helpful to proactively seek feedback from more experienced team members, make use of available training resources, and participate in team meetings to better understand project goals. Collaborating closely with other analysts and stakeholders can also help build confidence and improve communication skills.

How do I get into an entry level Google data analyst role?

To enter an entry-level Google data analyst role, candidates typically need a bachelor's degree in a related field such as statistics, computer science, or business, along with skills in data analysis tools like SQL, Excel, and data visualization software. Gaining experience through internships, certifications like Google Data Analytics Professional Certificate, and developing strong analytical and problem-solving skills can improve chances of securing the position.

What are the most commonly searched types of Google Data Analyst jobs in Remote, OR?

The most popular types of Google Data Analyst jobs in Remote, OR are:

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LLM -AI Quality Analyst (Personalization) - English - REMOTE USA

Prointegrate LLC

OR • Remote

$16 - $17/hr

Contractor

Posted 3 days ago

New

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Job description

Role: LLM -AI Quality Analyst (Personalization) - English (NO C2C - Only freelancers can apply)

YoE: 1 year

Engagement Type: Short Term Contract (4 month)

Start Date: Immediately 

Skill: Experience in data annotation, AI quality evaluation, content moderation, or a related role is strongly preferred.

Availability: Full Time Availability(8 Hrs) and 4 hours overlap with the PST time zone for US


About Turing:

Based in San Francisco, California, Turing is the world’s leading research accelerator for frontier AI labs and a trusted partner for global enterprises deploying advanced AI systems. Turing supports customers in two ways: first, by accelerating frontier research with high-quality data, advanced training pipelines, plus top AI researchers who specialize in coding, reasoning, STEM, multilinguality, multimodality, and agents; and second, by applying that expertise to help enterprises transform AI from proof of concept into proprietary intelligence with systems that perform reliably, deliver measurable impact, and drive lasting results on the P&L

Role Overview:

As an AI Quality Analyst, you will evaluate a new personalization feature for Gemini. You will assess how well the model uses information from your past Gemini conversations, Gmail, Google Search, and YouTube activity to make responses more relevant and helpful. This role requires a unique blend of creativity and analytical rigor. You will actively design prompts from the perspective of your own personal experiences. You will then use your analytical skills to assess the quality of the model's personalized responses, evaluating dimensions like Grounding, Integration, and Helpfulness.

Key Qualifications

  • English Proficiency: Ability to read and write in English with a high degree of comp, as English is the focus language for this project.
  • Personal Account Usage: Willingness to use your primary personal Google account (not a testing account) and enable personal data sources for a genuine assessment.
  • Schedule Flexibility: Full-time availability in your local time zone is required.  We are staffing a global, 24-hour operations team.
  • Exceptional Analytical Thinking: Demonstrate ability to evaluate nuanced and ambiguous AI responses, specifically assessing personalization quality.
  • Creative Prompt Engineering: Experience in designing creative, multi-turn starting prompts based on personal context to thoroughly test the model's capabilities.
  • Strong Evaluation Acumen: Understanding of personalization concepts, including the ability to identify incorrect personalization, poor inferences, and forced connections.
  • Meticulous Attention to Detail: The ability to review Side-by-Side (SxS) model responses and spot subtle differences in naturalness and overnarrating.
  • Excellent Written Communication: Superior ability to write clear, concise, and structured rationales for model rankings, explicitly referencing specific turn numbers.
  • Feedback: Ability to provide constructive feedback and detailed annotations.
  • Communication: Excellent communication and collaboration skills.
  • Independence: Self-motivated and able to work independently in a remote setting.
  • Technical Setup: Desktop/Laptop set up with a good internet connection.

Description:

  • In this role, you will be part of a dynamic team focused on evaluating the quality of personalized AI interactions. Your day-to-day work will involve:
  • Designing and executing multi-turn conversational prompts (typically 1-5 turns) that require the AI to utilize your personal information and experiences.
  • Evaluating model responses based on your intent from the starting prompt, checking if the personalization was appropriately applied.
  • Analyzing responses for Grounding issues, ensuring claims about you are supported by evidence and not flawed inferences or hallucinations.
  • Assessing Integration quality to ensure personal data is woven naturally into the response without robotic "overnarrating".
  • Rigorously evaluating and stack-ranking two model responses side-by-side (SxS) to determine which is overall more helpful, easy to use, and enjoyable.
  • Writing clear, defensible rationales for your comparisons, explicitly referencing where issues or positive aspects occurred in the conversation.
  • Extracting and verifying "Debug Info" from the model to confirm that chat summaries and data sources were properly utilized.
  • Maintaining strict data hygiene by deleting evaluation conversations to prevent them from polluting your future chat history.

Education & Experience

  • BS/BA degree or equivalent experience in a relevant field (e.g., Policy, Law, Ethics, Linguistics, Journalism, Computer Science, or a related analytical field).
  • Experience in data annotation, AI quality evaluation, content moderation, or a related role is strongly preferred.

Offer Details:

  • Commitments Required: at least 4 hours per day and minimum 30 hours per week with 4 hours of overlap with PST. (We have 2 options of time commitment: 30 hrs/week or 40 hrs/week)
  • Engagement type: Contractor

Evaluation Process -

  • Shortlisted candidates will be sent a Job Interest Form.
  • After the profile review, an assessment will be shared, which must be completed within 24 hours.
  • Based on the assessment outcomes, shortlisted candidates will be contacted to discuss the pre‐onboarding requirements.