{"schemaVersion":"jobsearcher.job.v1","id":"7d48d8889eb45efaa81fd72f","url":"https://jobsearcher.com/jobs/7d48d8889eb45efaa81fd72f","canonicalUrl":"https://jobsearcher.com/jobs/7d48d8889eb45efaa81fd72f","title":"Data Analyst","description":"Data Analyst Ruvixx Visit company website ↗ Palo Alto, California, USA dataanalyst Apply by Email Job Description [Hiring] Remote Data Analyst — $500–$1,000/month (₱28,500–₱57,000) — Full-Time, 100% Remote We are looking for a full-time Remote Data Analyst to join our team. We don't just do traditional analysis; we leverage AI tools to accelerate insights, automate cleaning, and build robust data pipelines. The Role: This is a full-time, 100% remote position. You will use a combination of SQL, Python, and AI tools (like Claude, ChatGPT, or Cursor) to transform raw data into actionable business intelligence. What You'll Actually Do- QA software outputs — audit and validate data flowing through our systems.- Build dashboards — turn data into visualizations stakeholders can act on (Looker Studio, Power BI, or Tableau).- Write documentation — explain the \"why\" behind your analyses so the team can act on them without you in the room. What We're Looking For1. Communication is #1 — Explain the \"why\" behind the data. Clear writing & critical thinking.2. Technical Literacy — Comfortable reading and writing SQL and Python. Data viz experience (Looker Studio, Power BI, Tableau) is a major plus. Proof: share a link to a SQL or Python project3. AI-First Mindset — You will use AI daily. We test whether you can validate AI output, not just generate it.4. Self-Starters — Leadership or self-managed-project history is highly valued. No years-of-experience requirement — just prove you can deliver. Compensation & Perks- Salary: $500–$1,000/month (₱28,500–₱57,000), full-time. Anchored to entry tier;negotiable based on skill and output.- Hours: Flexible hours with an asynchronous team.- Environment: No micromanagement; we focus on results and clear communication.- Cadence: Team syncs on selected days (Pacific Time). How to ApplyEmail [email protected] with:- A short intro about yourself.- Your resume / portfolio.- An example of a data project you've worked on (extra points if you explain how you used AI to build or optimize it).- A 150-word written response to: \"Describe a time you caught an error in data or code that others missed.\" Process: resume screen → 60-min live interview → update within 1-2 weeks.","company":"Pythonph","rawCompany":"pythonph","city":"Phillips","state":"WI","isRemote":false,"isActive":false,"createdAt":"2026-10-13T08:40:37.452Z","occupations":[{"code":"15-2051.01","title":"Business Intelligence Analysts","slug":"business-intelligence-analysts"},{"code":"15-2051.00","title":"Data Scientists","slug":"data-scientists"},{"code":"15-1243.01","title":"Data Warehousing Specialists","slug":"data-warehousing-specialists"}],"industries":[{"code":"541690","title":"Other Scientific and Technical Consulting Services","slug":"other-scientific-and-technical-consulting-services"},{"code":"541511","title":"Custom Computer Programming Services","slug":"custom-computer-programming-services"},{"code":"541611","title":"Administrative Management and General Management Consulting Services","slug":"administrative-management-and-general-management-consulting-services"}],"jobPosting":{"@context":"https://schema.org","@type":"JobPosting","title":"Data Analyst","description":"Data Analyst Ruvixx Visit company website ↗ Palo Alto, California, USA dataanalyst Apply by Email Job Description [Hiring] Remote Data Analyst — $500–$1,000/month (₱28,500–₱57,000) — Full-Time, 100% Remote We are looking for a full-time Remote Data Analyst to join our team. We don't just do traditional analysis; we leverage AI tools to accelerate insights, automate cleaning, and build robust data pipelines. The Role: This is a full-time, 100% remote position. You will use a combination of SQL, Python, and AI tools (like Claude, ChatGPT, or Cursor) to transform raw data into actionable business intelligence. What You'll Actually Do- QA software outputs — audit and validate data flowing through our systems.- Build dashboards — turn data into visualizations stakeholders can act on (Looker Studio, Power BI, or Tableau).- Write documentation — explain the \"why\" behind your analyses so the team can act on them without you in the room. What We're Looking For1. Communication is #1 — Explain the \"why\" behind the data. Clear writing & critical thinking.2. Technical Literacy — Comfortable reading and writing SQL and Python. Data viz experience (Looker Studio, Power BI, Tableau) is a major plus. Proof: share a link to a SQL or Python project3. AI-First Mindset — You will use AI daily. We test whether you can validate AI output, not just generate it.4. Self-Starters — Leadership or self-managed-project history is highly valued. No years-of-experience requirement — just prove you can deliver. Compensation & Perks- Salary: $500–$1,000/month (₱28,500–₱57,000), full-time. Anchored to entry tier;negotiable based on skill and output.- Hours: Flexible hours with an asynchronous team.- Environment: No micromanagement; we focus on results and clear communication.- Cadence: Team syncs on selected days (Pacific Time). How to ApplyEmail [email protected] with:- A short intro about yourself.- Your resume / portfolio.- An example of a data project you've worked on (extra points if you explain how you used AI to build or optimize it).- A 150-word written response to: \"Describe a time you caught an error in data or code that others missed.\" Process: resume screen → 60-min live interview → update within 1-2 weeks.","datePosted":"2026-10-13T08:40:37.452Z","dateModified":"2026-10-13T08:40:37.452Z","hiringOrganization":{"@type":"Organization","name":"Pythonph","sameAs":"https://jobsearcher.com"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Phillips","addressRegion":"WI","addressCountry":"US"}},"identifier":{"@type":"PropertyValue","name":"JobSearcher","value":"7d48d8889eb45efaa81fd72f"},"url":"https://jobsearcher.com/jobs/7d48d8889eb45efaa81fd72f"}}