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Data Analyst

PythonphPhillips, WIL4 MidOctober 13th, 2026
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.