Data Analyst Jobs (Remote) — Rex.zone

Data analyst jobs remote is a high-intent search entity, and this Rex.zone page exists to help you get hired. We curate remote data analyst roles across AI labs, tech startups, BPOs, and annotation vendors, covering core BI and modern AI/ML data operations: RLHF, data labeling QA, prompt evaluation, named entity recognition reviews, computer vision annotation audits, content safety labeling metrics, and LLM training pipelines. Our goal is to connect your SQL/Python skills with real-world workflows that improve training data quality and model performance. Whether you seek contract, freelance, or full-time opportunities—entry-level to senior—discover openings, compare compensation, and apply directly on Rex.zone.

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About the Work

Remote data analysts turn raw data into actionable insight. On Rex.zone, you will find roles that span business intelligence, product analytics, and ML operations analytics. Typical workflows combine data extraction (SQL/ETL), transformation (dbt/Python), visualization (Tableau/Looker/Power BI), and decision support (experiments, cohorting, forecasts). For AI/ML teams, analysts also quantify training data quality, assess annotation guidelines compliance, and build dashboards for model performance improvement and large language model evaluation.

Key Responsibilities

While duties vary by employer type and domain, the core responsibilities in data analyst jobs remote center on systematic problem solving, analytical rigor, and clear storytelling.

Required Skills

Great remote analysts bring both technical depth and communication strength. Rex.zone employers prioritize hands-on, production-grade skills and an outcomes mindset.

Tooling & Tech Stack

Employers on Rex.zone expect pragmatic choices over novelty. Focus on tools that help you ship reliable, explainable answers quickly.

Domains & Workflows in AI/ML Data

Beyond traditional BI, many data analyst jobs remote now touch the AI data lifecycle. Rex.zone highlights openings where analytics meaningfully improves model outcomes.

Employment Types & Career Levels

This page covers data analyst jobs remote across contract, freelance, and full-time; entry-level to senior/principal. We also list internships and part-time arrangements.

Who Hires on Rex.zone

Rex.zone aggregates employers where remote analysts can have leverage and impact.

Compensation & Benefits (Typical Ranges)

Ranges vary by region, company stage, and skills. Your offer will reflect scope, domain expertise, and impact. Rex.zone listings often disclose bands up front.

How to Apply on Rex.zone

Applying is straightforward and async. We optimize for signal, not paperwork.

Why Rex.zone

Rex.zone is built for high-signal matching. We understand that data analyst jobs remote aren’t one-size-fits-all. Our taxonomy maps your skills to employer requirements—from BI foundations to LLM analytics—so you spend less time searching and more time delivering value.

Search Modifiers & Keywords We Support

We optimize this page for informational, transactional, and navigational intents by covering common queries tied to data analyst jobs remote.

Frequently Asked Questions

  • Q: What types of data analyst jobs remote can I find on Rex.zone?

    You’ll find contract, freelance, and full-time roles across entry-level, mid-level, and senior tracks. Domains include BI/product analytics and AI/ML data operations such as RLHF analytics, data labeling QA, prompt evaluation, named entity recognition audits, computer vision annotation review, content safety labeling metrics, and LLM training pipelines.

  • Q: What skills should I highlight to stand out?

    Emphasize SQL mastery, Python (Pandas/NumPy), dashboarding (Tableau/Looker/Power BI), statistical reasoning, and experience with dbt and Airflow/Prefect. For AI-heavy roles, show work on training data quality, annotation guidelines compliance, model performance improvement, and large language model evaluation.

  • Q: Do you list entry-level data analyst jobs remote?

    Yes. We regularly host entry-level and junior roles. Strengthen your profile with a small portfolio: a cleaned dataset, a reproducible dbt project, and a dashboard demonstrating metric definitions and decision-making.

  • Q: Are international candidates eligible for remote roles?

    Many employers are globally distributed and hire across time zones. Each posting notes location constraints, work authorization, and time zone expectations.

  • Q: What compensation ranges should I expect?

    Ranges vary by region and seniority. Typical bands: entry-level $55k–$85k, mid $85k–$125k, senior $120k–$180k, with comparable hourly rates for contractors. Listings on Rex.zone specify ranges when available.

  • Q: How does Rex.zone improve my chances of getting hired?

    Our matching emphasizes measurable impact. We structure roles by skills, domains, and stack—ensuring your SQL, Python, and analytics experience aligns with employer needs. You apply once and get routed to multiple opportunities.

  • Q: What deliverables do remote employers expect during interviews?

    Common tasks include a SQL challenge, a short Python notebook for EDA, and an executive-ready dashboard or memo explaining metrics and an A/B test. AI-focused roles may ask for an audit of annotation guidelines compliance or a brief LLM evaluation plan.

230+Domains Covered
120K+PhD, Specialist, Experts Onboarded
50+Countries Represented

Industry-Leading Compensation

We believe exceptional intelligence deserves exceptional pay. Our platform consistently offers rates above the industry average, rewarding experts for their true value and real impact on frontier AI. Here, your expertise isn't just appreciated—it's properly compensated.

Work Remotely, Work Freely

No office. No commute. No constraints. Our fully remote workflow gives experts complete flexibility to work at their own pace, from any country, any time zone. You focus on meaningful tasks—we handle the rest.

Respect at the Core of Everything

AI trainers are the heart of our company. We treat every expert with trust, humanity, and genuine appreciation. From personalized support to transparent communication, we build long-term relationships rooted in respect and care.

Ready to Shape the Future of Data & Analytics?

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