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Remote Data Transformation Analyst Jobs in Arizona

Remote Job Overview We are seeking experienced AI Data Science Domain Experts to contribute their ... No prior AI experience is required--your data science expertise, analytical thinking, and ...

Skilled at teaching data import, transformation, modeling, and visualization in Power BI. Guides ... Emphasizes translating business questions into analytical visualizations and connects Power BI to ...

Skilled at teaching data import, transformation, modeling, and visualization in Power BI. Guides ... Emphasizes translating business questions into analytical visualizations and connects Power BI to ...

Skilled at teaching data import, transformation, modeling, and visualization in Power BI. Guides ... Emphasizes translating business questions into analytical visualizations and connects Power BI to ...

Skilled at teaching data import, transformation, modeling, and visualization in Power BI. Guides ... Emphasizes translating business questions into analytical visualizations and connects Power BI to ...

Skilled at teaching data import, transformation, modeling, and visualization in Power BI. Guides ... Emphasizes translating business questions into analytical visualizations and connects Power BI to ...

Skilled at teaching data import, transformation, modeling, and visualization in Power BI. Guides ... Emphasizes translating business questions into analytical visualizations and connects Power BI to ...

Skilled at teaching data import, transformation, modeling, and visualization in Power BI. Guides ... Emphasizes translating business questions into analytical visualizations and connects Power BI to ...

$82K/yr

REMOTE OPTIONS, PHOENIX Categories: Accounting/Auditing, Administrative Support/Customer Service ... Arizona's Rural Health Transformation Program is supported by the Centers for Medicare & Medicaid ...

Remote Job Overview We are seeking experienced AI Data Science Domain Experts to contribute their ... No prior AI experience is required--your data science expertise, analytical thinking, and ...

Showing results 21-40

Remote Data Transformation Analyst information

What is a remote data transformation analyst?

A Remote Data Transformation Analyst is a professional who specializes in converting, cleaning, and organizing raw data into usable formats for analysis, all while working from a remote location. They work with large datasets, using tools and programming languages such as SQL, Python, or ETL (Extract, Transform, Load) platforms to ensure data accuracy and consistency. Their work supports business intelligence, reporting, and decision-making processes by making data accessible and actionable for stakeholders. Remote Data Transformation Analysts often collaborate with data engineers, data scientists, and other IT professionals to deliver high-quality data solutions.

What are some common challenges faced by remote data transformation analysts and how can they be addressed?

Remote Data Transformation Analysts often encounter challenges such as ensuring data accuracy across multiple sources, collaborating effectively with geographically dispersed teams, and managing tight project deadlines. To address these, it's important to establish clear communication channels, use project management tools to track progress, and routinely validate data transformations to maintain quality. Proactively seeking feedback from team members and stakeholders can also help quickly identify and resolve any issues, fostering a more efficient and collaborative remote work environment.

What are the key skills and qualifications needed to thrive as a remote data transformation analyst, and why are they important?

To thrive as a Remote Data Transformation Analyst, you need strong analytical skills, proficiency in data manipulation, and a background in computer science, information systems, or a related field. Familiarity with ETL tools (like Talend or Informatica), SQL, and data visualization platforms, as well as certifications in data analytics or related areas, are typically required. Excellent attention to detail, problem-solving abilities, and effective remote communication skills help you stand out in this role. These skills ensure accurate data transformation, seamless collaboration across distributed teams, and the delivery of actionable insights for business decision-making.

What is the difference between Remote Data Transformation Analyst vs Remote Data Engineer?

AspectRemote Data Transformation AnalystRemote Data Engineer
Required CredentialsBachelor's in Data Science, IT, or related field; SQL, Excel, data visualization skillsBachelor's or higher in Computer Science, Data Engineering; SQL, Python, cloud platforms
Work EnvironmentRemote, often part-time or project-based, collaborating with analysts and business teamsRemote or hybrid, involved in building and maintaining data pipelines and infrastructure
Employer & Industry UsageBusiness intelligence firms, finance, healthcare, retailTech companies, finance, e-commerce, large enterprises

The Remote Data Transformation Analyst focuses on cleaning, transforming, and visualizing data to support decision-making, while the Remote Data Engineer designs and maintains the data infrastructure and pipelines. Both roles require SQL skills and often work remotely, but Data Engineers typically have more programming and infrastructure responsibilities.

What are the most commonly searched types of Data Transformation Analyst jobs in Arizona?

The most popular types of Data Transformation Analyst jobs in Arizona are:

What are popular job titles related to Remote Data Transformation Analyst jobs in Arizona?

For Remote Data Transformation Analyst jobs in Arizona, the most frequently searched job titles are:

What job categories do people searching Remote Data Transformation Analyst jobs in Arizona look for?

The top searched job categories for Remote Data Transformation Analyst jobs in Arizona are:

What cities in Arizona are hiring for Remote Data Transformation Analyst jobs?

Cities in Arizona with the most Remote Data Transformation Analyst job openings:

AI Data Scientist Expert - Remote

Phoenix, AZ • Remote

$100 - $200/hr

Part-time

Re-posted 4 days ago


Job description

Job Title: AI Data Science Domain Expert

Job Type: Contractor (Part-Time)
Location: Remote

Job Overview

We are seeking experienced AI Data Science Domain Experts to contribute their expertise to an innovative project focused on advancing next-generation AI systems. In this role, you will review, evaluate, and refine AI-generated technical and analytical content to improve model accuracy, reasoning, and overall performance. No prior AI experience is required—your data science expertise, analytical thinking, and communication skills are what matter most.

Key Responsibilities
  • Review, edit, and refine AI-generated content for accuracy, clarity, and technical relevance.
  • Develop, optimize, and evaluate prompts to improve AI model performance.
  • Conduct rubric-based assessments of AI outputs and provide structured feedback.
  • Perform independent research and fact-checking to validate technical information.
  • Annotate data and support quality assurance initiatives for AI training.
  • Interpret complex datasets and prepare clear technical reports and summaries.
  • Collaborate remotely with project teams to improve AI models and workflows.
Required Skills
  • Critical Thinking
  • Analytical Reasoning
  • Prompt Engineering
  • AI Output Evaluation
  • Quality Assurance
  • Technical Documentation
  • Technical & Report Writing
  • Content Review & Editing
  • Data Annotation
  • Data Interpretation
  • Fact Checking
  • Independent Research
  • Problem-Solving
  • Attention to Detail
Preferred Qualifications
  • 3+ years of experience in Data Science, Machine Learning, Applied AI, Statistics, Quantitative Analytics, or Data Analytics.
  • Experience producing or reviewing research papers, analytical reports, technical documentation, experiment summaries, or data-driven recommendations.
  • Strong analytical reasoning, critical thinking, and written communication skills.
  • Experience with data annotation, content review, or rubric-based evaluation is preferred.
  • Familiarity with prompt engineering, AI output evaluation, fact-checking, or RLHF is a plus.
  • Master's, MBA, PhD, or other advanced degree is preferred.