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Remote Big Data Analytics Jobs in Arizona (NOW HIRING)

Analytics Expert - Remote

Phoenix, AZ ยท Remote

$30 - $80/hr

Remote Job Overview We are seeking experienced Business Intelligence & Analytics Experts to ... You will work with dashboards, reports, KPIs, data visualizations, and leading BI platforms to ...

Lead Engineer, Data Platforms

Tempe, AZ ยท On-site +1

$111K - $133K/yr

... analytics, machine learning, and AI-driven workflows and will be responsible for designing and ... Real-time ETL/ELT and Big Data pipeline experience, especially with Kafka, Workato, ADF, Matillion ...

Lead Engineer, Data Platforms

Tempe, AZ ยท On-site +1

$111K - $133K/yr

... analytics, machine learning, and AI-driven workflows and will be responsible for designing and ... Real-time ETL/ELT and Big Data pipeline experience, especially with Kafka, Workato, ADF, Matillion ...

Lead Engineer, Data Platforms

Tempe, AZ ยท On-site +1

$111K - $133K/yr

... analytics, machine learning, and AI-driven workflows and will be responsible for designing and ... Real-time ETL/ELT and Big Data pipeline experience, especially with Kafka, Workato, ADF, Matillion ...

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 ...

Data Analyst (REMOTE)

Phoenix, AZ ยท Remote

$115K - $126K/yr

Develops ad-hoc analytics and reporting based on analysis of existing data sources, utilizing a variety of tools (i.e. SSRS, Tableau). Exhibits analytical rigor, judgment, and ability to present a ...

AI Data Science Expert - Remote

Phoenix, AZ ยท Remote

$100 - $200/hr

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 ...

Sr. Data Analyst

Tempe, AZ ยท On-site +1

By leveraging proprietary data and analytics, our solutions are tailored for each step of our ... Hybrid and remote work opportunities * Medical, dental, and vision with HSA and FSA options Note:

Sr. Data Analyst

Tempe, AZ ยท On-site +1

$115K - $145K/yr

By leveraging proprietary data and analytics, our solutions are tailored for each step of our ... Hybrid and remote work opportunities * Medical, dental, and vision with HSA and FSA options Note:

Showing results 21-40

Remote Big Data Analytics information

What is a remote big data analytics?

A Remote Big Data Analytics job involves analyzing large and complex data sets to extract insights, identify trends, and support data-driven decision-making, while working from a location outside a traditional office environment. Professionals in this role use tools like Hadoop, Spark, and SQL to process and interpret big data, often collaborating with teams virtually. They help businesses optimize operations, improve products, and better understand customer behavior. Remote Big Data Analysts must have strong analytical, technical, and communication skills to succeed in this flexible work arrangement.

What are the key skills and qualifications needed to thrive as a remote big data analytics professional?

To thrive as a Remote Big Data Analytics professional, you need a strong background in statistics, data modeling, and programming languages like Python or R, typically supported by a relevant degree in computer science, mathematics, or a related field. Familiarity with big data tools such as Hadoop, Spark, SQL databases, and cloud platforms like AWS or Azure, as well as certifications in these technologies, are highly valuable. Strong problem-solving skills, attention to detail, and the ability to communicate complex insights clearly are standout soft skills for this role. These skills enable effective data-driven decision-making and collaboration across distributed teams in dynamic business environments.

What are some common challenges faced by professionals working in remote big data analytics roles, and how can they be addressed?

Professionals in remote Big Data Analytics roles often encounter challenges related to data accessibility, effective communication with cross-functional teams, and managing time zones. Ensuring secure access to large datasets and collaborating efficiently with colleagues can be more complex when working remotely. To address these challenges, it's important to use robust cloud-based tools, establish clear communication practices, and schedule regular virtual check-ins. Additionally, developing strong self-discipline and time management skills can help maintain productivity and collaboration.

What is the difference between Remote Big Data Analytics vs Remote Data Engineer?

AspectRemote Big Data AnalyticsRemote Data Engineer
Required CredentialsBachelor's in CS, Data Science, or related; often certifications in analytics toolsBachelor's in CS, Software Engineering, or related; certifications in cloud platforms and data pipelines
Work EnvironmentData analysis platforms, cloud services, analytics toolsData pipelines, ETL tools, cloud infrastructure
Industry UsageFinance, healthcare, marketing, e-commerceTech, finance, healthcare, retail
Common Search & ComparisonYesYes

Remote Big Data Analytics focuses on analyzing large datasets to extract insights, using analytics tools and statistical methods. Remote Data Engineers build and maintain data pipelines and infrastructure to enable data analysis. While both roles work with big data, analytics professionals interpret data, whereas engineers develop the systems to process it.

What are the most commonly searched types of Big Data Analytics jobs in Arizona?

The most popular types of Big Data Analytics jobs in Arizona are:

What cities in Arizona are hiring for Remote Big Data Analytics jobs?

Cities in Arizona with the most Remote Big Data Analytics job openings:

Infographic showing various Remote Big Data Analytics job openings in Arizona as of August 2026, with employment types broken down into 1% As Needed, 85% Full Time, 11% Part Time, and 3% Contract. Highlights an 83% Physical, 5% Hybrid, and 12% Remote job distribution.

Analytics Expert - Remote

YO AI Labs

Phoenix, AZ โ€ข Remote

$30 - $80/hr

Full-time

Posted 11 days ago


Job description

Business Intelligence & Analytics Expert

Role Type: Contractor
Location: Remote

Job Overview

We are seeking experienced Business Intelligence & Analytics Experts to evaluate and improve AI-powered analytics workflows. You will work with dashboards, reports, KPIs, data visualizations, and leading BI platforms to provide accurate, practical feedback that helps train next-generation AI systems.

Key Responsibilities
  • Review and validate dashboards, reports, KPIs, and data visualizations.
  • Build or refine dashboards using Power BI, Tableau, Looker, Qlik, Sigma, or Databricks.
  • Check data sources, calculations, metrics, and reporting logic for accuracy.
  • Evaluate KPI structures and analytical outputs for actionable business insights.
  • Test AI agents such as ChatGPT Work, Codex, and Claude Cowork in analytics workflows.
  • Identify errors, inconsistencies, and opportunities for improvement.
  • Document findings and provide structured feedback.
  • Evaluate BI integrations with tools such as Google Drive, Slack, Microsoft 365, SharePoint, and Salesforce.
Required Skills
  • Business Intelligence
  • Data Analytics
  • Power BI
  • Tableau
  • Looker
  • Qlik
  • Sigma
  • Databricks
  • MySQL
  • Data Visualization
  • Dashboard Development
  • Reporting
  • KPI Analysis
  • ChatGPT Work
  • Codex
  • Claude Cowork
  • AI Agents
  • Workplace Connectors
Preferred Qualifications
  • Professional experience in BI, analytics, reporting, or data visualization.
  • Hands-on experience building or validating dashboards and analytical workflows.
  • Strong knowledge of BI tools, SQL, data sources, and KPI reporting.
  • Experience using generative AI or AI agents in professional workflows.
  • Experience integrating BI platforms with workplace and cloud-based systems.
  • Strong analytical, problem-solving, and communication skills.
  • Excellent attention to detail when reviewing data, calculations, and business metrics.