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Flexible Remote Business Intelligence Jobs (NOW HIRING)

Jobgether

$39.25 - $51/hr

Fully remote working opportunity. * Competitive compensation. * Significant ownership across the end-to-end data and business intelligence stack. * Opportunity to work with modern AWS data ...

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Flexible Remote Business Intelligence information

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How much do flexible remote business intelligence jobs pay per hour?

As of Sep 3, 2026, the average hourly pay for flexible remote business intelligence in the United States is $53.79, according to ZipRecruiter salary data. Most workers in this role earn between $43.99 and $61.54 per hour, depending on experience, location, and employer.

What is the difference between Flexible Remote Business Intelligence vs Data Analyst?

AspectFlexible Remote Business IntelligenceData Analyst
CredentialsOften requires BI certifications, SQL, and data visualization skillsTypically requires a degree in data science, statistics, or related field
Work EnvironmentRemote, collaborative with BI teams, using BI toolsRemote or on-site, analyzing data sets, creating reports
Industry UsageCommon in tech, finance, and consulting sectorsWidely used across various industries including marketing, healthcare, and finance

Flexible Remote Business Intelligence and Data Analyst roles share skills like data analysis and SQL, but BI focuses more on creating dashboards and strategic insights, while Data Analysts often handle raw data and reporting. Both roles are in high demand for remote work across multiple industries.

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Cities with the most Flexible Remote Business Intelligence job openings:

What are the most commonly searched types of Remote Business Intelligence jobs?

The most popular types of Remote Business Intelligence jobs are:

What states have the most Flexible Remote Business Intelligence jobs?

States with the most job openings for Flexible Remote Business Intelligence jobs include:

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Flexible Remote Business Intelligence jobs near you
Infographic showing various Flexible Remote Business Intelligence job openings in the United States as of August 2026, with employment types broken down into 83% Full Time, 14% Part Time, and 3% Contract. Highlights an 90% Physical, 3% Hybrid, and 7% Remote job distribution, with an average salary of $111,882 per year, or $53.8 per hour.

Business Intelligence & Analytics Expert - Remote

YO AI Labs

California City, CA • Remote

$30 - $80/hr

Full-time

Posted 8 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.