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$76.5K

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$150.5K

How much do hourly power bi sql jobs pay per year?

As of Aug 23, 2026, the average yearly pay for hourly power bi sql in the United States is $111,307.00, according to ZipRecruiter salary data. Most workers in this role earn between $95,500.00 and $125,000.00 per year, depending on experience, location, and employer.

What is an hourly Power BI SQL professional?

Hourly Power BI SQL professionals are data experts who work on a contract or freelance basis, specializing in using Microsoft Power BI and SQL (Structured Query Language) to analyze, visualize, and manage data. They help organizations interpret complex data sets, build dashboards, and generate reports by connecting Power BI to various databases using SQL queries. Hiring these professionals on an hourly basis provides flexibility for businesses with short-term projects or fluctuating workloads. Their expertise enables companies to make data-driven decisions and optimize business processes without committing to full-time hires.

What skills and qualifications are needed to thrive as an hourly Power BI SQL professional?

To excel as an Hourly Power BI SQL professional, you need strong skills in data analysis, SQL querying, and Power BI dashboard development, typically supported by a degree in computer science or a related field. Familiarity with tools like Microsoft Power BI, SQL Server, DAX, and possibly certifications such as Microsoft Certified: Data Analyst Associate is highly valuable. Attention to detail, problem-solving ability, and effective communication help professionals translate complex data into actionable insights for stakeholders. These competencies ensure accurate data reporting, facilitate informed decision-making, and add value to business intelligence initiatives.

How does an hourly Power BI SQL professional typically collaborate with other team members on data-driven projects?

As an Hourly Power BI SQL professional, you will regularly work with business analysts, data engineers, and stakeholders to understand reporting needs, gather requirements, and translate them into impactful dashboards or reports. Collaboration often involves clarifying data definitions, ensuring data quality, and aligning on project timelines. You may participate in meetings to review requirements, troubleshoot data issues, and iterate on report designs based on team feedback. Effective communication and a proactive approach to collaboration are key to delivering valuable insights and meeting project objectives.

What is the difference between Hourly Power Bi Sql vs Data Analyst?

AspectHourly Power Bi SqlData Analyst
CredentialsPower BI certifications, SQL knowledgeDegree in data-related field, certifications optional
Work EnvironmentProject-based, freelance or contract roles, often remoteFull-time or part-time, corporate or consulting settings
Industry UsageData visualization, reporting, dashboard creationData interpretation, reporting, business insights

Hourly Power Bi Sql professionals focus on creating dashboards and reports using Power BI and SQL, often working on specific projects. Data Analysts perform broader data interpretation and insights, sometimes using Power BI and SQL but with a wider scope. Both roles require similar technical skills but differ in scope and work setting.

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Hourly Power Bi Sql jobs near you
Infographic showing various Hourly Power Bi Sql job openings in the United States as of August 2026, with employment types broken down into 1% As Needed, 49% Full Time, 45% Part Time, 1% Temporary, 3% Contract, and 1% Nights. Highlights an 99% Physical, and 1% Remote job distribution, with an average salary of $111,307 per year, or $53.5 per hour.

Senior Power BI Developer

Neshent Technologies

Wellesley Hills, MA • On-site

Full-time

Posted 10 days ago

Job description

Required Technical Skills
  • Strong hands-on experience with Power BI including report development, dashboard design, data modeling, and performance optimization.
  • Advanced knowledge of SQL for data extraction, transformation, and analysis.
  • Experience with Microsoft Azure data services and cloud-based BI solutions.
  • Experience with Sigma analytics platform.
  • Experience with Qlik Sense for data visualization and reporting.
  • Strong understanding of BI development lifecycle, reporting standards, and data analytics best practices.
Preferred Skills
  • Experience with SQL Server Integration Services (SSIS).
  • Experience with SQL Server Reporting Services (SSRS).
  • Knowledge of Azure Synapse Analytics.
  • Experience working with enterprise data warehouse and cloud analytics environments.
Roles and Responsibilities
  • Design, develop, and maintain complex Power BI reports, dashboards, and analytics solutions.
  • Gather business requirements and collaborate with clients to understand reporting needs and define technical solutions.
  • Translate business requirements into effective data models, visualizations, and reporting frameworks.
  • Develop optimized SQL queries and data solutions to support BI reporting needs.
  • Work with Azure-based data platforms to implement scalable analytics solutions.
  • Perform data analysis, validation, troubleshooting, and performance tuning of BI solutions.
  • Ensure report accuracy, usability, and adherence to business and technical standards.
  • Collaborate with cross-functional teams including business users, data engineers, and technical stakeholders.
Required Experience
  • 8+ years of experience in Business Intelligence, Data Analytics, and Reporting solutions.
  • Extensive experience with Power BI, SQL, and Azure.
  • Experience working directly with clients for requirements gathering, solution design, and implementation.

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