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$29.5K

$114.3K

$167.5K

How much do business intelligence data jobs pay per year?

As of Jun 21, 2026, the average yearly pay for business intelligence data in the United States is $114,260.00, according to ZipRecruiter salary data. Most workers in this role earn between $94,000.00 and $142,500.00 per year, depending on experience, location, and employer.

Will AI replace data analysts?

AI tools are increasingly automating routine data analysis tasks, but Business Intelligence Data analysts play a crucial role in interpreting insights, making strategic decisions, and communicating findings. While AI can augment their work, human expertise remains essential for complex analysis, contextual understanding, and ethical considerations in data-driven environments.

What are the key skills and qualifications needed to thrive as a Business Intelligence Data professional, and why are they important?

To thrive as a Business Intelligence Data professional, you need strong analytical skills, expertise in data modeling, and proficiency in database management, typically supported by a degree in computer science, statistics, or a related field. Familiarity with BI tools like Tableau, Power BI, and SQL, as well as relevant certifications such as Microsoft Certified: Data Analyst Associate, is highly valuable. Excellent problem-solving, attention to detail, and effective communication enable you to translate complex data into actionable insights for stakeholders. These skills are essential for enabling data-driven decision-making and creating value for organizations through informed strategic planning.

How much does a business intelligence analyst get paid?

A business intelligence analyst's average salary in the United States ranges from $65,000 to $100,000 annually, depending on experience, location, and industry. Entry-level roles typically start around $55,000, while experienced analysts with advanced skills in tools like SQL, Tableau, or Power BI can earn over $100,000.

Is business intelligence a high paying job?

Business intelligence roles often offer competitive salaries, especially for professionals with skills in data analysis, SQL, and tools like Tableau or Power BI. Salaries vary based on experience, location, and industry, but they are generally above average compared to many other data-related positions.

How does a Business Intelligence Data professional typically collaborate with other departments within an organization?

Business Intelligence Data professionals frequently work with teams across the organization, such as marketing, finance, operations, and IT, to gather requirements and deliver actionable insights. They translate complex data into reports and dashboards tailored to different audiences, ensuring each department can make informed decisions. Effective communication and an understanding of business goals are essential, as BI data professionals often participate in cross-functional meetings and workshops to align analytics solutions with organizational strategies.

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

AspectBusiness Intelligence DataData Analyst
Primary FocusData collection, storage, and management for reportingData analysis, interpretation, and visualization
Skills & CertificationsSQL, data warehousing, BI tools (e.g., Tableau, Power BI)Statistical analysis, Excel, SQL, visualization skills
Work EnvironmentData warehouses, BI platforms, enterprise systemsData sets, spreadsheets, reporting tools
Industry UsageUsed by BI teams, data engineers, and database administratorsUsed by business analysts, data analysts, and decision-makers

Business Intelligence Data focuses on managing and organizing data for reporting and dashboard creation, while Data Analysts interpret and analyze data to provide insights. Both roles often collaborate but serve different functions within data-driven organizations.

Is business intelligence a good career path?

Business intelligence is a growing field that involves analyzing data to support decision-making, often requiring skills in data visualization tools like Tableau or Power BI and knowledge of databases. It offers opportunities in various industries with roles such as BI analyst or data analyst, typically requiring strong analytical skills and sometimes certifications. The career can be stable and rewarding for those interested in data-driven environments.

What is a Business Intelligence Data Analyst?

A Business Intelligence (BI) Data Analyst is a professional who collects, processes, and analyzes data to help organizations make informed business decisions. They use data visualization tools, databases, and reporting software to turn raw data into actionable insights. BI Data Analysts work closely with stakeholders to understand their data needs, create reports, and identify trends or patterns that can drive business growth. Their work supports strategic planning, performance measurement, and process improvements within a company.
More about Business Intelligence Data jobs
What cities are hiring for Business Intelligence Data jobs? Cities with the most Business Intelligence Data job openings:
What states have the most Business Intelligence Data jobs? States with the most job openings for Business Intelligence Data jobs include:
What job categories do people searching Business Intelligence Data jobs look for? The top searched job categories for Business Intelligence Data jobs are:
Business Intelligence Data jobs near you
Infographic showing various Business Intelligence Data job openings in the United States as of June 2026, with employment types broken down into 77% Full Time, 8% Part Time, and 15% Contract. Highlights an 87% Physical, 4% Hybrid, and 9% Remote job distribution, with an average salary of $114,260 per year, or $54.9 per hour.
Business Intelligence Data Analyst

Business Intelligence Data Analyst

Resource Management Service LLC

Birmingham, AL • On-site

Full-time

Posted 21 days ago

Job description

OVERVIEW:
The Business Intelligence Data Analyst supports RMS's Information Technology department by designing, developing, and maintaining enterprise business intelligence and data solutions. This role is responsible for transforming complex data into accurate, governed, and actionable insights through Power BI reporting, SQL data modeling, and Microsoft Power Platform solutions.
The position requires strong analytical skills, technical depth, and the ability to learn new systems quickly, retain knowledge, and apply it consistently across projects. The analyst works closely with IT and business stakeholders to deliver scalable reporting, data models, and automation that support operational and strategic decision-making.
RESPONSIBILITIES:
Activities include, but are not limited to the following:
Design, develop, and maintain Power BI reports, datasets, and data models aligned with enterprise standards.
  • Create and optimize DAX measures for accurate and performant analytics.
  • Write, optimize, and maintain advanced SQL/T-SQL queries for reporting and data validation.
  • Design and maintain relational tables, views, keys, and relationships in Microsoft SQL Server.
  • Build and manage Dataverse tables and relationships using Power Platform best practices.
  • Develop Power Apps (Canvas and Model-Driven) and Power Automate flows to support data capture, automation, and integrations.
  • Ensure BI and Power Platform solutions comply with governance standards, security requirements, and documentation expectations.
  • Collaborate with IT and business teams to gather requirements and deliver reliable data solutions.
  • Document data models, BI solutions, and technical processes.
  • Demonstrate the ability to retain knowledge, apply lessons learned, and improve solution quality over time.

Requirements
  • Bachelor's degree in Information Systems, Computer Science, Data Analytics, Business Analytics, or equivalent experience.
  • 3+ years of experience in business intelligence, data analytics, or a related IT role.
  • Strong experience with:

- Power BI (Desktop & Service)
- DAX
- SQL Server / T-SQL
- Power Apps (Canvas and Model-Driven)
- Power Automate
- Dataverse data modeling
  • Microsoft Fabric experience is a plus.
  • Solid understanding of relational data modeling and enterprise BI best practices.
  • Strong analytical, documentation, and communication skills.
  • Ability to learn new tools and concepts quickly and apply them consistently.

Apply