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Business Intelligence Analyst Jobs (NOW HIRING)

The Business Intelligence Analyst use data to figure out market and business trends for companies to increase profits and efficiency. They may work directly for a company or as a consultant. They ...

Business Intelligence Analyst Company: The Boeing Company Boeing Commercial Airplanes (BCA) is currently seeking a Business Intelligence Analyst (BI Analysis) to join the Auburn Fabrication Division ...

Business Intelligence Analyst

Auburn, WA · On-site

$103K - $127K/yr

Business Intelligence Analyst Company: The Boeing Company Boeing Commercial Airplanes (BCA) is currently seeking a Business Intelligence Analyst (BI Analysis) to join the Auburn Fabrication Division ...

The BI Analyst will support the Business Intelligence Department by assisting with the collection of data from various sources to improve workflow efficiency and firmwide reporting. This role will ...

Summary The Business Intelligence Analyst will leverage their business and technical knowledge to design, develop, and implement reports and analytics solutions in Power BI. Will work with business ...

Summary The Business Intelligence Analyst will leverage their business and technical knowledge to design, develop, and implement reports and analytics solutions in Power BI. Will work with business ...

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Business Intelligence Analyst information

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$45.5K

$99.9K

$163.5K

How much do business intelligence analyst jobs pay per year?

As of Jul 23, 2026, the average yearly pay for business intelligence analyst in the United States is $99,864.00, according to ZipRecruiter salary data. Most workers in this role earn between $76,000.00 and $116,000.00 per year, depending on experience, location, and employer.

What is the job of a business intelligence analyst?

A business intelligence analyst collects, analyzes, and interprets data to help organizations make informed business decisions. They use tools like SQL, data visualization software, and reporting platforms to identify trends, create dashboards, and support strategic planning. Strong analytical skills and knowledge of data management are essential for this role.

What does a CIA analyst get paid?

A CIA analyst typically earns a salary comparable to federal government pay scales, with entry-level positions starting around $60,000 to $80,000 annually. Experienced analysts with specialized skills or security clearances can earn over $100,000 per year, often supplemented by benefits and allowances.

What is the highest salary for a business intelligence analyst?

The highest salaries for business intelligence analysts can exceed $120,000 annually, especially for those with extensive experience, advanced skills in tools like SQL and Tableau, and certifications. Senior or specialized roles in large organizations or high-demand industries tend to offer the highest compensation.

How much can a business intelligence analyst make?

A business intelligence analyst's salary varies based on experience, location, and industry, but typically ranges from $60,000 to $100,000 annually. Senior analysts with advanced skills in data visualization tools and SQL can earn higher salaries, often exceeding $110,000 per year.

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

Business Intelligence Analysts work closely with various departments such as marketing, finance, operations, and IT to understand their data needs and provide actionable insights. They often participate in cross-functional meetings to discuss reporting requirements, develop dashboards, and interpret data trends. Effective communication and collaboration are key, as analysts must translate complex data findings into clear, business-friendly recommendations that support strategic decision-making. This collaborative environment helps ensure that data-driven solutions align with the organization's overall goals.

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

AspectBusiness Intelligence AnalystData Analyst
Required SkillsData visualization, SQL, reporting tools, business acumenData cleaning, statistical analysis, Excel, SQL
Work EnvironmentBusiness intelligence teams, analytics departmentsData-focused teams, research departments
Industry UsageWidely used in corporate, finance, marketingCommon across various sectors including healthcare, retail

Business Intelligence Analysts focus on creating reports and dashboards to support strategic decisions, often working with BI tools and visualizations. Data Analysts handle data collection, cleaning, and analysis to uncover insights. While both roles require SQL and analytical skills, BI Analysts emphasize reporting and business insights, whereas Data Analysts focus more on data processing and statistical analysis.

What Does a Business Intelligence Analyst Do?

A business intelligence analyst or BI analyst uses data to determine a future business or market trend. Their goal is to increase a company’s efficiency and profits, using data mining and analysis to find the information they need for reporting. This information can help a company to analyze a trend so that they can stay ahead of their competitors. Most of the work that a business intelligence analyst does is on a computer. People in BI may also explore current conditions so they can see how a company is doing in the present. Once they compile the information, an analyst shares it with the necessary departments.

What is a Business Intelligence Analyst?

A Business Intelligence Analyst is a professional who uses data analysis and reporting tools to help organizations make informed business decisions. They collect, process, and analyze large sets of data to identify trends, patterns, and insights that can improve business operations and strategy. BI Analysts often create dashboards, reports, and visualizations to communicate their findings to stakeholders and management. Their work supports data-driven decision-making across various departments within a company.

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

To thrive as a Business Intelligence Analyst, you need strong analytical skills, data interpretation abilities, and a relevant degree such as in computer science, business, or statistics. Proficiency with BI tools like Tableau, Power BI, SQL, and familiarity with data warehousing systems are typically required, along with certifications such as Microsoft Certified: Data Analyst Associate. Excellent communication, problem-solving, and stakeholder management skills help analysts translate data insights into actionable business strategies. These competencies are essential for driving informed decision-making and delivering measurable value to organizations.
What cities are hiring for Business Intelligence Analyst jobs? Cities with the most Business Intelligence Analyst job openings:
What are the most commonly searched types of Business Intelligence Analyst jobs? The most popular types of Business Intelligence Analyst jobs are:
Who are the top companies hiring for Business Intelligence Analyst jobs? The top employers for Business Intelligence Analyst jobs are:
What states have the most Business Intelligence Analyst jobs? States with the most job openings for Business Intelligence Analyst jobs include:
Infographic showing various Business Intelligence Analyst job openings in the United States as of July 2026, with employment types broken down into 89% Full Time, 6% Part Time, 1% Temporary, and 4% Contract. Highlights an 83% Physical, 7% Hybrid, and 10% Remote job distribution, with an average salary of $99,864 per year, or $48 per hour.
Business Intelligence Analyst

Business Intelligence Analyst

Prolim Global

Austin, TX • On-site

Contractor

Posted 15 days ago


Job description

Prolim is hiring for a Business Intelligence Analyst/ Data Analyst for a leading client
 
Contract: Long term
Location: Austin, TX
 

I.  DESCRIPTION OF SERVICES

The Specialist position is rarely selected and should only be considered after all other levels have been exhausted. The Specialist position is considered an expert position that has a comprehensive and authoritative knowledge of or unique skillset in a particular area. The Business Intelligence Analyst use data to figure out market and business trends for companies to increase profits and efficiency. They may work directly for a company or as a consultant. They able to look at large chunks of data and understand trends, and then communicate those trends to the company.

The Department of Information Resources (DIR) requires the services of a Business Intelligence Analyst Specialist hereafter referred to as Worker, who meets the general qualification of Business Intelligence Analyst Specialist, Emerging Technologies and the specifications outlined in this document for Health and Human Services Commission (HHSC) Information Technology.         

All work products resulting from the project shall be considered “works made for hire” and are the property of the HHSC. HHSC may include pre-selection requirements that potential Vendors (and their Workers) submit to and satisfy criminal background checks as authorized by the Texas law. HHSC will pay no fees for interviews or discussions, which occur during the process of selecting a Worker(s).

HHSC IT is doing a targeted data curation in the Performance Management & Analytics System (PMAS) for Medicaid Reporting on Medicaid Personal Care Services.

This development effort will utilize an agile methodology based upon the approach currently in use at HHSC for the Performance Management & Analytics System (PMAS). 

Overview

The Worker will serve as a senior Business/Systems analyst gathering business and technical requirements, data requirements, business rules, acceptance criteria, including non-visualization business requirements, and then translating to test plans, test scenarios and test cases for a full requirements traceability matrix. The worker will facilitate integration of technical data sources across the Health and Human Services (HHS) departments and agencies. This role empowers HHS staff to effectively develop complex queries, often using AI prompting techniques to access, synthesize, and report accurate data for official, agency reporting and strategic decision-making. The ideal candidate has strong analytical skills, a deep understanding of HHS programs and data, strong history of BI/DW development, and exceptional communication abilities to bridge the gap between technical data systems and operational users in the emerging context of AI.

 

Responsibilities

•       Requirements and Testing

        o      Work with program areas and project sponsor to gather business requirements and translate into technical specifications.

        o      Lead as Test Manager creating test plans and test cases that integrate from Agile sprint cycles, epics and stories, as well as Waterfall project plans and all project artifacts

        o      Translate complex data requests and operational requirements into clear, actionable queries for AI against complex analytics data sources.

        o      Explain technical findings and data limitations in simple, non-technical language to end-users.

•       AI Prompting and Data Synthesis

        o      Develop and refine effective AI prompts and query strategies to retrieve and synthesize data accurately from complex datasets.

        o      Guide non-technical users in crafting precise prompts to get the data they need, ensuring fidelity and accuracy.

        o      Develop a library of standardized prompts and query templates for common reporting needs.

•       Data Reporting and Visualization

        o      Extract, integrate, and analyze data from multiple complex internal and external sources to support HHS program needs.

        o      Collaborate with end-users and performance analysts or IT internal leaders to create and validate reports, dashboards, and data visualizations for program monitoring and official reporting.

        o      Provide subject matter expertise on validating output from AI, particularly with respect to identifying and mitigating hallucinations.

        o      Ensure all data outputs adhere to agency reporting standards, data governance, and compliance regulations.

•       Data Literacy and Training

        o      Champion data literacy across the organization by developing and conducting AI training sessions for non-technical staff.

        o      Create clear, comprehensive documentation and tutorials on using AI tools for data synthesis.

        o      Promote a data-driven culture by enabling and empowering all employees to effectively utilize data and AI.

•       Collaboration and Problem-Solving

        o      Work closely with data engineering, IT, and Program teams to troubleshoot data-related issues and address inconsistencies and mitigation strategies.

        o      Provide expert guidance to program staff on interpreting data trends and answering complex data questions.

        o      Stay up to date on new AI and data analytics tools and techniques to continuously improve data access, data quality and reporting.

II.  CANDIDATE SKILLS AND QUALIFICATIONS

Minimum Requirements:
Candidates that do not meet or exceed the minimum stated requirements (skills/experience) will be displayed to customers but may not be chosen for this opportunity.

Years

Required/Preferred

Experience

10

Required

Experience gathering business requirements and translating complex data requests and operational requirements into clear, actionable queries for complex analytics data sources

10

Required

Experience explaining technical findings and data limitations in simple, non-technical language to end-users.

10

Required

Experience in a complex data analysis, senior business/systems analyst, and/or data liaison role.

10

Required

Strong experience with SQL for data extraction and manipulation.

10

Required

Experience collaborating with end-users and performance analysts or IT internal leaders to create and validate reports, dashboards, and data visualizations for program monitoring and official reporting.

10

Required

Excellent communication, presentation, and interpersonal skills.

10

Required

Experience with data visualization tools such as Power BI and/or Tableau.

5

Preferred

Experience with Business Intelligence/Data Warehouse

5

Preferred

Experience working in a health and human services or similarly regulated environment, with a strong understanding of program data and reporting requirements.

5

Preferred

Experience with data governance and data quality principles

2

Preferred

Experience championing data literacy across the organization by developing and conducting training sessions for non-technical staff.

2

Preferred

Experience training and mentoring staff with varying levels of data literacy.

1

Preferred

Experience with creating AI prompt catalogs using tools such as Streamlit with Python.

1

Preferred

Experience applying responsible AI practices and compliance with agency standards.