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Business Intelligence Analyst Jobs in Texas (NOW HIRING)

Job Summary The Business Intelligence Analyst designs, develops, and maintains business intelligence reports, dashboards, and data visualizations that support operational and strategic ...

Job Summary The Business Intelligence Analyst designs, develops, and maintains business intelligence reports, dashboards, and data visualizations that support operational and strategic decision ...

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 ...

As our Business Intelligence Analyst, you will turn raw data into the decisions that move AWL forward - aggregating, analyzing, and translating information into insights leaders can act on. You will ...

As our Business Intelligence Analyst, you will turn raw data into the decisions that move AWL forward - aggregating, analyzing, and translating information into insights leaders can act on. You will ...

Position Overview We are seeking a motivated Business Intelligence Analyst to join our growing analytics team. This role is designed for someone who is eager to build hands-on experience with modern ...

Position Overview We are seeking a motivated Business Intelligence Analyst to join our growing analytics team. This role is designed for someone who is eager to build hands-on experience with modern ...

Position Overview We are seeking a motivated Business Intelligence Analyst to join our growing analytics team. This role is designed for someone who is eager to build hands-on experience with modern ...

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Showing results 1-20

Business Intelligence Analyst information

See Texas salary details

$42.4K

$93K

$152.3K

How much do business intelligence analyst jobs pay per year?

As of Sep 6, 2026, the average yearly pay for business intelligence analyst in Texas is $93,039.00, according to ZipRecruiter salary data. Most workers in this role earn between $70,800.00 and $108,100.00 per year, depending on experience, location, and employer.

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 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 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.

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.

Is business intelligence analyst a high paying job?

Business Intelligence Analysts typically earn above-average salaries compared to many other roles, with compensation often increasing with experience, certifications, and proficiency in tools like SQL and Tableau. The role's salary can vary based on industry, location, and company size, but it is generally considered a well-paying position in the data and analytics field.

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 and insights, often working with large datasets and requiring strong analytical skills. The role typically involves creating reports, dashboards, and presentations to communicate findings to stakeholders.

What are the most commonly searched types of Business Intelligence Analyst jobs in Texas?

The most popular types of Business Intelligence Analyst jobs in Texas are:

What cities in Texas are hiring for Business Intelligence Analyst jobs?

Cities in Texas with the most Business Intelligence Analyst job openings:

Infographic showing various Business Intelligence Analyst job openings in Texas as of August 2026, with employment types broken down into 100% Full Time. Highlights an 100% In-person job distribution, with an average salary of $93,039 per year, or $44.7 per hour.

Business Intelligence Analyst

Lamons

Houston, TX • On-site

$70 - $95/hr

Other

Re-posted 2 days ago


Job description

Recent graduates are encouraged to apply. Relevant internship, academic project, and hands‑on experience will be considered. This position is fully on‑site at our Houston headquarters. Lamons is conducting this search internally and is not partnering with staffing agencies or accepting unsolicited candidate submissions for this position.

Job Summary

The Business Intelligence Analyst designs, develops, and maintains business intelligence reports, dashboards, and data visualizations that support operational and strategic decision‑making across the organization. This role partners with business leaders to gather reporting requirements, develop SQL‑based data solutions, and deliver accurate, timely analytics through Tableau and other business intelligence tools. The Business Intelligence Analyst also supports reporting enhancements, data integrity, and emerging analytics technologies to improve business performance.

Job Duties and Responsibilities
  • Meet with business leaders and stakeholders to gather, analyze, and document reporting and dashboard requirements.
  • Design, develop, and maintain interactive dashboards, reports, and visualizations using Tableau.
  • Develop SQL queries to retrieve, analyze, and prepare data for reports, dashboards, and business intelligence solutions.
  • Develop and maintain data models to support enterprise reporting, including fact and dimension tables and star schema designs.
  • Validate data accuracy and ensure consistency across reports, dashboards, and source systems.
  • Develop and maintain standardized reports and dashboards that promote consistent reporting across departments.
  • Translate business requirements into scalable reporting solutions that provide meaningful operational and financial insights.
  • Consult with business leaders to understand reporting needs and recommend business intelligence solutions that support operational objectives.
  • Develop executive, operational, and departmental KPI dashboards to support performance monitoring and decision‑making.
  • Partner with cross‑functional teams to identify reporting opportunities and recommend process improvements through business intelligence solutions.
  • Document report specifications, SQL scripts, data definitions, and dashboard functionality.
  • Monitor and maintain existing reports and dashboards, implementing enhancements and resolving data or reporting issues as needed.
  • Support data integration and reporting initiatives involving SQL Server, PostgreSQL, Oracle, or other relational database platforms.
  • Assist with troubleshooting reporting, data, and system‑related issues impacting business intelligence solutions.
  • Support the evaluation and implementation of AI‑enabled reporting, automation, and analytics solutions, including the use of Python, APIs, and emerging AI technologies where applicable.
  • Stay current on business intelligence, analytics, and data visualization best practices and recommend improvements to reporting capabilities.
  • Perform other duties as assigned.
Skills
  • Working knowledge of SQL skills, including joins, Common Table Expressions (CTEs), window functions, stored procedures, and query optimization.
  • Proficiency in Tableau report and dashboard development.
  • Understanding of relational databases and data modeling concepts, including fact and dimension table design.
  • Ability to gather business requirements and translate them into technical reporting solutions.
  • Knowledge of business intelligence concepts, KPI development, and data visualization best practices.
  • Strong analytical, problem‑solving, and critical‑thinking skills.
  • Excellent attention to detail with the ability to validate and ensure data accuracy.
  • Strong written and verbal communication skills with the ability to present technical information to non‑technical stakeholders.
  • Ability to manage multiple projects and priorities while meeting established deadlines.
  • Exposure to Python programming, APIs, and emerging AI technologies is preferred.
Education
  • Required: Bachelor’s degree in Computer Science, Software Engineering, Data Science, Data Analytics, Information Systems, or related field.
  • Recent graduates are encouraged to apply.
  • Preferred: Coursework or certification in Business Intelligence, Data Analytics, Artificial Intelligence, Machine Learning, or Data Visualization.
Work Experience
  • Required: Experience developing reports, dashboards, or data visualization through academic projects, internships, or professional experience.
  • Required: Experience working with relational databases such as Microsoft SQL Server, PostgreSQL, or Oracle.
  • Preferred: Experience gathering business requirements and delivering reporting solutions to business stakeholders.
  • Preferred: Experience supporting manufacturing, industrial, or operations–focused reporting environments.
  • Preferred: Experience with Python, AI‑enabled analytics, Open AI, Azure AI, or similar technologies.
Physical Requirements
  • Prolonged periods of sitting and working at a computer.
  • Must be able to communicate effectively in person, by telephone, and through virtual meeting platforms.
  • Mustbe able to lift up to 15 pounds occasionally.
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