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Associate Business Intelligence Analyst Jobs in Texas

Bachelor's degree in Business, Economics, Marketing, Mathematics, Engineering, Finance, Data Analytics, or a related field. * 8+ years of experience in market intelligence, business analytics ...

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Associate Business Intelligence Analyst information

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$10

$30

$47

How much do associate business intelligence analyst jobs pay per hour?

As of Sep 4, 2026, the average hourly pay for associate business intelligence analyst in Texas is $30.12, according to ZipRecruiter salary data. Most workers in this role earn between $23.75 and $35.82 per hour, depending on experience, location, and employer.

What does an associate business intelligence analyst do?

An Associate Business Intelligence Analyst supports data-driven decision making within an organization by collecting, analyzing, and presenting data. They use various tools and software to create reports, dashboards, and visualizations that help identify trends, measure performance, and provide actionable insights. Typically, they work closely with business teams to understand their data needs and assist in optimizing processes based on analytical findings. This role is often entry-level or early-career, providing foundational experience in business analytics and intelligence. Strong communication and technical skills are essential for success in this position.

What are the key skills and qualifications needed to thrive as an associate business intelligence analyst?

To thrive as an Associate Business Intelligence Analyst, you need a solid foundation in data analysis, statistical methods, and business acumen, typically supported by a degree in business, statistics, or a related field. Familiarity with BI tools like Tableau, Power BI, SQL, and sometimes introductory experience with Python or R is highly valuable, as are relevant certifications. Strong communication, problem-solving, and attention to detail help translate data insights into actionable business recommendations. These skills ensure the analyst can effectively support decision-making and contribute to organizational growth through data-driven insights.

What are typical projects an associate business intelligence analyst might work on in their first year?

In your first year as an Associate Business Intelligence Analyst, you’ll likely be involved in projects such as building dashboards, conducting data validation, and assisting in the preparation of regular business reports. You may work closely with senior analysts and business teams to gather requirements, clean and analyze data, and present findings that help drive business decisions. These projects offer a strong foundation in both the technical and business aspects of BI, and provide valuable exposure to the company’s data infrastructure and analytics tools.

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

AspectAssociate Business Intelligence AnalystBusiness Intelligence Analyst
Required CredentialsBachelor's degree in IT, Data Science, or related field; basic knowledge of SQL and data visualization toolsBachelor's or master's degree; stronger proficiency in SQL, data modeling, and analytics tools
Work EnvironmentEntry-level role, often in team settings, supporting data analysis tasksMore independent, responsible for designing reports, analyzing data, and providing insights
Employer & Industry UsageCommon in tech, finance, healthcare, and retail sectorsWidely used across similar industries, often with more complex projects

The main difference between an Associate Business Intelligence Analyst and a Business Intelligence Analyst lies in experience and responsibility. The associate role is typically entry-level, focusing on supporting data tasks, while the analyst role involves more independent analysis and decision-making. Both roles require similar educational backgrounds and technical skills, but the analyst position demands greater expertise and project ownership.

How much does an associate business intelligence analyst get paid?

An associate business intelligence analyst typically earns a salary ranging from $55,000 to $75,000 annually, depending on experience, location, and industry. Entry-level roles may start lower, while those with specialized skills in data analysis tools like SQL or Tableau can earn higher compensation.

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 Associate Business Intelligence Analyst jobs?

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

Infographic showing various Associate Business Intelligence Analyst job openings in Texas as of August 2026, with employment types broken down into 86% Full Time, 12% Part Time, and 2% Contract. Highlights an 89% Physical, 3% Hybrid, and 8% Remote job distribution, with an average salary of $62,644 per year, or $30.1 per hour.

Business Intelligence Analyst Specialist 1732

Sistema Technologies Inc.

Austin, TX • On-site

$110 - $165/hr

Other

This job post has expired 3 days ago. Applications are no longer accepted.


Job description

Business Intelligence Analyst Specialist 1732
  • Austin, TX

Austin, TX Business Intelligence Analyst Specialist - Solicitation# 529701732 Texas Health and Human Services Commission (HHSC)

Level Description 10 or more years of experience, relies on experience and judgment to plan and accomplish goals, independently performs a variety of complicated tasks, a wide degree of creativity and latitude is expected.

Job Description 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.

Additional job details and special considerations 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 continuing to develop an HHS data integration hub under the Performance Management & Analytics System (PMAS).

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

As a lead and member of the agile development team, the worker responsibilities may include:

Overview

The Worker will serve as a technical lead and a critical liaison between technical IT and non-technical program staff working with complex 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
  • Strategic Liaison and Translation
    • Work with program areas and project sponsor to gather business requirements and translate into technical specifications.
    • Lead as technical project manager creating hybrid Agile sprint cycles, epics and stories, as well as Waterfall project plans and all project artifacts
    • Act as the primary point of contact for program staff with data needs for federal, state, and internal reporting.
    • Translate complex data requests and operational requirements into clear, actionable queries for AI against complex analytics data sources.
    • Explain technical findings and data limitations in simple, non-technical language to end-users.
  • AI Prompting and Data Synthesis
    • Develop and refine effective AI prompts and query strategies to retrieve and synthesize data accurately from complex datasets.
    • Guide non-technical users in crafting precise prompts to get the data they need, ensuring fidelity and accuracy.
    • Develop a library of standardized prompts and query templates for common reporting needs.
  • Data Reporting and Visualization
    • Extract, integrate, and analyze data from multiple complex internal and external sources to support HHS program needs.
    • 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.
    • Provide subject matter expertise on validating output from AI, particularly with respect to identifying and mitigating hallucinations.
    • Ensure all data outputs adhere to agency reporting standards, data governance, and compliance regulations.
  • Data Literacy and Training
    • Champion data literacy across the organization by developing and conducting AI training sessions for non-technical staff.
    • Create clear, comprehensive documentation and tutorials on using AI tools for data synthesis.
    • Promote a data-driven culture by enabling and empowering all employees to effectively utilize data and AI.
  • Collaboration and Problem-Solving
    • Work closely with data engineering, IT, and Program teams to troubleshoot data-related issues and address inconsistencies and mitigation strategies.
    • Provide expert guidance to program staff on interpreting data trends and answering complex data questions.
    • Stay up to date on new AI and data analytics tools and techniques to continuously improve data access, data quality and reporting.

The position is ONSITE at the location listed above (NO REMOTE WORK). The program will only accept LOCAL ONLY candidates for this position.

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.

Actual

Years

Experience Years

Experience

Needed

Required/

Preferred Skills/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 leading as a technical project manager creating hybrid Agile sprint cycles, epics and stories, as well as Waterfall project plans and project artifacts
  • 5 Preferred Experience with Business Intelligence/Data Warehouse
  • 5 Preferred Experience acting as the primary point of contact for program staff with data needs for federal, state, and internal reporting.
  • 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.

I need Three References

Reference Name ( Required ): Title (Optional) Company Name ( Required ): Phone Number ( Required include area code): E-mail address (Optional): Professional Relationship (Optional):

Peer Co-Worker Supervisor

Customer End-User Subordinate

Reference Name ( Required ): Title (Optional) Company Name ( Required ): Phone Number ( Required include area code): E-mail address (Optional): Professional Relationship (Optional):

Peer Co-Worker Supervisor

Customer End-User Subordinate

Reference Name ( Required ): Title (Optional) Company Name ( Required ): Phone Number ( Required include area code): E-mail address (Optional): Professional Relationship (Optional):

Peer Co-Worker Supervisor

Customer End-User Subordinate

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