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Business Intelligence Developer Jobs in Houston, TX

Lamons

Business Intelligence Analyst

Houston, TX · On-site

Job Summary The Business Intelligence Analyst designs, develops, and maintains business ... Exposure to Python programming, APIs, and emerging AI technologies is preferred. Education

Sulzer AG

Business Intelligence Analyst

Houston, TX

Sulzer is a leading engineering company with a proud heritage of innovation. Join our global team ... About the role Job Summary The Business Intelligence Analyst is responsible for providing data ...

Perry Homes

Business Intelligence Analyst

Houston, TX · On-site

About The Role The Business Intelligence Analyst is responsible for working with business leaders to identify improvements on productivity and profitability, through the usage of data analysis and ...

NAVA Software Solutions

BI Developer

Sugar Land, TX · On-site

BI Developer Location: Houston, TX - 2-3 days a week onsite Duration: Full time / Direct Hire This ... Implement and maintain Business intelligence systems to support the organization's business needs

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Business Intelligence Developer information

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How much do business intelligence developer jobs pay per hour?

As of Aug 9, 2026, the average hourly pay for business intelligence developer in Houston, TX is $51.34, according to ZipRecruiter salary data. Most workers in this role earn between $41.97 and $58.75 per hour, depending on experience, location, and employer.

What is a business intelligence developer?

Business Intelligence Developers are IT professionals who design, develop, and maintain BI solutions that help organizations make data-driven decisions. They create and manage data models, dashboards, and reports using BI tools, and often work with databases to extract, transform, and load data. Their work enables businesses to analyze trends, monitor performance, and gain actionable insights from large volumes of data. BI Developers collaborate closely with business stakeholders and data analysts to ensure the solutions meet organizational needs.

What are some common challenges faced by business intelligence developers when working with large datasets, and how can they be addressed?

Business Intelligence Developers often encounter difficulties when handling large and complex datasets, such as slow query performance, data integration issues, and ensuring data accuracy. To address these challenges, developers typically optimize SQL queries, leverage indexing, and use efficient data modeling techniques. Collaborating closely with data engineers and database administrators can help streamline data pipelines and maintain data quality. Staying updated with the latest BI tools and technologies is also essential for improving overall performance and scalability.

What are the key skills and qualifications needed to thrive as a business intelligence developer?

To thrive as a Business Intelligence Developer, you need strong analytical skills, proficiency in data modeling, and experience with databases, often supported by a degree in computer science, information systems, or a related field. Expertise in BI tools such as Power BI, Tableau, or SQL Server Reporting Services (SSRS), along with knowledge of SQL and ETL processes, is typically required. Strong problem-solving abilities, attention to detail, and effective communication skills set top performers apart in this role. These competencies are crucial for transforming complex data into actionable insights that drive strategic business decisions.

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

AspectBusiness Intelligence DeveloperData Analyst
CredentialsBachelor's in CS, IT, or related field; certifications like Microsoft Certified: Data Analyst AssociateBachelor's in Statistics, Math, or related field; certifications like Microsoft Certified: Data Analyst Associate
Work EnvironmentDevelops BI tools, dashboards, and reports; collaborates with IT and business teamsAnalyzes data sets, creates reports, and provides insights; works closely with business units
Industry UsageUsed across industries for data visualization and reportingUsed across industries for data analysis and decision support

While both roles focus on data, Business Intelligence Developers primarily build and maintain BI tools and dashboards, whereas Data Analysts focus on analyzing data sets to generate insights. Both roles often collaborate and require similar skills and certifications, making them closely related in the data industry.

More about Business Intelligence Developer jobs
What are the most commonly searched types of Business Intelligence Developer jobs in Houston, TX? The most popular types of Business Intelligence Developer jobs in Houston, TX are:
What are popular job titles related to Business Intelligence Developer jobs in Houston, TX? For Business Intelligence Developer jobs in Houston, TX, the most frequently searched job titles are:
What job categories do people searching Business Intelligence Developer jobs in Houston, TX look for? The top searched job categories for Business Intelligence Developer jobs in Houston, TX are:
What cities near Houston, TX are hiring for Business Intelligence Developer jobs? Cities near Houston, TX with the most Business Intelligence Developer job openings:
Business Intelligence Developer jobs near you
Infographic showing various Business Intelligence Developer job openings in Houston, TX as of August 2026, with employment types broken down into 86% Full Time, and 14% Contract. Highlights an 79% In-person, and 21% Remote job distribution, with an average salary of $106,794 per year, or $51.3 per hour.

Business Intelligence Developer

IS International Services

Houston, TX

Full-time

Re-posted 8 days ago

Job description

Position Summary

We are seeking a Business Intelligence Developer to support our Warranty and Operations organization by designing data-driven solutions that improve operational performance, warranty analytics, financial visibility, and continuous improvement initiatives.

This role partners closely with Warranty, Engineering, Finance, Quality, Supply Chain, Product Management, and Customer Support teams to build reporting solutions, automate business processes, and develop dashboards that drive data-informed decision making.

The ideal candidate enjoys solving business problems through data visualization, automation, and analytics while supporting operational excellence across the organization.

Key Responsibilities

Business Intelligence & Reporting

  • Design and develop Power BI dashboards that provide visibility into warranty performance, operational KPIs, claims metrics, financial reporting, project status, and executive scorecards.
  • Create interactive reports that monitor warranty trends, SLA performance, product reliability, claim resolution, customer metrics, and operational efficiency.
  • Build executive dashboards supporting KPI tracking, OKRs, SMART goals, and continuous improvement initiatives.
  • Develop reusable reporting frameworks that reduce manual reporting and improve decision-making.

Data Analytics

  • Analyze warranty claims, operational performance, engineering data, and financial metrics to identify trends and recommend business improvements.
  • Develop SQL queries, ETL processes, and automated datasets for enterprise reporting.
  • Prepare datasets used for Root Cause Analysis (RCA), product quality improvements, and warranty optimization.
  • Perform ad hoc analysis supporting Finance, Engineering, Product Management, and Executive Leadership.

Process Automation

  • Design Power Apps solutions that streamline warranty operations and internal business workflows.
  • Automate reporting processes using Microsoft Excel, VBA, Power Query, Power Automate, and SmartDocs.
  • Improve business processes through workflow automation and standardized reporting.
  • Manage SharePoint sites, document libraries, workflow tools, and operational databases.

Cross Functional Collaboration

  • Partner with Engineering, Finance, Supply Chain, Product Management, Customer Support, Quality, and Operations teams to translate business requirements into reporting solutions.
  • Support cross-functional initiatives involving KPI development, performance tracking, process optimization, and operational excellence.
  • Present dashboards and business insights to leadership teams and key stakeholders.
  • Assist with data governance, reporting standards, and dashboard best practices.

Requirements

Required Qualifications

  • Bachelor's degree in Business Analytics, Information Systems, Engineering, Computer Science, or related discipline.
  • 3+ years of experience in Business Intelligence, Data Analytics, Reporting, or Operations Analytics.
  • Advanced Power BI dashboard development.
  • Strong SQL development experience.
  • Experience with Microsoft Excel including Power Query, Pivot Tables, advanced formulas, and VBA/Macros.
  • Experience developing Power Apps solutions.
  • Experience with Tableau and/or Alteryx.
  • Experience working with large datasets and enterprise reporting.
  • Strong understanding of KPI development and operational performance metrics.
  • Excellent analytical and problem-solving skills.
  • Experience collaborating across Finance, Engineering, Operations, and Product organizations.

Preferred Qualifications

  • Experience supporting Warranty Operations.
  • Experience working with Claims Management systems.
  • Knowledge of CRM or ERP systems.
  • Experience building ETL pipelines.
  • Azure Data Factory, Databricks, or cloud analytics experience.
  • Python for data analysis and automation.
  • Familiarity with Root Cause Analysis (RCA) methodologies.
  • Experience supporting continuous improvement initiatives.
  • Experience with AI-assisted reporting or automation.

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