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Business Intelligence Professional Jobs in Rosenberg, TX

Lamons

Business Intelligence Analyst

Houston, TX · On-site

$70 - $95/hr

Job Summary The Business Intelligence Analyst designs, develops, and maintains business ... or professional experience. * Required: Experience working with relational databases such as ...

Qcells

Sr. Manager, Market Intelligence

Houston, TX · Hybrid

... business conglomerates in South Korea. SUMMARY The Senior Manager, Market Intelligence leads the ... professional within a large, multinational, matrixed organization. This position reports to the ...

Qcells

Sr. Manager, Market Intelligence

Houston, TX · On-site

Head of Market Intelligence & Communications FLSA Status: Exempt Position Status: Permanent ... Regular professional, office business setting * Noise level ranges from low to moderate (if in ...

Jobtailor

Senior Specialized BI Analyst

Houston, TX · On-site

$90 - $130/hr

... based, business intelligence deliverables. * Provide domain expertise in clinical, consumer ... Minimum of 5 years professional experience providing similar analytics services for this role to ...

YO AI Labs

Analytics Expert - Remote

Houston, TX · Remote

$30 - $80/hr

Business Intelligence & Analytics Expert Role Type: Contractor Location: Remote Job Overview We are ... Professional experience in BI, analytics, reporting, or data visualization . * Hands-on experience ...

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All JobsBusiness Intelligence Professional JobsBusiness Intelligence Professional Jobs in Rosenberg, TX

Business Intelligence Professional information

See Rosenberg, TX salary details

$26.3K

$102K

$149.5K

How much do business intelligence professional jobs pay per year?

As of Aug 27, 2026, the average yearly pay for business intelligence professional in Rosenberg, TX is $101,952.00, according to ZipRecruiter salary data. Most workers in this role earn between $83,900.00 and $127,200.00 per year, depending on experience, location, and employer.

What is a business intelligence professional?

A Business Intelligence (BI) Professional is a specialist who uses data analysis tools and techniques to help organizations make informed business decisions. They collect, process, and analyze large volumes of data to generate actionable insights, often using dashboards and reports. BI professionals work closely with stakeholders to identify business needs, design data-driven solutions, and improve operational efficiency. Their expertise is crucial in transforming raw data into meaningful information that can drive strategic planning and competitive advantage.

What are the key skills and qualifications needed to thrive as a business intelligence professional, and why are they important?

To thrive as a Business Intelligence Professional, you need strong analytical abilities, data modeling expertise, and proficiency in databases—often supported by a degree in computer science, information systems, or a related field. Familiarity with BI tools like Tableau, Power BI, SQL, and sometimes certifications such as Microsoft Certified: Data Analyst Associate are commonly required. Attention to detail, problem-solving skills, and effective communication are crucial soft skills for translating complex data into actionable insights for stakeholders. These competencies enable informed decision-making and drive business growth by turning raw data into strategic information.

What are some common challenges faced by business intelligence professionals when working with cross-functional teams?

Business Intelligence Professionals often collaborate with stakeholders from various departments such as marketing, finance, and operations. A common challenge is translating complex data insights into actionable recommendations that are easily understood by non-technical team members. Additionally, BI professionals must ensure data consistency and accuracy while managing differing priorities and timelines across teams. Effective communication and a proactive approach to understanding each department’s needs are key to overcoming these challenges and delivering value through data-driven solutions.

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

AspectBusiness Intelligence ProfessionalData Analyst
CredentialsOften requires BI certifications, SQL, and data visualization skillsTypically needs statistical, analytical, and SQL skills, with certifications like CAP or Microsoft certifications
Work EnvironmentWorks with BI tools, dashboards, and data warehouses in corporate settingsAnalyzes data sets, creates reports, and visualizations, often in finance, marketing, or operations
Industry UsageCommonly employed in business intelligence teams across industriesWidely used in various sectors for data-driven decision making

Business Intelligence Professionals focus on designing and managing BI systems, dashboards, and data warehouses, while Data Analysts primarily analyze data sets and generate reports. Both roles require strong analytical skills and familiarity with SQL and data visualization tools, but their core responsibilities differ in scope and focus.

What cities near Rosenberg, TX are hiring for Business Intelligence Professional jobs?

Cities near Rosenberg, TX with the most Business Intelligence Professional job openings:

Business Intelligence Professional jobs near you

Business Intelligence Analyst

Houston, TX • On-site

Lamons
Manufacturing • 1 - 5K employees
Learn more about Lamonsexternal

$70 - $95/hr

Other

Re-posted 22 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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