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Executive Business Intelligence Jobs (NOW HIRING)

Lamons

Business Intelligence Analyst

Houston, TX · On-site

Develop executive, operational, and departmental KPI dashboards to support performance monitoring ... Stay current on business intelligence, analytics, and data visualization best practices and ...

Vericast

Business Intelligence Engineer

San Antonio, TX · On-site

$46 - $59.75/hr

Business Intelligence & Reporting Solutions (25%) * Design, develop, administer, and support ... Communicate findings and recommendations to operational leaders and executive stakeholders.

4over

Senior Analyst, Business Intelligence

Moonachie, NJ · On-site

$120K - $150K/yr

Design, develop, and maintain enterprise dashboards, KPI scorecards, and automated reporting solutions for Executive Leadership and business stakeholders. * Develop scalable Business Intelligence ...

4over

Senior Analyst, Business Intelligence

Moonachie, NJ · On-site

$120K - $150K/yr

Duties And Responsibilities Enterprise Business Intelligence Design, develop, and maintain enterprise dashboards, KPI scorecards, and automated reporting solutions for Executive Leadership and ...

Vericast

Business Intelligence Engineer

San Antonio, TX · On-site +1

$46 - $59.75/hr

Business Intelligence & Reporting Solutions (25%) * Design, develop, administer, and support ... Communicate findings and recommendations to operational leaders and executive stakeholders.

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How much do executive business intelligence jobs pay per year?

As of Sep 4, 2026, the average yearly pay for executive business intelligence in the United States is $102,522.00, according to ZipRecruiter salary data. Most workers in this role earn between $90,000.00 and $123,500.00 per year, depending on experience, location, and employer.

What is an executive business intelligence professional?

An Executive Business Intelligence (BI) professional is responsible for leveraging data analysis and reporting tools to provide strategic insights that support executive decision-making within an organization. They translate complex data into actionable business recommendations, often working closely with senior leadership to identify opportunities for growth, optimization, and risk mitigation. Their role involves overseeing BI initiatives, ensuring data accuracy, and aligning analytics efforts with organizational goals.

What are some typical challenges faced by executive business intelligence professionals when aligning data strategies with organizational goals?

Executive Business Intelligence professionals often encounter challenges in ensuring that data-driven insights are aligned with the organization's strategic objectives. This involves bridging the gap between complex technical analytics and actionable business decisions, as well as managing stakeholder expectations across various departments. Additionally, they must navigate issues related to data quality, integration from multiple sources, and rapidly changing business priorities, requiring strong communication and adaptability skills. Successfully addressing these challenges enables BI executives to drive meaningful business outcomes and foster a data-centric culture within the organization.

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

To thrive as an Executive Business Intelligence professional, you need strong analytical skills, strategic thinking, and a solid background in data analysis or business administration, often supported by a relevant degree. Expertise in BI tools such as Tableau, Power BI, or SQL, along with experience in data visualization and possibly certifications like CBIP, is typically required. Exceptional communication, leadership, and problem-solving abilities help you translate complex data into actionable insights and drive business decisions. These skills and qualities are vital to effectively inform executive strategy and maintain a competitive advantage through data-driven decision-making.

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

AspectExecutive Business IntelligenceBusiness Intelligence Analyst
CredentialsOften requires advanced degrees (MBA, Data Science), certifications (CFA, CBIP)Bachelor's or master's in data analysis, IT, or related fields
Work EnvironmentStrategic, executive-level meetings, decision-makingData analysis, reporting, and technical tasks
Employer & Industry UsageUsed in corporate leadership, C-suite, strategic planningUsed across departments for data reporting and analysis
Comparison Search IntentUnderstanding strategic role and leadership scopeTechnical skills and daily responsibilities

Executive Business Intelligence professionals focus on strategic decision-making and leadership, often working with C-suite executives. Business Intelligence Analysts handle data analysis, reporting, and technical tasks to support business operations. While both roles involve data, the executive role emphasizes strategy and leadership, whereas the analyst role is more technical and operational.

Is executive business intelligence a high paying job?

Executive Business Intelligence roles typically offer high salaries due to their seniority and the specialized skills required, such as data analysis, strategic planning, and leadership. Compensation varies based on experience, industry, and location, but these positions are generally among the higher-paying roles in the data and analytics field.

Is executive business intelligence still in demand?

Executive Business Intelligence roles remain in demand as organizations increasingly rely on data-driven decision-making. Professionals with skills in data analysis, visualization tools, and strategic insight are sought after across various industries to support leadership and business growth.

What is an executive business intelligence?

An executive business intelligence role involves analyzing and interpreting data to support strategic decision-making at the senior management level. Professionals in this field often use tools like dashboards and data visualization software, and require strong analytical skills and business acumen to provide actionable insights for organizational growth.

What cities are hiring for Executive Business Intelligence jobs?

Cities with the most Executive Business Intelligence job openings:

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

The most popular types of Business Intelligence jobs are:

What states have the most Executive Business Intelligence jobs?

States with the most job openings for Executive Business Intelligence jobs include:

Executive Business Intelligence jobs near you

Business Intelligence Analyst

Lamons (LGC EmployeeCo., LLC)

Houston, TX • On-site

Full-time

Re-posted yesterday

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.
  • Must be able to lift up to 15 pounds occasionally.

Apply