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Intelligence Manager Jobs in Texas (NOW HIRING)

Huntsman

Global Market Intelligence Lead

Houston, TX · On-site

This position will report to the Market Intelligence Commodities Manager. Job Scope The Global Market Intelligence Lead is responsible for developing and delivering actionable global market and ...

Esolvit Inc

Business Intelligence

Austin, TX · On-site

... management disciplines, and business metrics. ESolvit helps customers to do business better ... Intelligence in Healthcare domain with strong skills SAP,ETL,Data warehouse/Data Analyst. Please ...

Electrolit

Business Intelligence Leader

Houston, TX · On-site

$90 - $120/hr

Ability to manage multiple priorities while maintaining focus and sense of urgency toward task completion Qualifications * 5-7 years of experience in business intelligence or data analytics roles.

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Intelligence Manager information

See Texas salary details

$10.2K

$93.7K

$123.9K

How much do intelligence manager jobs pay per year?

As of Sep 6, 2026, the average yearly pay for intelligence manager in Texas is $93,700.00, according to ZipRecruiter salary data. Most workers in this role earn between $68,500.00 and $123,400.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as an intelligence manager?

To excel as an Intelligence Manager, you need expertise in data analysis, strategic planning, and risk assessment, often supported by a background in intelligence, security studies, or a related field. Familiarity with analytical software, intelligence databases, and security clearance procedures is typically required. Strong leadership, critical thinking, and effective communication skills are crucial for managing teams and conveying complex findings to stakeholders. These skills ensure the effective collection and interpretation of intelligence to support organizational decision-making and security.

How does an intelligence manager typically collaborate with other departments or agencies within an organization?

Intelligence Managers regularly work cross-functionally, partnering with security, legal, operations, and executive teams to ensure actionable intelligence is shared efficiently. They coordinate briefings, manage information flow, and often serve as a liaison between internal stakeholders and external partners such as law enforcement or government agencies. Effective collaboration is crucial for timely threat assessment and strategic decision-making. Building strong relationships and clear communication channels is a key part of the role.

What is the difference between Intelligence Manager vs Intelligence Analyst?

AspectIntelligence ManagerIntelligence Analyst
Required CredentialsBachelor's or higher in Security, Intelligence, or related fields; often leadership experienceBachelor's degree in Criminal Justice, Security Studies, or related fields
Work EnvironmentOversees teams, manages projects, strategic planningConducts research, analyzes data, prepares reports
Employer & Industry UsageGovernment agencies, military, private security firmsLaw enforcement, intelligence agencies, corporate security
Common Search & ComparisonLeadership, management, strategic rolesData analysis, research, reporting roles

The main difference between an Intelligence Manager and an Intelligence Analyst lies in their responsibilities. The Intelligence Manager oversees teams, manages projects, and develops strategic plans, while the Intelligence Analyst focuses on researching, analyzing data, and preparing reports. Both roles require relevant credentials and are vital in security and intelligence sectors, but the Manager holds a leadership position with broader oversight.

Do intelligence manager jobs pay well?

Intelligence managers typically earn above-average salaries, with pay varying based on experience, industry, and location. They often hold security clearances and require strong analytical skills, which can contribute to higher compensation levels.

What does an intelligence manager do?

An intelligence manager oversees the collection, analysis, and dissemination of information to support organizational decision-making and strategic planning. They coordinate intelligence activities, manage teams of analysts, and often utilize tools like data analysis software to identify threats or opportunities. Strong analytical skills, security clearances, and experience in intelligence operations are typically required.

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

The most popular types of Intelligence jobs in Texas are:

What cities in Texas are hiring for Intelligence Manager jobs?

Cities in Texas with the most Intelligence Manager job openings:

Intelligence Manager jobs near you
Infographic showing various Intelligence Manager job openings in Texas as of August 2026, with employment types broken down into 86% Full Time, 11% Part Time, 2% Contract, and 1% Nights. Highlights an 79% Physical, 3% Hybrid, and 18% Remote job distribution, with an average salary of $93,700 per year, or $45 per hour.

Manager, Business Intelligence & Analytics

Southwest Convenience Stores LLC

Farmers Branch, TX • On-site

Full-time

Posted 22 days ago

Key responsibilities

  • Lead, coach, develop, and grow the Business Intelligence and Analytics team.

  • Partner with leaders across various functions to identify opportunities for performance improvement and develop enterprise KPI frameworks and reporting standards.

  • Lead the design, development, and optimization of enterprise reporting, dashboards, and analytics solutions.

Job description


OXXO USA is redefining the convenience store experience across the United States through customer-centric service, operational excellence, and data-driven growth. As part of FEMSA’s global retail platform, we are expanding rapidly and investing in analytics, innovation, and strategic decision-making to fuel long-term value creation.

We’re looking for a Manager, Business Intelligence & Analytics, to lead and develop a team of analytics professionals responsible for transforming complex business data into actionable insights that drive performance across our stores, operations, and support functions.

JOB SUMMARY 

The Manager, Business Intelligence & Analytics is responsible for leading a team of Business Intelligence Analysts who support data-driven decision-making across OXXO USA. This role partners with functional leaders to understand priorities, guide analytical work, and ensure the team delivers accurate, timely, and actionable insights that improve business performance.

The ideal candidate brings strong business acumen, people leadership, analytical expertise, and communication skills. This role is expected to coach and develop the Business Intelligence team, build trusted partnerships across the organization, and help strengthen OXXO’s analytics capabilities as the business continues to grow.


Essential Responsibilities

Leadership & Team Development

  • Lead, coach, develop, and grow the Business Intelligence and Analytics team.
  • Establish team priorities, performance expectations, and professional development plans.
  • Promote a culture of accountability, continuous improvement, and data-driven decision-making.
  • Mentor analysts in technical skills, business acumen, and stakeholder engagement.

 

Business Partnership & Strategy

  • Partner with leaders across Fuel, Merchandise, Operations, Finance, Accounting, and HR to identify opportunities for performance improvement and profitability growth.
  • Serve as a trusted advisor and thought partner by transforming data into actionable business insights.
  • Collaborate with stakeholders to define, develop, and maintain enterprise KPI frameworks and reporting standards.
  • Recommend strategies and initiatives based on analytical findings, market trends, and business performance.

Analytics & Reporting

  • Lead the design, development, and optimization of enterprise reporting, dashboards, and analytics solutions.
  • Translate large and complex datasets into meaningful insights and actionable recommendations.
  • Deliver analysis that connects operational performance to financial outcomes.
  • Support executive and operational leadership with recurring and ad hoc reporting needs.
  • Ensure accuracy, consistency, and integrity of key business metrics.

 

Forecasting & Financial Analysis

  • Develop forecasting models that account for seasonality, market conditions, and changing business dynamics.
  • Support budgeting, planning, and performance management processes.
  • Analyze inventory performance and its impact on profitability, cash flow, and financial results.
  • Evaluate business initiatives, capital investments, and operational performance through financial and analytical modeling.
  • Partner with Finance and operational leaders to improve forecasting accuracy and business planning effectiveness.
  • Develop forecasting models for highly seasonal business environment.
  • Strong understanding of seasonality and demand forecasting concepts.
  • Demonstrated ability to synthesize large, complex datasets into actionable business strategies.
  • Strong understanding of inventory management and its impact on financial performance.


Data Management & Governance

  • Promote best practices in data management, analytics development, and reporting governance.
  • Collaborate with technology and business teams to improve data quality and accessibility.
  • Support the evolution of data architecture, data warehousing, and enterprise analytics capabilities.


Required Qualifications

  • Bachelor’s degree in Business, Economics, Mathematics, Statistics, Finance, Data Analytics, Information Systems, Computer Science, or a related field.
  • 5+ years of experience in business intelligence, analytics, data analysis, reporting, finance analytics, operations analytics, or a similar analytical discipline.
  • 2+ years of experience leading, supervising, coaching, and mentoring analysts or analytical project teams.
  • Proven ability to guide the analysis of large, complex datasets and develop analytical and financial models that support business decision-making.
  • Advanced Excel skills, including complex modeling, data analysis, and reporting.
  • Proficiency with modern BI, data visualization, and data warehousing technologies such as SQL, Snowflake, Power BI, Tableau, Qlik, or similar platforms.
  • Demonstrated success designing, managing, or delivering dashboards, reports, scorecards, and scalable analytical solutions for business stakeholders.
  • Strong understanding of data mining, data integration, reporting automation, and migration practices within a complex business environment.
  • Strong analytical and problem-solving capabilities, with the ability to navigate ambiguity and translate complex business challenges into actionable insights.
  • Excellent written and verbal communication skills, including the ability to present findings, recommendations, and business impacts to technical and non-technical audiences.
  • Ability to manage multiple priorities, projects, and stakeholder requests in a fast-paced business environment.
  • Ability to train, coach, and support analysts and end users in the adoption of reporting, analytics, and self-service BI tools.
  • Advanced knowledge of data structures.


Preferred Qualifications

  • Experience within the convenience store, fuel retail, or energy distribution industry.
  • Expertise in fuel supply, fuel pricing, and fuel economics.
  • Working knowledge of SAP or other enterprise financial ERP systems.
  • Understanding of retail margin development and category performance management.
  • Knowledge of data governance, data warehousing, and analytics best practices.
  • Experience partnering across Operations, Fuels, Marketing, Loyalty, Accounting, Finance, and HR functions.
  • Experience applying predictive analytics and data science methodologies to business forecasting and performance improvement.
  • Advanced knowledge of PDI systems.


What Success Looks Like in This Role

  • Business Intelligence team is aligned, supported, and delivering high-quality analytical work.
  • Business leaders rely on the team’s dashboards, reports, and insights to make informed decisions.
  • Analytical models, scorecards, and dashboards are trusted, accurate, scalable, and widely used.
  • Complex business problems are translated into clear, data-backed recommendations.
  • Stakeholders receive timely insights that support store performance, operational excellence, and growth.
  • Reporting standards, data definitions, and best practices are consistent across the team.
  • Newly acquired stores are supported with reliable reporting and performance visibility.
  • Analytics capabilities continue to mature through coaching, collaboration, and process improvement.