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My LER
My LER
  1. Programs
  3. Business and Technology

Business and Technology

Iowa State University

Doctoral DegreeAcademic

Become a contributor for free to openly demonstrate student outcomes, industry alignment & eligibility criteria.

No description available.

Format

In-Person

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Program Pathways

Credentials this program stacks toward

No program pathways.

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Program Details

Detailed information about this program

No detailed information available.

Requirements

What you need to earn this credential

No requirements listed.

Financial Aid

Eligible funding programs

No funding information available.

Scholarships

No scholarships listed.

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Locations

Where this program is offered

  • Iowa

    Iowa

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Related Programs

Programs related to this one

No related programs.

Skills & Competencies

Skills developed through this program

Auto-populated·from O*NET via SOC 15-2051.01

Skills

Reading ComprehensionActive LearningActive ListeningCritical ThinkingSpeakingWritingJudgment and Decision MakingMathematics

Knowledge

Computers and ElectronicsMathematicsEnglish LanguageAdministration and ManagementCustomer and Personal Service

Abilities

Oral ComprehensionWritten ComprehensionOral ExpressionWritten ExpressionInductive ReasoningDeductive ReasoningInformation OrderingCategory FlexibilityMathematical ReasoningSpeech Clarity

Tasks

  • Generate standard or custom reports summarizing business, financial, or economic data for review by
  • Maintain or update business intelligence tools, databases, dashboards, systems, or methods.
  • Manage timely flow of business intelligence information to users.

Technology

Data base reporting softwareDocument management softwareDevelopment environment softwareWeb page creation and editing softwareObject or component oriented development software

Tools

Computer serversData warehouse appliancesLaser facsimile machinesPhotocopiersScannersStorage servers

Work Values

AchievementWorking ConditionsRecognitionSupportIndependenceRelationships
Career Pathways

Occupations this program prepares you for

Auto-populated·from O*NET + BLS
Occupations matched to this program, with median wage, top wage, growth, and openings
SOCOccupationMethodWageGrowthOpenings
Match confidence: medium15-2051.01Business Intelligence Analyststitle_inference———
What You'll Learn

Key competencies developed through this program

Auto-populated·from NSX Competency Framework

Mastery: advanced (Level 4)(based on Doctoral Degree)

  • Organizational BI strategy and roadmap — define and lead, aligning analytics capabilities, tooling investments, and talent development with enterprise business objectives at the executive level.
  • BI frameworks, methodologies, and governance standards — establish organization-wide, setting the principles and practices that guide all business intelligence design, delivery, and data quality assurance.
  • Analytical talent and BI teams — develop and mentor, applying instructing and learning strategy expertise to build a high-performing analytics function across multiple career levels.
  • Enterprise intelligence architecture — architect at scale, overseeing the integration of database management systems, portal servers, and BI platforms into a cohesive and scalable data environment.
  • Strategic business decisions — inform at the executive level by delivering synthesized competitive, economic, and operational intelligence that shapes organizational direction and resource allocation.
  • Cross-functional and cross-industry partnerships — lead by coordinating BI initiatives with technology, finance, operations, and external stakeholders to generate integrated insights across organizational boundaries.
  • Emerging BI technologies and active learning practices — champion organization-wide adoption of, evaluating new tools and methodologies and guiding teams through capability transitions with minimal disruption.
  • Complex, enterprise-wide analytical problems — resolve by applying advanced systems evaluation and mathematical reasoning, setting methodological precedent that elevates the organization's analytical maturity.
  • BI performance and business impact — evaluate at the portfolio level, using systems evaluation techniques to measure ROI on analytics investments and reallocate resources toward highest-value initiatives.
  • Organizational culture of data-driven decision-making — cultivate by modeling intellectual curiosity, integrity in data interpretation, and achievement orientation across all levels of the enterprise.

Some details on this page are auto-populated from public workforce data sources: O*NET (opens in new tab), BLS (opens in new tab), College Scorecard (opens in new tab), DOL Training Provider Results (opens in new tab), NSX (opens in new tab). Provided in partnership with LER.me Career Intelligence.

Student Outcomes

Performance metrics for this program

Completion Rate
Not reported
Placement Rate
Not reported