Technical Communication (Data Visualization) | Arizona State University Campus Immersion

Skills & Competencies

Skills developed through this program

Auto-populatedfrom O*NET via SOC 15-1243.01

Skills

Reading ComprehensionCritical ThinkingProgrammingComplex Problem SolvingSystems AnalysisActive ListeningJudgment and Decision MakingSpeaking

Knowledge

Computers and ElectronicsMathematicsEnglish LanguageDesign

Abilities

Written ComprehensionInformation OrderingOral ComprehensionDeductive ReasoningInductive ReasoningNear VisionOral ExpressionWritten ExpressionCategory FlexibilitySpeech Recognition

Tasks

Develop data warehouse process models, including sourcing, loading, transformation, and extraction.
Verify the structure, accuracy, or quality of warehouse data.
Map data between source systems, data warehouses, and data marts.

Technology

Metadata management softwareDevelopment environment softwareObject or component oriented development softwareData base management system softwareData base user interface and query software

Tools

Computer serversData warehouse appliancesDesktop computersLaptop computersMainframe computersMulti-line telephone systemsPersonal computersStorage servers

Work Values

AchievementWorking ConditionsIndependenceRecognitionSupportRelationships

Career Pathways

Occupations this program prepares you for

Auto-populatedfrom O*NET + BLS

Occupations matched to this program, with median wage, top wage, growth, and openings
SOC	Occupation	Method	Wage	Growth	Openings
Match confidence: medium15-1243.01	Data Warehousing Specialists	title_inference	—	—	—

Program Pathways

Credentials this program stacks toward

No program pathways.

What You'll Learn

Key competencies developed through this program

Auto-populatedfrom NSX Competency Framework

Mastery: proficient (Level 3)(based on Bachelor's Degree)

Data warehouse process models — architect comprehensive end-to-end process models spanning sourcing, transformation, loading, and extraction layers across complex, multi-domain enterprise environments.
Data quality assurance — design and execute advanced validation frameworks that detect structural defects, referential integrity failures, and semantic inconsistencies across the full warehouse scope.
Cross-system data mapping — lead the creation of authoritative mapping specifications integrating heterogeneous source systems, enterprise data warehouses, and subject-area data marts.
Extraction procedure engineering — engineer robust, high-performance data extraction solutions from diverse operational systems, incorporating error handling and incremental load strategies.
Warehouse database architecture — design scalable star and snowflake schemas, partitioning strategies, and indexing plans optimized for analytical query performance in large-scale environments.
Standards governance — develop and enforce enterprise-wide data warehouse design standards covering architectures, models, tooling selection, and database nomenclature.
Troubleshooting leadership — independently diagnose and resolve complex, non-routine data warehouse incidents including performance degradation, data corruption, and pipeline failures.
Advanced programming — write, optimize, and refactor complex ETL programs and stored procedures using current languages and technologies to meet evolving customer and system requirements.
Systems evaluation — assess warehouse platform performance, scalability, and fitness-for-purpose against business objectives, recommending architectural improvements based on evidence.
Critical problem solving — apply deductive and inductive reasoning to resolve ambiguous data integration challenges that span multiple business domains and technology stacks.

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.