AI Data Specialist | Waukesha County Technical College

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: developing (Level 2)(based on Associate's Degree)

Data warehouse process models — design and refine ETL process flows covering sourcing, transformation, and loading with reduced oversight in an enterprise data environment.
Warehouse data quality — conduct systematic accuracy and structural audits using query tools and profiling software, resolving common anomalies independently.
Data mapping specifications — produce and validate end-to-end field mapping documents between source systems, data warehouses, and data marts for routine integration projects.
Data extraction procedures — develop and implement extraction routines from billing, claims, or administrative systems using current ETL platforms in a multi-source environment.
Warehouse database structures — design and deploy normalized and dimensional database schemas to meet defined business requirements in a managed data warehouse setting.
Warehouse standards maintenance — update and enforce data architecture naming conventions, model standards, and tooling guidelines across assigned warehouse components.
Troubleshooting coordination — diagnose and resolve moderate data warehouse failures by analyzing logs, tracing data flows, and coordinating fixes with application teams.
Program development — write and test new ETL programs or reporting scripts using object-oriented or procedural languages to satisfy defined customer requirements.
Systems analysis — evaluate source system data structures and integration points to identify compatibility issues before warehouse load cycles begin.
Stakeholder communication — explain data warehouse processes and integration decisions clearly to business analysts and project managers in cross-functional meetings.

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.