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Analytics Engineer
Cizik School of Nursing at UTHealth Houston. Design, build, and maintain analytics-ready data models supporting reporting, dashboards, and advanced analysis .
Posted 10/13/2026full-timeRemote • Utah • United StatesMid-LevelSenior💰 $85,000 - $100,000 per yearWebsite
Core Competencies
Role fitCore Competencies
Use this summary to align your resume positioning with the role.
Demonstrates expertise in designing and maintaining analytics-ready data models, transforming raw data into reliable datasets, and implementing data quality controls. Proficient in SQL and data transformation tools, with strong analytical thinking and communication skills to convey insights effectively.
Highest-signal resume keywords
SQL ExpertiseData Transformation ToolsData ModelingData Quality Best PracticesAnalytical Thinking
ATS Keywords
Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills
Data ModelingSQLData TransformationData Quality ControlExploratory Data AnalysisMetrics DesignKPI DevelopmentAutomated PipelinesData GovernanceStatistical Analysis
Soft Skills
Attention to DetailCommunication Skills
Tools & Technologies
DbtELTETLData Warehouses
Industry Keywords
Analytics EngineeringData GovernanceData QualityReportingDashboards
Tech Stack
Tools & technologiesETLSQL
About the role
Key responsibilities & impact- Design, build, and maintain analytics-ready data models supporting reporting, dashboards, and advanced analysis
- Transform raw data from multiple sources into clean, reliable, well-documented datasets
- Translate business requirements into technical data models, metrics, and KPIs
- Develop and maintain semantic layers, standardized metric definitions, and documentation
- Optimize data models for performance, scalability, and maintainability
- Contribute to analytics engineering standards, tooling, and data governance practices
- Extract, transform, and load data from diverse sources and systems
- Build and maintain automated pipelines, scripts, and data-ingestion workflows
- Partner with data engineers on pipelines, schemas, and best practices
- Perform exploratory data analysis to identify trends, patterns, and anomalies
- Apply statistical, analytical, and modeling techniques to generate actionable insights
- Design and deliver interactive dashboards and reports
- Communicate insights to technical and non-technical audiences
- Enable self-service analytics through trusted datasets and metrics
- Ensure data quality through testing, validation, and monitoring
- Investigate and resolve data discrepancies and quality issues
- Implement data quality controls for accurate and trustworthy analytics
Requirements
What you’ll need- Bachelor’s degree in a quantitative field or equivalent practical experience
- Strong SQL skills and experience working with relational data models
- Experience with data transformation tools, such as dbt or similar frameworks
- Experience transforming raw data into clean, reliable, and well-documented datasets
- Familiarity with modern data warehouses and ELT/ETL pipelines
- Solid understanding of data modeling, metrics design, and data quality best practices
- Experience translating business requirements into scalable analytical solutions
- Strong analytical thinking, attention to detail, and communication skills
Benefits
Comp & perks- Self-directed paid time off
- 12 paid holidays
- Medical, dental, and vision insurance
- Employer-paid short-term and long-term disability coverage
- 401(k) retirement plan
- Professional development opportunities
- Continuing education opportunities
- A mission-driven environment focused on healthcare education and student success
- The flexibility to work fully remote or in a hybrid arrangement from the Draper, Utah campus