Cizik School of Nursing at UTHealth Houston
Cizik School of Nursing at UTHealth Houston
201 – 500 Darbinieki
Cizik School of Nursing at UTHealth Houston ir 2005. gadā dibināta māsu izglītības iestāde, kas darbojas UTHealth Houston sastāvā. Tās komanda atbalsta skolas mērķi sagatavot māsu aprūpes speciālistus, apvienojot akadēmisko un klīnisko apmācību, tādēļ tā var būt saistoša kandidātiem, kuri interesējas par māsu izglītību un veselības aprūpes speciālistu apmācību.

Remote Analytics Engineer – Healthcare Education

Build reliable data models, pipelines, and dashboards for healthcare education programs. Support institutional reporting, self-service analytics, and data-informed student success.

Apraksts

  • Create and maintain analytics-ready data models for reporting, dashboards, and advanced analysis.
  • Convert data from multiple sources into clean, reliable, well-documented datasets.
  • Turn business needs into technical data models, metrics, and KPIs.
  • Build and maintain semantic layers, shared metric definitions, and supporting documentation.
  • Improve data models for speed, scalability, and ease of maintenance.
  • Help establish analytics engineering standards, tools, and data governance practices.
  • Extract, transform, and load data from varied systems and sources.
  • Develop and maintain automated pipelines, scripts, and ingestion workflows.
  • Work with data engineers on pipelines, schemas, and sound engineering practices.
  • Explore data to uncover trends, patterns, and anomalies.
  • Use statistical, analytical, and modeling methods to produce actionable insights.
  • Create and deliver interactive dashboards and reports.
  • Present insights to both technical and non-technical audiences.
  • Support self-service analytics with dependable datasets and metrics.
  • Test, validate, and monitor data to maintain quality.
  • Investigate and fix data inconsistencies and quality problems.
  • Establish data quality controls that keep analytics accurate and trustworthy.

Prasības

  • Bachelor’s degree in a quantitative discipline, or equivalent hands-on experience.
  • Strong SQL skills and experience with relational data models.
  • Experience using data transformation tools such as dbt or comparable frameworks.
  • Experience converting raw data into clean, dependable, well-documented datasets.
  • Familiarity with modern data warehouses and ELT or ETL pipelines.
  • Sound knowledge of data modeling, metric design, and data quality practices.
  • Experience translating business needs into scalable analytics solutions.
  • Strong analytical judgment, attention to detail, and communication skills.

Priekšrocības

  • Self-directed paid time off.
  • 12 paid holidays.
  • Medical, dental, and vision insurance.
  • Employer-funded short- and long-term disability coverage.
  • 401(k) retirement plan.
  • Professional development opportunities.
  • Continuing education opportunities.
  • Mission-driven work focused on healthcare education and student success.
  • Fully remote work or a hybrid arrangement from the Draper, Utah campus.

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