University of Pittsburgh Medical Center - Pittsburgh, PA

posted 10 days ago

Full-time - Mid Level
Remote - Pittsburgh, PA
Hospitals

About the position

The Analytics Engineer, Expert position at UPMC is a full-time remote role focused on leading data analytics and visualization projects within the pharmacy sector. The role involves developing departmental dashboards, reviewing work products, and producing professional deliverables for an executive audience. The engineer will also coordinate with technical resources across departments to support analysis, monitoring, investigation, and planning activities.

Responsibilities

  • Manage multiple projects on time and within budget.
  • Enhance culture through analytics.
  • Increase capabilities for full population testing.
  • Meet productivity goals and proactively seek additional tasks.
  • Lead special projects and build collaborative relationships.
  • Review code/visualizations and provide feedback.
  • Train staff on data analytics.
  • Maintain expert-level advice on technical matters.
  • Monitor changes in Data Analytics and Healthcare industries.
  • Assist in evaluating applicants for open positions.
  • Extract and combine data from various sources.
  • Build and improve scripts, automated tasks, and risk metrics.
  • Enhance Data Analytics templates and guidance documents.
  • Validate source data integrity and script analytics.
  • Participate in initiatives to improve data visualization.
  • Develop and approve testing steps for complex analytics.
  • Monitor project work for quality and timeliness.
  • Identify root causes and propose solutions.
  • Review workpapers and finalize deliverables for management.

Requirements

  • Master's degree and 4 years related work experience required OR Bachelor's degree and 4 years related work experience AND professional certification (Epic Willow, Epic Cogito, PGY-2 Pharmacy Informatics Residency) required OR Bachelor's degree and 6 years related work experience required.
  • 4 years of experience in Data/Business Analytics, Data Science, Software Development, Data Warehousing, Business Intelligence, Information Technology/Information Security/Auditing.

Nice-to-haves

  • Experience in Data Analytics, Data Visualization, Data Warehousing, Programming/Software engineering, Statistics, Machine Learning, Business Intelligence, Auditing, Information Technology, Health Care, Database Management, Pharmacy, ETL (Extract, Transfer and Load), SQL.

Benefits

  • Remote flexibility
  • Opportunities for continuous learning and development
  • Collaborative culture
  • Innovative environment
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