Systems Analyst - Senior - Pharmacy

UPMC
Pittsburgh, PA, United States
about 1 month ago

Role details

Contract type
Temporary contract
Employment type
Full-time (> 32 hours)
Experience level
Expert
Working hours
Shift work
Job source

Tech stack

Data Analysis Cyber Security Computer Programming Computer Forensics Data Validation Extract Transform Load (ETL) Data Visualization Data Warehousing R (Programming Language) Health Information Technology Statistical Hypothesis Testing Python (Programming Language)
+13 more
Linear Regression Machine Learning Power BI SAS (Software) Software Engineering SQL Databases Tableau (Software) Epic Willow Information Technology Data Analytics Qlikview Custom Reports Programming Languages

Job description

Are you passionate about data analytics and visualization in pharmacy? Do you thrive in a remote work environment and excel at leading high-quality projects? This position helps develop and deploy world-class data analytics for the system antimicrobial stewardship program at UPMC, one of the nation’s leading health systems. The Senior level Systems Analyst is a senior member of a system shared service team comprised of healthcare professionals contributing to UPMC’s strategic initiatives, clinical excellence, and operational targets through data-driven insights. This position offers remote work options to fit individual needs and preferences. We prioritize a strong team collaborative culture. UPMC provides ongoing training, maintenance, monitoring, and promotion of data applications and reports to ensure data is widely known, accessible, and used to its fullest potential.

In this role, you will lead data analytics and visualization projects for antimicrobial stewardship and develop departmental dashboards. Your work will support analysis, monitoring, investigation, and planning activities, and you will produce professional deliverables for an executive audience. You will also lead investigative activities and coordinate with technical resources across departments.

No scheduled evening, weekend, overnight, or holiday coverage is required.

Department Goals:

  • Reporting analytics and data analysis to support antimicrobial stewardship initiatives
  • Ability to pull code and write custom reports (notably PowerBI, Qlik dashboards)
  • 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.
  • Maintain expert-level advice on technical matters.
  • Monitor changes in Data Analytics and Healthcare industries.

Requirements

  • Serve as primary data support for management level leadership of the system antimicrobial stewardship team
  • Analyze and interpret data using statistical modeling software (e.g. R, Python, SAS) and apply statistical methods, analysis, and models (i.e. hypothesis testing, logistic and linear regression, correlation, parametric and non-parametric methods) to detect improvement opportunities.
  • Report/dashboard creation (Tableau, Qlik)

Technology Expertise:

  • Expert in data validation, analysis, and visualization techniques.
  • Proficient in programming languages (ACL, Python, R, SAS, SQL).
  • Understand software development techniques.
  • Distribute technical knowledge and identify training needs.
  • Stay current with new technologies and IT systems.
  • Extract and combine data from various sources.
  • Serve as a subject matter expert and collaborate with peers.
  • Bachelor’s degree and 5 years related work experience OR 2 years of experience and preferred certification or Master’s degree
  • Experience: Data/Business Analytics, Data Science, Software Development, Data Warehousing, Business Intelligence, Information Technology/Information Security/ Auditing, Informatics Pharmacy
  • Degree Preferences: Data Science, Business Analytics, Health Information Technology, Information Technology/Systems, Information Security, Computer Forensics, Computer Science, Pharmacy
  • Experience Preferences: 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.
  • Certification Preferences: Epic Willow, Epic Cogito, PGY-2 Pharmacy Informatics Residency

Licensure, Certifications, and Clearances:

Preferred Licensure:ACBT - Avaya CBTCXADMIN - AVST Cert CX AdminITIL - IT Infrastructure Library

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