Medication & Pharmacy Data Analytics Specialist

Location : Chicago, Illinois Business Unit : Rush Medical Center Hospital : Rush University Medical Center Department : System Pharmacy Work Type : Full Time (Total FTE between 0. 9 and 1. 0) Shift : Shift 1 Work Schedule : 8 Hr (8 : 00 : 00 AM - 5 : 00 : 00 PM) Rush offers exceptional rewards and benefits learn more at our Rush benefits page (). Pay Range : $41.88 - $70.36 per hour Rush salaries are determined by many factors including, but not limited to, education, job-related experience and skills, as well as internal equity and industry specific market data. The pay range for each role reflects Rush's anticipated wage or salary reasonably expected to be offered for the position. Offers may vary depending on the circumstances of each case. Summary : The Medication and Pharmacy Data Analytics Specialist serves as the liaison between pharmacy operations, pharmacy informatics, system knowledge management teams to inform, design, build, and analyze the prioritization and strategic growth of the RUSH pharmacy enterprise. The role is responsible for designing, managing, and analyzing healthcare data systems with a focus on medication use processes, clinical workflows, and patient care. Th technical skills of this role exist in data engineering and informatics to support healthcare organizations in delivering efficient, safe, and data-driven enterprise pharmacy services. Exemplifies the Rush mission, vision and values and acts in accordance with Rush policies and procedures. Responsibilities : Collaborative Problem Solving Produces deliverables for leadership and communicates with all levels of stakeholders. Collaborate with healthcare providers to implement and refine workflows that incorporate pharmaceutical data. Pharmacy Informatics Continuous improvement of pharmacy-related IT systems, including medication dispensing software, inventory management tools, and automated dispensing technologies. Leverage data to improve medication safety, reduce errors, and enhance clinical decision-making. Data Management and Integration Gather business and data requirements from stakeholders. Captures, develops, and documents data definitions, business rules, and data quality requirements. Design and maintain databases that store pharmaceutical, clinical, and operational data (e.g., medication records, patient outcomes, drug interactions). Integrate data from various sources such as electronic health records (EHRs), pharmacy management systems, and clinical decision support tools to optimize and automate decision making. Data Analysis and Reporting Conducts data analysis in support of a variety of analytic solutions. Create and produce forecasts, reports, ad hoc requests, dashboards, etc. Interprets data, analyzes results, create visualizations, and provides insights to determine operational impact, trends, and opportunities to communicate insights to pharmacists, clinicians, and leadership. Produces reports and analytics that facilitate evidence-based clinical, financial, and operational decisions. Systems Development and Automation Identifies and defines both process and data improvements. Build and maintain systems to process, integrate, and transform data into robust analytics. Create algorithms or models to predict medication utilization. Work with software developers to integrate data solutions into existing healthcare platforms. Stakeholder, Regulatory and Clinical Support Ensures compliance with deliverable reporting requirements by performing quality data audits and analysis. Ensure data accuracy, security, and compliance with regulations. Provide expertise on drug-related data to support clinical trials, population health management, or precision medicine initiatives. Required Job Qualifications : Education : Bachelor's degree in information science, computer science or related field. Experience : 3 years of data analysis, query design, and reporting experience. Experience with test reporting solutions in house reporting solutions, i.e. Tableau, MS SQL Server and Oracle. Experience with reports, dashboards, scorecards using Microsoft SSRS, SSAS, and MDX in a data warehousing environment. Strong analytical, multi-tasking and problem-solving skills. Demonstrated experience in requirements gathering and using relational databases. Ability to perform detailed data analysis (i.e. determine the structure, content, and quality of the data through examination of source systems and data samples). Good visual aesthetic sense relative to report development and presentation to the user. Excellent written and verbal communication, facilitation, and customer facing skills Must have a strong customer service orientation and excellent organizational skills. Preferred Job Qualifications : Experience : Demonstrated pharmacy experience; Proven experience with data engineering tools and healthcare IT systems (e.g., EHRs like Epic or Cerner). Specialized certification(s) : Epic Revenue Data Model, Epic Clinical Data Model Certification, Epic Clarity Data Model Certification, Epic Caboodle (Data Warehouse) Data Model Certification, Epic Cogito Certification, Epic Willow Ambulatory Certification, Epic Willow Inpatient Certification. Microsoft SQL Server, Oracle, T-SQL; PL / SQL. Familiarity with ERP information systems. Familiarity with EMR information systems. Rush is an equal opportunity employer. We evaluate qualified applicants without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, veteran status, and other legally protected characteristics.