Temple University's School of Medicine is searching for a Clinical Data Analyst!
Salary Range: $65,000 - $75,000
A variety of important factors are reviewed by HR when considering salary, including job duties, the applicant's education and experience, all relevant internal equity considerations, department budget, and funding source.
Become a part of the Temple family and you will have access to the following:
Full medical, dental, vision coverage
Paid time off
9 Federally Observed Paid Holidays
3 Personal Days
Tuition remission - eligible employees and their dependents can obtain a degree TUITION FREE
A generous retirement plan and so much more!
Position Summary:
The Clinical Data Analyst works with the HSII and Center for Biostatistics and Epidemiology teams, to analyze data to determine met and unmet outcomes; identify relevant trends and convey feedback to front-line providers as part of the PCORI Health System Implementation Initiative (HSII) which was created to build project capacity, as well as aid the Center for Biostatics and Epidemiology. The Analyst administers real-time maintenance of the data infrastructure and tools to ensure uninterrupted services mapping our relevant key performance indicators directly from Temple Health and Temple University data. The primary focus encompasses the collection, analysis, and interpretation of diverse data that will best optimize implementation strategies and approaches for capacity-building services. The analyst will create dashboards for front-end users in Microsoft Power BI for data visualization and work closely with staff Statisticians
Job Details:
* This is a grant funded position
* This position requires the following background checks: criminal history review
Required Education and Experience:
* Bachelor's Degree in Data Management, Information Systems, or a related field and at least one year of directly related healthcare data management experience. An equivalent combination of education and experience may be considered.
Required Skills and Abilities:
* Proficiency in database management software and tools
* Knowledge of SQL, Python, Tableau, and Power BI
* Strong analytical skills with the ability to collect, organize, analyze, and disseminate information with attention to detail and accuracy.
* Demonstrated computer skills, and proficiency with Microsoft Office software programs, including MS Word and advanced MS Excel functions.
* Strong communication and interpersonal skills, along with the ability to interact with a diverse constituent population.
* Ability to work independently and as part of a team environment.
* Demonstrated organizational skills, along with the ability to meet deadlines, process large amounts of information, and prioritize workloads
Essential Duties:
* Data extraction from Electronic Medical record systems (EPIC)
* Gather raw data from various internal and external sources to provide a foundation for analysis
* Liaise with team members to ensure accurate data collection and storage
* Identify, correct, or remove any corrupted, incomplete, or inaccurately entered data.
* Standardize data formats across different datasets.
* Conduct basic statistical analyses to understand data trends and patterns.
* Use statistical tools and software to interpret data sets, paying particular attention to trends and patterns that could be valuable for diagnostic and predictive analytics efforts.
* Design and create data visualizations using tools like Power BI, or Excel to effectively represent data in charts, graphs, and dashboards.
* Work with team members to determine the most effective ways to visually represent data insights.
* Modify and adjust visualizations based on feedback and requirements.
* Assist in creating regular reports based on collected and analyzed data.
* Provide support in the interpretation of data reports and visualizations for non-technical team members.
* Work closely with other departments (like marketing, finance, or operations) to support new Temple Health projects.
* Participate in team meetings, sharing insights, and findings from data analyses.
* Ensure databases are accessible, consistent, and secure. Assist in the maintenance of databases, ensuring that data storage practices are efficient and adhere to best practices.
Quality Assurance:
* Monitor analytics and metrics results for consistent accuracy. Implement data quality checks and practices to ensure data integrity.
* Address any issues or discrepancies in data results by troubles