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Sr. Business Intelligence Analyst

Employer
Johns Hopkins University
Location
Johns Hopkins University

Job Details

We are seeking a Sr. Business Intelligence Analyst (Sr. BIA). This role is responsible for data analytics and additional support of research projects, data extraction, data collection, data formatting, reporting, and data visualizations. Responsible for participating in the strategic design and maintenance of business intelligence applications, including project tracking and fulfillment. Identifies, researches, and resolves technical problems. Ensures that the use of business intelligence applications enhance clinical & business decision-making capabilities. Works under the supervision of a Data Trust Analytic Team Leader as well as BEAD Core research project leadership appropriate for the scope of work.


The Job Scope/Complexity is to ensure that the use of business intelligence applications enhances clinical and/or business decision making capabilities. The Sr. BIA Contributes to moderately complex to very complex aspects of a project where the work is generally both independent and collaborative in nature. Additionally, the Sr. BIA engages in data exploration exercises with a variety of complex business intelligence tools, requiring knowledge of relational database structures and is expected to collaborate with other analytic teams and central engineering team(s) as directed.


Specific Duties & Responsibilities

  • The responsibilities listed below are typical examples of the work performed by this position. Not all duties assigned to this position are included, nor is it expected that everyone in this position will be assigned every job responsibility.
  • Responsible for data analytics and additional support of performance measures, ongoing measurement, data collection, reporting, data visualizations and information dissemination.
  • Responsible for implementing the strategic design and maintenance of business intelligence applications. Identifies, researches, and resolves technical problems.
  • Ensures that the use of business intelligence applications enhances business decision making capabilities.
  • Engages in data exploration exercises with a variety of complex business intelligence tools, requiring knowledge of relational database structures.
  • Serve as a resource on complex technical matters.
  • Provide a leadership role for the work group through knowledge in the area of specialization.
  • Collaborates with other analytic teams and central engineering team as directed.
  • Makes appropriate decisions, using available resources, to achieve positive outcomes for patients, visitors, staff, and students in balance with sound business practice.
  • Makes recommendations for changes in the current departmental systems and processes and contributes ideas and suggestions for solutions to the current system's problems.
  • Responds to urgent, impromptu, and unplanned situations by assessing their level of importance, instituting appropriate action and information appropriate management.
  • Communicates decisions to appropriate management.
  • Prioritizes daily tasks and assignments appropriately.
  • Completes mandatory Epic and/or other software or analytic tool training as required.
  • Collaborates with other analytic teams as directed.
  • Report and follow-up on software problems resulting in delay in workflow.

Special Knowledge, Skills, & Abilities

  • Advanced technical and programming skills with SQL for working with large scale databases, conducting data management, querying data, and building reports.
  • Advanced technical skills with Python/R Programming (Python is preferred).
  • Knowledge of project and information management.
  • Analytical ability required to gather data, perform transformation, perform complex analysis, solve both business and technical problems.
  • Knowledge of relational databases. Ability to learn EMR data structure for positions working with patient-related data.
  • Advanced ability to problem-solve creatively and analyze processes and systems.
  • Must possess advanced written and verbal communication skills necessary to gather and exchange data (both internally and externally).
  • Highly proficient with administrative skills, including advanced use of word processing, database, spreadsheet and desktop publishing software.
  • Ability to analyze highly complex data sets.
  • Data mining/management, data collection instruction, including ability to show data in a user-friendly format for a variety of audiences.
  • Good analytical and advanced problem-solving ability to assess, prioritize and solve highly complex clinical and systems problems.
  • High analytical ability to solve complex technical problems.
  • Ability to balance multiple tasks simultaneously and quickly switch between priorities/tasks.
  • Ability to interact with all levels of staff and adapt to a rapidly changing work environment.
  • Awareness of the need for timely communication, ability to identify potential barriers and strategies, and ability to synthesize and integrate information.
  • Knowledge of and ability to use multiple information systems and software.

Technical Qualifications or Specialized Certifications

  • Applicant will be required to attain Epic Data Warehouse certification required within 6 months of hire.


Minimum Qualifications

    • Bachelor's Degree in related discipline.
    • Four years of related experience in a professional environment where the required knowledge base and skills have been utilized, and a minimum of 2 years of data analytics.
    • Additional education may substitute for required experience and additional experience may substitute for required education, to the extent permitted by the JHU equivalency formula.



    Preferred Qualifications
    • Knowledge in the assigned application as well as the platform on which it runs.

    Classified Title: Sr. Business Intelligence Analyst
    Role/Level/Range: ATP/04/PD
    Starting Salary Range: $62,300 - $109,000 Annually ($69,000 targeted; Commensurate with experience)
    Employee group: Full Time
    Schedule: 8:30-4:30, Monday-Friday
    Exempt Status: Exempt
    Location: Hybrid/Johns Hopkins Bayview
    Department name: SOM Ped Bay Bayview Pediatric Unit
    Personnel area: School of Medicine

    Organization

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