• Senior Data Analyst

    Johns Hopkins University (Baltimore, MD)


    IT@JH Research Data Analytics and Engineering is seeking a **_Senior Data Analyst_** who will work to understand the diverse requirements of the Johns Hopkins University and Johns Hopkins Medicine research community and develop solution sets to meet their needs. Research IT is a growing and developing area within the IT@JH organization. This role will help support and implement a new set of service offerings for the Research Data Analytics and Engineering unit being rolled out under the Office of the Deputy CIO. The objective of this unit is supporting and advancing the management of research data across its lifecycle.

    Specific Duties & Responsibilities

    + Supports the collection, storage, maintenance, and data quality of critical research data throughout its lifecycle while maintaining data provenance and data integrity.

    + Ensures that analytic and data management solutions leverage best practice, secure, and compliant technology and are implemented in accordance with institutional, local, and federal policies. Ensures that information is disseminated in accordance with established policies and procedures. This includes support for both human subjects and non-human subject research.

    + Conducts complex data analysis across disparate data sources to support researchers in development of key insights. This may include both process and data analysis as well as advanced analytic techniques like NLP.

    + Engages directly with investigators and end-users, gathers and documents business and technical requirements, creates standards and best practices, designs solutions, implements them and keeps customer informed as projects progress.

    + Contributes to the development and implementation of data strategies, including identifying areas for process improvement and enhanced data-driven decision making.

    + Provides guidance and mentorship to junior data analysts and other members of the data community.

    + Plays an important role supporting the implementation and use of enterprise research data assets and products, including developing best practice guidelines, code templates, and other materials as needed.

    + Participates in project teams and collaborates effectively with team members and stakeholders. Supports development and tracking of tasks/user stories and estimates.

    + Works closely with data engineers to integrate multiple complex processes and disciplines to meet business and technical requirements.

    + Generates documentation for all tasks and assignments including business and technical requirements, code, data dictionaries, user guides, and updates within ticket or task management systems.

    + May support business intelligence applications by preparing data for ingestion with these tools and/or creating data visualizations.

    _Specific Devices, Software, Projects_

    + Supports a complex and dynamic portfolio of projects which could include feasibility and data profiling for new grant proposals, assessing data quality and completeness for observational data mapped into the OMOP CDM, and providing data management support for multi-site data coordinating centers.

    + These projects will leverage IT@JH managed software and involve a variety of data storage and analytics platforms, both on-prem and cloud-based, including Azure/Fabric, AWS, Databricks, RStudio, python, SQL Server, REDCap, and PowerBI among others.

    _Scale/size of Area, Project and/or System Supported_

    + The portfolio is dynamic and includes smaller, less complex projects as well as highly complex, larger initiatives.

    + The candidate will need to engage with individual contributors and leaders in a variety of roles and levels within the University and Medicine organizations.

    Special Knowledge, Skills & Abilities

    + Strong analytical ability to gather data and perform transformation and complex data analysis to solve both business and technical problems.

    + Proficiency in translating raw data into meaningful information.

    + Experience directly engaging with end users to understand requirements and develop analyses and deliverables to meet those requirements.

    + Strong communication skills, both written and verbal, with the ability to translate technology concepts to non-technical audiences.

    + Must be well-organized, detail-oriented, self-starter and proactive.

    + Ability to balance multiple priorities and conflicting demands.

    + Strong critical thinker with problem solving aptitude and analytical abilities.

    + Must embrace and advance Johns Hopkins’ commitment to the dignity and equality of all persons, inclusive of sex, gender, marital status, pregnancy, race, color, ethnicity, national origin, age, disability, religion, sexual orientation, gender identity or expression, and veteran status.

    Minimum Qualifications

    + Bachelor's Degree.

    + Five years' experience.

    + Additional education may substitute for required experience and additional related experience may substitute for required education beyond HS Diploma/Graduation Equivalent, to the extent permitted by the JHU equivalency formula.

    Preferred Qualifications

    + Minimum of 2 years working with data lakes and/or databases.

    + At least 1 year of hands-on experience analyzing data for research.

    + Experience with OMOP and/or other common data models .

    + Experience with SQL, python, or R .

    + Experience with structured, semi-structured, and unstructured data.

    + Experience in supporting release of data for human subject research in accordance with the HIPAA Privacy and Security rules and the Common Rule.

    + Epic certification for Cogito, Clarity, and/or Caboodle.

     

    Classified Title: Sr. Data Analyst

     

    Job Posting Title (Working Title): Senior Data Analyst

    Role/Level/Range: ATP/04/PD

    Starting Salary Range: $62,900 - $110,100 Annually (Commensurate w/exp.)

     

    Employee group: Full Time

     

    Schedule: Mon-Fri 8:30am-5:00pm

     

    FLSA Status: Exempt

     

    Department name: IT@JH Rsrch Data Analytics & Engineering

    Personnel area: University Administration

    The listed salary range represents the minimum and maximum Johns Hopkins University offers for this position, based on a good faith estimate at the time of posting. Actual compensation will vary depending on factors such as location, skills, experience, market conditions, education, and internal equity. Not all candidates will qualify for the highest salary in the range.

     

    Johns Hopkins provides a comprehensive benefits package supporting health, career, and retirement. Learn more: https://hr.jhu.edu/benefits-worklife/.

     

    Equal Opportunity Employer

     

    All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or status as a protected veteran.

    EEO is the Law

    https://www.eeoc.gov/sites/default/files/2023-06/22-088_EEOC_KnowYourRights6.12ScreenRdr.pdf