John Hopkins University

Data Analytics Manager

John Hopkins University

full-time

Posted on:

Origin:  • 🇺🇸 United States

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Salary

💰 $73,300 - $128,300 per year

Job Level

SeniorLead

Tech Stack

PythonTableau

About the role

  • Lead development and implementation of quantitative data strategies to understand complex business issues.
  • Shape and conduct approaches for collecting, organizing, and analyzing data, including creating new data (e.g., surveys).
  • Employ diverse quantitative methodologies and software (data validation, joining datasets, trend analysis, GIS mapping, regression, etc.).
  • Invent and iterate novel solutions to data problems.
  • Create and manage project plans for quantitative data components.
  • Develop and manage partnerships with data providers and stakeholders.
  • Champion quantitative data-driven decision making.
  • Produce compelling data visualizations (Tableau, Power BI) and communicate findings to non-technical audiences.
  • Develop metrics and measurement systems to assess project impact.
  • Connect data insights to research; collaborate on focus groups, interviews, user testing; support literature reviews.
  • Serve as key participant in data methodology and lead the data analytics team; may manage Data Analysts.
  • Manage, clean, and analyze large administrative and claims datasets; support statistical analyses and manuscript drafting.
  • Provide mentorship to graduate students and research assistants; minimal travel for conferences/meetings.

Requirements

  • Bachelor's Degree.
  • Seven years of experience.
  • Additional education may substitute for required experience per JHU equivalency formula.
  • Additional related experience may substitute for required education beyond a high school diploma/equivalent.
  • PhD in epidemiology, demography, or related field preferred.
  • 5 or more years experience supporting or leading research on related topics preferred.
  • Content area expertise in reproductive and perinatal epidemiology preferred.
  • Extensive experience working with claims data and vital statistics data preferred.
  • Strong publication record preferred.