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Data Analytics Manager (GYN/OB)

Role overview

Qualifications

  • Bachelor's Degree
  • Seven years of related experience
  • PhD in epidemiology, demography, or related field
  • Five or more years' experience supporting or leading research on related topics

Responsibilities

  • Lead the development and implementation of strategies for using quantitative data and methods
  • Shape and conduct approaches for collecting, organizing, and analyzing data
  • Champion the use of quantitative data to drive decisions
  • Produce compelling and intuitive data visualizations

About the company

The Johns Hopkins University logo

The Johns Hopkins University

Higher Education

We are America’s first research university, founded in 1876 on the principle that by pursuing big ideas and sharing what we learn, we can make the world a better place. For more than 140 years, our faculty and students have worked side by side in pursuit of discoveries that improve lives. Johns Hopkins enrolls more than 24,000 full- and part-time students throughout nine academic divisions. Our faculty and students study, teach, and learn across more than 260 programs in the arts and music, the humanities, the social and natural sciences, engineering, international studies, education, business, and the health professions.The university has four campuses in Baltimore; one in Washington, D.C.; one in Montgomery County, Maryland; and facilities throughout the Baltimore-Washington region as well as in China and Italy. The university takes its name from 19th-century Maryland philanthropist Johns Hopkins, an entrepreneur who believed in improving public health and education in Baltimore and beyond.

Company details

Company typeXLarge
IndustryHigher Education
Company size10001

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Job description

 

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We are seeking a Data Analytics Manager who will create and execute approaches for using quantitative data and methods to understand and review complex issues and business needs of the assigned area. This position has a strong knowledge in analytics, is proficient in a general programming language (like Python) or a statistical package (R) and has an appetite for engaging in non-quantitative aspects of the innovation process.


Specific Duties & Responsibilities

  • Lead the development and implementation of strategies for using quantitative data and methods to understand complex business issues.
  • Shape and conduct approaches for collecting, organizing, and analyzing data, including methods for creating new data (e.g. through surveys) when there is limited or no data.
  • Employ diverse quantitative methodologies and software packages, including data validation, joining of diverse datasets, historical/trend analysis, comparative/cross-sectional analysis, GIS mapping, regression analysis, etc.
  • Invent and quickly iterate novel solutions to challenging data-related problems.
  • Create and manage project plans for the quantitative data components of all teamwork.
  • Develop and manage partnerships and collaborations with data providers and stakeholders.
  • Champion the use of quantitative data to drive decisions.
  • Produce compelling and intuitive data visualizations to drive comprehension of complex topics and concepts across a broad range of stakeholders.
  • Communicate data analysis so that information and findings are accessible to a non-technical audience, including through dashboard tools like Tableau or Microsoft Power BI.
  • Develop metrics and measurement systems to measure the impact of the team’s projects and initiatives.
  • Connect data insights to research and collaborate with team members to conduct research sessions including focus groups, interviews, and user testing.
  • Support analogous research and literature reviews.
  • Serve as a key participant in each step of the area’s data methodology, providing a quantitative perspective to all projects.
  • Serve as a lead for the data analytics team.
  • Perform other related duties as requested.
  • This position is to support research on reproductive health, maternal and infant outcomes, and health policy. 
  • This position is ideal for candidates with strong quantitative and epidemiologic skills who are interested in applying data science to pressing public health issues. The role will involve managing, cleaning, and analyzing large administrative and claims datasets, supporting and leading statistical analyses, drafting manuscripts for publication, and providing broader research support as needed.
  • The Data Analytics Manager will need to, clean, manage, and analyze large, complex datasets using statistical software (e.g., Stata, R).
  • Contribute to study design, data interpretation, and statistical modeling.
  • Draft and edit manuscripts for submission to peer-reviewed journals.
  • Collaborate with research teams across institutions and disciplines.
  • Provide mentorship to graduate students and research assistants, as needed.
  • Minimal travel may be expected for conferences or collaborative meetings.


Minimum Qualifications

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


Technical Skills and Expected Level of Proficiency

  • Data Architecture -Advanced
  • Database Querying - Advanced
  • Data Strategy and Innovation - Advanced
  • Data Visualization - Advanced
  • Project Management - Advanced
  • Program Evaluation - Advanced
  • Stakeholder Engagement - Advanced
  • Statistics - Advanced


The core technical skills listed are most essential; additional technical skills may be required based on specific division or department needs.


 


 

Classified Title: Data Analytics Manager  
Role/Level/Range: ATP/04/PE  
Starting Salary Range: $41.28 - $72.25 HRLY ($30,544.80 targeted; Commensurate w/exp.) 
Employee group: Casual / On Call 
Schedule: Monday - Friday 8am - 5pm 
FLSA Status: Exempt 
Location: Remote 
Department name: SOM OB GYN Bay Gynecology Obstetrics Bay   
Personnel area: School of Medicine 

 

 

 

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