Sr. Data Analyst (Oncology)

Johns Hopkins University•Baltimore, MD

3d•$62,900 - $110,100•Onsite

About The Position

We are seeking a Sr. Data Analyst who will be responsible for developing, implementing, and managing a plan to translate data into insights. The Sr. Data Analyst will provide expertise in data analysis and illustrations to articulate and monitor programs, projects, and general business success. The Sr. Data Analyst will serve as a data consultant to the assigned area and to provide complex analysis and reporting on various outcomes.

Requirements

Bachelor's Degree.
Five 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, to the extent permitted by the JHU equivalency formula.

Nice To Haves

Expertise in data analysis and illustrations.
Experience with Power BI and Tableau.
Knowledge of data storytelling principles.

Responsibilities

Align assessment strategy with strategic objectives and goals.
Translate data into insights to be used to support positive and enhanced outcomes.
Collaborate with leadership to plan and implement assessment activities, including consultation on data collection, data analysis, reporting of assessment outcomes, and using results to improve programs and services.
Prepare an annual assessment report to summarize findings across the school/division.
Lead the design of clean, impactful, user-friendly data visualizations supporting strategic goals.
Communicate findings compellingly and visually through dashboards, reports, briefing decks, stories, scorecards, executive briefings, etc. for different audiences using software like Power BI and Tableau.
Provide insights on data patterns and trends, make strategic recommendations from analysis.
Design and build data visualizations from concept to data analysis to the final step of visualization, informed by principles of good data storytelling.
Collect and analyze various complex data and information; in collaboration with others, perform statistical analysis and summarize findings inapplicable reports or other communication mediums.
Use data visualization techniques to distill and clarify complex processes or data sets.
Conduct quality assurance and review of all data visualizations to ensure accuracy, usability, and adherence to existing branding and style guidelines.
Create and maintain a library or repository of analysis documents, slides, and links to dashboards.
Work with leadership to develop an efficient system for planning and administering surveys to minimize survey fatigue and maximize the collection of actionable data.
Other duties as assigned.