Sr. Data Analyst (HR Data & Analytics)

Johns Hopkins University•Baltimore, MD

7d•Hybrid

About The Position

We are seeking a Sr. Data Analyst, Visualization & Innovation to play a critical role in advancing Johns Hopkins University’s HR data capabilities through modern analytics, visualization, and insight delivery. Our HR organization is entering a new era of data-driven decision making. As we modernize systems and integrate information across platforms, we are creating a role that will lay the foundation for clear, consistent, and actionable HR data. This position is for someone who can hit the ground running, build compelling dashboards, and be genuinely curious about emerging HR technology. You will help transform HR data into insights that guide strategy across workforce planning, recruitment, retention, compensation, and beyond. This is a unique opportunity to join a forward-thinking team where your work will directly influence decisions and support a future in which data, analytics, and visual storytelling are central to HR leadership.

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.
Advanced knowledge of analysis software such as Power BI, Tableau, Excel.
Understanding of relational and dimensional data models and structures.
Experience working with querying tools such as SQL, Python, R Data.
Data Analysis - Developing
Data Collection and Reporting - Developing
Data Tools and Platforms - Developing
Data Validation and Quality Assurance - Developing
Information Gathering - Developing
Oral and written communications - Developing
Project Management - Developing
Strategic Thinking - Developing

Nice To Haves

Advanced Power BI/Tableau dashboard development combined with hands-on experience analyzing and visualizing HR data from HRIS, applicant tracking, and workforce systems
Strong SQL or equivalent data querying skills for integrating, validating, and analyzing complex, multi-source HR datasets
Experience working with Data Warehouses and/or Data Lake houses

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.
Integrate and model data across multiple HR systems such as HRIS and applicant tracking systems to create scalable, trusted HR datasets.
Partner with HR stakeholders to improve data definitions, governance, and overall HR data quality.
Analyze workforce trends and support the evolution toward predictive and forward-looking HR analytics.
Explore, pilot, and apply emerging HR technologies and analytics tools to enhance insight delivery.
Embed inclusive and equitable data practices into HR analysis and reporting analytics.