Sr. Data Analyst (HR Data & Analytics)

Johns Hopkins University
Baltimore, United States of America
30 days ago

Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Working hours
Regular working hours
Languages
English
Experience level
Senior
Compensation
$ 110K

Job location

Baltimore, United States of America

Tech stack

Microsoft Excel
Data analysis
Applicant Tracking Systems
Data Validation
Data Files
Data Visualization
Data Warehousing
Human Resources Information System (HRIS)
R
HR Analytics
Python
Power BI
SQL Databases
Systems Integration
Tableau
HR Software
Build Management
Data Lake

Job description

  • 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.

In addition to the duties described above

  • 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.

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 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

Technical Qualifications & Specialized Certifications

  • 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.

Technical Skills and Expected Level of Proficiency

  • 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

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

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