Summary
The HR Data Analyst will collect, organize, interpret, and summarize human resource data to provide usable information to assist HR with decision making, policy formulation, workforce planning or other Human Resource functions. This person will provide regular reporting (eg: via Excel and Workday) as well as devise methods for identifying data patterns and trends in available information sources while offering project support on various HR initiatives.
REMOTE work from HOME
Essential Functions
- Support reporting needs across all HR functions including configuration for new reports, troubleshooting existing reports, and advising on potential reporting solutions available within Workday
- Support and participate in the HR data lifecycle including data extraction or gathering from multiple sources; prepare data for analysis including file merging, data cleaning and entering formulas; create metrics (calculations based on past and future trends) and analytics (making recommendations for future activity) and reporting information through data visualization techniques (such as charts and graphs) as well as through mathematical calculations and/or advanced statistical analyses (such as regression, correlation, ANOVA, etc.) as needed; and maintain and update files including weekly, monthly and quarterly reports.
- Consult with HR stakeholders, using data, metrics, and analytics to identify recommendations and feedback for HR policies and initiatives
- Provide ongoing support to HR projects and initiatives including schedule planning, task tracking, communication/correspondences with team member or key operatives, and reporting relevant trends
- Meet with HR stakeholders to understand business requirements in order generate data driven solutions
Additional Responsibilities
- Performs other duties as assigned.
Skills and Abilities
- Ability to present information and ideas clearly and understandably to others
- Ability to quickly respond to changing assignments, work settings and priorities
- Demonstrates analytical skills
- Demonstrates problem solving skills
- Excellent interpretation of complex statistical data
- Ability to create unique ideas or combine existing ideas to obtain a new or unique result
- Ability to read and/or listen and understand information and ideas communicated
- Ability to manage multiple assignments and tasks, set priorities, and adapt to changing conditions and work assignments
- Ability to easily calculate, compute, organize, understand and solve numerical and quantitative problems
- Ability to find solutions to problems using creativity, reasoning, and past experiences along with the available information and resources
- Ability to maintain confidential information
- Demonstrates a high level of accuracy, even under pressure
- Study, scrutinize, examine data, people, or things scientifically
- Capable of multi-tasking, highly organized, with excellent time management skills
Qualifications
- Bachelor’s degree required preferably in a quantitative discipline such as mathematics, statistics, economics, computer science, MIS or related field.
- Master’s degree preferred industrial/organization psychology.
- One (1) year or more collecting, organizing, interpreting and presenting simple and advanced analyses, experience with Microsoft office including Excel, Access, Word, PowerPoint, experience using data visualization tools such as Tableau or Excel Pivot Table required
- One (1) year or more with Microsoft SharePoint and HRIS data and systems, preferred
- One (1) year or more creating Workday Custom Reports & Calculated Fields