Human Resources Research Analyst - Human Resources - 45776

Washington University is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, age, sex, sexual orientation, gender identity or expression, national origin, genetic information, disability, or protected veteran status.

This position is full-time and works approximately 40 hours per week. 

This position is in the Department of Human Resources.  This position is for the West Campus.

POSITION SUMMARY:

Under the direction of the Manager of HR Reporting & Compliance, this position performs statistical analysis in support of Human Resources and University data-driven decision-making and strategic planning. Has primary responsibility for a variety of reporting, trending and analysis projects and initiatives using human resources data. Analyzes data, produces reports and graphics, and writes summary reports to translate results of analysis into actionable information. Also responsible for: identifying data needs for various human resources functions; fulfilling internal and external requests for reporting, trending and analysis using data about the WUSTL workforce; and creating data structures necessary to capture and retain data for trending, modeling and forecasting purposes.

PRIMARY DUTIES AND RESPONSIBILITIES:

1. Serves as a subject matter expert in WUSTL Human Resources data.
2. Analyzes data and creates reports for management as a tool to review HR information against strategic initiatives.
3. Prepares informational and analytical reports that illustrate present conditions, identify trends, and recommend opportunities for improvement.
4. Identifies and collects data from various sources to examine business issues and propose options/solutions for Human Resources and other business functions across the University.
5. Extracts and formats datasets for analysis, utilizing a variety of statistical techniques to create and test model results.
6. Determines best methods of presenting data relating to HR and other business issues.
7. Determines and develops metrics within Human Resources and other business venues which support short-term and long-term business planning.
8. Provides input on suggested business actions based on analytical results.
9. Conducts cost/benefit analysis for various business problems as requested.
10. Maintains systems and tools for managing trend-line data.
11. Builds regression models and other statistical models using standard statistical tools as appropriate.
12. Assists management in interpreting and implementing changes in laws and regulations that impact higher education and academic medicine. Assists management in responses to government audits and requests for information.
13. May prepare reports and analyses related to university compliance with federal, state and local laws and regulations as they relate to human resources, particularly reporting requirements specific to higher education institutions.
14. May serve on various committees and working groups in support of University administration.
15. Ability and interest in partnering with faculty members and University senior administration on complex analyses to support data-driven decision-making.
16. May assist in building literature reviews, statistical models for publications, and in developing concepts for grant applications as they relate to HR data.
17. Performs other duties as assigned.

Bachelor’s degree (or equivalent experience) in statistics, psychology, economics, business administration, human resources or a related field, plus 3 years’ experience using statistical techniques and data analysis tools such as Stata, R, SAS and/or SPSS. Requires intermediate programming skills in one or more statistical packages. A doctoral degree in one of these fields may substitute for the required experience.

• Intermediate to advanced knowledge of database management tools, word processing and presentation software.
• Strong analytical, communication and organizational skills, verbal and numeric ability, and ability to work independently and use discretion.
• Demonstrated ability to maintain confidentiality.�
• Experience and strong working knowledge of SQL and/or other programming languages.
• Familiarity with a wide variety of statistical techniques such as linear regression, ANOVA (i.e., t-testing), non-parametric statistics, etc.
• Experience with large databases and a variety of data structures.
• Strong critical thinking and research skills; and a high level of attention to detail.

PhD in industrial/organizational psychology, statistics, economics, or a related field.

• Advanced knowledge of Microsoft Office applications particularly Excel, PowerPoint, Word, and Access.
• Experience with PeopleSoft and with IBM Cognos or similar enterprise reporting tools highly desirable.
• Ability to identify data issues, recognize and correct inconsistencies, and present results in a clear and engaging way.
• Knowledge of the business environment(s) of healthcare, higher education and academic medicine highly desirable.

The hiring range for this position is $56,472 - $73,403 annually.

All external candidates receiving an offer for employment will be required to submit to pre-employment screening for this position. Current employees applying for a new position within the university may be subject to this requirement. The screenings will include a criminal background check and, as applicable for the position, other background checks, drug screen, employment and education or licensure/certification verification, physical examination, certain vaccinations and/or governmental registry checks. All offers are contingent upon successful completion of required screening.

This position is eligible for full-time benefits.  Please click the following link to view a summary of benefits:  https://wustl.box.com/s/8wkhs25yssf0775x9d6nd6vqa7obpth7.

Please attach a copy of your most current signed performance evaluation (completed within the last 18 months) to your online account.  If you have not received a performance evaluation, you may provide two current signed letters of recommendation (written within the last 18 months), preferably to include one letter from either a current or recent former supervisor.  To attach these documents, go to:  My Career Tools, Add Attachment, Attachment Type – Performance Reviews or Letters of Recommendation.