HR Data QA Analyst

Location: Chicago, Illinois

Business Unit: Rush Medical Center

Department: HR Strategy and Analytics

Work Type: Full Time

Work Schedule: 8 Hr (8:00 AM - 5:00 PM)

Rush offers exceptional rewards and benefits learn more at our Rush benefits page (https://www.rush.edu/rush-careers/employee-benefits).

Pay Range: $38.02 - $55.18 per hour
Rush salaries are determined by many factors including, but not limited to, education, job-related experience and skills, as well as internal equity and industry specific market data. The pay range for each role reflects Rush’s anticipated wage or salary reasonably expected to be offered for the position. Offers may vary depending on the circumstances of each case. This role has a corresponding incentive plan based on multiple factors. incentive compensation and additional benefits can be found on our Rush benefits page (https://www.rush.edu/rush-careers/employee-benefits)

Summary:
This role is responsible for leading and supporting quality assurance analysis of the organization’s HR data to support organizational integrations of disparate HR data sources. This role will create reports to assess quality integrity and provide recommendations to the HR organization re: clean-up, integration and maintenance plans before and after the data sources are merged. This role will recommend measurement criteria and create scorecards to demonstrate compliance, timeliness and satisfaction of data source integration, as well as provide feedback to the creation and ongoing updates to policies and procedures around data integrity. This role will provide training, documentation and ongoing documentation to support data integrity efforts, working collaboratively across multiple HR and IT functions, while adhering to Rush’s ICARE values.

Other information:
Required Job Qualifications:

Bachelor's degree in Computer Science, Information Systems, Statistics, Finance, Business, or a related field required
5 years of experience in data analysis with foundational understanding of people data
Advanced skills in MS Excel, S-Ql, BI
Ability to manage multiple tasks, efficiently prioritize projects, and embrace new challenges
Excellent analytical skills, including the ability to find root causes of data quality issues required
Excellent interpersonal and collaboration skills required to work with different levels of business leadership, business users, and functional teams required
Proven ability to collaborate and work in a cross-functional team environment.
Must be able to analyze and resolve non-routine data issues using independent judgment
Detail-orientated and highly organized
Experienced working in complex, fast-paced organizations
Knowledgeable about HR processes, policies, and compliances governing people data
Data analysis and Implementation of technical effective solutions; creative problem solver.
Project management experience and innovative thinking skills.
Process orientated and action-orientation with excellent follow-through skills.
Ability to prioritize workload and provide timely follow-up and resolution to meet tight deadlines.
Excellent customer service skills, with excellent verbal and written communication skills.
Demonstrated high level of accountability, integrity, discretion, and confidentiality.

Preferred Job Qualifications:

Five years' experience in an HRIS, functional systems, or data quality role required
Expert level experience with Excel, PowerBI, and large data set analysis required
Critical thinker who finds opportunities to develop and improve people processes using data
Exceptional analytical skills

Physical Demands:

Competencies:

Disclaimer: The above is intended to describe the general content of and requirements for the performance of this job. It is not to be construed as an exhaustive statement of duties, responsibilities or requirements.

Responsibilities:
Job Responsibilities:

1. Lead and support projects to update necessary alignments or corrections of HR data elements across the organization

2. Create accurate, repeatable, and scalable reports to support HR data quality audits to ensure reliable data and reporting

3. Investigate questions regarding data and provide accurate and timely responses

4. Identify, analyze, assess, document, and communicate potential quality issues in the way data is collected, stored, processed, or used

5. Create partnerships with key stakeholders in HR and the business to resolve data quality problems using techniques such as root cause analysis

6. Lead cross-functional data cleansing projects

7. Create and execute plans for the maintenance of the data integrity based on findings from root cause analysis

8. Perform data analysis and prepare reports and dashboards for leadership using Analytics tools such as Power BI, to communicate trends and patterns

9. Produce data quality scorecards and present to COE partners, Business Partners, and Sr. HR Leadership

10. Manage data quality documentation by defining and maintaining data standards, definitions, and models (e.g. data dictionary, organizational data model, etc.)

11. Provide data quality services to the organization by participating in cross-functional teams and development task forces on a project basis

12. Bring Data Quality policy decisions, data quality issues, prioritization questions, etc. to HR Data Governance Committee to ensure data quality objectives are met

13. Compile and assist with the acquisition of data reports and summaries for leadership and team members.

14. Conduct regular assessments including quality assurance testing, system audits, data cleanup and corrections.

15. Develop a variety of user procedures, guides, manuals, and instructional tools.

16. Builds positive, productive, and trusting partnerships and enjoys collaboration across functions and teams

17. Perform additional duties as assigned.

18. Create a positive and respectful work environment for their team based on the ICARE values.

Rush is an equal opportunity employer. We evaluate qualified applicants without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, veteran status, and other legally protected characteristics.

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