HR Data QA Analyst-28340
Rush University Medical Center · Chicago, IL · 1 mo ago
Quality Assurance$38.02–$55.18/hrFull-time
Job Responsibilities
- Lead and support projects to update necessary alignments or corrections of HR data elements across the organization
- Create accurate, repeatable, and scalable reports to support HR data quality audits to ensure reliable data and reporting
- Investigate questions regarding data and provide accurate and timely responses
- Identify, analyze, assess, document, and communicate potential quality issues in the way data is collected, stored, processed, or used
- Create partnerships with key stakeholders in HR and the business to resolve data quality problems using techniques such as root cause analysis
- Lead cross-functional data cleansing projects
- Create and execute plans for the maintenance of the data integrity based on findings from root cause analysis
- Perform data analysis and prepare reports and dashboards for leadership using Analytics tools such as Power BI, to communicate trends and patterns
- Create data quality scorecards and present to COE partners, Business Partners, and Sr. HR Leadership
- Manage data quality documentation by defining and maintaining data standards, definitions, and models (e.g. data dictionary, organizational data model, etc.)
- Provide data quality services to the organization by participating in cross-functional teams and development task forces on a project basis
- Bring Data Quality policy decisions, data quality issues, prioritization questions, etc. to HR Data Governance Committee to ensure data quality objectives are met
- Compile and assist with the acquisition of data reports and summaries for leadership and team members.
- Conduct regular assessments including quality assurance testing, system audits, data cleanup and corrections.
- Create a variety of user procedures, guides, manuals, and instructional tools.
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, SQL, 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
- 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