UKG Ready Data Analyst
Team: Analyst
Location: US
Commitment: Full-time
Workplace Type: remote
Accountabilities:
- Audit payroll and timekeeping data to ensure accuracy and compliance.
- Execute parallel payroll testing and perform data reconciliation.
- Design, build, and maintain dashboards and reports for HR and operational teams.
- Support data-driven decision-making by analyzing workforce trends, patterns, and KPIs.
- Collaborate with cross-functional teams to improve audit frameworks and onboarding playbooks.
- Ensure data integrity across complex HR systems, including shift-based pay, union rules, and PEO arrangements.
- Provide insights and recommendations to enhance workforce processes and reporting efficiency.
- Bachelor’s degree in data analytics, information systems, finance, HR, or a related field (or equivalent experience).
- Minimum of 3 years of experience working within UKG Ready.
- Strong understanding of payroll, timekeeping, and HR data structures.
- Hands-on experience with payroll audits, parallel testing, and data reconciliation.
- Advanced Excel skills; familiarity with dashboarding and reporting tools.
- Experience in senior living, healthcare, or hospitality workforces preferred.
- Knowledge of union environments, complex overtime rules, and PEO arrangements preferred.
- Relevant certifications (UKG Ready, FPC, CPP) and experience improving audit frameworks or onboarding processes are a plus.
- Strong analytical, organizational, and communication skills.
- Competitive salary: $75,000 – $85,000/year with credit for experience.
- Remote work opportunity.
- Health insurance with company-paid premium for employee coverage.
- FSA and HSA options available.
- Company-paid dental, life, short- and long-term disability insurance.
- 401(k) plan with company match and safe harbor contribution.
- Paid Time Off and additional ancillary benefits, including vision, critical illness, voluntary life/AD&D, and accident coverage.
- Opportunities for career growth and professional development in HR analytics and data management.
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