HRIS Specialist & Data Analyst
Listed on 2026-07-08
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IT/Tech
Data Analyst, Business Systems/ Tech Analyst
Great Day Improvements – HRIS Specialist & Data Analyst (Hybrid – Twinsburg, OH)
Job Type: Full-Time, exempt.
Location:
Hybrid role based in Twinsburg, OH; 2-3 days on-site. Salary Range: $70,000 - $75,000.
Great Day Improvements, LLC is a $1.5 billion, vertically integrated, direct‑to‑consumer provider of premium home‑improvement products headquartered in Twinsburg, Ohio. With a workforce of more than 4,800 employees across 130 metropolitan markets and brands such as Patio Enclosures, Champion Windows and Home Exteriors, Universal Windows Direct, Apex Energy Solutions, Leaf Guard, Englert and The Bath Authority, the company ranks among the fastest‑growing private companies nationwide.
SummaryThe HRIS Specialist & Data Analyst administers and maintains ADP Workforce Now (WFN) and Workforce Manager (WFM), ensuring accurate employee data, timekeeping configuration and payroll compliance. The role processes employee lifecycle transactions, supports attendance and accrual management, monitors system integrations, and assists with payroll‑related audits and reporting. In addition to core HRIS responsibilities, the candidate leads workforce data analysis initiatives, develops analytical models and dashboards, and translates complex HR data into actionable insights that inform strategic decision‑making across HR, Finance and Operations.
HRISAdministration & Employee Data
- Maintain and update employee records in ADP Workforce Now ensuring data accuracy, completeness, and proper effective dating
- Process employee lifecycle transactions including hires, terminations, transfers, job changes, compensation updates, and status changes
- Maintain position management structures and organizational hierarchies to ensure reporting and payroll accuracy
- Conduct routine audits of employee data including tax elections, direct deposit, accrual balances, and earnings configurations
- Monitor data integrity and correct discrepancies proactively
- Administer Workforce Manager including timekeeping profiles, pay codes, schedules, accruals, attendance rules, and work rules
- Maintain attendance tracking and point systems aligned with company policy
- Validate timekeeping configurations comply with FLSA, overtime rules, and state wage laws
- Identify configuration gaps and recommend improvements to reduce errors and manual intervention
- Monitor integrations between Workforce Manager, Workforce Now, and external vendors
- Troubleshoot interface failures, data mapping issues, and transmission errors
- Coordinate with vendors and IT teams to resolve system or connectivity issues
- Support system upgrades, patches, testing, and implementation initiatives
- Participate in user acceptance testing and validation of configuration changes
- Ensure system configurations support compliance with federal, state, and local employment regulations
- Support new hire reporting, tax setup validation, and regulatory requirements
- Maintain audit‑ready documentation and system records
- Assist with internal and external audits related to payroll, timekeeping, and HRIS controls
- Support year‑end payroll processes including W‑2 and applicable reporting
- Design, generate, analyze, and distribute standard and ad‑hoc HRIS, payroll, and workforce analytics reports
- Build and maintain workforce dashboards and data visualizations using Power BI, Tableau, or Excel to surface trends in headcount, turnover, compensation, and labor costs
- Partner with HR, Finance, and business leaders to define data requirements, translate analytical needs into structured queries, and deliver insights that support workforce planning and decision‑making
- Validate data accuracy used in leadership reporting and ensure analytical outputs are reconciled against source systems before distribution
- Develop and maintain data models, predictive analytics, and trend analyses that support workforce planning, retention strategies, and organizational effectiveness
- Apply data cleansing, transformation, and quality assurance best practices to ensure HR datasets are reliable and analytics‑ready
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