Note: The job is a remote job and is open to candidates in USA. Randstad Digital Americas is seeking a Senior Advanced Analytics Analyst with deep expertise in Payroll Analytics. In this role, you will solve high-impact analytics problems, design rigorous statistical experiments, and build scalable machine learning models while collaborating with executive stakeholders and payroll leaders.
Responsibilities
- Leverage specialized payroll systems to conduct deep-dive analyses on workforce compensation, payroll efficiency, and operational trends
- Design experimental frameworks and A/B tests to systematically test hypotheses across business processes
- Translate complex technical data findings into clear, compelling visual stories for executive leadership and HR/Finance stakeholders
- Define data validation metrics and partner with data stewards to ensure strict data governance, security, and regulatory compliance
- Perform descriptive, inferential, correlational, and predictive analyses to uncover hidden operational patterns
- Design, deploy, and automate ETL workflows, business intelligence reports, dashboards, and machine learning pipelines
- Monitor decision systems in real time to ensure ongoing statistical rigor and model performance
- Convert high-level business and financial objectives into technical data architecture and analysis plans
- Champion data literacy across the organization by educating team members on statistical principles and analytics tools
Skills
- Bachelor's degree in Statistics, Mathematics, Engineering, Computer Science, Business Analytics, or a related quantitative field
- Experience in data analytics, data science, or a closely related role
- 5-10 years of hands-on experience in Payroll Analytics or a directly related field
- 1+ year in a project lead, team lead, or supervisory capacity
- Oracle HCM Payroll
- Alteryx (for data blending and workflow automation)
- 3+ years hands-on experience in Statistical Analysis & Modeling: Inferential stats, hypothesis testing, predictive modeling
- 3+ years hands-on experience in Machine Learning: Building and deploying ML algorithms to solve business problems
- Proficiency in Python or R
- Hands-on experience with modern BI platforms
- Oracle OACS (Oracle Analytics Cloud Service)
- SQL
- Advanced Excel
- Tableau
- SPSS
- SAS
- Cognos
- Business Objects
- Systems Engineering
- Data Architecture
- Healthcare domain knowledge
- Robotic Process Automation (RPA)
- Natural Language Processing (NLP)
- Text Analytics
- Accredited Project Management (PMP) certification
- Process Improvement (Lean Six Sigma) certification
Benefits
- Medical, prescription, dental, vision, AD&D, and life insurance offerings
- Short-term disability
- A 401K plan (all benefits are based on eligibility)
Company Overview
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