Payroll Analytics Analyst

Job Summary

We are looking for a Senior Advanced Analytics Analyst with deep expertise in Payroll Analytics to bridge the gap between business strategy, finance, and data engineering.

In this role, you will solve high-impact analytics problems, design rigorous statistical experiments, and build scalable machine learning models. You'll work closely with executive stakeholders, payroll leaders, and IT teams to transform raw payroll and HR data into compelling narratives that drive key business decisions.

location: Telecommute

job type: Contract

salary: $60 - 65 per hour

work hours: 9am to 6pm

education: Bachelors

Responsibilities

Analytics Strategy & Storytelling

• Payroll Analytics: Leverage specialized payroll systems to conduct deep-dive analyses on workforce compensation, payroll efficiency, and operational trends.
• Experimentation: Design experimental frameworks and A/B tests to systematically test hypotheses across business processes.
• Data Narrative: Translate complex technical data findings into clear, compelling visual stories for executive leadership and HR/Finance stakeholders.
• Data Quality: Define data validation metrics and partner with data stewards to ensure strict data governance, security, and regulatory compliance.
  
  

Modeling & Reporting

• Predictive & Advanced Analytics: Perform descriptive, inferential, correlational, and predictive analyses to uncover hidden operational patterns.
• BI Automation: Design, deploy, and automate ETL workflows, business intelligence reports, dashboards, and machine learning pipelines.
• Continuous Optimization: Monitor decision systems in real time to ensure ongoing statistical rigor and model performance.
  
  

Cross-Functional Collaboration

• Business Translation: Convert high-level business and financial objectives into technical data architecture and analysis plans.
• Data Mentorship: Champion data literacy across the organization by educating team members on statistical principles and analytics tools.
  
  

Qualifications

Education: Bachelor's degree in Statistics, Mathematics, Engineering, Computer Science, Business Analytics, or a related quantitative field. (Master's degree preferred).

Experience in data analytics, data science, or a closely related role.

Domain Experience: 5-10 years of hands-on experience in Payroll Analytics or a directly related field.

Leadership: 1 year in a project lead, team lead, or supervisory capacity.

Required System & Tool Expertise

Must-Haves: SQL, PowerBI (critical), and creating dashboards for payroll data and trends.

• Nice-to-Have: Alteryx proficiency
  
  

Payroll & Industry Knowledge

• Preference: Advanced payroll knowledge.
• Minimum: HR knowledge if payroll experience is lacking.
  
  

Statistical Analysis & Modeling: Inferential stats, hypothesis testing, predictive modeling.

Equal Opportunity Employer: Race, Color, Religion, Sex, Sexual Orientation, Gender Identity, National Origin, Age, Genetic Information, Disability, Protected Veteran Status, or any other legally protected group status.

At Randstad Digital, we welcome people of all abilities and want to ensure that our hiring and interview process meets the needs of all applicants. If you require a reasonable accommodation to make your application or interview experience a great one, please contact HRsupport@randstadusa.com.

Pay offered to a successful candidate will be based on several factors including the candidate's education, work experience, work location, specific job duties, certifications, etc. In addition, Randstad Digital offers a comprehensive benefits package, including: medical, prescription, dental, vision, AD&D, and life insurance offerings, short-term disability, and a 401K plan (all benefits are based on eligibility).

This posting is open for thirty (30) days.

It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability.