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Lead HR Operations

Lead HR Operations

Trianz
3-7 Years
Not Disclosed
Quick Apply
  • Posted 27 days ago
  • Over 200 applicants have applied

Job Description

The HR Data & Payroll Analyst is responsible for managing HR data, analytics, and payroll processing. This role ensures accurate payroll execution, analyzes workforce trends and provides data-driven insights to improve HR operations, compensation, and employee engagement.

Key Responsibilities

  • HR Data & Analytics Collect, clean, and maintain HR data from HRIS, payroll and performance systems.
  • Create dashboards and reports on key HR metrics (attrition, headcount, compensation, engagement).
  • Analyze workforce trends and support data-driven HR decisions.
  • Automate HR reports and optimize data processes.
  • Payroll Management Process payroll accurately, ensuring compliance with tax regulations and company policies.
  • Manage employee salary changes, bonuses, benefits deductions and payroll adjustments.
  • Handle payroll reconciliations, audits, and reporting. Ensure timely payments and resolve payroll discrepancies.
  • Compliance & Process Improvement Ensure payroll and HR data compliance with labor laws and data privacy regulations.
  • Streamline payroll and HR analytics processes through automation.

Qualifications & Skills:

Education: Bachelor's or Master's in HR, Finance, Business Analytics or related field.

Experience: 3-8 years in payroll, HR analytics, or HR operations.

Technical Skills: Payroll software proficiency (ADP, SAP, Workday, Oracle, etc.). Strong Excel, Power BI or Tableau skills. Basic SQL, Python or R (preferred).

Soft Skills: Strong attention to detail and problem-solving skills. Good communication and collaboration abilities.

Preferred Certifications: Payroll (CPP, FPC) or HR Analytics (SHRM-CP, Google Data Analytics) certifications.

More Info

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About Company

Trianz is a leading-edge technology platforms and services company that accelerates digital transformations at Fortune 100 and emerging companies worldwide in data analytics, digital experiences, cloud infrastructure, and security. Our quot;IP Led Transformationsquot; approach, informed by insights from a recent global study spanning 20+ industries and 5000+ companies, addresses challenges posed by the rapid pace of AI-driven transformation, digital talent scarcity, and economic uncertainty

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