HR Data Analyst - Payroll and HRIS

Application Deadline: 19 June 2026

Department: People

Employment Type: Vertrag

Location: Noida

Compensation: 1.000.000 ₹ - 1.600.000 ₹ / Jahr

Description

The Reverse Logistics Group (RLG) is an innovative technology service provider for global players in the materials management sector. Through our scalable platform solutions, we overcome challenges in consumer goods and material take-backs worldwide and connect all stakeholders within the reverse logistics value chain. Our goal is to generate the greatest possible value from recyclable goods by optimizing take-back processes. We work with manufacturers, retailers and government organizations in over 80 countries, enabling smooth circular material flows and maximizing resource efficiency.

Our vision is to save important resources and create a better planet for future generations through a sustainable circular economy.

Our core values drive everything we do. We believe in promoting a supportive environment for our colleagues, delivering exceptional service to our customers, contributing to the community, and working towards a more sustainable environment. If you share these values and are passionate about making a positive impact, we'd love to have you on our team.

About the role

Role Purpose

The HR Data Analyst Payroll & HRIS will play a critical role in improving the quality, completeness, and consistency of people data across Reconomy. The role is responsible for collecting payroll data files from all geographic locations, understanding and interpreting the data contained within those files, and consolidating them into a single master dataset.

This master dataset will be routinely reconciled against the HRIS to identify data discrepancies, missing information, and required updates. The role will also proactively engage with in‑country payroll providers, local HR teams, and Finance colleagues to resolve gaps and ensure ongoing data accuracy in line with payroll cycles.

This is strictly 6-month contract role.

Role & responsibilities

Payroll & Data Collection

Collect payroll files from all Reconomy entities and locations in line with agreed payroll calendars.
Understand the structure, content, and definitions of payroll data across different countries, providers, and formats.
Maintain clear documentation of payroll file structures and data variations.

Data Consolidation & Reconciliation

Build and maintain a consolidated master payroll dataset bringing together all locations.
Reconcile payroll data against the HRIS to identify discrepancies, missing fields, or misaligned values.
Clearly document variances and propose corrective actions aligned to global data standards.

Data Quality & Issue Resolution

Identify data missing from payroll files and actively chase required information with local HR, payroll teams, or Finance.
Track and monitor recurring data quality issues and support root‑cause analysis.
Work with People Systems colleagues to ensure HRIS updates are completed accurately and on time.

Stakeholder Collaboration

Build strong working relationships with regional HR teams, payroll providers, and Finance colleagues.
Clearly communicate data issues, risks, and progress to the People Systems & Data team.

Governance & Continuous Improvement

Support the development of standardized payroll‑to‑HRIS reconciliation processes.
Contribute to improved data governance, controls, and audit readiness.
Identify opportunities to automate or streamline data collection and reconciliation activities over time.

What we need from you

Essential

6 to 10 years of strong experience working with large, confidential datasets, ideally payroll, HR, or financial data.
Advanced Excel skills (e.g. lookups, data cleansing, pivot tables; Power Query desirable).
High attention to detail with a strong focus on data accuracy and consistency.
Experience reconciling data between multiple sources and systems.
Confidence working with stakeholders across different countries and time zones.

Desirable

Experience working with HRIS and payroll systems.
Understanding of global payroll concepts and country‑specific variations.
Experience supporting recurring operational processes (e.g. payroll cycles, monthly reporting).
Exposure to data visualisation tools (e.g. Power BI).

Personal Attributes

Highly organised with the ability to manage recurring deadlines.
Comfortable working independently while collaborating within a global team.
Curious and analytical, with a drive to understand how data is created and used.
Clear communicator, able to explain data issues to non‑technical colleagues.
Adherence to confidentiality and data protection while working with highly sensitive data.

CTC Offered

Up to 16 LPA

About the role

What we need from you

CTC Offered

Über Reverse Logistics Group