Manager/Senior Manager - Data Analytics - Compensation & Benefits - Healthcare BPO

Our client is an international Healthcare BPO and is looking for Manager/ Senior Manager | Data analytics | Compensation & Benefits |

Job Summary:

We are looking for a highly analytical and detail-oriented Data Analytics Compensation Analyst to join global HR team. The ideal candidate will have significant experience in managing large, complex datasets, with a particular focus on compensation data. You will be responsible for analyzing and interpreting compensation data, providing insights to support HR decision-making, and ensuring data accuracy across global compensation initiatives.

Key Responsibilities:

Compensation Data Management:

- Manage, organize, and maintain large and complex datasets related to employee compensation across multiple regions.

- Ensure the integrity, accuracy, and confidentiality of compensation data.

- Collaborate with HR and payroll teams to gather and validate compensation data from various sources.

Data Analytics & Reporting:

- Analyze compensation data to identify trends, gaps, and areas of improvement.

- Develop and maintain compensation dashboards and reports that provide insights to HR leadership.

- Provide analytical support for compensation planning, salary reviews, and benchmarking activities.

Global HR Collaboration:

- Work closely with global HR teams to support compensation initiatives across different regions.

- Assist in the design and implementation of global compensation strategies that align with business goals.

- Participate in global compensation surveys and analyze market data to ensure competitive compensation practices.

Process Improvement:

- Identify opportunities to streamline and automate data management and reporting processes.

Project Management:

- Support global HR projects related to compensation, ensuring data-related tasks are completed on time.

- Track and report on the progress of compensation-related projects, providing regular updates to stakeholders.

- Collaborate with IT and HRIS teams to enhance compensation data systems and tools.

Experience:

- 3-5 years of experience in data analytics, preferably within HR or compensation.

- Proven experience in managing and analyzing large, complex datasets.

- Experience working as part of a global HR team and managing compensation data across multiple regions.

Technical Skills:

- Advanced proficiency in Excel, including pivot tables, VLOOKUP, HLOOKUP, and complex formulas.

- Proficiency in data analytics tools such as Power BI, Tableau, or similar.

- Familiarity with HRIS systems (e.g., Workday, SAP SuccessFactors) and compensation management software.